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MedicinePsychology

EEG classification of ADHD and normal children using non-linear features and neural network

M. Mohammadi, A. Khaleghi, A. Nasrabadi, Safa Rafieivand, Moslem Begol, Hadi Zarafshan

2016.6.18Biomedical Engineering Letters

DOI: 10.1007/s13534-016-0218-2

tlooto Summary

The ability of the non-linear features to distinguish ADHD children from healthy children is demonstrated and could indicate a more chaotic behavior of ADHD children while performing a cognitive task.

Abstract

Abstract is not available.

Citation format

MOHAMMADI, M., et al. EEG classification of ADHD and normal children using non-linear features and neural network. Biomedical Engineering Letters, 2016, 6: 66–73.