Inspiration
After reading a paper about the issues with the difference between ET and Parkinson's, group member Stephen Cropper decided that there needed to be a more reliable way of diagnosing these conditions. This app was the result of trying to figure out the optimal way of doing this. Parkinson's and ET both cause tremors in the muscles. While there are other unreliable methods of diagnosing these conditions, the most reliable technique is to analyze the frequency and amplitude of tremors. There are not currently clinically applied systems for making these diagnoses.
How it works
TremLess can be used through a Myo Band clinically or through an Android Phone at home. Each option works fundamentally the same. Patients hold their arms out at arms length, and have the app monitor their vibrations. The data collected provides diagnostic information for Parkinson's. Using the MyoBand in a clinical environment, doctor's give patients the band, and they use our desktop application to monitor vibrations. This precise data is used to make a diagnosis. In a home environment, patients can install the Tremless app onto their Android devices to collect information cheaply and easily. The data can provide preliminary diagnostic information and be given to doctors for further analysis.
Challenges I ran into
Our team ran into challenges using the new Myo Band software and hardware. We also had trouble working with Android Studio and Gyroscopes in Android.
Accomplishments that I'm proud of
We made Gyroscopes and Android Studio work, and we figured out the difficult Myo Band libraries.
What I learned
I learned how to use Gyroscopes, use Android Studio and do the math behind our wave analysis.
What's next for TremLess
Today, HackUC, tomorrow, the world!
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