@inproceedings{eed09981f35c477194a62f06ee92b4b1,
title = "BiGRA: A preliminary bilateral hand grip coordination rehabilitation using home-based evaluation system for stroke patients",
abstract = "Motor impairment is common following stroke. Diminished strength and coordination contribute to reduced ability to perform activities of daily living. The existing healthcare models focus on delivering rehabilitation during the first few months following stroke. Yet, to regain motor control to the greatest degree, rehabilitation should continue across the lifespan. Currently, individuals with stroke are responsible for self-managing their rehabilitation once therapist guided rehabilitation has concluded. Individuals with stroke are frequently given a written home exercise program to help guide their home rehabilitation, but poor compliance demonstrates a better approach is necessary. In this study, we propose BiGRA, a novel system to more effectively facilitate in-home bilateral rehabilitation. This system holds merits in: (1) An end-to-end task-oriented system for bilateral grip control which emphasizes the modulation of grip coordination between hands; and (2) Innovative metrics framework to quantitatively analyze the motor control performance. The evaluation shows that BiGRA can objectively measure the patients' task performance and is a promising assessment tool for stroke rehabilitation.",
author = "Tri Vu and Hoan Tran and Chen Song and Feng Lin and Jeanne Langan and Lora Cavuoto and Brown, \{Susan H.\} and Wenyao Xu",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 15th IEEE International Conference on Wearable and Implantable Body Sensor Networks, BSN 2018 ; Conference date: 04-03-2018 Through 07-03-2018",
year = "2018",
month = apr,
day = "2",
doi = "10.1109/BSN.2018.8329647",
language = "English",
series = "2018 IEEE 15th International Conference on Wearable and Implantable Body Sensor Networks, BSN 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "13--16",
booktitle = "2018 IEEE 15th International Conference on Wearable and Implantable Body Sensor Networks, BSN 2018",
address = "United States",
}