Measuring activities of daily living of stroke patients using integrated upper limb measurement system and ADL measurement table
Albert Causo, Song Huat Yeo, I‐Ming Chen · DR-NTU (Nanyang Technological University) · 2013
To be able to automate some of the rehabilitation processes, it is necessary to be able to measure movement of stroke patients. This paper describes a complete system to measure the Activities of Daily Living (ADL) motions of healthy subjects and stroke patients. The system is composed of a customised table top, an Inertial Measurement Unit (IMU-based) to measure arm posture, and an Optical Linear Encoder (OLE)-based sensor to measure hand motion. The integrated system is designed to measure five ADL motions and save the data for further processing. The five ADLs measured are picking up a cup, zipping and unzipping a vest, picking up a phone, opening and closing a window, and wiping face with a towel. The system has been used to measure ADL motion data of fifteen healthy subjects and fifteen stroke patients.