Radio frequency identification--an innovative solution to guide dexterous prosthetic hands

Area of Science:

• Biomedical Engineering
• Rehabilitation Robotics
• Human-Computer Interaction

Background:

• Dexterous prosthetic hands demand high cognitive effort, limiting clinical adoption.
• Current prosthetic systems often have limited degrees of freedom, restricting functionality.
• Reducing cognitive load is crucial for enhancing user acceptance and usability of advanced prosthetics.

Purpose of the Study:

• To present the Myoelectrically-Operated Radio Frequency Identification (RFID) Prosthetic Hand (MORPH) system.
• To investigate the use of RFID technology to amplify controllable degrees of freedom in myoelectric prosthetics.
• To reduce the cognitive effort required for operating a multi-fingered prosthetic hand.

Main Methods:

• Integration of RFID technology with a myoelectric prosthetic hand.
• Utilizing contextual information from RFID tags on objects for automatic preshaping and control.
• A proof-of-concept case study with an amputee performing tasks from the Jebsen Hand Function Test and Smith Hand Function Evaluation.

Main Results:

• The MORPH system demonstrated significantly improved performance in 4 out of 8 tested tasks.
• Performance was comparable to the control group in the remaining tasks.
• The hybrid myoelectric-RFID approach shows promise in enhancing prosthetic hand functionality.

Conclusions:

• The MORPH system effectively reduces cognitive load associated with dexterous prosthetic hand control.
• RFID integration offers a viable method for increasing controllable degrees of freedom in prosthetic devices.
• This technology has the potential to improve the clinical acceptance and functional capabilities of prosthetic hands.