Posts Tagged AI

[NEWS] SofBoost and Scott Verner Launch Rehab Tools Using Artificial Intelligence

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RehabBoost

SofBoost, an artificial intelligence (AI) body recognition technology company, launches RehabBoost in partnership with healthcare entrepreneur Scott Verner.

Together, Miami-based SofBoost and Verner will work to develop a comprehensive library of rehabilitation tools for medical application, using machine learning and artificial intelligence technology, according to a media release.

“We are thrilled to be able to have the opportunity to disrupt the healthcare and rehabilitation space, as an extension of our broader mission to transform the way movements are learned and practiced,” says SofBoost CEO, Paul Jaure, in the release.

“I’ve closely followed SofBoost’s demonstrated success in the machine learning space, and believe our collaboration will make an important contribution to the healthcare industry,” states Verner, also currently the President and CEO of TRIVIDIA Health, as well as the Chairman of The Job Creators Network Foundation.

“This project aligns with my personal mission to create new business models and strategies that transform the way patient needs are fulfilled, and I’m excited to see our vision come to life.”

SofBoost’s patent-pending technology compares user body positions with predetermined methodologies, drawing on proprietary algorithms to produce personalized corrective analysis in real time. This first-of-its-kind product will offer instant and personalized rehabilitation support from anywhere, through an easy-to-use app interface, the release continues.

RehabBoost marks the company’s first expansion to other categories, and is in line with its growth strategy. SofBoost is actively seeking strategic partnerships to expand into various swing sports, fitness and other line extensions, according to the company.

[Source(s): SofBoost, Business Wire]

 

via SofBoost and Scott Verner Launch Rehab Tools Using Artificial Intelligence – Rehab Managment

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[NEWS] Robotic Rehab Aims for the Home Market in Q3

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MotusNova

Motus Nova is expanding its list of partner hospitals and clinics using its FDA-approved robotic stroke therapy system. It also plans to introduce its system to the consumer market for home use in Q3 2019.

Twenty-five hospitals in the Atlanta area within Emory Healthcare, the Grady Health System, and the Wellstar Health System are now using the Motus Nova rehabilitation therapy system, which is designed to use Artificial Intelligence (AI) to accelerate recovery from neurological injuries such as strokes.

The system features a Hand Mentor and Foot Mentor, which are sleeve-like robots that fit over a stroke survivor’s impaired hand or foot. Equipped with an active-assist air muscle and a suite of sensors and accelerometers, they provide clinically appropriate assistance and resistance while individual’s perform the needed therapeutic exercises.

A touchscreen console provides goal-directed biofeedback through interactive games—which Motus Nova calls “theratainment”—that make the tedious process of neuro rehab engaging and fun.

“It’s a system that has proven to be a valuable partner to stroke therapy professionals, where it complements skilled clinical care by augmenting the repetitive rehabilitation requirements of stroke recovery and freeing the clinician to do more nuanced care and assessment,” says Nick Housley, director of clinical research for Atlanta-based Motus Nova, in a media release.

“And while we continue to fill orders for the system to support therapy in the clinic and hospital, we also are looking to use our system to fill the gap patients often experience in receiving the needed therapy once they go home.”

Clinical studies show that neuroplasticity begins after approximately many 10’s to 100’s of hours of active guided rehab. The healing process can take months or years, and sometimes the individuals might never fully recover. Yet the typical regimen for stroke survivors is only two to three hours of outpatient therapy per week for a period of three to four months.

“These constraints were instituted by the Centers for Medicare & Medicaid Services (CMS) in determining Medicare reimbursement without a full understanding of the appropriate dosing required for stroke recovery, and many private insurers have adopted the policy, as well,” states David Wu, Motus Nova’s CEO.

Motus Nova plans to offer a more practical model, the release continues.

“By making the system available for home use at a reasonable weekly rate as long as the patient needs it, the individual can perform therapy anytime,” Wu adds. “A higher dosage of therapy can be achieved without the inconvenience of scheduling appointments with therapists or traveling to and from a clinic, and without the high cost of going to an outpatient center every time the individual wants to do therapy.”

While the system gathers data about individual performance, AI tailors the regimen to maximize user gains, discover new approaches, minimize side effects and help the stroke survivor realize his or her full potential more quickly.

“By optimizing factors such as frequency, intensity, difficulty, encouragement, and motivation, the AI system builds a personalized medicine plan uniquely tailored to each individual user of the system,” Housley comments.

“Our system is durable, too, proven in clinical trials to deliver an engaging physical therapy experience over thousands of repetitions. We look forward to making it available on a much wider scale in the coming months.”

[Source(s): Motus Nova, PR Newswire]

 

via Robotic Rehab Aims for the Home Market in Q3 – Rehab Managment

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[WEB PAGE] Reconnecting the Disconnected: Restoring Movement in Paralyzed Limbs – Video

"Moving an arm can involve more than 50 different muscles," UA professor Andrew Fuglevand said. "Replicating how the brain naturally coordinates the activities of these muscles is extremely challenging."

“Moving an arm can involve more than 50 different muscles,” UA professor Andrew Fuglevand said. “Replicating how the brain naturally coordinates the activities of these muscles is extremely challenging.”

UA professor Andrew Fuglevand is using artificial intelligence to stimulate multiple muscles to elicit natural movement in ways previous methods have been unable to do.
Dec. 20, 2018
Andrew Fuglevand

Andrew Fuglevand

Scientists now know that the brain controls movement in people by signaling groups of neurons to tell the muscles when and where to move. Researchers also have learned it takes a complex orchestration of many signals to produce even seemingly simple body movements.

If any of these signals are blocked or broken, such as from a spinal cord injury or stroke, the messages from the brain to the muscles are unable to connect, causing paralysis. The person’s muscles are functional, but they no longer are being sent instructions.

Andrew Fuglevand, professor of physiology at the University of Arizona College of Medicine – Tucson and professor of neuroscience at the UA College of Science, has received a $1.2 million grant from the National Institutes of Health to study electrical stimulation of the muscles as a way to restore limb movements in paralyzed individuals. Fuglevand’s goal is to restore voluntary movement to a person’s own limbs rather than relying on external mechanical or robotic devices.

Producing a wide range of movements in paralyzed limbs has been unsuccessful so far because of the substantial challenges associated with identifying the patterns of muscle stimulation needed to elicit specified movements, Fuglevand explained.

“Moving a finger involves as many as 20 different muscles at a time. Moving an arm can involve more than 50 different muscles. They all work together in an intricate ‘dance’ to produce beautifully smooth movements,” he said. “Replicating how the brain naturally coordinates the activities of these muscles is extremely challenging.”

Recent advances in “machine learning,” or artificial intelligence, are making the impossible possible.

Fuglevand, who also is an affiliate professor of biomedical engineering and teaches neuroscience courses at the UA, is employing machine learning to mimic and replicate the patterns of brain activity that control groups of muscles. Tiny electrodes implanted in the muscles replay the artificially generated signals to produce complex movements.

“If successful, this approach would greatly expand the repertoire of motor behaviors available to paralyzed individuals,” he said.

“More than 5 million Americans are living with some form of paralysis, and the leading causes are stroke and spinal injury,” said Nicholas Delamere, head of the UA Department of Physiology. “New innovations in artificial intelligence, developed by scientists like Fuglevand and his team, are allowing them to decode subtle brain signals and make brain-machine interfaces that ultimately will help people move their limbs again.”

“The headway researchers have made in our understanding of artificial intelligence, machine learning and the brain is incredible,” said UA President Robert C. Robbins. “The opportunity to incorporate AI to brain-limb communication has life-changing potential, and while there are many challenges to optimize these interventions, we are really committed to making this step forward. I am incredibly excited to track Dr. Fuglevand’s progress with this new grant.”

Research reported in this release was supported by the National Institutes of Health, National Institute of Neurological Disorders and Stroke, under grant No. 1R01NS102259-01A1. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
A version of this article originally appeared on the UA Health Sciences website:https://opa.uahs.arizona.edu/newsroom/news/2018/reconnecting-disconnected-ua-physiology-professor-receives-12m-nih-grant-use-ai

 

via Reconnecting the Disconnected: Restoring Movement in Paralyzed Limbs | UANews

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[WEB SITE] Virtual reality games to help patients’ rehabilitation in UAE

The AI system is already in use in Ras Al Khaimah Physiotherapy and Sports Centre and will be rolled out soon in all ministry hospitals.

A therapist will always be present to monitor these sessions of patients.

Games developed specially for rehabilitation in physiotherapy for patients of stroke, cerebral palsy and similar conditions, will be used by the Ministry of Health and Prevention (Mohap) as it rolls out use of artificial intelligence (AI) and virtual reality (VR) in hospitals.

The AI system is already in use in Ras Al Khaimah Physiotherapy and Sports Centre and will be rolled out soon in all other ministry hospitals. “Games are developed for rehab of such patients, for both children and adults, especially those suffering from cerebral palsy and motor delay conditions,” Dr Yousif Mohammed Al Serkal, assistant undersecretary for the hospital sector, told Khaleej Times.

“The AI system is composed of three parts – a TV set, a sensory kinetic bar and an X-Box linked with these. Specific games are used to assess how cognitive a patient is,” he said.

A therapist will always be present to monitor these sessions of patients and will assess their conditions accordingly, he added.

He also explained the advantages of VR using AI in physiotherapy to provide treatment. “This will allow the patient to complete the treatment at his/her home with the possibility of remote rehabilitation,” he said.

“In the treatment of stroke, the virtual reality system evaluates and enhances the recovery of the affected upper parts, in addition to the training for the walking device used for rehabilitation.

“The patient moves at a speed on the motion platform with changing virtual environments being displayed on the front screen to simulate daily activities. In the treatment of the balance disorder, virtual reality is a safe and effective alternative to conventional therapy to improve the balance in patients,” he said. “Patients have reported that they enjoyed VR therapy without suffering from side effects, and with increased motivation.

“This technique is also used to treat children with developmental disorders, including positive developments in both perceived and performance capabilities in areas of daily activities including social activities that they have not been able to do before.”

The virtual therapy also assists cerebral palsy patients in the reorganisation of the brain and movement ability and visual cognitive skills, in addition to social participation and personal factors.

More about VR with AI

The UAE Strategy for Artificial Intelligence (AI) is a project within the Centennial Plan 2071. The plan will also include virtual reality (VR) rehabilitation in physiotherapy for stroke patients, patients suffering from balance disorder and children with development disorders, cerebral palsy and Parkinson’s syndrome.

VR rehabilitation technology makes use of virtual world simulation to meet various requirements for effective medical intervention to achieve the best results using the video game controller and the moving sensor. Scientific studies have proven the effectiveness of this innovative technique in the rehabilitation and treatment of many such cases.

KT NANO EDIT

AI boost to healthcare

Healthcare industry stands to gain significantly by inducting artificial intelligence into various processes. The technology can take the fear out of procedures and make treatments more effective. The UAE has been experimenting on this front and results are encouraging so far. Innovation through AI is becoming more meaningful with its human-centric approach, and the medical experts are now looking at expanding its scope.

asmaalizain@khaleejtimes.com

 

via Virtual reality games to help patients’ rehabilitation in UAE – Khaleej Times

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[WEB SITE] Robotic Arm and Tic-Tac-Toe Get a Grip On Stroke Rehab

RobotArm725

 

A recent study from Israel’s Ben-Gurion University suggests that a combination of robotics and artificial intelligence (AI) could be an effective and particularly novel form of rehabilitation for stroke patients.

Following a stroke, patients are usually advised to do limb exercises that replicate daily tasks, such as drinking from a cup, in order to regain physical competence.

Applying game play to activities of daily living can also be useful for helping patients to perform a particular task without having to focus too hard on it.

With this in mind, in this study the Ben-Gurion researchers decided to combine concepts and have patients play a game of tic-tac-toe—which required them to grip and place cups on square shelves—with a robotic opponent, according to a news story from Healthcare Analytics News.

Per the news story, the patient stood on one side of a grid of open square shelves, placing colored plastic to claim spaces on the board. The other player was a specially developed algorithm designed to adapt to the player’s moves. It could play either as a series of lights fixed to the shelves that would light up to claim their spaces, or as a physical robotic arm that would also place cups on the “board.”

The study, published recently in Restorative Neurology and Neuroscience, included 62 healthy individuals—all right-handed—who were either younger than 30 or older than 60. At first, both groups overwhelmingly preferred playing against the robotic arm because they enjoyed the novelty. When asked to play two more games, they preferred to play against the robot. But given the option to play 10 more games against either the arm or the light system, the younger group wanted to play against the lights, while the older group still preferred playing against the robotic arm.

“Some of the young adults complained that the robot moved too slowly; therefore, they preferred the quicker system when asked to play many more games,” researcher Shelly Levy-Tzedek, head of the Cognition, Aging, and Rehabilitation Lab in Ben-Gurion University’s Department of Physical Therapy, says in the news story. “That indicates a need to personalize the speed of the robot to each participant.”

“I think of it as a robotic revolution in rehabilitation,” Levy-Tzedek adds. “The goal is to have a rehabilitation protocol that includes the robot as a partner and as a coach so that people can do their exercises at home.”

[Source: Healthcare Analytics News]

 

via Robotic Arm and Tic-Tac-Toe Get a Grip On Stroke Rehab – Rehab Managment

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[WEB SITE] A wearable using AI to identify severe seizures and warn caregivers gains FDA approval

Embrace by Empatica is a smart watch for epilepsy management to identify convulsive seizures and send alerts to caregivers.

Empatica, a Massachusetts Institute of Technology spinoff, received FDA clearance for a wristworn device that uses machine learning to alert people with epilepsy and their caregivers of a convulsive seizure and track their duration and frequency.

Epilepsy affects a least 2.2 million people, according to data from the Epilepsy Foundation.

Empatica’s Emrace device assesses multiple indicators of a seizure, including electrodermal activity, a signal associated with fight or flight response that’s used by stress researchers to quantify physiological changes related to sympathetic nervous system activity, the company statement noted.

In a clinical trial of the device, 135 patients across multiple sites resided at epilepsy monitoring units with continuous monitoring with video-EEG and simultaneously wore an Empatica device. Data collected over 272 days showed that the wearable’s algorithm detected 100 percent of the seizures, according to the company’s statement.

In addition to seizures, the device also tracks sleep and physical activity, according to the company’s website.

The company’s FDA clearance comes nearly one year since its device received regulatory approval in Europe.

Rosalind Picard, the Director of the Affective Computing Group at MIT Media Lab and Chief Scientist at Empatica said in a company statement that “it’s been very meaningful to see this technology move from the lab” into an easy-to-use sensor.

Other companies have developed seizure detection systems, particularly with the goal of sharing the collected data with clinicians so they have a better understanding of their patients’ health between appointments. SmartMonitor developed a smartwatch that detects “irregular shaking” akin to a convulsive seizure. Last month it rolled out a version of its technology in an app for the Apple smartwatch.

Two years ago THREAD Research developed a smartwatch application for tracking epileptic seizures for ResearchKit with Johns Hopkins University.

The holy grail for people who suffer from seizures would be a device that could warn them ahead of time so that people could avoid potentially putting themselves in harm’s way or take other appropriate action. That’s a longterm goal for Empatica.

Photo: Empatica

via A wearable using AI to identify severe seizures and warn caregivers gains FDA approval – MedCity News

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