Lee, Sunghoon Ivan
University of Massachusetts Amherst
7 papers on CoChatORCID 0000-0001-5935-125X
Most cited papers
- Verified
Recent machine learning advancements in sensor-based mobility analysis: Deep learning for Parkinson's disease assessment
Eskofier, B. M., Lee, S. I., Daneault, J.-F., Golabchi, F. N., Ferreira-Carvalho, G., Vergara-Diaz, G., Sapienza, S., Costante, G., Klucken, J., Kautz, T., et al. (2016) · 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Context-Aware Activity Recognition SystemsArtificial Intelligence in Healthcare
Cited by 180
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Enabling precision rehabilitation interventions using wearable sensors and machine learning to track motor recovery
Adans-Dester, C., Hankov, N., O’Brien, A., Vergara-Diaz, G., Black-Schaffer, R., Zafonte, R., Dy, J., Lee, S. I., & Bonato, P. (2020) · npj Digital Medicine
Stroke Rehabilitation and RecoveryContext-Aware Activity Recognition Systems
Cited by 130
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Enabling stroke rehabilitation in home and community settings: a wearable sensor-based approach for upper-limb motor training
Lee, S. I., Adans-Dester, C. P., Grimaldi, M., Dowling, A. V., Horak, P. C., Black-Schaffer, R. M., Bonato, P., & Gwin, J. T. (2018) · IEEE Journal of Translational Engineering in Health and Medicine
Stroke Rehabilitation and RecoveryContext-Aware Activity Recognition Systems
Cited by 119
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Estimating upper-limb impairment level in stroke survivors using wearable inertial sensors and a minimally-burdensome motor task
Oubre, B., Daneault, J.-F., Jung, H.-T., Whritenour, K., Miranda, J. G. V., Park, J., Ryu, T., Kim, Y., & Lee, S. I. (2020) · IEEE Transactions on Neural Systems and Rehabilitation Engineering
Stroke Rehabilitation and RecoveryContext-Aware Activity Recognition Systems
Cited by 78
- Verified
Objectively quantifying walking ability in degenerative spinal disorder patients using sensor equipped smart shoes
Lee, S. I., Park, E., Huang, A., Mortazavi, B., Hayward Garst, J., Jahanforouz, N., Espinal, M., Siero, T., Pollack, S., Afridi, M., et al. (2016) · Medical Engineering & Physics
Spine and Intervertebral Disc PathologyMusculoskeletal pain and rehabilitation
Cited by 41
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The use of a finger-worn accelerometer for monitoring of hand use in ambulatory settings
Liu, X., Rajan, S., Ramasarma, N., Bonato, P., & Lee, S. I. (2019) · IEEE Journal of Biomedical and Health Informatics
Context-Aware Activity Recognition SystemsStroke Rehabilitation and Recovery
Cited by 39
- Verified
Activity detection in uncontrolled free-living conditions using a single accelerometer
Lee, S. I., Ozsecen, M. Y., Della Toffola, L., Daneault, J.-F., Puiatti, A., Patel, S., & Bonato, P. (2015) · 2015 IEEE 12th International Conference on Wearable and Implantable Body Sensor Networks (BSN)
Context-Aware Activity Recognition SystemsPhysical Activity and Health
Cited by 9
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