Investigating Brain Responses to Transcutaneous Electroacupuncture Stimulation: A Deep Learning Approach

Investigating Brain Responses to Transcutaneous Electroacupuncture Stimulation: A Deep Learning Approach

This study investigates the neurophysiological effects of transcutaneous electroacupuncture stimulation (TEAS) on brain activity, using advanced machine learning techniques. This work analyzed the electroencephalograms (EEG) of 48 study participants, in order to analyze the brain’s response to diffe...

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Bibliographic Details
Main Authors: Tahereh Vasei, Harshil Gediya, Maryam Ravan, Anand Santhanakrishnan, David Mayor, Tony Steffert
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Algorithms
Subjects:
EEG signal classification
EEGNet
saliency map
transcutaneous electroacupuncture stimulation (TEAS)
Online Access:https://www.mdpi.com/1999-4893/17/11/477
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