Start main content

Rehabilitation Sleeve - An FES-Robot Hybrid System

Rehabilitation Sleeve

A functional electrical stimulation (FES)-robot hybrid system for upper limb rehabilitation driven by voluntary intention

3_BME_17_0615_1

Rehabilitation Sleeve - An FES-Robot Hybrid System

An electromyography (EMG)-driven electromechanical robot system integrated with neuromuscular electrical stimulation (NMES) was developed for multi-joint upper limb rehabilitation after stroke. This hybrid system successfully combines the advantages of EMG-driven robot and NMES and can achieve much more prominent recovery than using either technology alone in pilot clinical trials. The training device is equipped with a novel bracing system with moisture and pressure management function to improve the wearing comfort, especially for long-term usage. The device can also render user’s motions into mouse commands. When coupled with various computer applications, it diversifies rehabilitation training programmes, making patients more interested in the process and thus yielding better results.

Special Features and Advantages

  • Faster recovery: FES-robot hybrid training system assists the elbow and wrist joints to move using motors. Meanwhile, it also enhances neuroplasticity recovery by inducing additional muscular practice at the elbow, wrist and hand/fingers through electrical stimulation.
  • Voluntary EMG-driven: The system driven by EMG signals of user effectively improves coordination of muscle movement
  • Comfortable: The bracing system manages the pressure and moisture levels of the skin to minimize any uncomfortable feelings caused.
  • Interesting training programme: The training system can act as a computer input device, enabling the combination of training tasks with computer games and applications.

Applications

  • The device provides a novel training method for paralyzed persons to improve their upper limb functions
  • The device can be used in hospitals, clinics, health centres and at home

Sign up to receive our e-publications.

We use Cookies to give you a better experience on our website. By continuing to browse the site without changing your privacy settings, you are consenting to our use of Cookies. For more information, please see our Privacy Policy Statement.

Your browser is not the latest version. If you continue to browse our website, Some pages may not function properly.

You are recommended to upgrade to a newer version or switch to a different browser. A list of the web browsers that we support can be found here