Neurophysiological EEG Characterization of Autism Spectrum Disorder Using DWT-Based Frequency Analysis With Selective Electrodes and Brain Segmentation: An Explainable AI-Driven Approach.
- DOI
- 10.1096/fj.202600019r
- Published
- 2026 Jul 15
- Container
- FASEB journal : official publication of the Federation of American Societies for Experimental Biology
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1096/fj.202600019r,
title = {Neurophysiological EEG Characterization of Autism Spectrum Disorder Using DWT-Based Frequency Analysis With Selective Electrodes and Brain Segmentation: An Explainable AI-Driven Approach.},
author = {Samir KMM and Sarker AS and Das S},
year = {2026},
journal = {FASEB journal : official publication of the Federation of American Societies for Experimental Biology},
doi = {10.1096/fj.202600019r},
url = {https://doi.org/10.1096/fj.202600019r}
}RIS
TY - JOUR TI - Neurophysiological EEG Characterization of Autism Spectrum Disorder Using DWT-Based Frequency Analysis With Selective Electrodes and Brain Segmentation: An Explainable AI-Driven Approach. AU - Samir KMM AU - Sarker AS AU - Das S PY - 2026 JO - FASEB journal : official publication of the Federation of American Societies for Experimental Biology DO - 10.1096/fj.202600019r UR - https://doi.org/10.1096/fj.202600019r ER -
APA
KMM, S., AS, S., & S, D. (2026). Neurophysiological EEG Characterization of Autism Spectrum Disorder Using DWT-Based Frequency Analysis With Selective Electrodes and Brain Segmentation: An Explainable AI-Driven Approach.. FASEB journal : official publication of the Federation of American Societies for Experimental Biology. https://doi.org/10.1096/fj.202600019r
Source records
- pubmed · retrieved 2026-09-26T03:59:53.743Z