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Related Experiment Video

Updated: Apr 21, 2026

Computerized Dynamic Posturography for Postural Control Assessment in Patients with Intermittent Claudication

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Published on: December 11, 2013

Comparing Computer-Derived and Human-Observed Scores for the Balance Error Scoring System.

Jaclyn B Caccese¹, Thomas W Kaminski

¹Dept of Kinesiology and Applied Physiology, University of Delaware, Newark, DE.

Journal of Sport Rehabilitation

|November 4, 2014

Summary

A new computerized Balance Error Scoring System (BESS) shows high reliability for assessing athletic postural stability. This automated system offers a consistent and valid alternative for sideline concussion evaluations.

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Published on: April 12, 2016

Area of Science:

Sports Medicine
Biomechanics
Neurology

Background:

The Balance Error Scoring System (BESS) is standard for sideline concussion assessment.
Concerns exist regarding the BESS's objectivity and interrater/intrarater reliability for total scores.
Automated scoring via a computerized BESS aims to improve objectivity.

Purpose of the Study:

To compare computer-derived BESS scores with those from three trained human scorers.
To evaluate the reliability of a novel automated BESS system.

Main Methods:

Interrater reliability study involving NCAA Division I student athletes.
Subjects performed the BESS on a MobileMat BESS system, with scores recorded by software and three human examiners.
Interclass correlation coefficients (ICCs) were used to compare scoring agreement.

Main Results:

The computerized BESS demonstrated good agreement with human scorers for double-leg, single-leg, and tandem-firm stances (ICC = .999, .731, .648).
Fair agreement was observed for all foam stances.
The system showed consistent and reliable scoring across stances.

Conclusions:

The MobileMat BESS is suitable for accurately identifying errors across all six BESS protocol stances.
The computerized system provides a reliable and consistent method for scoring the BESS.
Clinicians can confidently use this automated system as an effective alternative for BESS scoring.