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

Article DOI: 10.3791/50602-v • 11:25 min • July 26th, 2013
July 26th, 2013 •
1,2, 2, 2,3,4, 3,4, 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

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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.

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Simultaneous Scalp Electroencephalography Electromyography Whole-body Segmental Inertial Recording Multi-modal Neural Decoding Supraspinal Networks Bipedal Human Walking Gait Kinematics Limb Coordination Treadmill Walking Decoding Accuracies Non-invasive Brain-machine-interface Restoration Augmentation Of Gait Rehabilitation Research Everyday Locomotor Tasks Over Ground Walking Turning Novel Protocol Brain Activity EEG Muscle Activity EMG Whole-body Kinematic Data
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