TY - GEN
T1 - Automated system for balance error scoring
AU - Dave, Paarth
AU - Obeid, Iyad
AU - Tucker, Carole
PY - 2014
Y1 - 2014
N2 - The Balance Error Scoring System (BESS) test is a commonly used tool for assessing static postural stability after concussion that quantifies compensatory arm, eye and trunk movements. However, since it is scored by clinician observation, it is potentially susceptible to biased and inaccurate test scores. It is further limited by the need for properly trained clinicians to simultaneously administer, score and interpret the test. Such personnel may not always be available when concussion testing is needed such as at amateur sporting events or in military field situations. In response, we are creating a system to automatically administer and score the BESS in field conditions. The system is based on the Microsoft Kinect, which is an inexpensive commodity motion capture system originally developed for gaming applications. The Kinect can be interfaced to a custom-programmed laptop computer in order to quantitatively measure patient posture compensations for preventing balance loss such as degree of hip abduction/flexion, heel lift, eye opening, and hand movement. By (a) removing the need for an adequately trained clinician, (b) improving accuracy, and (c) using rugged off-the-shelf system components, it will be possible to administer better, more accurate concussion assessments outside of standard clinical settings.
AB - The Balance Error Scoring System (BESS) test is a commonly used tool for assessing static postural stability after concussion that quantifies compensatory arm, eye and trunk movements. However, since it is scored by clinician observation, it is potentially susceptible to biased and inaccurate test scores. It is further limited by the need for properly trained clinicians to simultaneously administer, score and interpret the test. Such personnel may not always be available when concussion testing is needed such as at amateur sporting events or in military field situations. In response, we are creating a system to automatically administer and score the BESS in field conditions. The system is based on the Microsoft Kinect, which is an inexpensive commodity motion capture system originally developed for gaming applications. The Kinect can be interfaced to a custom-programmed laptop computer in order to quantitatively measure patient posture compensations for preventing balance loss such as degree of hip abduction/flexion, heel lift, eye opening, and hand movement. By (a) removing the need for an adequately trained clinician, (b) improving accuracy, and (c) using rugged off-the-shelf system components, it will be possible to administer better, more accurate concussion assessments outside of standard clinical settings.
KW - Automated
KW - BESS
KW - Concussion
KW - Kinect
KW - Traumatic brain injury
UR - http://www.scopus.com/inward/record.url?scp=84902355219&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84902355219&partnerID=8YFLogxK
U2 - 10.5220/0004951403290333
DO - 10.5220/0004951403290333
M3 - Conference contribution
AN - SCOPUS:84902355219
SN - 9789897580130
T3 - BIODEVICES 2014 - 7th Int. Conference on Biomedical Electronics and Devices, Proceedings; Part of 7th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2014
SP - 329
EP - 333
BT - BIODEVICES 2014 - 7th Int. Conference on Biomedical Electronics and Devices, Proceedings; Part of 7th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2014
PB - SciTePress
T2 - 7th International Conference on Biomedical Electronics and Devices, BIODEVICES 2014 - Part of 7th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2014
Y2 - 3 March 2014 through 6 March 2014
ER -