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Behavior

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JoVE Journal Behavior
Samtidig Hodebunnen Electroencephalography (EEG), Elektromyografi (EMG), og Whole-body Segmental Inertial opptak for Multi-modal Neural dekoding
Video Processing and Manual Counting for C. elegans Lawn Avoidance Assay
Journal (Behavior)
Video Processing and Manual Counting for C. elegans Lawn Avoidance Assay
Visualization of Intensity Levels to Reduce the Gap Between Self-Reported and Directly Measured Physical Activity
Journal (Behavior)
Visualization of Intensity Levels to Reduce the Gap Between Self-Reported and Directly Measured Physical Activity
 
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Samtidig Hodebunnen Electroencephalography (EEG), Elektromyografi (EMG), og Whole-body Segmental Inertial opptak for Multi-modal Neural dekoding

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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Utvikling av en effektiv hjerne-maskin-grensesnitt (BMI) system for restaurering og rehabilitering av bipedal bevegelse krever nøyaktig dekoding av brukerens hensikt. Her presenterer vi en ny eksperimentell protokoll og datainnsamling teknikk for samtidig non-invasiv oppkjøpet av nevral aktivitet, muskel aktivitet, og hele kroppen kinematikk under ulike bevegelsesmønstrene oppgaver og betingelser.

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Atferd Neuroscience nevrobiologi medisin anatomi fysiologi Biomedical Engineering molekylær biologi Electroencephalography EEG elektromyografi EMG electroencephalograph gangart hjerne-datamaskin-grensesnitt hjerne maskin-grensesnitt nevrale dekoding over-bakken walking robot gangart hjerne bildebehandling kliniske teknikker
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