TY - GEN
T1 - Binocular Discoordination Kinetic Features
T2 - 2023 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2023
AU - Wang, Y.
AU - Moro-Velazquez, L.
AU - Favaro, A.
AU - Li, D.
AU - Oh, E. S.
AU - Butala, A.
AU - Villalba, J.
AU - Dehak, N.
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Eye tracking has emerged as a promising technology to assess neurodegenerative diseases (NDs). Although existing literature has extensively explored the potential of eye tracking, there remains a gap in studying binocular coordination. In our study, we present an approach aimed at evaluating Mild Cognitive Impairment (MCI), Alzheimer's Disease (AD), and Parkinson's Disease (PD) through the assessment of binocular discoordination. We compare these cohorts with a healthy control group (CTL), and a neurodegenerative control group we have categorized as Parkinson's Disease Mimics (PDM). Our findings indicate that the ND groups demonstrated noticeably poorer binocular coordination functionality than the CTL group, characterized by significantly less convergence to the stimulus during the tests and greater kinetic differences in terms of eye movement velocity and acceleration between the two eyes. By automatically assessing binocular discoordination, our study gains insights into the potential of new features as possible biomarkers to support the diagnosis and monitor the progression of NDs. This novel approach provides a new means for early detection and evaluation of NDs, which may lead to improved patient care and management strategies.
AB - Eye tracking has emerged as a promising technology to assess neurodegenerative diseases (NDs). Although existing literature has extensively explored the potential of eye tracking, there remains a gap in studying binocular coordination. In our study, we present an approach aimed at evaluating Mild Cognitive Impairment (MCI), Alzheimer's Disease (AD), and Parkinson's Disease (PD) through the assessment of binocular discoordination. We compare these cohorts with a healthy control group (CTL), and a neurodegenerative control group we have categorized as Parkinson's Disease Mimics (PDM). Our findings indicate that the ND groups demonstrated noticeably poorer binocular coordination functionality than the CTL group, characterized by significantly less convergence to the stimulus during the tests and greater kinetic differences in terms of eye movement velocity and acceleration between the two eyes. By automatically assessing binocular discoordination, our study gains insights into the potential of new features as possible biomarkers to support the diagnosis and monitor the progression of NDs. This novel approach provides a new means for early detection and evaluation of NDs, which may lead to improved patient care and management strategies.
KW - Neurodegenerative disease, Alzheimer's disease
KW - Parkinson's disease
KW - binocular coordination
KW - eye tracking
UR - http://www.scopus.com/inward/record.url?scp=85183457820&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85183457820&partnerID=8YFLogxK
U2 - 10.1109/SPMB59478.2023.10372760
DO - 10.1109/SPMB59478.2023.10372760
M3 - Conference contribution
AN - SCOPUS:85183457820
T3 - 2023 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2023 - Proceedings
BT - 2023 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2023 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 2 December 2023
ER -