2. Research Question
Could physical therapy be improved through use of a
wireless, easy-to-use EMG band integrated into a video
game-based biofeedback system?
4. Research Project
Create a small easy to use arm band for
collection of low noise high resolution EMG
data from the forearm.
5. Feedback Loop
Signal Sleeve
EZ430-
EZ430- RF250 with
ADS1298
RF250 TUSB410
Computer
User Feedback
Java
Data Strage
Analysis
6. Parts Justification
ADS1298 – low power, low noise, 8-channel EMG
specific data collection IC
Atmega644- data compression and pre-
processing, and control of the ADS
EZ430-RF2500, small easy to use
MSP430, transceiver interface
CC2500, low power 2.4GHz transceiver
7. Final Design Goals
Create a design which is applicable outside of our
project
Physical Therapy
EMG Research
12. Compression and Filtering
Deals with a window of 20 data points
Where µ is the average of the 20 x values that we are
looking at
Performs compression that is sensitive to number of
impulses in the sample
Performs quick high pass filtering below ~10Hz
13. Noise Reduction
Current
Grounding electrode
Careful skin preparation
High Pass Filtering, eliminate motion artifact
Future
Grounding electrode
High Pass Filtering, eliminate motion artifact
Battery powered
Splitting analog and digital power and ground planes
14. Board Design
4-layer board
Separated digital and
analog power and
ground planes
About creditcard sized
Pictured is the first
design with built in test
points
15. Thanks to…
Our mentor, Dr. Pamela Abshire
The Gemstone staff
Texas Instruments
Editor's Notes
(Possibly replace picture with picture of iPod holder?) Our project looks to improve on traditional physical therapy by using EMG technology to create a more engaging patient experience. The sleeve will have embedded electrodes which can detect muscle activity; this data will be sent wirelessly to a computer and used as input to a video game.
Here’s an overview of how data will be handled in our system. The user generates a signal which is picked up by the electrodes and wirelessly sent to the computer. The computer will analyze the data in MATLAB and react appropriately in the game.
Here we go over what we want out of our final product and a rough timeline of the work ahead.
Here we talk about our near-term goals for testing. How will we be collecting data with our current device? What relevance will this data have?
Here’s a video showing our product thus far. As you can see, this is a basic prototype in which the device is in a box and everything is still wired. The feedback is still very basic as well.(CURRENT PROGRESS SECTION SHOULD BE QUICK. SPEND MORE TIME ON END GOAL)
As you can see, we have been able to effectively filter out noise and find the relevant signal.
It also said to have a conclusion (separate from the advice slide). Anything we really need to put in here?
