Patient-tailored classification for a NIRS triggered hand rehabilitation robot

Shunki Takemura; Joungseung Lee; Nobutaka Mukae; Kazuo Kiguchi; Koji Iihara; Makoto Hashizume; Jumpei Arata

doi:10.1109/CBS.2018.8612169

Patient-tailored classification for a NIRS triggered hand rehabilitation robot

Shunki Takemura, Joungseung Lee, Nobutaka Mukae, Kazuo Kiguchi, Koji Iihara, Makoto Hashizume, Jumpei Arata

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

Abstract

Robotic neurorehabilitation that provides the support movement for the affected limb triggered by brain signal has a great potential to improve the recovery for post-stroke patients. We are studying a hand rehabilitation robotic system that a robotic hand orthosis is moved triggered by Near-Infrared Spectroscopy. In this paper, we propose a new method to classify the motion intention out of the NIRS signal. The classification accuracy that is an essential factor to extract the users' motion intension, was significantly improved by parameterizing the individual hemodynamic response.

Original language	English
Title of host publication	2018 IEEE International Conference on Cyborg and Bionic Systems, CBS 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	632-636
Number of pages	5
ISBN (Electronic)	9781538673553
DOIs	https://doi.org/10.1109/CBS.2018.8612169
Publication status	Published - Jul 2 2018
Event	2018 IEEE International Conference on Cyborg and Bionic Systems, CBS 2018 - Shenzhen, China Duration: Oct 25 2018 → Oct 27 2018

Publication series

Name	2018 IEEE International Conference on Cyborg and Bionic Systems, CBS 2018

Conference

Conference	2018 IEEE International Conference on Cyborg and Bionic Systems, CBS 2018
Country/Territory	China
City	Shenzhen
Period	10/25/18 → 10/27/18

All Science Journal Classification (ASJC) codes

Artificial Intelligence
Control and Optimization

Access to Document

10.1109/CBS.2018.8612169

Cite this

Takemura, S., Lee, J., Mukae, N., Kiguchi, K., Iihara, K., Hashizume, M., & Arata, J. (2018). Patient-tailored classification for a NIRS triggered hand rehabilitation robot. In 2018 IEEE International Conference on Cyborg and Bionic Systems, CBS 2018 (pp. 632-636). Article 8612169 (2018 IEEE International Conference on Cyborg and Bionic Systems, CBS 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CBS.2018.8612169

Patient-tailored classification for a NIRS triggered hand rehabilitation robot. / Takemura, Shunki; Lee, Joungseung; Mukae, Nobutaka et al.
2018 IEEE International Conference on Cyborg and Bionic Systems, CBS 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 632-636 8612169 (2018 IEEE International Conference on Cyborg and Bionic Systems, CBS 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Takemura, S, Lee, J, Mukae, N, Kiguchi, K, Iihara, K, Hashizume, M & Arata, J 2018, Patient-tailored classification for a NIRS triggered hand rehabilitation robot. in 2018 IEEE International Conference on Cyborg and Bionic Systems, CBS 2018., 8612169, 2018 IEEE International Conference on Cyborg and Bionic Systems, CBS 2018, Institute of Electrical and Electronics Engineers Inc., pp. 632-636, 2018 IEEE International Conference on Cyborg and Bionic Systems, CBS 2018, Shenzhen, China, 10/25/18. https://doi.org/10.1109/CBS.2018.8612169

Takemura S, Lee J, Mukae N, Kiguchi K, Iihara K, Hashizume M et al. Patient-tailored classification for a NIRS triggered hand rehabilitation robot. In 2018 IEEE International Conference on Cyborg and Bionic Systems, CBS 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 632-636. 8612169. (2018 IEEE International Conference on Cyborg and Bionic Systems, CBS 2018). doi: 10.1109/CBS.2018.8612169

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Patient-tailored classification for a NIRS triggered hand rehabilitation robot

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