Validity of an Automated Balance Error Scoring System.

clinical biomechanics kinematics motion analysis motor behavior sports medicine

Journal

Journal of applied biomechanics
ISSN: 1543-2688
Titre abrégé: J Appl Biomech
Pays: United States
ID NLM: 9315240

Informations de publication

Date de publication:
01 02 2019
Historique:
entrez: 7 8 2018
pubmed: 7 8 2018
medline: 7 8 2018
Statut: ppublish

Résumé

The Balance Error Scoring System (BESS) is a human-scored, field-based balance test used in cases of suspected concussion. Recently developed instrumented alternatives to human scoring carry substantial advantages over traditional testing, but thus far report relatively abstract outcomes which may not be useful to clinicians or coaches. In contrast, the Automated Assessment of Postural Stability (AAPS) is a computerized system that tabulates error events in accordance with the original description of the BESS. This study compared AAPS and human-based BESS scores. Twenty-five healthy adults performed the modified BESS. Tests were scored twice each by human raters (3) and the computerized system. Interrater (between-human) and inter-method (AAPS vs. human) agreement (ICC

Identifiants

pubmed: 30080433
doi: 10.1123/jab.2018-0056
doi:

Types de publication

Journal Article

Langues

eng

Pagination

32–36

Auteurs

Stephen M Glass (SM)

1 Department of Physical Therapy, Temple University College of Public Health, Philadelphia, PA.

Alessandro Napoli (A)

2 Department of Electrical and Computer Engineering, Temple University College of Engineering, Philadelphia, PA.

Elizabeth D Thompson (ED)

1 Department of Physical Therapy, Temple University College of Public Health, Philadelphia, PA.

Iyad Obeid (I)

2 Department of Electrical and Computer Engineering, Temple University College of Engineering, Philadelphia, PA.

Carole A Tucker (CA)

1 Department of Physical Therapy, Temple University College of Public Health, Philadelphia, PA.
2 Department of Electrical and Computer Engineering, Temple University College of Engineering, Philadelphia, PA.

Classifications MeSH