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Proceedings Papers

Soft Physiology Sensors and Machine Learning to Enhance Spinal Cord Injury and Stroke Rehabilitation Outcomes in Home Settings

Tzu-Hao Huang, Jianfu Yang, Eljona Pushaj, Viktor Silvanov, Shuangyue Yu, Xiaolong Yang, Hao Su, Shuo-Hsiu Chang, Gerard Francisco
Proc. ASME. DMD2019, 2019 Design of Medical Devices Conference, V001T05A001, April 15–18, 2019
Publisher: American Society of Mechanical Engineers
Paper No: DMD2019-3267
https://doi.org/10.1115/DMD2019-3267
View Paper titled, Soft Physiology Sensors and Machine Learning to Enhance Spinal Cord Injury and Stroke Rehabilitation Outcomes in Home Settings
Open the PDF for Soft Physiology Sensors and Machine Learning to Enhance Spinal Cord Injury and Stroke Rehabilitation Outcomes in Home Settings in another window
Topics: Machine learning, Performance, Physiology, Sensors, Spinal cord, Wounds, Electromyography, Muscle, Algorithms, Textiles