1. A Look at Biofeedback and Interpretation of Muscle Movement

2.  Physical therapy can be a generally
repetitive, strenuous process that may not
result in short term improvement1
 To increase patient retention, we aim to
increase engagement with the subject
 Implementation of biofeedback in the form of
games could address this issue

3. Signal Sleeve
EZ430-
EZ430- RF250 with
ADS1298
RF250 TUSB410
Computer
User Feedback
Java
Video Game
Analysis

4.  We are in the process of teaching our neural
net to recognize a wide variety of exercises
 Using the Waikato Environment for Knowledge
Analysis (WEKA) v.3.6.8
 Preliminary N = 10 testing has yielded
approximately 100 data sets for this purpose

5.  Two forms of biofeedback are under
consideration
 Basic Biofeedback
 Game-based Biofeedback
 Basic shows which muscles are activated
 Game-based requires that an exercise be
performed correctly to achieve victory

6.  Videogames have been shown to be highly
engaging and will hopefully lead to increased
willingness or even eagerness to continue the
exercises2
 Add a tangible goal to the day-t0-day process
of exercising: victory/high scores

7.  The games must be very simple to
accommodate what is essentially a 1-button
input
 Games cannot be reflex-based or fast-
paced, as this would discourage accuracy
 End user ease-of-use is a priority
concern, making intuitive interface design
paramount

8.  Re-contextualized Pong:
 Opponent will always play
perfectly
 Perform the exercise correctly
to play perfectly as well
 Perform correctly for long
enough to win
 Not reflex-based

9.  Physical therapy could be improved using
video game biofeedback and EMG if the two
worked harmoniously in a device simple
enough for patient in-home use
 Team ADEPT is designing and producing this
device and the companion biofeedback suite
 We project that we will begin testing on
human subjects within a month

10.  1. E. Sluijs, G. Kok, J. van der Zee, “Correlates of exercise compliance in physical
therapy,” Physical Therapy, vol. 73, no.11, 1993, pp. 771-782.
 2. C.E. Stepp, D. Britton, C. Chang, A.L. Merati, Y. Matsuoka, “Feasibility of game-
based electromyographic biofeedback for dysphagia rehabilitation,” 5th
International Conference on IEEE/EMBS Conference on Neural
Engineering, pp.233-236, June 2011

11.  Our mentor, Dr. Pamela Abshire
 University of MD, College Park
 Gemstone Program
 Honors College
 Texas Instruments