Fractal dimensions and machine learning for detection of Parkinson's disease in resting-state electroencephalography
Parkinson's disease (PD) is an incurable neurological disorder that degenerates the
cerebrospinal nervous system and hinders motor functions. Electroencephalography (EEG) …
cerebrospinal nervous system and hinders motor functions. Electroencephalography (EEG) …
Automated diagnosis of encephalopathy using fractal dimensions of EEG sub-bands
JE Jacob, K Gopakumar - 2018 IEEE Recent Advances in …, 2018 - ieeexplore.ieee.org
The pattern of fractal dimensions in various EEG sub-bands is analyzed in a particular
disease called encephalopathy. Both Higuchi's fractal dimension and Katz's fractal …
disease called encephalopathy. Both Higuchi's fractal dimension and Katz's fractal …
Exploiting the Differential Wavelet Domain of Resting-State EEG Using a Deep-CNN for Screening Parkinson's Disease
In this paper, a deep Convolutional Neural Network (CNN) of 20 layers was deployed to
exploit the features extracted from the Laplacian of the Wavelet transform of a resting-state …
exploit the features extracted from the Laplacian of the Wavelet transform of a resting-state …
Parkinson's disease detection from resting-state EEG signals using common spatial pattern, entropy, and machine learning techniques
Parkinson's disease (PD) is a very common brain abnormality that affects people all over the
world. Early detection of such abnormality is critical in clinical diagnosis in order to prevent …
world. Early detection of such abnormality is critical in clinical diagnosis in order to prevent …
Automatic diagnosis of epileptic seizures in EEG signals using fractal dimension features and convolutional autoencoder method
A Malekzadeh, A Zare, M Yaghoobi… - Big Data and Cognitive …, 2021 - mdpi.com
This paper proposes a new method for epileptic seizure detection in
electroencephalography (EEG) signals using nonlinear features based on fractal dimension …
electroencephalography (EEG) signals using nonlinear features based on fractal dimension …
Diagnosis of Parkinson's disease using computer aided tool based on EEG
KS Prabhu, RJ Martis - 2020 IEEE 17th India Council …, 2020 - ieeexplore.ieee.org
Parkinson's Disease (PD) is a disorder affecting cortical and sub-cortical regions of the
brain. The EEG recorded from these regions show variations in their patterns in patients with …
brain. The EEG recorded from these regions show variations in their patterns in patients with …
PDCNNet: An automatic framework for the detection of Parkinson's disease using EEG signals
Parkinson's disease (PD) is a neurodegenerative ailment which causes changes in the
neuronal, behavioral, and physiological structures. During the early stages of PD, these …
neuronal, behavioral, and physiological structures. During the early stages of PD, these …
Modeling of movement-related potentials using a fractal approach
A Bülent Uşaklı - Journal of computational neuroscience, 2010 - Springer
In bio-signal applications, classification performance depends greatly on feature extraction,
which is also the case for electroencephalogram (EEG) based applications. Feature …
which is also the case for electroencephalogram (EEG) based applications. Feature …
An investigation of the multi-dimensional (1D vs. 2D vs. 3D) analyses of EEG signals using traditional methods and deep learning-based methods
Electroencephalographic (EEG) signals are electrical signals generated in the brain due to
cognitive activities. They are non-invasive and are widely used to assess neurodegenerative …
cognitive activities. They are non-invasive and are widely used to assess neurodegenerative …
Exploring recurrence quantification analysis and fractal dimension algorithms for diagnosis of encephalopathy
Electroencephalography (EEG) is a crucial non-invasive medical tool for diagnosing
neurological disorder called encephalopathy. There is a requirement for powerful signal …
neurological disorder called encephalopathy. There is a requirement for powerful signal …