Accelerometry-Based Berg Balance Scale Score Estimation

• Published in: IEEE journal of biomedical and health informatics Vol. 18; no. 4; pp. 1114 - 1121
• Main Authors: Similä, Heidi, Mantyjarvi, Jani, Merilahti, Juho, Lindholm, Mikko, Ermes, Miikka
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.07.2014; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Acceleration; Accelerometers; Accelerometry - methods; Accidental Falls; Accuracy; Adult; Aged; Aged, 80 and over; Aging; Berg balance scale (BBS); Biomedical measurement; Estimation; fall-risk assessment; Gait - physiology; gait analysis; Humans; Informatics; Middle Aged; Risk Assessment; Signal Processing, Computer-Assisted; Young Adult
• ISSN: 2168-2194; 2168-2208; 2168-2208
• DOI: 10.1109/JBHI.2013.2288940

The objective of the study was to investigate the validity of 3-D-accelerometry-based Berg balance scale (BBS) score estimation. In particular, acceleration patterns of BBS tasks and gait were the targets of analysis. Accelerations of the lower back were measured during execution of the BBS test and corridor walking for 54 subjects, consisting of neurological patients, older adults, and healthy young persons. The BBS score was estimated from one to three BBS tasks and from gait-related data, separately, through assessment of the similarity of acceleration patterns between subjects. The work also validated both approaches' ability to classify subjects into high- and low-fall-risk groups. The gait-based method yielded the best BBS score estimates and the most accurate BBS-task-based estimates were produced with the stand to sit, reaching, and picking object tasks. The proposed gait-based method can identify subjects with high or low risk of falling with an accuracy of 77.8% and 96.6%, respectively, and the BBS-task based method with corresponding accuracy of 89.5% and 62.1%.