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Erschienen in:
Ankle Active Rehabilitation Strategies Analysis Based on the Characteristics of Human and Robotic Integrated Biomechanics Simulation Kapitel lesen Erstes Kapitel lesen

2017 | OriginalPaper | Buchkapitel

Rehabilitation Training for Leg Based on EEG-EMG Fusion

verfasst von : Heng Tang, Gongfa Li, Ying Sun, Guozhang Jiang, Jianyi Kong, Zhaojie Ju, Du Jiang

Erschienen in: Intelligent Robotics and Applications

Verlag: Springer International Publishing

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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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Vorheriges Kapitel A Remote Online Condition Monitoring and Intelligent Diagnostic System for Wind Turbine
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Metadaten
Titel
Rehabilitation Training for Leg Based on EEG-EMG Fusion
verfasst von
Heng Tang
Gongfa Li
Ying Sun
Guozhang Jiang
Jianyi Kong
Zhaojie Ju
Du Jiang
Copyright-Jahr
2017
Buch
Intelligent Robotics and Applications

Print ISBN: 978-3-319-65288-7

Electronic ISBN: 978-3-319-65289-4

Copyright-Jahr: 2017

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