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.
Authors
- Hema Priya N
- Vinayakumar Ravi (ORCID: https://orcid.org/0000-0001-6873-6469)
- Wael Suliman (ORCID: https://orcid.org/0000-0002-3344-413X)
- Shymala Gowri S (ORCID: https://orcid.org/0000-0001-8700-0983)
- Niranjana RS
Institutions
- Prince Mohammad bin Fahd University (SA)
- PSG INSTITUTE OF TECHNOLOGY AND APPLIED RESEARCH (IN)
Publication Details
- Published
- 2024-12-03
- DOI
- https://doi.org/10.1109/isaect64333.2024.10799879
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 0.00