Authors:
Thierry Castermans
1
;
Matthieu Duvinage
1
;
Guy Cheron
2
and
Thierry Dutoit
1
Affiliations:
1
Université de Mons, Belgium
;
2
Université Libre de Bruxelles, Belgium
Keyword(s):
EEG Analysis, Human Locomotion, Artifacts, Brain-computer Interfaces.
Related
Ontology
Subjects/Areas/Topics:
Applications and Services
;
Biomedical Engineering
;
Biomedical Signal Processing
;
Computer Vision, Visualization and Computer Graphics
;
Devices
;
Health Information Systems
;
Human-Computer Interaction
;
Medical Image Detection, Acquisition, Analysis and Processing
;
Physiological Computing Systems
;
Wearable Sensors and Systems
Abstract:
The main challenge when studying EEG signals related to human walk control comes from the fact that signals of many different origins are mixed up. Indeed, descending commands from the brain are generated, while ascending sensorimotor information coming from the feet is sent to the brain. In addition to the inherent complexity of the human control mechanism, experimental investigation of the cerebral activity elicited during walk is highly challenging: electrode movements are produced by movements of the head, but also by the shocks undergone by the whole body at each step, which – albeit significantly attenuated – are transmitted to the head and degrade the quality of EEG signals. Recently, different EEG studies of human locomotion have been published. These are based on different hypotheses and/or produce results that are contradictory. After reviewing and describing the discrepancies between the different approaches, we propose new experimental
protocols which should help to solve
important issues.
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