Measuring activities of daily living of stroke patients using integrated upper limb measurement system and ADL measurement table

• Main Authors: Causo, Albert, Yeo, Song Huat, Chen, I-Ming
• Other Authors: School of Mechanical and Aerospace Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2014
• Subjects: DRNTU::Engineering::Mechanical engineering::Surgical assistive technology
• Online Access: https://hdl.handle.net/10356/104183; http://hdl.handle.net/10220/20454; http://dl.acm.org/citation.cfm?id=2567459&dl=ACM&coll=DL
• Institution: Nanyang Technological University

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.