Accelerometry-based berg balance scale score estimation

Heidi Similä, Jani Mäntyjärvi, Juho Merilahti, Mikko Lindholm, Miikka Ermes

Research output: Contribution to journalArticleScientificpeer-review

10 Citations (Scopus)

Abstract

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%.
Original languageEnglish
Pages (from-to)1114-1121
JournalIEEE Journal of Biomedical and Health Informatics
Volume18
Issue number4
DOIs
Publication statusPublished - 2014
MoE publication typeA1 Journal article-refereed

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Accelerometry
Gait
Accidental Falls
Walking
Young Adult

Keywords

  • Berg balance scale
  • fall-risk assessment
  • gait analysis
  • biomedical measurements
  • accelerometers

Cite this

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title = "Accelerometry-based berg balance scale score estimation",
abstract = "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{\%}.",
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Accelerometry-based berg balance scale score estimation. / Similä, Heidi; Mäntyjärvi, Jani; Merilahti, Juho; Lindholm, Mikko; Ermes, Miikka.

In: IEEE Journal of Biomedical and Health Informatics, Vol. 18, No. 4, 2014, p. 1114-1121.

Research output: Contribution to journalArticleScientificpeer-review

TY - JOUR

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AU - Similä, Heidi

AU - Mäntyjärvi, Jani

AU - Merilahti, Juho

AU - Lindholm, Mikko

AU - Ermes, Miikka

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AB - 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%.

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