#electromyogram

[bugbyte]

Medical nonsense! Spent my evening crying about it. That’s becoming my new hobby.

Some of this discusses needles and medical trauma, and even though I’m tagging those I also want to be up front because it’s pretty heavy.

Got a letter from an office I haven’t been to yet that’s doing yet more genetic testing for something that’s for sure confirmed to run on one side of my family and will also Mess You Up, and instead of being informed by a person it’s just. Like 3 sentences that vaguely explain this other test they want to do.

It’s a nerve conduction test, plus an electromyogram, both of which involve sticking a bunch of needles into muscles and then either putting electricity in to see what happens or measuring electrical output on an oscilloscope. Which, because I love electronics sounds fascinating on the surface except for the needles part and realizing that those suckers are going to have to go deep to actually touch muscle (which I learned from trigger point injections) and so yeah no I am filled with a copious level of nope and dread. The nah cup runneth over. I’m going to try and speak to a human and see if this is actually necessary because I don’t have symptoms of the genetic thing presently, but I was advised to test for the gene now because it appears later in life. And if I can do anything or science improves before then, I want to know.

Then I thought about it too much and had a panic attack, which took a while to put 2 and 2 together, but it’s trauma, it’s always trauma if you keep peeling back layers. I had surgery in mid-2020, sort of unexpectedly, and at the height of the pandemic. I had never had surgery before, so I was in the hospital, alone, cut off from family and support people because they took my belongings to a locker, so my phone was out of my hands. At the time I was much worse about dealing with needles than I am now and got a bunch of surprise blood draws and injections and several failed IVs in pre op when I had mentally prepared for…one IV.

Anyway, I was having a panic attack because I had been told not to take my meds beforehand and they threw my spouse out of the waiting area even though I had been told he could stay with me because of my anxiety. I tried to communicate all of this to the nurses setting me up but, man, these two just had some kind of good cop/bad cop routine going on and Bad Cop was trying to get blood from my hand and slapping my veins viciously. The other nurse was in my other arm placing the IV but the tube size was incorrect and instead it started leaking everywhere, so Bad Cop came over to help and just applied an excessive amount of pressure to keep the IV in place while a new tube was put in but man, it did not need to be nearly that rough. I was not bleeding and it wasn’t meds going in, just saline. All of this did not help my panic attack. She was just clearly pissed about having to deal with me and got away with just enough physical violence that could be written off as necessary for the blood draw and me exaggerating because of the panic attack. I wasn’t exaggerating though. I had bruises for over a month. I bruise easily, but this was something else.

The first person there to show me any kindness was the anesthesiologist who spoke kindly to me and talked about the procedure and then dosed me with versed to help with the panic. Here’s the thing: versed is supposed to calm you down and make you forget what’s happening. My anxiety was so high that she had to come back for another dose. I clearly remember everything up to being put under. My brain was fighting that hard, under the impression it was going to die, because panic attacks do that. I felt like a wilted plant but I had total awareness in a limp body, which was also a mildly terrifying experience.

Anyway, dropping a weird new test on me this week with very little information or justification, that’s apparently needle based and described as “mildly uncomfortable” (one of the greatest lies in medicine) just slapped every button on my console like a kid in an elevator.

I’m just, not willing to put myself in a room alone with people I do not know who are going to stick me and tell me “it doesn’t hurt that bad.” Baby, I have a connective tissue disorder, everything hurts that bad. Trigger points leave me bruised for a week. I sublux my shoulder on the regular and have to straighten my fingers because the joints have popped out and my free floating fingers are point more sideways. Tightly-focused, sharp, drawn-out pains are my kryptonite, but at least I’m self aware.

So. You know. Crying it out and trying to parse where all this defense mode came from, and what do you know, it’s hospital trauma. Chalk that up as a new one. Or an old one. Brains are awful. I’ll get through, I always do, but I feel like I keep re-emerging as a new person every time which is a confusing feeling.

[ipainspecialist]

Effective Shoulder Pain Therapy: Find a Specialist in Your Area

Shoulder injuries can happen in any part of the shoulder, including the joints, tendons, ligaments, or bones.If the injury causes pain that doesn't improve within a few weeks, it's best to see a doctor who specializes in shoulder conditions.They can diagnose the problem and develop a personalized treatment plan that may include specialized therapies top romote faster healing. They can also provide patient education to reduce your risk of re-injury.

But which specialist should you visit, and how do you know if they’re the right doctor for you? This article has the answers you need to make an informed choice.

For what conditions should I seek shoulder pain therapy near me?

Conditions that cause shoulder pain include the following:

Frozen shoulder: Inflammation that causes stiffness and pain, making it difficult to move your shoulder

Osteoarthritis: A wear-and-tear arthritis that naturally happens as you age

Gout: A type of arthritis where crystals form in your joints, causing pain and inflammation

Rheumatoid arthritis: A type of arthritis where your immune system attacks the joints, resulting in pain and inflammation

Rotator cuff tear: A tear in one of your tendons or muscles surrounding the upper area of the humerus, often caused by continued overuse or a sudden injury

Labral tear: Usually caused by overuse or an accident

Shoulder bursitis, tendonitis, and dislocation

How do I know if a specialist is qualified to treat me?

Look for a board-certified pain doctor specializing in interventional pain. Make sure they have a track record of helping their patients recover from their injuries or achieve long-term pain relief from shoulder pain. Interventional PM&R/ Pain Specialists do their best to avoid invasive surgery when treating injuries and pain. They only recommend it when they believe it can benefit you if their non-surgical and minimally invasive treatments don’t work.

What can I expect during shoulder pain therapy near me?

A PM&R/ Pain Specialist will examine your symptoms and order a series of tests, such as an MRI or CT Scan. A shoulder X-ray may help them identify a fractured humerus, dislocation, or osteoarthritis. An EMG (electromyogram) may also be included to evaluate your nerve function.

Based on your symptoms, the interventional PM&R/ Pain Specialist will customize a treatment plan. It may involve physical therapy to improve your range of motion and strengthen the shoulder muscles. Over-the-counter pain relievers and cortisone injections may be recommended to reduce inflammation and pain. In addition, the doctor may prescribe RICE (Rest, Ice, Compression, and Elevation) at home.

Where can I find shoulder pain therapy near me?

Interventional PM&R/ Pain Specialists at Houston Spine & Joint Pain Consultants are ready to see you. Book an appointment at IpainSpecialist.com or call 832-777-7246.

[harshnews]

Torticollis Treatment Market Size, Share, Trends, Opportunities, Key Drivers and Growth Prospectus

"Torticollis Treatment Market - Industry Trends and Forecast to 2029

Global Torticollis Treatment Market, By Type (Temporary Torticollis, Muscular Torticollis, Klippel-Feil Syndrome, Fixed Torticollis, Cervical Dystonia), Treatment (Medication, Surgery, Physical Therapy, Others), Diagnosis (X-Ray, Computed Tomography (CT) Scan, Magnetic Resonance Imaging (MRI), Ultrasound, Cervical Spine Examination, Blood Tests, Electromyogram (EMG), Others), Symptoms (Limited Movement of Head, Headache, Head Tremor, Neck Pain, Shoulder That is Higher Than the Other, Stiffness of the Neck Muscles, Swelling of the Neck Muscles, Others), Dosage (Injection, Tablets, Others), Route of Administration (Oral, Parenteral, Others), End-Users (Clinic, Hospital, Others), Distribution Channel (Hospital Pharmacy, Retail Pharmacy, Online Pharmacy), Country (U.S., Canada, Mexico, Brazil, Argentina, Peru, Rest of South America, Germany, France, U.K., Netherlands, Switzerland, Belgium, Russia, Italy, Spain, Turkey, Hungary, Lithuania, Austria, Ireland, Norway, Poland, Rest of Europe, China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Vietnam, Rest of Asia-Pacific, Saudi Arabia, U.A.E, Egypt, Israel, Kuwait, South Africa, Rest of Middle East and Africa) Industry Trends and Forecast to 2029

Access Full 350 Pages PDF Report @

**Segments**

- Based on product type, the wrist replacement orthopedic devices market can be segmented into total wrist replacement devices and partial wrist replacement devices. Total wrist replacement devices replicate the movements of the wrist joint, offering patients a higher level of functionality and mobility. Partial wrist replacement devices, on the other hand, replace only the damaged parts of the wrist joint, preserving healthy bone and tissue.

- Geographically, the market can be segmented into North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa. North America dominates the market due to a high prevalence of orthopedic conditions, advanced healthcare infrastructure, and favorable reimbursement policies. Asia-Pacific is expected to witness significant growth in the coming years due to increasing healthcare expenditure, growing geriatric population, and rising awareness about orthopedic treatments.

- On the basis of end-users, the wrist replacement orthopedic devices market can be segmented into hospitals, orthopedic clinics, ambulatory surgical centers, and others. Hospitals account for the largest market share as they are the primary point of diagnosis and treatment for orthopedic conditions. Orthopedic clinics are also witnessing growth due to specialized care and advanced treatment options for wrist replacements.

**Market Players**

- Some of the key players in the wrist replacement orthopedic devices market include Stryker Corporation, Zimmer Biomet Holdings Inc., Medtronic, Smith & Nephew, Wright Medical Group N.V., MicroPort Scientific Corporation, Integra LifeSciences Holdings Corporation, Acumed LLC, and Skeletal Dynamics LLC. These companies focus on product innovation, strategic partnerships, and mergers & acquisitions to strengthen their market presence and meet the evolving needs of healthcare providers and patients in the orthopedic space.

The wrist replacement orthopedic devices market is witnessing steady growth globally, driven by the increasing prevalence of wrist injuries and degenerative conditions, advancements in implant technologies, and the rising aging population. With ongoing research and development activities aimed at enhancing the durability, functionality,The wrist replacement orthopedic devices market is experiencing significant growth globally, fueled by factors such as the growing incidence of wrist injuries and degenerative conditions, technological advancements in implant designs, and the expanding aging population. As advancements in medical technology continue to enhance the durability and functionality of wrist replacement devices, patients are benefiting from improved outcomes and quality of life. Moreover, the increasing awareness about orthopedic treatments and the availability of advanced healthcare facilities in key regions like North America and Europe are further driving the market growth.

Total wrist replacement devices offer patients a comprehensive solution by replicating the natural movements of the wrist joint, enabling higher levels of functionality and mobility. On the other hand, partial wrist replacement devices focus on replacing only the damaged portions of the wrist joint, preserving healthy bone and tissue. This segmentation allows healthcare providers to tailor treatment options based on the specific needs and conditions of individual patients, enhancing the overall effectiveness of wrist replacement procedures.

Geographically, North America stands out as a dominant market for wrist replacement orthopedic devices, driven by a high prevalence of orthopedic conditions, well-established healthcare infrastructure, and favorable reimbursement policies. However, the Asia-Pacific region is emerging as a significant growth opportunity, fueled by increasing healthcare expenditure, a rising geriatric population, and growing awareness about orthopedic treatments among patients and healthcare professionals. The Middle East & Africa and Latin America regions are also expected to contribute to the market growth, albeit at a slower pace compared to the more developed regions.

In terms of end-users, hospitals play a crucial role in the wrist replacement orthopedic devices market, accounting for the largest market share. Hospitals serve as the primary point of diagnosis and treatment for orthopedic conditions, offering comprehensive care to patients requiring wrist replacements. Orthopedic clinics are also witnessing growth due to their focus on specialized care and advanced treatment options for wrist replacement procedures. Additionally, ambulatory surgical centers are becoming increasingly popular among patients seeking outpatient orthopedic procedures, offering convenience and cost-effectiveness.

**Segments**

- Total wrist replacement devices replicate natural wrist joint movements, offering enhanced functionality and mobility. - Partial wrist replacement devices replace damaged portions, preserving healthy bone and tissue. - Geographically, North America leads due to advanced healthcare infrastructure and reimbursement policies. - Asia-Pacific is expected to grow significantly with increasing healthcare expenditure and aging population. - End-users include hospitals, orthopedic clinics, and ambulatory surgical centers.

**Global Torticollis Treatment Market** - **Type** - Temporary Torticollis - Muscular Torticollis - Klippel-Feil Syndrome - Fixed Torticollis - Cervical Dystonia - **Treatment** - Medication - Surgery - Physical Therapy - Others - **Diagnosis** - X-Ray - Computed Tomography (CT) Scan - Magnetic Resonance Imaging (MRI) - Ultrasound - Cervical Spine Examination - Blood Tests - Electromyogram (EMG) - Others - **Symptoms** - Limited Movement of Head - Headache - Head Tremor - Neck Pain - Shoulder That is Higher Than the Other - Stiffness of the Neck Muscles - Swelling of the Neck Muscles - Others - **Dosage** - Injection

TABLE OF CONTENTS

Part 01: Executive Summary

Part 02: Scope of the Report

Part 03: Research Methodology

Part 04: Market Landscape

Part 05: Pipeline Analysis

Part 06: Market Sizing

Part 07: Five Forces Analysis

Part 08: Market Segmentation

Part 09: Customer Landscape

Part 10: Regional Landscape

Part 11: Decision Framework

Part 12: Drivers and Challenges

Part 13: Market Trends

Part 14: Vendor Landscape

Part 15: Vendor Analysis

Part 16: Appendix

Key Coverage in the Torticollis Treatment Market Report:

Detailed analysis of Torticollis Treatment Market by a thorough assessment of the technology, product type, application, and other key segments of the report

Qualitative and quantitative analysis of the market along with CAGR calculation for the forecast period

Investigative study of the market dynamics including drivers, opportunities, restraints, and limitations that can influence the market growth

Comprehensive analysis of the regions of the Torticollis Treatment industry and their futuristic growth outlook

Competitive landscape benchmarking with key coverage of company profiles, product portfolio, and business expansion strategies

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About Data Bridge Market Research:

Data Bridge set forth itself as an unconventional and neoteric Market research and consulting firm with unparalleled level of resilience and integrated approaches. We are determined to unearth the best market opportunities and foster efficient information for your business to thrive in the market. Data Bridge endeavors to provide appropriate solutions to the complex business challenges and initiates an effortless decision-making process.

Contact Us:

Data Bridge Market Research

US: +1 614 591 3140

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Email: corporatesales@databridgemarketresearch.com"

[deshpandeisha]

Understanding Amyotrophic Lateral Sclerosis (ALS)

The global amyotrophic lateral sclerosis market size reached USD 613.0 Million in 2022 and is expected to register a revenue CAGR of 5.3% during the forecast period, according to latest analysis by Emergen Research. The population's propensity towards a sedentary lifestyle is the key factor expected to drive the revenue growth of the market.

The report studies the historical data of the Amyotrophic Lateral Sclerosis market and offers valuable information about the key segments and sub-segments, revenue generation, demand and supply scenario, trends, and other vital aspects. The report offers an accurate forecast estimation of the Amyotrophic Lateral Sclerosis industry based on the recent technological and research advancements. It also offers valuable data to assist the investors in formulating strategic business investment plans and capitalize on the emerging growth prospects in the Amyotrophic Lateral Sclerosis market.

Download Free Sample Report of Global Amyotrophic Lateral Sclerosis Market @ https://www.emergenresearch.com/request-sample/1596

The study outlines the rapidly evolving and growing market segments along with valuable insights into each element of the industry. The industry has witnessed the entry of several new players, and the report aims to deliver insightful information about their transition and growth in the market. Mergers, acquisitions, partnerships, agreements, product launches, and joint ventures are all outlined in the report.

The leading market contenders listed in the report are:

Corestem, Inc, BrainStorm Cell Limited, Amylyx Pharmaceuticals, Inc., Biogen Inc., Cytokinetics Inc., Eledon Pharmaceuticals, Inc., Revalesio Corporation, Ascend Laboratories LLC, Ionis Pharmaceuticals, Inc., and Treeway B.V.

Research Report on the Amyotrophic Lateral Sclerosis Market Addresses the Following Key Questions:

Who are the dominant players of the Amyotrophic Lateral Sclerosis market?

Which regional market is anticipated to have a high growth rate over the projected period?

What consumer trends and demands are expected to influence the operations of the market players in the Amyotrophic Lateral Sclerosis market?

What are the key growth drivers and restraining factors of the Amyotrophic Lateral Sclerosis market?

What are the expansion plans and strategic investment plans undertaken by the players to gain a robust footing in the market?

What is the overall impact of the COVID-19 pandemic on the Amyotrophic Lateral Sclerosis market and its key segments?

Browse Full Report Description + Research Methodology + Table of Content + Infographics@ https://www.emergenresearch.com/industry-report/amyotrophic-lateral-sclerosis-market

Emergen Research has segmented the global Amyotrophic Lateral Sclerosis market on the basis of type, type of care, and region

Segments Covered in this report are:

Type Outlook (Revenue, USD Million; 2019-2032)

Sporadic ALS

Familial ALS

Treatment Type Outlook (Revenue, USD Million; 2019-2032)

Chemotherapy

Medication

Stem Cell Therapy

Physical Therapy

Respiratory Therapy

Speech Therapy

Others

Diagnosis Outlook (Revenue, USD Million; 2019-2032)

Electromyogram

MRI

Blood and Urine Tests

Spinal Tap

Muscle Biopsy

In conclusion, the Amyotrophic Lateral Sclerosis Market report is an exhaustive database that will help readers formulate lucrative strategies. The Amyotrophic Lateral Sclerosis Market report studies the latest economic scenario with value, drivers, constraints, growth opportunities, challenges, demand and supply ratio, production capacity, import/export status, growth rate, and others. Additionally, the report also undertakes SWOT Analysis and Porter’s Five Forces Analysis to study the leading companies.

Request Customization as per your specific requirement@ https://www.emergenresearch.com/request-for-customization/1596

[nursingucgconference]

Check out the 14IHNUCG2024 on Biomedical Signal Analysis with Machine Intelligence.

The fusion of biomedical signal analysis with machine intelligence marks a transformative era in healthcare. This innovative confluence is paving the way for advancements in diagnosis, treatment, and patient care, heralding a future where machines enhance human capabilities in unprecedented ways.

Track 15: Biomedical Signal Analysis with Machine Intelligence In front of experts from all around the world, you can present and publish your work at the 14th International Healthcare, Hospital Management, Nursing, and Patient Safety Conference. Submit your abstract as soon as possible and join us in Dubai, UAE, from July 25–27, 2024. Submit here: https://nursing-healthcare.universeconferences.com/biomedical-signal-analysis-with-machine-intelligence/ You can submit your abstract, poster presentation, case studies, research papers here: https://nursing-healthcare.universeconferences.com/submit-abstract/

Understanding Biomedical Signals

Biomedical signals are vital indicators of physiological processes in the body. They include:

Electrocardiograms (ECG): Monitor heart activity.

Electroencephalograms (EEG): Measure brain wave patterns.

Electromyograms (EMG): Record muscle electrical activity.

Photoplethysmograms (PPG): Assess blood flow and heart rate.

These signals are inherently complex and rich in information. Analyzing them effectively requires sophisticated techniques capable of handling their non-linear, non-stationary nature.

The Role of Machine Intelligence

Machine intelligence, encompassing machine learning and deep learning, is revolutionizing biomedical signal analysis. Here’s how:

1. Enhanced Diagnostic Accuracy

Machine learning algorithms excel at pattern recognition, making them ideal for detecting anomalies in biomedical signals. For instance, convolutional neural networks (CNNs) have demonstrated high accuracy in identifying arrhythmias in ECG signals, outperforming traditional methods.

2. Real-time Monitoring

Wearable devices equipped with sensors can continuously monitor vital signs. Machine learning models process this data in real-time, alerting healthcare providers to any irregularities immediately. This real-time analysis is crucial for conditions requiring constant monitoring, such as heart diseases and epilepsy.

3. Predictive Analytics

By analyzing historical biomedical data, machine learning algorithms can predict future health events. For example, predictive models can forecast the likelihood of a stroke or heart attack, enabling preventative measures. This shift from reactive to proactive healthcare is a game-changer.

4. Personalized Medicine

Every individual is unique, and so is their health data. Machine intelligence can tailor treatments based on a patient’s specific biomedical signals, optimizing efficacy and minimizing side effects. Personalized medicine is particularly beneficial in managing chronic conditions like diabetes and hypertension.

Your Path to Healthcare Excellence Begins Here. Register for the 14th International Healthcare, Hospital Management, Nursing, and Patient Safety Conference in Dubai, UAE, & Virtual from July 25-27, 2024.

Register Now: https://nursing-healthcare.universeconferences.com/registration/ Register to attend online: https://nursing-healthcare.universeconferences.com/virtual-registration/

Techniques in Biomedical Signal Analysis

Several machine learning techniques are instrumental in biomedical signal analysis:

1. Supervised Learning

In supervised learning, algorithms are trained on labeled datasets. For example, an ECG dataset labeled with different types of heart arrhythmias can train a model to classify new ECG signals accurately.

2. Unsupervised Learning

Unsupervised learning algorithms, such as clustering, can discover hidden patterns in unlabeled biomedical data. This is useful for exploratory analysis and identifying new biomarkers for diseases.

3. Reinforcement Learning

Reinforcement learning involves training algorithms through trial and error to achieve a specific goal. It has potential applications in adaptive biomedical devices, such as personalized insulin pumps for diabetes management.

Challenges and Future Directions

Despite its promise, integrating machine intelligence with biomedical signal analysis presents challenges:

Data Privacy: Ensuring the confidentiality of sensitive health data is paramount.

Interoperability: Standardizing data formats across different devices and platforms is essential for seamless integration.

Regulatory Compliance: Adhering to medical regulations and obtaining necessary approvals can be time-consuming.

Looking ahead, continued advancements in computational power and algorithms will further enhance the capabilities of machine intelligence in biomedical signal analysis. Collaboration between technologists, healthcare professionals, and regulatory bodies will be crucial to navigate the challenges and fully realize the potential of this transformative field.

Conclusion

Biomedical signal analysis with machine intelligence is ushering in a new era of healthcare innovation. By harnessing the power of machine learning, we can achieve more accurate diagnostics, real-time monitoring, predictive analytics, and personalized treatment plans. As technology continues to evolve, the synergy between biomedical signals and machine intelligence will undoubtedly lead to more profound and life-saving advancements in healthcare.

Transforming Care: Join us as a Speaker, Listener, Visitor, or Poster presenter at the CME/CPD/CE accredited 14th International Healthcare, Hospital Management, Nursing, and Patient Safety Conference in Dubai, UAE, from July 25-27, 2024.

Register here: https://nursing-healthcare.universeconferences.com/registration/ Register to attend online: https://nursing-healthcare.universeconferences.com/virtual-registration/ WhatsApp: https://wa.me/442033222718

[molsons112000]

So I'm watching the movie unthinkable. And they're interrogating an individual who planted 3 nuclear bombs.

Now there is a way to read thoughts and it is the device they use for prosthetic limbs.

Now you have to generate the thoughts. When that is where the questioning comes in.

So you want them to flashback to a particular time in place. Is this how flashbacks work in the mind. So you can trigger these flashbacks and acquire the information you need of the individual.

The Guardian

https://www.theguardian.com › jun

How the brain stores traumatic images and triggers flashbacks

Jun 4, 2017 — Images from the Manchester bombing are likely to cause post-traumatic stress disorder, says Daniel Glaser

So another way to induce It is to loosen the genetics to be able to use suggestions to get certain types of flashbacks. So yes there's a way to get the information you need without resorting the physical violence. So in these critical situations these tactics can be used...... Here there's three nuclear bombs and play in three different major cities. So yes that meets the criteria......

VICE

https://www.vice.com › ... › Health

We're Starting to Understand How Psychedelic Flashbacks Work

May 19, 2017 — But if they do, and you seek professional intervention to treat them, you may be diagnosed with what's known as "Hallucinogen Persisting ...

National Institutes of Health (NIH) (.gov)

https://pubmed.ncbi.nlm.nih.gov › ...

LSD Flashbacks - The Appearance of New Visual Imagery Not ...

by AG Lerner · 2014 · Cited by 20 — A side effect associated with the use of synthetic hallucinogens such as lysergic acid diethylamide-

Here's some information about prosthetic hands:

RPNIs

These devices use electromyogram (EMG) recording and ultrasound imaging to allow human amputees to control a robotic hand. When an amputee thinks about moving their phantom hand, the RPNIs contract, generating EMG signals that act as real-time control signals for the prosthetic hand.

Implantable myoelectric sensors (IMES)

These sensors have been implanted in transradial amputees to provide stable myoelectric control.

Implanted electrodes

These electrodes provide better controllability than conventional surfaces.

Microprocessors

Most modern prosthetic arms use microprocessors to detect EMG signals from nerve endings and enable muscle contractions. These signals are then sent to different parts of the artificial limb to trigger movement. 



NCBI

Control of Prosthetic Hands via the Peripheral Nervous System

Apr 8, 2016 — In order to overcome these problems, the substitution of surface EMG with intramuscular EMG has been proposed. Implantable Myoelectric Sensors (IMES) have recently been implanted in a transradial amputee (Pasquina et al., 2015) to provide intuitive and stable myoelectric control.

Spotlight

Mind Control Prosthesis | University of Michigan Engineering | Spotlight



Journal of NeuroEngineering and Rehabilitation

Grip control and motor coordination with implanted and ...

Apr 11, 2019 — Results showed that implanted electrodes provide superior controllability over the prosthetic terminal device compared to conventional surface ...

wcbl.com

How Do Prosthetic Arms Work - Westcoast Brace and Limb

Nov 14, 2022 — Most modern prosthetic arms use microprocessors to detect electromyographic (EMG) signals from nerve endings and enable muscle contractions. These signals are sent to the different parts of the artificial limb to trigger movement on the arm, wrist, and fingers.

Other options include:

Bionic arms

These arms can amplify signals from the brain to the muscles and prosthesis, control a virtual limb, and perform daily tasks. The process of implanting a bionic arm involves developing an artificial joint, training the AI, and amplifying signals from the brain to the muscles and prosthesis.

AI brain implants

These experimental implants can help paralyzed people use their hands again by deciphering desires. 

[suzetonic]

Fucking electromyogram showed no abnormalities, so I'm back to square one with my fucking chronic leg pain. I hate my life.

[kayvanh123]

Common Questions Regarding Spinal Stenosis

Spinal stenosis is a condition characterized by the narrowing of spaces within the spine, resulting in heightened pressure on the spinal nerves. This leads to a range of unpleasant and potentially painful symptoms, including muscle weakness, tingling in the extremities, loss of bladder control, and more. It can manifest anywhere along the spine, but is most commonly observed in the neck or lower back. Those with spinal stenosis often experience issues with balance and, in severe cases, may encounter difficulty in movement.

Over time, spinal stenosis can progress beyond mere discomfort. Individuals with severe cases may suffer from persistent numbness and balance problems. If left untreated, it can severely restrict mobility, diminish independence, and potentially lead to paralysis.

Causes of Spinal Stenosis: Spinal stenosis can be attributed to various factors, including:

Osteoarthritis: This specific form of arthritis involves the gradual wearing down of cartilage between bone joints, leading to the formation of bone spurs. When this occurs in the spine, these bone spurs can reduce the space between vertebrae, exerting pressure on the nerves. Other bone-related conditions may also contribute to the development of spinal stenosis.

Spinal Injury or Trauma: This can result in the displacement of vertebrae, causing nerve compression and the associated painful symptoms of spinal stenosis.

Tumors: In certain cases, tumors can develop in or near the spine.

Ligament Issues: Ligaments play a crucial role in supporting the spine. Tightening of ligaments, in some instances, can lead to vertebrae displacement, thereby causing spinal stenosis.

Diagnosing Spinal Stenosis: A formal diagnosis can only be made by a qualified medical professional. However, individuals experiencing any of the aforementioned symptoms should seek evaluation for spinal stenosis. After a comprehensive physical examination, a doctor may order various tests, such as X-rays of the neck, back, and spine. The results will be scrutinized to ascertain whether there is evidence of spinal column space narrowing or the presence of bone spurs in the spine. Advanced imaging through CT scans or MRIs may also be employed. Additionally, nerve function tests in the legs, conducted using an electromyogram (EMG), may be administered.

Treating Spinal Stenosis: Regrettably, there is no outright cure for spinal stenosis. However, with appropriate treatment, the condition can be managed, its progression slowed, and individuals can lead a comfortable life.

Treatment options encompass:

Exercise: Properly executed exercise is a highly effective yet often overlooked treatment for various conditions, including spinal stenosis. When tailored to specific issues, exercise aids in building muscle strength, restoring balance, and safeguarding movement. Collaboration with a physical therapist is likely to formulate a tailored treatment plan.

Cortisone Injections: Cortisone can be administered to alleviate swelling within the spine. This steroid is injectable and many individuals find it effective in pain relief. However, its positive effects are typically temporary, necessitating repeat injections or further treatment in the future.

Surgery: For severe cases, surgery may be recommended to manage the condition. This often involves a decompression laminectomy, wherein bone spurs and excess bone material are removed. This procedure is followed by spinal fusion, which involves fusing vertebrae together. Surgery is usually considered a last resort due to associated pain and lengthier recovery time.

For more information about our clinic, medical professionals, and treatment options, please visit our main website.

[ameritechdistrib]

Neurologists Near Me

Neurologists Near Me

WELCOME TO ADVANCED ASSOCIATES IN NEUROLOGY! WE ARE DEDICATED HEALTH PROFESSIONALS, FOCUSED ON PROVIDING THE HIGHEST QUALITY OF CARE AND SERVICE TO OUR PATIENTS

At Advanced Associates in Neurology, we understand the importance of comprehensive care and treatment, and we work hard to ensure that you receive the best care possible. Dr. Ourmazdi is a Board of Psychiatry and Neurology certified neurologist with over 26 years of experience in the field of inpatient and outpatient Neurology. After finishing Medical School in Chicago in 1997 he completed Neurology residency and fellowship at the University of Southern California in 2000. He has been in private practice since 2001 and has been working tirelessly at both St. John’s hospitals in Oxnard and Camarillo in addition to running a very busy clinic predominantly based in Camarillo. At Advanced Associates in Neurology, we strive to provide a welcoming and comfortable environment where our patients feel secure, understood and cared for.

At Advanced Associates in Neurology, we understand that each patient is unique and requires an individualized approach to care and treatment. We take the time to listen to you and your family and to understand your needs and concerns. We develop a personalized treatment plan that is tailored to your specific needs. We strive to keep you informed and involved in all aspects of your care throughout the process.

At Advanced Associates in Neurology, we provide a wide range of diagnostic tests, a home sleep study, electroencephalogram, electromyogram and nerve conduction studies. Based on the patient’s requirements we refer patients to other facilities for testing such as MRI, CT scans, and PET scans, as well as laboratory testing and genetic testing. We also offer treatments such as medications, lifestyle changes, physical therapy, and rehabilitation.

At Advanced Associates in Neurology, we are committed to providing the highest quality of care and service to our patients. Our staff is friendly and knowledgeable, and we strive to make sure that our patients feel comfortable and well-served. We understand that a visit to the doctor can be a stressful experience, and we work hard to make sure that you are treated with respect and that your individual needs are addressed.

We are proud to be your partner in health and look forward to providing you with the best care and service possible. Thank you for choosing Advanced Associates in Neurology!

Based on availability, for non Emergency same day appointment please call 1-805-383-2929

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Cervical; Cervical stenosis- Causes, Symptoms, Diagnosis, Treatment

Human neck consists of a long flexible columns, called spinal cord generally known as backbone, which ends nearly through the whole body. In the whole spinal cord, cervical column includes seven bones( i.e. C1- C1 vertebral columns), which are split by inter-vertebral discs permitting backbone to move freely and acts as shocks absorber during an activity. At each vertebrae position, there’s a bunch of spinal nerves that exit through the small openings (on both left and right sides). These nerves of peripheral nervous system serve the muscles, skin and tissues of the body and therefore giving sensation and movement to all parts of the body.

Cervical is the pain in your backbone or in the region around your vertebral column beneath the head. Cervical pain may last from a few days to numerous years, depending on the cause of the ache.

The common causes leading to cervical pain includes mental stress, physical stress, a poor posture, aging, injuries, cervical stenosis and other health conditions.

Cervical stenosis

Cervical stenosis- A condition in which the spinal channel is too small for the nerve roots. This can invoke harm to the spinal cord or pinch nerves as they exit the spinal canal and responding in a condition called myeloradiculopathy.

Cervical stenosis causes

Factors contributing to the development of cervical stenosis includes-

Bone spurs- Damage from arthritis can cause extra bone to grow in the spinal region( called bone spurs). They can even push into the cervical canal region. Hence, blocking the pinch nerves exiting the spinal canal, so developing cervical stenosis.

Thick ligaments- The strong cords that help hold the bones of the spinal cord turn stiff and thick over time. Thick ligaments can push into the spinal channel hence, blocking nerves exiting the spinal canal, resulting in a condition called spinal stenosis.

Tumors- In rare cases, tumors may develop inside the spinal canal. Hence, blocking the pinch nerves exiting from the spinal conduit leading to cervical stenosis.

Herniated discs- Discs are the soft cushions that act as shock absorbers between your spinal bones.However, it can press on the spinal cords and the pinch nerves. If these disc’s turn soft then the inner material leaks out.

Spinal injuries- Motor vehicle accidents and other trauma can invoke spine to get damaged or break or move out of their position. Hence, causing cervical stenosis to the individual.

Cervical stenosis symptoms

You may or may not have symptoms first, when you have spinal stenosis/ cervical stenosis. But if an individual feels the symptoms, then it varies from one person to another. Symptoms of cervical stenosis are-

Neck pain

Insensibility and tinkling in the arm, leg, or foot.

Weakness or clumsiness in the arm, hand, leg or foot.

Problems with balance.

Problem like loss of functioning of hands like writing, buttoning shirts,etc.

How is cervical pain diagnosed?

Computed tomography scan (CT Scan/ CAT Scan)

Electromyogram and nerve conduction studies (EMG/NCS)

Magnetic resonance imaging (MRI)

Myelogram

X-Rays

Cervical stenosis treatments

Treatment of cervical stenosis (spinal stenosis) depends on what is the cause of the symptoms the person is suffering from. If an individual having mild symptoms, then it can be treated at home by self-care remedies first. But if the symptoms worsen, then the person must recommend physical therapy (physiotherapy), medication and finally surgery.

Self care remedies includes:-

Applying heat- Heat is usually a better choice to treat pain. Using Heat pads one can relieve pain, relax stiffed muscles and can even improve blood flow.

Applying cold- If heat isn’t ease your ache or symptom, then person can try ice (like ice packs, frozen gel packs, or frozen bag of peas/corn). Use of ice can reduce swelling, tenderness and inflammation.

Exercise- Exercise can help you in relieving pain, strengthening muscles supporting your spine, improving your flexibility and even balancing.

Non-surgical methods include:-

Physiotherapy- One can visit a physiotherapy centre where therapist can teach you how to improve your posture, improve your flexibility, or can teach you many ways to balance your spine etc. Physiotherapy using electronic machines, and other things can help you to relieve pain and strengthen your spine.

Oral medications- Non steroidal anti-inflammatory medications (NSAIM’s or NSAID’s) — such as ibuprofen, aspirin- or acetaminophen, naproxen etc can help relieve inflammation, swelling and pain from spinal/ cervical stenosis. Muscle relaxants can even treat muscle cramps and spasms.

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Spinal Cord Injury – What causes it and how can it be managed

Spinal cord injuries can be the most challenging ones to face. Not only do they cause long-term discomfort but at times can prove fatal based on the extent of the injury. According to renowned doctors associated with United Hospital, the well-known centre for Spine surgery in Bangalore, a spinal cord injury can impact the spinal cord itself or the nearby located bones and tissues. Let’s understand Spinal cord injury in more detail.

What are Spinal cord injuries?

The spinal cord acts as an important medium to transmit messages between the brain and the rest of our body. According to vastly experienced doctors working with United Hospital rated as the best orthopaedic hospital in Bangalore, most spinal cord injuries occur due to sudden or traumatic blows to the vertebrae (Spinal Bones). In very rare cases, the injury can cause life-threatening damage.

What are the symptoms of a spinal cord injury?

Versatile spine surgeons working at United Hospital, the favoured Multispeciality hospital in Bangalore for spinal cord treatment, Spinal cord injury symptoms vary depending upon the type and location of the injury. Some of the commonly observed symptoms include:

Feeling weak in the arms and legs

Numbness in the arms and legs

Pain in the neck and back

Difficulty breathing.

Unusual inflammations in the spine

What are the causes of spinal cord injury?

Top Spine surgeons in Bangalore associate the cause of spinal cord injuries to the following factors

Road accidents

Falls

Sports injuries

Physical assaults

How is Spinal cord injury diagnosed?

At United Hospital, the best and preferred hospital for spinal cord injury treatment in Bangalore, our efficient doctors is alert to attend to any emergency. Based on the symptoms, it is ensured that the injury does not worsen further by taking quick actions through imaging tests and scans. At times, X-Rays are also taken to ascertain the magnitude of damage before concluding whether it is a spinal cord injury or not. If the symptom gives an indication of any nerve injury, then an Electromyogram or EMG is also done for further diagnosis.

What are the possible treatment options for Spinal Cord Injury?

United Hospital is the Best Hospital in Bangalore well-equipped with advanced diagnostic and surgical facilities to treat spinal cord injuries.

According to the best spine surgeons in Bangalore, the type of treatment depends upon the extent of the damage. Some of the treatments successfully provided at the hospital include,

Advanced surgical treatments

Medications

Injections

The treatments are aimed at

Enhancing independence and quality of life of the patient

Cutting down the risk of chronic (ongoing) health conditions.

Restoring nerve functioning by addressing nerve damage.

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Multi-Channel Data Acquisition for Biomedical Applications

Introduction

Biomedical applications require a vast amount of data to be collected and analyzed for research purposes. The data collected is often multi-dimensional and includes signals such as electroencephalogram (EEG), electrocardiogram (ECG), electromyogram (EMG), and other physiological signals. Multi-channel data acquisition systems play a significant role in collecting and analyzing this data. In this article, we will explore the concept of multi-channel data acquisition systems and their applications in biomedical research.

What is a Multi-Channel Data Acquisition System?

A multi-channel data acquisition system is a hardware and software system used to collect and analyze data from multiple sensors simultaneously. These sensors could be temperature sensors or biological sensors like EEG, ECG, and EMG. The system comprises several components, including sensors, amplifiers, filters, analog-to-digital converters (ADCs), and a computer system to store and analyze the data.

Advantages of Multi-Channel Data Acquisition Systems

Multi-channel data acquisition systems offer several advantages over traditional single-channel systems. Some of these advantages include:

Increased Efficiency: Multi-channel data acquisition systems can collect data from multiple sensors simultaneously, reducing the time needed for data collection.

Higher Quality Data: Multi-channel data acquisition systems reduce noise and interference in the collected data, resulting in higher quality data for analysis.

Flexibility: These systems can be used in a variety of applications and can be customized for specific research needs.

Applications of Multi-Channel Data Acquisition Systems in Biomedical Research

Multi-channel data acquisition systems are used extensively in biomedical research for a variety of applications. Some of these applications include:

Neuroimaging

Neuroimaging is the process of obtaining images of the brain to study its function and activity. Multi-channel data acquisition systems are used to collect EEG, magnetoencephalography (MEG), and other signals to study brain function and activity. These signals are collected from sensors placed on the scalp, and the data collected can be analyzed to understand brain activity and identify abnormal patterns that may indicate neurological disorders.

Cardiology

Cardiology is the study of the heart and its functions. Multi-channel data acquisition systems can be used to collect ECG and other cardiovascular signals to study cardiac function and detect arrhythmias. These signals are collected from sensors placed on the chest, and the data collected can be analyzed to understand heart function and diagnose heart conditions.

Sleep Research

Sleep research involves studying the different stages of sleep and the disorders that affect sleep. Multi-channel data acquisition systems can be used to collect polysomnographic signals to study sleep and disorders like sleep apnea. These signals are collected from sensors placed on the scalp, face, and chest, and the data collected can be analyzed to understand sleep patterns and diagnose sleep disorders.

Rehabilitation

Rehabilitation is the process of restoring function and mobility after an injury or illness. Multi-channel data acquisition systems can be used to collect EMG signals to study muscle activity during rehabilitation. These signals are collected from sensors placed on the skin, and the data collected can be analyzed to understand muscle activity and track progress during rehabilitation.

Conclusion

Multi-channel data acquisition systems play a crucial role in biomedical research, enabling the collection and analysis of complex multi-dimensional data. These systems offer numerous advantages over traditional single-channel systems, including increased efficiency, higher-quality data, and flexibility. Multi-channel data acquisition systems have numerous applications in biomedical research, including neuroimaging, cardiology, sleep research, and rehabilitation. These applications highlight the versatility of these systems in various research fields and their ability to provide valuable insights into different physiological processes.

The use of multi-channel data acquisition systems has revolutionized biomedical research, enabling researchers to obtain large amounts of data from multiple sources simultaneously. This data can be analyzed using various techniques, such as signal processing and machine learning, to uncover new insights into various physiological processes and diseases. Furthermore, the flexibility of these systems allows them to be customized to specific research needs, making them ideal for use in a wide range of biomedical applications.

Multi-channel data acquisition systems have emerged as a powerful tool in biomedical research, providing researchers with a means to collect and analyze complex multi-dimensional data. The increasing use of these systems is expected to continue to drive significant advancements in the field of biomedical research, leading to a better understanding and treatment of various diseases and physiological processes.

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What are the diagnostic procedures of sleep study tests?

A sleep study, also known as a polysomnography, is a diagnostic procedure that measures various physiological parameters during sleep to identify sleep disorders. The following are some of the diagnostic procedures involved in a sleep study test:

Electroencephalogram (EEG): This measures the electrical activity in the brain and helps to determine the stages of sleep.

Electromyogram (EMG): This measures muscle activity and helps to identify movements during sleep, such as leg movements and teeth grinding.

Electrooculogram (EOG): This measures eye movements and helps to identify the rapid eye movements (REM) stage of sleep.

Electrocardiogram (ECG): This measures heart activity and helps to identify any irregular heart rhythms.

Nasal airflow: This measures the flow of air through the nose and mouth during breathing.

Respiratory effort: This measures the effort required to breathe, including the movement of the chest and abdomen.

Oxygen saturation: This measures the amount of oxygen in the blood.

Carbon dioxide levels: This measures the amount of carbon dioxide in the blood.

Audio and video monitoring: This involves recording audio and video during the sleep study test to help identify any unusual movements or behaviours during sleep.

These diagnostic procedures are non-invasive and painless, and they help sleep specialists to identify the presence and severity of sleep disorders, such as sleep apnea, insomnia, narcolepsy, and restless leg syndrome.

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What is Machine Intelligence-Based Biomedical Signal Analysis? Learn more about it at the 14IHNPUCG.

In the rapidly evolving landscape of healthcare, the convergence of biomedical signal analysis and machine intelligence stands out as a transformative force. By harnessing the power of machine learning and artificial intelligence (AI), researchers and practitioners can delve deeper into complex biomedical signals, uncovering patterns and insights that were previously unattainable. This blog explores the intersection of these two fields, highlighting key applications, methodologies, and the potential they hold for the future of medicine.

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Understanding Biomedical Signals

Biomedical signals are electrical, chemical, or physical signals originating from biological systems and can include:

Electroencephalograms (EEG): Measuring brain activity.

Electrocardiograms (ECG): Recording heart activity.

Electromyograms (EMG): Assessing muscle function.

Photoplethysmograms (PPG): Monitoring blood volume changes.

Magnetic Resonance Imaging (MRI): Providing detailed images of organs and tissues.

Analyzing these signals helps in diagnosing diseases, monitoring patient health, and conducting biomedical research. However, these signals are often complex, noisy, and require sophisticated methods for meaningful interpretation.

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The Role of Machine Intelligence

Machine intelligence, encompassing machine learning (ML) and AI, provides powerful tools for handling the complexity and volume of biomedical data. Here's how machine intelligence revolutionizes biomedical signal analysis:

1. Noise Reduction and Signal Enhancement

Biomedical signals are prone to noise due to various sources like electrical interference and movement artifacts. Machine learning algorithms, particularly deep learning models, can effectively filter out noise, enhancing the quality of the signal for further analysis.

2. Feature Extraction and Pattern Recognition

ML techniques can automatically extract relevant features from raw biomedical signals. For example, in ECG analysis, machine learning models can identify key characteristics such as heart rate variability, arrhythmias, and other cardiac anomalies.

3. Predictive Analytics and Early Diagnosis

By training on large datasets, AI models can predict the onset of diseases with high accuracy. For instance, machine learning models can analyze EEG data to predict epileptic seizures or use PPG signals to detect early signs of cardiovascular diseases.

4. Personalized Medicine

Machine intelligence can analyze biomedical signals in conjunction with other data (like genetic information, lifestyle, and medical history) to provide personalized treatment plans. This approach ensures that patients receive tailored therapies that are most effective for their unique conditions.

Key Methodologies in Machine Intelligence for Biomedical Signal Analysis.

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Several machine learning methodologies are particularly effective in biomedical signal analysis:

1. Deep Learning

Deep learning, especially convolutional neural networks (CNNs) and recurrent neural networks (RNNs), is widely used for its ability to learn complex patterns from raw data. CNNs are particularly useful in image-based biomedical signals like MRI, while RNNs excel in time-series data such as ECG and EEG.

2. Support Vector Machines (SVM)

SVMs are employed for classification tasks in biomedical signal processing. They can efficiently classify different signal states, such as distinguishing between normal and abnormal heartbeats in ECG signals.

3. Principal Component Analysis (PCA)

PCA is used for dimensionality reduction, simplifying the analysis by transforming large datasets into smaller, more manageable ones without significant loss of information. This is crucial for handling high-dimensional biomedical signals.

4. Hidden Markov Models (HMM)

HMMs are effective for modeling sequential data and are commonly applied in speech and biosignal processing. They can capture the temporal dynamics of biomedical signals, aiding in the understanding of physiological processes.

Applications and Case Studies

1. Epilepsy Detection

Researchers have developed deep learning models that analyze EEG signals to predict epileptic seizures minutes before they occur. These models can significantly improve the quality of life for epilepsy patients by providing timely warnings and interventions.

2. Cardiac Health Monitoring

Wearable devices equipped with machine learning algorithms can continuously monitor ECG and PPG signals to detect arrhythmias, heart attacks, and other cardiac conditions in real-time. These innovations enable early intervention and reduce the risk of severe cardiac events.

3. Sleep Apnea Diagnosis

Machine learning algorithms can analyze respiratory and oxygen saturation signals to diagnose sleep apnea. By automating the analysis of sleep studies, these models facilitate quicker and more accurate diagnoses, improving patient outcomes.

Future Prospects and Challenges

The integration of machine intelligence with biomedical signal analysis promises a future where diagnostics and treatment are more accurate, personalized, and proactive. However, several challenges remain:

Data Privacy and Security: Ensuring the confidentiality and integrity of sensitive biomedical data is paramount.

Interpretability: Developing models that not only provide accurate predictions but are also interpretable by clinicians is crucial for trust and adoption.

Integration with Clinical Workflows: Seamlessly incorporating AI tools into existing clinical workflows requires careful consideration of usability and interoperability.

Conclusion

The fusion of biomedical signal analysis with machine intelligence marks a paradigm shift in healthcare. By leveraging the capabilities of AI and machine learning, we can achieve unprecedented insights into human health, paving the way for innovations in diagnostics, treatment, and personalized medicine. As technology continues to advance, the potential for improved patient care and outcomes through intelligent analysis of biomedical signals becomes ever more promising.

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