Myosleeve

Myosleeve is a project from the Research Centre for Biomedical Engineering at UPC (Barcelona)

Myosleeve

Myosleeve is a project from the Research Centre for Biomedical Engineering at UPC (Barcelona)
Institution: UPC
Research group: BIOsignal Analysis for Rehabilitation and Therapy Research Group (BIOART)
Principal investigator: Miguel Ángel Mañanas

The Problem

Epicondylitis is a common condition in the forearm muscles and tendons, which become damaged from over usage (repeating the same motions again and again), leading to tenderness and pain around the elbow and affecting the quality of life. It is estimated that 1% to 3% of the general population is affected, being a very common work-related injury. People who suffer the condition are prescribed long-term treatment plans that disrupt their everyday life. Moreover, clinicians and patients are unaware of neuromuscular activity during rehabilitation, despite being the cause of the problem.
Myosleeve is a wearable medical device for the motor rehabilitation of epicondylitis (tennis or golfer’s elbow). Based on High Density Surface Electromyography, this smart device not only records muscular activity, but also extracts neuromuscular data so that therapies can be personalised using machine learning, which is extremely useful for clinicians. In addition, it provides interactive feedback that keeps patients involved. As a result, the device allows for remote rehabilitation, ensures exercises are carried out correctly, and helps speed up treatment results.

The Solution

The Solution

Myosleeve is a wearable medical device for the motor rehabilitation of epicondylitis (tennis or golfer’s elbow). Based on High Density Surface Electromyography, this smart device not only records muscular activity, but also extracts neuromuscular data so that therapies can be personalised using machine learning, which is extremely useful for clinicians. In addition, it provides interactive feedback that keeps patients involved. As a result, the device allows for remote rehabilitation, ensures exercises are carried out correctly, and helps speed up treatment results.

Purpose

To provide personalised and effective forearm rehabilitation treatment based on reliable non-invasive internal muscle data and interactive feedback.
Time to market: 3 years
Looking for: Potential customers, rehabilitation/sport companies, investors or collaborators.
Technology: Artificial Intelligence
Area: Disease Management & Therapeutics
TRL: 4
Go to the Website

miguel.angel.mananas@upc.edu

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