A Wearable System for Home-Monitoring Parkinson's Disease

Parkinson’s Disease (PD) affects 7-10 million people worldwide. There is no cure – medication can only provide symptomatic relief – and costs associated with PD, including treatment, social security payments, and lost income from inabilty to work, is estimated to be nearly $25 billion per year in the United States alone.

We aim to lower costs by building a wearable system consisting of low-cost accelerometers to detect and quantitatively assess the severity of motor symptoms during daily living environments. In particular, we use a segment-based SVM mode to automatically detect Parkinson's tremor in accelerometer signals.