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NPJ Digital Medicine|October 7, 2020
Enabling precision rehabilitation interventions using wearable sensors and machine learning to track motor recoveryCatherine Adans-Dester, Nicolas Hankov, Anne O'Brien, et al.
IEEE Transactions on Bio-Medical Engineering|September 30, 2020
Predicting and Monitoring Upper-Limb Rehabilitation Outcomes Using Clinical and Wearable Sensor Data in Brain Injury SurvivorsSunghoon I Lee, Catherine P Adans-Dester, Anne T OBrien, et al.
IEEE Journal of Translational Engineering in Health and Medicine|May 26, 2018
Enabling Stroke Rehabilitation in Home and Community Settings: A Wearable Sensor-Based Approach for Upper-Limb Motor TrainingSunghoon I Lee, Catherine P Adans-Dester, Matteo Grimaldi, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 9, 2017
Recent machine learning advancements in sensor-based mobility analysis: Deep learning for Parkinson's disease assessmentBjoern M Eskofier, Sunghoon I Lee, Jean-Francois Daneault, et al.
Current Physical Medicine and Rehabilitation Reports|June 17, 2026
Topic: Evaluation and Treatment of Social Isolation and Loneliness: Evidence-based Recommendations for Stroke and Neurological RehabilitationJiali He, Sherri L LaVela, Charles H Bombardier, et al.
Methods of Information in Medicine|October 27, 2016
Unobtrusive and Continuous Monitoring of Alcohol-impaired Gait Using Smart ShoesEunjeong Park, Sunghoon I Lee, Hyo Suk Nam, et al.
Journal of Neuroengineering and Rehabilitation|July 20, 2017
Identifying predictors for postoperative clinical outcome in lumbar spinal stenosis patients using smart-shoe technologySunghoon I Lee, Andrew Campion, Alex Huang, et al.
JMIR Rehabilitation and Assistive Technologies|February 19, 2024
A Digital Intervention to Promote Self-Management Self-Efficacy Among Community-Dwelling Individuals With Stroke: Pilot Randomized Controlled TrialZhaoying Li, Yating Lei, Quoc Bui, et al.
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