Parkinson's disease (PD) is the second most prevalent neurodegenerative disease, with over 10 million individuals diagnosed with PD world-wide. The most common symptom characterized by PD is tremor. Tremor is an involuntary oscillatory motion that most prominently occurs in upper limb, specifically in the hand and wrist that has a measurable frequency and amplitude. This thesis aims to evaluate the usability and functionality of a tremor sensing device designed to collect quantitative data on individuals with PD. The designed device uses 23 commercially-available inertial measuring units (IMUs) located between 21 joints:​ distal interphalangeal (DIP) joints, proximal interphalangeal (PIP) joints, Interphalangeal (IP) joint, metacarpophalangeal (MCP) joints, carpometacarpal (CMC) joint, trapeziometacarpal (TMC) joint, radiocarpal joint, and the elbow joint. The IMU sensors include a 3 degree of freedom (DOF) accelerometer and a 3 DOF gyroscope activated during data collection. In specific, this thesis evaluates the device with trials on healthy participants by collecting data in the time and frequency domain during activities of daily living (ADL) over 48 hours in a home setting.

A total of 7 healthy participants were recruited to wear the device in a home setting over 2 days. The linear acceleration and angular velocity signals were captured, which were later used to analyze the data in the frequency domain, similar to if it were for tremor signals. If the voluntary motion signals in the time and frequency domain are close to the accepted values for voluntary motion, the battery life is sufficient, and data is collected effectively, the device functionality will be validated and can be used to capture tremor data.