WAAM: Wearable Assessment Arm Motion System

Abstract

The stroke patient needs to get an assessment for planning the recovery process, which is used to prepare an appropriate rehabilitation. Fugl-Meyer assessment is a popular protocol that covers all levels of physical conditions, but generally the protocol must be used by an expert for an accurate result. Furthermore, the assessment takes a long time period to be done. So, this research presents a novel assessment system, which called "Wearable Assessment Arm Motion: WAAM". The system has an aim to assist the therapist work and to reduce the assessment time. WAAM is designed as a device to measure the movement of a 7 DOF-link. Madgwick algorithm and vectorization are used severity to calculate the joint angle. The process of assessment based on Fugl-Meyer assessment for upper extremity in motor function. And the score classification is a logic-based. The result shows the error for the joint calculation as 2.45 degrees and the accuracy for score classification as 96 percentage.