Simultaneous Scalp Electroencephalography (EEG), Electromyography (EMG), and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding

Thomas C. Bulea; Atilla Kilicarslan; Recep Ozdemir; William H. Paloski; Jose L. Contreras-Vidal

doi:10.3791/50602

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Simultaneous Scalp Electroencephalography (EEG), Electromyography (EMG), and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding

JoVE Journal
Behavior

This content is Free Access.

JoVE Journal Behavior

Simultaneous Scalp Electroencephalography (EEG), Electromyography (EMG), and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding

43,103 Views

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11:25 min

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July 26, 2013

DOI:

10.3791/50602-v

DOI:

10.3791/50602-v

•

11:25 min

July 26, 2013

•

15 Views

Thomas C. Bulea^1,2, Atilla Kilicarslan², Recep Ozdemir^2,3,4, William H. Paloski^3,4, Jose L. Contreras-Vidal^2,4,5

¹Functional and Applied Biomechanics Group,National Institutes of Health, ²Laboratory for Non-invasive Brain-Machine Interface Systems, Department of Electrical and Computer Engineering,University of Houston, ³Department of Health and Human Performance,University of Houston, ⁴Center for Neuromotor & Biomechanics Research,University of Houston, ⁵Department of Biomedical Engineering,University of Houston

Summary

Development of an effective brain-machine-interface (BMI) system for restoration and rehabilitation of bipedal locomotion requires accurate decoding of user's intent. Here we present a novel experimental protocol and data collection technique for simultaneous non-invasive acquisition of neural activity, muscle activity, and whole-body kinematics during various locomotion tasks and conditions.