Significance of gender, brain region and EEG band complexity analysis for Parkinson’s disease classification using recurrence plots and machine learning algorithms - Sasidharan, Divya; Sowmya, V.; Gopalakrishnan, E. A. (Australasian physical & engineering sciences in medicine, 2025)
Keywords: Aged; Algorithms; Biological and Medical Physics; Biomedical and Life Sciences; Biomedical Engineering and Bioengineering; Biomedicine; Biophysics; Brain; Brain - pathology; Brain - physiopathology; Classification; Complexity; Dopamine; Electroencephalography; Entropy; Female; Frequencies; Gender; Humans; Machine Learning; Male; Medical and Radiation Physics; Middle Aged; Neurological diseases; Nonlinear analysis; Parkinson Disease - classification; Parkinson Disease - diagnosis; Parkinson Disease - physiopathology; Parkinson's disease; Scientific Paper; Sex Characteristics; Sex Factors; Signal Processing, Computer-Assisted; Synchronism; Recurrence plots (RPs); Electroencephalography (EEG); Cross recurrence plot (CRP); Parkinsons disease; Machine learning; Complexity