CONTACT

chenchet@andrew.cmu.edu 

 

213-820-2362

  • White LinkedIn Icon
  • White Facebook Icon

MOTOFOOT

ThisWhen: Fall 2016 (2 Months)                          Where: University of Southern California                   Team Size: 4

 

Role: Designer & Programmer                                  Platform: FPGA Board & Monitor                                         

 

 

Description:

Drop foot is the result of damage to the common fibular nerve; affected individuals are susceptible to poor control of their dorsiflexor muscles. Thus, the forefront of the foot can unexpectedly drop, which presents a tripping hazard.

Our design, the MotoFoot, is of the latter variety, an active orthotic which applies a mechanical correction. The uniqueness of our orthotic is in its design, a method of mechanical correction, and data acquisition capability. We use a primary fabric-based body to increase patient comfort and decrease the weight and size of the orthotic. The mechanical correction is intended to be biomimetic, as the finished product will have a single pully for each tarsal. The pulleys are intended to mimic the behavior of a contracting and relaxing muscle: decreasing the line of the pulley emulates contraction while reverse rotation increases the line of the pulley and mimics a relaxing muscle. MotoFoot is also intended to collect data on the incidence of drop-foot, which will present physicians with enough data to track the progression of the patient's condition.

This program will work on Windows System with LabVIEW 2016. Three different sensors are required for the code to work. One Vernier X, Y, Z Accelerometer, one Vernier Goniometer, and a microswitch must be attached to the breadboards connected to the myRIO.