Review and classification of emotion recognition based on EEG brain-computer interface system research: a systematic review
Recent developments and studies in brain-computer interface (BCI) technologies have
facilitated emotion detection and classification. Many BCI studies have sought to investigate …
facilitated emotion detection and classification. Many BCI studies have sought to investigate …
Parkinson's disease: Cause factors, measurable indicators, and early diagnosis
Parkinson's disease (PD) is a neurodegenerative disease of the central nervous system
caused due to the loss of dopaminergic neurons. It is classified under movement disorder as …
caused due to the loss of dopaminergic neurons. It is classified under movement disorder as …
EEG-based emotion charting for Parkinson's disease patients using Convolutional Recurrent Neural Networks and cross dataset learning
Electroencephalogram (EEG) based emotion classification reflects the actual and intrinsic
emotional state, resulting in more reliable, natural, and meaningful human-computer …
emotional state, resulting in more reliable, natural, and meaningful human-computer …
[HTML][HTML] The role of quantitative EEG in the diagnosis of neuropsychiatric disorders
LL Popa, H Dragos, C Pantelemon… - Journal of medicine …, 2020 - ncbi.nlm.nih.gov
Quantitative electroencephalography (QEEG) is a modern type of electroencephalography
(EEG) analysis that involves recording digital EEG signals which are processed …
(EEG) analysis that involves recording digital EEG signals which are processed …
Performance evaluation of multi-channel electroencephalogram signal (EEG) based time frequency analysis for human emotion recognition
KP Wagh, K Vasanth - Biomedical Signal Processing and Control, 2022 - Elsevier
The automated detection of a human's emotional state by acquiring physiological or non-
physiological cues is referred to as Emotion Recognition. The EEG-based approach is an …
physiological cues is referred to as Emotion Recognition. The EEG-based approach is an …
Functional changes in brain oscillations in dementia: a review
A growing body of evidence indicates that several characteristics of electroencephalography
(EEG) and magnetoencephalography (MEG) play a functional role in cognition and could be …
(EEG) and magnetoencephalography (MEG) play a functional role in cognition and could be …
Tunable Q wavelet transform based emotion classification in Parkinson's disease using Electroencephalography
Parkinson's disease (PD) is a severe incurable neurological disorder. It is mostly
characterized by non-motor symptoms like fatigue, dementia, anxiety, speech and …
characterized by non-motor symptoms like fatigue, dementia, anxiety, speech and …
[BOOK][B] The clinical neuroscience of lateralization
A Mundorf, S Ocklenburg - 2021 - taylorfrancis.com
The Clinical Neuroscience of Lateralization gives the first comprehensive transdiagnostic
overview of the evidence for changes in hemispheric asymmetries in different psychiatric …
overview of the evidence for changes in hemispheric asymmetries in different psychiatric …
An artificial intelligence based effective diagnosis of parkinson disease using EEG signal
This study focuses on the use of human bio-signals for the early diagnosis of PD
(Parkinson's disease). EEG (Electroencephalography) and EMG have been used to …
(Parkinson's disease). EEG (Electroencephalography) and EMG have been used to …
Analysis of thermal comfort, energy consumption, and CO2 reduction of indoor space according to the type of local heating under winter rest conditions
In this study, the thermal comfort of indoor spaces while resting under winter indoor
conditions was evaluated by analyzing the bio-signals of the human body according to the …
conditions was evaluated by analyzing the bio-signals of the human body according to the …