Abstract
Existing rehabilitation treatment is experience base of experts, to do a lot of treatment and training. However, in this research, we implemented a rehabilitation support system based on movement and muscle activity data that can support efficient rehabilitation based on more objective data. Implemented system utilizes EMG, acceleration sensor and gyro sensor, it becomes a measurement, so it is possible to accumulate more objective data and plan a treatment when doing rehabilitation treatment. In order to evaluate the performance of the implemented system, we measured EMG data and movement data were measured assuming femoral muscle related rehabilitation exercise situations. As a result of the experiment, four situations classifications were possible and comparative evaluation with commercial systems also confirmed very similar results.
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References
Ellington A et al (2015) Behavioral intention to use a virtual instrumental activities of daily living system among people with stroke. Am J Occup Therapy 69(3):6903290030p1–6903290030p8
Liu L et al (2017) Development of an EMG-ACC-based upper limb rehabilitation training system. IEEE Trans Neural Syst Rehabil Eng 25(3):244–253
Cao W-J et al (2017) Study on a novel wearable exoskeleton hand function training system based on EMG triggering. In: Wearable Sensors and Robots. Springer, Singapore, pp 135–143
Acknowledgements
This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (No. 2015R1D1A1A01061131, No. 2016R1D1A1B03934866).
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Seo, JY., Noh, YH., Jeong, DU. (2019). Implementation of Rehabilitation Assistant System Based on Movement and Muscle Activity Information. In: Kim, K., Baek, N. (eds) Information Science and Applications 2018. ICISA 2018. Lecture Notes in Electrical Engineering, vol 514. Springer, Singapore. https://doi.org/10.1007/978-981-13-1056-0_4
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DOI: https://doi.org/10.1007/978-981-13-1056-0_4
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