Impact of brain regions on attention deficit hyperactivity disorder (ADHD) electroencephalogram (EEG) signals: Comparison of machine learning algorithms with empirical mode decomposition and time domain analysis

Our technique provides interpretable insights by focusing on particular regions of brain that makes it more applicable and relevant clinically.

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Publication Details

Journal
Applied Neuropsychology Child
Published
2025-06-16
DOI
https://doi.org/10.1080/21622965.2025.2511691
Citations
2
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
2.86
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article

Impact of brain regions on attention deficit hyperactivity disorder (ADHD) electroencephalogram (EEG) signals: Comparison of machine learning algorithms with empirical mode decomposition and time domain analysis

Mahi Khemchandani, Manjusha Deshmukh, Mitali Mhatre
2 citations
Applied Neuropsychology Child
EEG and Brain-Computer Interfaces
2.86
article

Impact of brain regions on attention deficit hyperactivity disorder (ADHD) electroencephalogram (EEG) signals: Comparison of machine learning algorithms with empirical mode decomposition and time domain analysis

Mahi Khemchandani, Manjusha Deshmukh, Mitali Mhatre
article en
2 citations

Abstract

Our technique provides interpretable insights by focusing on particular regions of brain that makes it more applicable and relevant clinically.

Applied Neuropsychology Child
Saraswati Dental College and Hospital (IN)
Quality Education
Openalex Percentile: Top 10%
EEG and Brain-Computer Interfaces
2.86
DOISourceOpenAlex
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