Calendar

Week Monday Tuesday Wednesday Thursday Friday
1/16
First class meeting 4:00p - 5:50p 3002 ECEB
1/23
Second class meeting 4:00p - 5:50p 3002 ECEB
1/30
Third class meeting 4:00p - 5:50p 3002 ECEB
Project approval due 4:45p
Project page setup due
2/6
Fourth class meeting 4:00p - 5:50p 3002 ECEB
Proposals due 11:59p
2/13
Eagle assignment due 4:45p
2/20
Design Document Due due 11:59p
2/27
3/6
3/13
3/20
Spring Break
Spring Break
Spring Break
Spring Break
Spring Break
3/27
4/3
4/10
4/17
Mock demo During weekly TA mtg
Mock demo During weekly TA mtg
Mock demo During weekly TA mtg
Mock demo During weekly TA mtg
Mock demo During weekly TA mtg
4/24
5/1
Final papers due 11:59p
Lab Notebook Due due 3:30p - 5:00p 2070 ECEB
Lab checkout 3:30p - 5:00p 2070 ECEB
Award Ceremony and Pizza 5:00p - 6:00p 3002 ECEB

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