Breaking News
October 20, 2018 - Pounds Regained After Weight-Loss Op Can Tell Your Doc a Lot
October 20, 2018 - Sending parents letters to fight childhood obesity doesn’t work
October 20, 2018 - Supervised aerobic exercise can support major depression treatment
October 20, 2018 - Mindfulness-based program effective for reducing stress in infertile women
October 20, 2018 - Molecule capable of halting and reverting neurodegeneration caused by Parkinson’s disease identified
October 20, 2018 - Midazolam-mediated alterations of PER2 expression may have functional consequences during myocardial ischemia
October 20, 2018 - Sweat bees are ideal for studying the genes underlying social behavior
October 20, 2018 - Weight loss success associated with brain areas involved in self-control
October 20, 2018 - KHN’s ‘What the Health?’ Republicans’ preexisting political problem
October 20, 2018 - Research provides a more complete picture of suffering caused by terrorist attacks
October 20, 2018 - Eradicating Helicobacter pylori infections may be a key treatment for Parkinson’s disease
October 20, 2018 - Breast Cancer as a Dynamic Disease
October 20, 2018 - University of Pittsburgh wins NSF grant for big data research to prevent complications from anesthesia
October 20, 2018 - Skin-to-skin contact may promote attachment between parents and preterm infants
October 20, 2018 - Recommendations Developed to Verify NGT Placement in Children
October 20, 2018 - Weight loss can be boosted fivefold thanks to novel mental imagery technique
October 20, 2018 - Children with autism are more likely to be overweight, obese
October 20, 2018 - Nurses making conscientious objections to ethically-relevant policies lack support
October 20, 2018 - Prion strain diversity may be greater than previously thought
October 20, 2018 - Antidepressant treatment may lead to improvements in sleep quality of patients with depression
October 20, 2018 - Study reports increased risk of death in children with inflammatory bowel disease
October 20, 2018 - Number of Autism Genes Now Tops 100
October 20, 2018 - Total diet replacement programmes are effective for treating obesity
October 20, 2018 - CLARIOstar used for fluorescence measurements on CSIRO’s purpose-built research vessel
October 20, 2018 - People with more copies of AMY1 gene digest starchy carbohydrates faster
October 20, 2018 - Case Comprehensive Cancer Center wins NIH grant to study health disparities
October 20, 2018 - Newly discovered compound shows potential for treating Parkinson’s disease
October 20, 2018 - High rate of non-adherence to hormonal therapy found among premenopausal early breast cancer patients
October 20, 2018 - Immunotherapy medicine found to be effective in treating uveitis
October 20, 2018 - The Pistoia Alliance Calls for Greater Collaboration to Realise Benefits of Innovation and Announces Winners of the 2018 President’s Startup Challenge
October 20, 2018 - Female internists consistently earn less than men
October 20, 2018 - Stanford team looks at dangers of teens’ vaping habits
October 20, 2018 - New approach to understanding cancers will accelerate development of better treatments
October 20, 2018 - LJI and UC San Diego awarded $ 4.5 million as part of NCI’s Cancer Moonshot initiative
October 20, 2018 - School-based HPV vaccination did not increase risky sexual behaviors among adolescent girls
October 20, 2018 - Eye discovery to pave way for more successful corneal transplants
October 20, 2018 - New analysis examines the importance of location in the opioid crisis
October 20, 2018 - Green filters increase reading speed for children with dyslexia
October 19, 2018 - Bariatric Sx Cuts Macrovascular Complications in Obesity, T2DM
October 19, 2018 - Better assessments for early age-related macular degeneration
October 19, 2018 - Visible and valued: Stanford Medicine’s first-ever LGBTQ+ Forum | News Center
October 19, 2018 - Understanding of metal-free enzymes used by bacteria could lead to new effective antibiotics
October 19, 2018 - Beckman Coulter Life Sciences announces new research-focused website
October 19, 2018 - Study finds link between refined soluble fibers, gut microbiota and liver cancer
October 19, 2018 - Social media reduces risk of depression among seniors with pain
October 19, 2018 - Newly developed synthetic DNA molecule may one day be used as ‘vaccine’ for prostate cancer
October 19, 2018 - Preoperative weight loss may not provide health benefits after surgery
October 19, 2018 - U.S. Birth Rates Continue to Drop as Age of New Moms Rises
October 19, 2018 - New technology can keep an eye on babies’ movements in the womb
October 19, 2018 - Juul e-cigarettes pose addiction risk for young users | News Center
October 19, 2018 - Gene sequencing reveals crucial molecular aspects of Trypanosoma brucei
October 19, 2018 - New DNA vaccine strategy protects mice against lethal challenge by multiple H3N2 viruses
October 19, 2018 - Study shows close link between cytokine interleukin-1ß and obesity-promoted colon cancer
October 19, 2018 - Muscle mass plays a critical role in health, shows research
October 19, 2018 - Study finds undiagnosed prediabetes in many infertile men
October 19, 2018 - The Current issue of “The view from here” is concerned with Nanotherapeutic strategies
October 19, 2018 - Delay in replacing the Pap smear with HPV screening is costing lives
October 19, 2018 - Physicians battle pediatric diseases of ear, nose, throat in Zimbabwe | News Center
October 19, 2018 - Researchers investigate why some cancers affect only young women
October 19, 2018 - Drugmakers funnel millions to lawmakers; a few dozen get $100,000-plus
October 19, 2018 - Unselfish people tend to have more children and receive higher salaries
October 19, 2018 - New findings reveal potential cellular players in tumor microenvironment
October 19, 2018 - Study reveals impact of Juul use on teenagers and young adults
October 19, 2018 - Green leafy vegetables could help reduce macular degeneration risk
October 19, 2018 - Some countries take more time for reimbursement decisions on new cancer drugs
October 19, 2018 - Human brain cell transplant offers insights into neurological conditions
October 19, 2018 - Parental education associated with increased family health care spending
October 19, 2018 - New statistical method estimates long- and short-term risk of recurrence of breast cancer in US women
October 19, 2018 - Father’s exposure to nicotine may cause cognitive deficits in descendants
October 19, 2018 - Could we prevent Alzheimer’s disease by treating herpes?
October 19, 2018 - Nurse-led care can be more successful in managing gout
October 19, 2018 - Trump administration, pharma exchange verbal volleys on drug-price transparency
October 19, 2018 - Duke researchers find way to detect blood doping in athletes
October 19, 2018 - Many primary care doctors are still prescribing sedative drugs for older adults
October 19, 2018 - Finger length can predict sexuality in women say researchers
October 19, 2018 - Study finds differences in side-effects experienced by male and female OG cancer patients
October 19, 2018 - Dysfunction of single gene leads to miscarriages
October 19, 2018 - Few Seniors Who Self-Harm Referred for Mental Health Care
October 19, 2018 - Don’t sweat the sweet stuff
October 19, 2018 - URMC researchers discover new approach to deliver therapeutics to the brain
New technology could make prosthetic use more intuitive and reliable

New technology could make prosthetic use more intuitive and reliable

image_pdfDownload PDFimage_print

Researchers have developed new technology for decoding neuromuscular signals to control powered, prosthetic wrists and hands. The work relies on computer models that closely mimic the behavior of the natural structures in the forearm, wrist and hand. The technology could also be used to develop new computer interface devices for applications such as gaming and computer-aided design (CAD).

The technology has worked well in early testing but has not yet entered clinical trials – making it years away from commercial availability. The work was led by researchers in the joint biomedical engineering program at North Carolina State University and the University of North Carolina at Chapel Hill.

Current state-of-the-art prosthetics rely on machine learning to create a “pattern recognition” approach to prosthesis control. This approach requires users to “teach” the device to recognize specific patterns of muscle activity and translate them into commands – such as opening or closing a prosthetic hand.

“Pattern recognition control requires patients to go through a lengthy process of training their prosthesis,” says He (Helen) Huang, a professor in the joint biomedical engineering program at North Carolina State University and the University of North Carolina at Chapel Hill. “This process can be both tedious and time-consuming.

“We wanted to focus on what we already know about the human body,” says Huang, who is senior author of a paper on the work. “This is not only more intuitive for users, it is also more reliable and practical.

“That’s because every time you change your posture, your neuromuscular signals for generating the same hand/wrist motion change. So relying solely on machine learning means teaching the device to do the same thing multiple times; once for each different posture, once for when you are sweaty versus when you are not, and so on. Our approach bypasses most of that.”

Instead, the researchers developed a user-generic, musculoskeletal model. The researchers placed electromyography sensors on the forearms of six able-bodied volunteers, tracking exactly which neuromuscular signals were sent when they performed various actions with their wrists and hands. This data was then used to create the generic model, which translated those neuromuscular signals into commands that manipulate a powered prosthetic.

“When someone loses a hand, their brain is networked as if the hand is still there,” Huang says. “So, if someone wants to pick up a glass of water, the brain still sends those signals to the forearm. We use sensors to pick up those signals and then convey that data to a computer, where it is fed into a virtual musculoskeletal model. The model takes the place of the muscles, joints and bones, calculating the movements that would take place if the hand and wrist were still whole. It then conveys that data to the prosthetic wrist and hand, which perform the relevant movements in a coordinated way and in real time – more closely resembling fluid, natural motion.

“By incorporating our knowledge of the biological processes behind generating movement, we were able to produce a novel neural interface for prosthetics that is generic to multiple users, including an amputee in this study, and is reliable across different arm postures,” Huang says.

And the researchers think the potential applications are not limited to prosthetic devices.

“This could be used to develop computer-interface devices for able-bodied people as well,” Huang says. “Such as devices for gameplay or for manipulating objects in CAD programs.”

In preliminary testing, both able-bodied and amputee volunteers were able to use the model-controlled interface to perform all of the required hand and wrist motions – despite having very little training.

“We’re currently seeking volunteers who have transradial amputations to help us with further testing of the model to perform activities of daily living,” Huang says. “We want to get additional feedback from users before moving ahead with clinical trials.

“To be clear, we are still years away from having this become commercially available for clinical use,” Huang stresses. “And it is difficult to predict potential cost, since our work is focused on the software, and the bulk of cost for amputees would be in the hardware that actually runs the program. However, the model is compatible with available prosthetic devices.”

The researchers are also exploring the idea of incorporating machine learning into the generic musculoskeletal model.

“Our model makes prosthetic use more intuitive and reliable, but machine learning could allow users to gain more nuanced control by allowing the program to learn each person’s daily needs and preferences and better adapt to a specific user in the long term,” Huang says.

Source:

New Tech May Make Prosthetic Hands Easier for Patients to Use

About author

Related Articles