A comparative analysis of signal processing and classification methods for different applications based on EEG signals

2020/02/21 by Ashima Khosla, Padmavati Khandnor, Trilok Chand · 2 citations
Medicine · Neuroscience · Psychology · #Artificial intelligence #Computer science #ECG Monitoring and Analysis #EEG and Brain-Computer Interfaces #Electroencephalography #Feature extraction #Functional Brain Connectivity Studies #Functional magnetic resonance imaging #Neuroimaging #Neuroscience #Pattern recognition (psychology) #Psychology #Transcranial magnetic stimulation

paper · doi:10.1016/j.bbe.2020.02.002

openalex publication_date 2020/02/21 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/03

Citations

• Classifying depression patients and normal subjects using machine learning techniques and nonlinear features from EEG signal
• Analysis of a sleep-dependent neuronal feedback loop: the slow-wave microcontinuity of the EEG
• BCI2000: A General-Purpose Brain-Computer Interface (BCI) System
• PhysioBank, PhysioToolkit, and PhysioNet
• Deep convolutional neural network for the automated detection and diagnosis of seizure using EEG signals
• Generalized Stockwell transform and SVD-based epileptic seizure detection in EEG using random forest

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