title: Automated assessment of postural stability system.
abstract: The Balance Error Scoring System (BESS) is one of the most commonly used clinical tests to evaluate static postural stability deficits resulting from traumatic brain events and musculoskeletal injury. This test requires a trained operator to visually assess balance and give the subject a performance score based on the number of balance "errors" they committed. Despite being regularly used in several real-world situations, the BESS test is scored by clinician observation and is therefore (a) potentially susceptible to biased and inaccurate test scores and (b) cannot be administered in the absence of a trained provider. The purpose of this research is to develop, calibrate and field test a computerized version of the BESS test using low-cost commodity motion tracking technology. This `Automated Assessment of Postural Stability' (AAPS) system will quantify balance control in field conditions. This research goal is to overcome the main limitations of both the commercially available motion capture systems and the standard BESS test. The AAPS system has been designed to be operated by a minimally trained user and it requires little set-up time with no sensor calibration necessary. These features make the proposed automated system a valuable balance assessment tool to be utilized in the field.
authors.forename: Alessandro
authors.initials: A
authors.lastname: Napoli
authors.forename: Christian R
authors.initials: CR
authors.lastname: Ward
authors.forename: Stephen M
authors.initials: SM
authors.lastname: Glass
authors.forename: Carole
authors.initials: C
authors.lastname: Tucker
authors.forename: Iyad
authors.initials: I
authors.lastname: Obeid
mesh_terms: D001331:Automation / Q000379:methods*; D006801:Humans; D008991:Monitoring, Physiologic / Q000379:methods*; D009068:Movement / Q000502:physiology*; D004856:Postural Balance / Q000502:physiology*