Muscle Spindle Model-Based Non-Invasive Electrical Stimulation for Motion Perception Feedback in Prosthetic Hands

Area of Science:

• Biomedical Engineering
• Neuroscience
• Rehabilitation Technology

Background:

• Prosthetic hands restore function for amputees but often lack sensory feedback, hindering natural hand use.
• The absence of proprioception in prosthetic users creates a significant gap in replicating natural hand experience.
• Restoring sensory feedback is crucial for improving the usability and integration of prosthetic limbs.

Purpose of the Study:

• To introduce a non-invasive electrical stimulation method for providing motion perception feedback in prosthetic hands.
• To model muscle spindles using transcutaneous electrical nerve stimulation (TENS) to generate artificial sensory signals.
• To investigate the potential of restoring proprioception for patients with hand amputations.

Main Methods:

• Developed an experimental framework using an electronic prosthetic hand, electrical stimulator, and surface electrodes.
• Employed transcutaneous electrical nerve stimulation (TENS) to deliver artificial sensory signals mimicking muscle spindle activity.
• Conducted experiments with five able-bodied individuals and three forearm amputees.

Main Results:

• Subjects could accurately discern the movement angle of the prosthetic hand.
• Biomimetic sensory feedback significantly improved the ability to identify prosthetic hand movement states compared to traditional intensity-based algorithms.
• The non-invasive electrical stimulation approach demonstrated potential in restoring sensory feedback for prosthetic users.

Conclusions:

• Non-invasive electrical stimulation, modeling muscle spindles, can provide effective motion perception feedback for prosthetic hands.
• This approach shows promise in bridging the proprioception gap for individuals with hand amputations.
• Biomimetic sensory encoding enhances the user's ability to perceive prosthetic hand movements, improving functional integration.