Quantitative motor assessment in patients with mobility limiting conditions using wearable sensors
Shyamal Patel · 2012
The focus of this dissertation is on the application of wearable sensor technology for objective monitoring of motor symptoms in patients with mobility limiting conditions. Recent developments in the field of wearable sensors have enabled long-term health monitoring in a variety of patient populations. A large amount of raw sensor data is gathered in a typical long term monitoring scenario. Hence, it becomes extremely important to develop data analysis methods to extract clinically relevant information from raw sensor data and present it to clinicians in an easily readable format. The main aim of this work was to develop methods for extracting meaningful clinical information from accelerometer data recorded during the performance of motor activities. Three clinical applications were explored in this context.