Classification of the Central Effects of Transcutaneous Electroacupuncture Stimulation (TEAS) at Different Frequencies: A Deep Learning Approach Using Wavelet Packet Decomposition with an Entropy Estimator

Classification of the Central Effects of Transcutaneous Electroacupuncture Stimulation (TEAS) at Different Frequencies: A Deep Learning Approach Using Wavelet Packet Decomposition with an Entropy Estimator

The field of signal processing using machine and deep learning algorithms has undergone significant growth in the last few years, with a wide scope of practical applications for electroencephalography (EEG). Transcutaneous electroacupuncture stimulation (TEAS) is a well-established variant of the tr...

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Bibliographic Details
Main Authors: Çağlar Uyulan, David Mayor, Tony Steffert, Tim Watson, Duncan Banks
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Applied Sciences
Subjects:
transcutaneous electroacupuncture
sham stimulation
EEG
wavelet packet decomposition
machine learning
deep learning
Online Access:https://www.mdpi.com/2076-3417/13/4/2703

Internet

https://www.mdpi.com/2076-3417/13/4/2703

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