TY - GEN
T1 - Continuous parkinsonian tremor estimation using motion data
AU - Hssayeni, Murtadha D.
AU - Jimenez-Shahed, Joohi
AU - Burack, Michelle A.
AU - Ghoraani, Behnaz
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/11
Y1 - 2019/11
N2 - Tremor is one of the main symptoms of Parkinson's Disease (PD) that reduces the quality of life of affected patients. Tremor is measured as part of the Unified Parkinson Disease Rating Scale (UPDRS) part III. However, the assessment is based on onsite physical examinations and do not necessarily represent the patients' tremor experience in their day-to-day life. In this work, we developed two methods based on deep long short-term memory (LSTM) networks and gradient tree boosting to estimate Parkinsonian tremor using gyroscope sensor signals collected as the patients performed a variety of free body movements. The developed methods were assessed on data from 24 PD subjects. Subject-based, leave-one-out cross-validation demonstrated that the method based on gradient tree boosting provided a high correlation (r=0.93 (p<0.0001) between the estimated and clinically-assessed tremor subscores in comparison to the LSTM-based method with (r=0.77 (p<0.0001).
AB - Tremor is one of the main symptoms of Parkinson's Disease (PD) that reduces the quality of life of affected patients. Tremor is measured as part of the Unified Parkinson Disease Rating Scale (UPDRS) part III. However, the assessment is based on onsite physical examinations and do not necessarily represent the patients' tremor experience in their day-to-day life. In this work, we developed two methods based on deep long short-term memory (LSTM) networks and gradient tree boosting to estimate Parkinsonian tremor using gyroscope sensor signals collected as the patients performed a variety of free body movements. The developed methods were assessed on data from 24 PD subjects. Subject-based, leave-one-out cross-validation demonstrated that the method based on gradient tree boosting provided a high correlation (r=0.93 (p<0.0001) between the estimated and clinically-assessed tremor subscores in comparison to the LSTM-based method with (r=0.77 (p<0.0001).
UR - http://www.scopus.com/inward/record.url?scp=85079275871&partnerID=8YFLogxK
U2 - 10.1109/GlobalSIP45357.2019.8969093
DO - 10.1109/GlobalSIP45357.2019.8969093
M3 - Conference contribution
AN - SCOPUS:85079275871
T3 - GlobalSIP 2019 - 7th IEEE Global Conference on Signal and Information Processing, Proceedings
BT - GlobalSIP 2019 - 7th IEEE Global Conference on Signal and Information Processing, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th IEEE Global Conference on Signal and Information Processing, GlobalSIP 2019
Y2 - 11 November 2019 through 14 November 2019
ER -