Automatic determination of parameters for multipad functional electrical stimulation: application to hand opening and...

Area of Science:

• Biomedical Engineering
• Rehabilitation Technology
• Neuroscience

Background:

• Transcutaneous functional electrical stimulation (FES) aids stroke and spinal cord injury rehabilitation.
• Precise electrode placement is crucial to avoid unintended muscle activation.
• Multipad FES systems with electrode arrays offer selective muscle activation.

Purpose of the Study:

• To develop and validate an algorithm for automated multipad FES parameter selection.
• To induce user-specified movements via selective muscle activation.
• To improve the precision and ease of FES application in rehabilitation.

Main Methods:

• An algorithm was developed to automatically determine active electrode subsets and stimulation currents.
• A portable multipad FES system and a virtual reality dataglove were utilized.
• The algorithm was tested with seven able-bodied subjects performing specified movements.

Main Results:

• The algorithm successfully induced movements with high accuracy.
• Median deviation from specified wrist angle was 0°–5°.
• Median deviation from specified finger flexion was 0%–12%.

Conclusions:

• The developed algorithm enables precise, automated control of multipad FES.
• This approach significantly improves FES application for rehabilitation by ensuring selective muscle activation.
• The system shows promise for enhancing motor recovery in patients with neurological injuries.