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

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

DOI:
10.3791/50602-v

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11:25 min

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July 26, 2013

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, , , ,
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

Chapters

  • 00:05Title
  • 02:05Experimental Protocol
  • 03:36Motion Capture / Treadmill Walking
  • 05:11Arena Walking
  • 06:55Sit to Stand
  • 08:04Hallway Walking
  • 09:20Results: EEG, EMG, and Motion Capture Data During Walking
  • 10:35Conclusion

Summary

Automatic Translation

Automatic Translation

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.

Tags

Keywords: EEGEMGInertial RecordingMulti-modal Neural DecodingBrain-machine InterfaceGait KinematicsTreadmill WalkingOverground WalkingRehabilitation

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