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Rehabilitation Training for Leg Based on EEG-EMG Fusion

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Book cover Intelligent Robotics and Applications (ICIRA 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10462))

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Abstract

Stroke is a kind of cerebral vascular disease with high death rate and high disability rate, most stroke patients lose a lot of physiological function. For example, motor function, language function, etc. Two data acquisition methods of lower limb rehabilitation system for patients with stroke were introduced in this paper that is EEG signal extraction based on BCI and lower limb muscle electrical stimulation system based on EMG model. Through the wavelet packet transform (WPT) to analyze the EEG signal and collect the effective EEG signal. The wavelet transform is used to analyze the time and frequency domain, which provides a good feature vector for the dynamic analysis and motion recognition of EMG signals.

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Acknowledgments

This work was supported by grants of National Natural Science Foundation of China (Grant Nos. 51575407, 51575338, 51575412) and the UK Engineering and Physical Science Research Council (Grant No. EP/G041377/1).

Author information

Authors and Affiliations

  1. Key Laboratory of Metallurgical Equipment and Control Technology, Ministry of Education, Wuhan University of Science and Technology, Wuhan, 430081, China

    Heng Tang, Gongfa Li, Ying Sun, Guozhang Jiang, Jianyi Kong & Du Jiang

  2. Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering, Wuhan University of Science and Technology, Wuhan, 430081, China

    Gongfa Li, Ying Sun, Guozhang Jiang & Jianyi Kong

  3. The Laboratory of Intelligent System and Biomedical Robotics, University of Portsmouth, Portsmouth, PO1 3HE, UK

    Zhaojie Ju

Authors
  1. Heng Tang
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  2. Gongfa Li
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  3. Ying Sun
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  4. Guozhang Jiang
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  5. Jianyi Kong
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  6. Zhaojie Ju
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  7. Du Jiang
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Corresponding author

Correspondence to Heng Tang .

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Editors and Affiliations

  1. School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China

    YongAn Huang

  2. School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China

    Hao Wu

  3. Institute of Industrial Research, University of Portsmouth, Portsmouth, United Kingdom

    Honghai Liu

  4. School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China

    Zhouping Yin

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Tang, H. et al. (2017). Rehabilitation Training for Leg Based on EEG-EMG Fusion. In: Huang, Y., Wu, H., Liu, H., Yin, Z. (eds) Intelligent Robotics and Applications. ICIRA 2017. Lecture Notes in Computer Science(), vol 10462. Springer, Cham. https://doi.org/10.1007/978-3-319-65289-4_49

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  • DOI: https://doi.org/10.1007/978-3-319-65289-4_49

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-65288-7

  • Online ISBN: 978-3-319-65289-4

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