A Comparative Analysis of Physiological Signal Processing and Classification: Advances in EEG, EMG, and EOG Modalities

Electroencephalogram (EEG), Electromyogram (EMG), and Electrooculogram (EOG) are crucial biomedical signals that present particulars of brain activity, muscle activity, and eye movements which are useful in many critical domains like clinical diagnosis and assistive technologies. The intention of this review article is investigate on the data collection of these physiological signals, analyze available datasets, and provide insights into the state of the art techniques available along with offering possible directions for future work.

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Published
2024-12-03
DOI
https://doi.org/10.1109/isaect64333.2024.10799879
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
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A Comparative Analysis of Physiological Signal Processing and Classification: Advances in EEG, EMG, and EOG Modalities

Hema Priya N, Vinayakumar Ravi, Wael Suliman, Shymala Gowri S et al.
EEG and Brain-Computer Interfaces
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A Comparative Analysis of Physiological Signal Processing and Classification: Advances in EEG, EMG, and EOG Modalities

Hema Priya N, Vinayakumar Ravi, Wael Suliman, Shymala Gowri S, Niranjana RS
article en

Abstract

Electroencephalogram (EEG), Electromyogram (EMG), and Electrooculogram (EOG) are crucial biomedical signals that present particulars of brain activity, muscle activity, and eye movements which are useful in many critical domains like clinical diagnosis and assistive technologies. The intention of this review article is investigate on the data collection of these physiological signals, analyze available datasets, and provide insights into the state of the art techniques available along with offering possible directions for future work.

Prince Mohammad bin Fahd University (SA), PSG INSTITUTE OF TECHNOLOGY AND APPLIED RESEARCH (IN)
Openalex Percentile: Top 75%
EEG and Brain-Computer Interfaces
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