BIOMEDICAL SIGNAL PROCESSING IN COGNITIVE RESEARCH: BRAIN FINGERPRINTING AND POLYGRAPH TESTING
DOI:
https://doi.org/10.59277/RRST-EE.2025.2.10Keywords:
Biosignal processing, Brain fingerprinting, Polygraph testing, Electroencephalography analysis, NeuroengineeringAbstract
This study examines the role of signal processing in Brain Fingerprinting (BF) and Polygraph Testing (PT), two techniques that rely on the acquisition and analysis of biomedical signals. The research examines the methods of biomedical signal processing, including filtering, feature extraction, and classification, to improve accuracy and reliability. Experimental results suggest that advanced electroencephalograph (EEG) signal processing techniques can enhance Brain Fingerprinting applications, while polygraph testing remains widely used due to its accessibility. The findings contribute to the development of more accurate, objective, and non-invasive biomedical signal analysis techniques in cognitive research and neuroengineering.
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