A NEW AUTO-SCORING ALGORITHM FOR BALANCE ASSESSMENT WITH WEARABLE IMU DEVICE BASED ON NONLINEAR MODEL

• Published in: Journal of mechanics in medicine and biology Vol. 20; no. 10; p. 2040011
• Main Authors: KIM, YEON WOOK, CHO, WOO HYEONG, JOA, KYUNG LIM, JUNG, HAN YOUNG, LEE, SANGMIN
• Format: Journal Article
• Language: English
• Published: Singapore World Scientific Publishing Company 01.12.2020; World Scientific Publishing Co. Pte., Ltd
• Subjects: Accuracy; Algorithms; Evaluation; Inertial platforms; Inertial sensing devices; Machine learning; Multilayers; Nonlinear analysis; Principal components analysis; Rehabilitation; Sensors; Support vector machines; Wearable technology; inertial measurement unit; Balance assessment; support vector machine; kernel principal component analysis

In this paper, a new auto-scoring algorithm that automatically evaluates the Berg balance scale (BBS) tasks is proposed. The BBS can be used as an indicator for patients to analyze their rehabilitation status by themselves. In the proposed method, the patient must use a wearable inertial measurement...