Continuing your Project

Description

Groups that wish to continue their projects are encouraged to sign up for Undergraduate Independent Study: ECE 396, ECE 397, ECE 497, or ECE 499.

Funds of up to $500 are available in order to defray project expenses. These funds have been generously provided by the ECE Alumni Fund and may be used for materials and supplies, equipment, computer software, etc. Funds may not be used for salaries or wages. Purchases may be made through the ECE Business Office, ECE Stores or reimbursement of personal funds with proper documentation. More information will be provided upon approval.

Please see the Undergraduate Independent Study Funding page for more details.

The Leung Fund provides another avenue for obtaining funding to continue a project conceived of in ECE 445. Prior projects have also continued through various programs in the College of Engineering's Technology Entrepreneur Center programs, including the Cozad New Venture Competition.

Low Cost Myoelectric Prosthetic Hand

Michael Fatina, Jonathan Pan-Doh, Edward Wu

Low Cost Myoelectric Prosthetic Hand

Featured Project

According to the WHO, 80% of amputees are in developing nations, and less than 3% of that 80% have access to rehabilitative care. In a study by Heidi Witteveen, “the lack of sensory feedback was indicated as one of the major factors of prosthesis abandonment.” A low cost myoelectric prosthetic hand interfaced with a sensory substitution system returns functionality, increases the availability to amputees, and provides users with sensory feedback.

We will work with Aadeel Akhtar to develop a new iteration of his open source, low cost, myoelectric prosthetic hand. The current revision uses eight EMG channels, with sensors placed on the residual limb. A microcontroller communicates with an ADC, runs a classifier to determine the user’s type of grip, and controls motors in the hand achieving desired grips at predetermined velocities.

As requested by Aadeel, the socket and hand will operate independently using separate microcontrollers and interface with each other, providing modularity and customizability. The microcontroller in the socket will interface with the ADC and run the grip classifier, which will be expanded so finger velocities correspond to the amplitude of the user’s muscle activity. The hand microcontroller controls the motors and receives grip and velocity commands. Contact reflexes will be added via pressure sensors in fingertips, adjusting grip strength and velocity. The hand microcontroller will interface with existing sensory substitution systems using the pressure sensors. A PCB with a custom motor controller will fit inside the palm of the hand, and interface with the hand microcontroller.

Project Videos