Sabotage Detection Using DL Models on EEG Data From a Cognitive-Motor Integration Task

Sabotage Detection Using DL Models on EEG Data From a Cognitive-Motor Integration Task

Objective clinical tools, including cognitive-motor integration (CMI) tasks, have the potential to improve concussion rehabilitation by helping to determine whether or not a concussion has occurred. In order to be useful, however, an individual must put forth their best effort. In this study, we hav...

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Bibliographic Details
Main Authors: Adams, M.S (Author), Chaudhary, M. (Author), Litoiu, M. (Author), Mukhopadhyay, S. (Author), Sergio, L.E (Author)
Format: Article
Language:English
Published: Frontiers Media S.A. 2021
Subjects:
adult
Article
attention
baseline testing
brain cortex
brain function
causality
CNN
cognition
cognitive motor integration task
cognitive-motor integration
controlled study
convolutional neural network
deep learning
electroencephalogram
electroencephalography
false positive result
feature detection
feature extraction
female
human
human experiment
information processing
long short term memory network
LSTM
male
motor performance
normal human
sabotage detection
task performance
time series analysis
two-dimensional imaging
visuomotor coordination
wearable devices
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