TY - JOUR
T1 - Using EVestG Assessments for Detection of Symptomology Consequent to a Lateral-Impact Concussion
AU - Suleiman, Abdelbaset
AU - Lithgow, Brian
AU - Mansouri, Behzad
AU - Moussavi, Zahra
N1 - Funding Information:
Acknowledgements This study was supported by MITACS, Neural Diagnostics Canada Ltd. and Riverview Health Centre Foundation.
Publisher Copyright:
© 2018, Taiwanese Society of Biomedical Engineering.
PY - 2019/4/2
Y1 - 2019/4/2
N2 - This study was conducted to investigate plausible differences in vestibular response due to lateral-impact concussion using electrovestibulography (EVestG). EVestG signals are recorded non-invasively from the external ear in response to vestibular stimuli; the EVestG signal consists of peripheral vestibulo-acoustic signals and the brainstem’s response. In this study we investigated the relationship between characteristic features of the extracted field potentials (FPs) of EVestG signals in participants with lateral-impact concussion in comparison with those of healthy controls. Twelve lateral-impact concussed participants (5 right and 6 left lateral-impact) and 12 age-and-gender-matched healthy controls were tested by EVestG. Characteristic features were extracted from the FPs during side tilt, and a leave-one-out linear discriminant analysis (LDA) classification was applied to the extracted features. The results show a clear asymmetry on the impacted side between the left and right FPs after lateral-impact compared to those from healthy controls. The LDA classification resulted in a sensitivity of 67%, specificity of 92 and 79% overall accuracy for separating lateral-impact concussed participants from controls. EVestG appears to have diagnostic potential in diagnosing lateral-impact concussion.
AB - This study was conducted to investigate plausible differences in vestibular response due to lateral-impact concussion using electrovestibulography (EVestG). EVestG signals are recorded non-invasively from the external ear in response to vestibular stimuli; the EVestG signal consists of peripheral vestibulo-acoustic signals and the brainstem’s response. In this study we investigated the relationship between characteristic features of the extracted field potentials (FPs) of EVestG signals in participants with lateral-impact concussion in comparison with those of healthy controls. Twelve lateral-impact concussed participants (5 right and 6 left lateral-impact) and 12 age-and-gender-matched healthy controls were tested by EVestG. Characteristic features were extracted from the FPs during side tilt, and a leave-one-out linear discriminant analysis (LDA) classification was applied to the extracted features. The results show a clear asymmetry on the impacted side between the left and right FPs after lateral-impact compared to those from healthy controls. The LDA classification resulted in a sensitivity of 67%, specificity of 92 and 79% overall accuracy for separating lateral-impact concussed participants from controls. EVestG appears to have diagnostic potential in diagnosing lateral-impact concussion.
KW - Concussion
KW - Coup/contrecoup impact
KW - Electrovestibulography (EVestG)
KW - Lateral-impact
KW - Vestibular
UR - https://www.scopus.com/pages/publications/85054090729
U2 - 10.1007/s40846-018-0405-y
DO - 10.1007/s40846-018-0405-y
M3 - Article
AN - SCOPUS:85054090729
SN - 1609-0985
VL - 39
SP - 218
EP - 223
JO - Journal of Medical and Biological Engineering
JF - Journal of Medical and Biological Engineering
IS - 2
ER -