Non-invasive muscle-machine interface open source project: wearable hand myoelectrical orthosis (MES-FES)

Area of Science:

• Biomedical Engineering
• Rehabilitation Technology
• Neuroprosthetics

Background:

• Hand disabilities significantly impair daily activities and independence.
• Existing neuro-orthotic devices can be expensive and inaccessible.
• Need for customizable and affordable assistive technologies.

Purpose of the Study:

• To develop an open-source, low-cost, wearable hand myoelectrical orthosis (neuro-orthosis).
• To utilize functional electrical stimulation (FES) driven by myoelectrical signals (MES) for hand movement assistance.
• To enhance independence and daily activity performance for individuals with hand disabilities.

Main Methods:

• Designed and developed a forearm-wearable device using 3D additive manufacturing for customization.
• Integrated fixed electrodes for accurate user positioning.
• Implemented a stand-alone control system with Bluetooth for wireless parameter control.
• Conducted technical specifications, usability, and effectiveness testing.

Main Results:

• Successfully developed a functional MES-FES hand orthosis.
• The device demonstrated user customization through 3D printing.
• Wireless control via Bluetooth was achieved.
• Initial testing indicated usability and effectiveness in assisting hand movements.

Conclusions:

• The developed open-source neuro-orthosis offers an accessible and affordable solution for hand rehabilitation.
• The device empowers individuals with spinal cord lesions to regain functional hand movements.
• Contributes to advancements in non-invasive muscle-machine interfaces and assistive technologies.