[PDF][PDF] Statistical feature-based EEG signals classification using ANN and SVM classifiers for Parkinson's disease detection
R Haloi, D Chanda, J Hazarika, A Barman - Int. J. Exp. Res. Rev, 2023 - academia.edu
Parkinson's disease (PD) is a neurological disorder which is progressive in nature. Although
there is no cure to this disease, symptomatic treatments are available. These treatments can …
there is no cure to this disease, symptomatic treatments are available. These treatments can …
Selection of appropriate statistical features of EEG signals for detection of Parkinson's disease
R Haloi, J Hazarika, D Chanda - … International Conference on …, 2020 - ieeexplore.ieee.org
Analysis of signal transmission activities of human brain can give fruitful information about its
functions. These information are of very importance in detection and diagnosis of different …
functions. These information are of very importance in detection and diagnosis of different …
Performance analysis of mother wavelet functions and thresholding methods for denoising eeg signals during cognitive tasks
Artifact reduction is a major challenging task in the analysis of Electroencephalography
signals. Wavelet denoising is one of the efficient techniques for rejecting artifacts and it has …
signals. Wavelet denoising is one of the efficient techniques for rejecting artifacts and it has …
[PDF][PDF] Associations between EEG and cognition in Parkinson's disease.
EK Peterson - 2020 - ir.canterbury.ac.nz
Parkinson's disease (PD) is a progressive neurodegenerative disorder that is accompanied
by a range of both motor and non-motor symptoms. Cognitive impairment in PD is …
by a range of both motor and non-motor symptoms. Cognitive impairment in PD is …