Results 11 to 20 of about 2,021,152 (244)
Modulation of EEG Theta Band Signal Complexity by Music Therapy [Forthcoming] [PDF]
The primary goal of this study was to investigate the impact of monochord (MC) sounds, a type of archaic sounds used in music therapy, on the neural complexity of EEG signals obtained from patients undergoing chemotherapy.
Bhattacharya, Joydeep, Lee, Eun-Jeong
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Real time eye blink noise removal from EEG signals using morphological component analysis [PDF]
This paper presents a method of removing the noise caused by eye blinks from an electroencephalogram (EEG) signal in real time based on morphological component analysis (MCA).
Beeby, Stephen +2 more
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An empathic collaborative robot (cobot) was realized through the transmission of fear from a human agent to a robot agent. Such empathy was induced through an electroencephalographic (EEG) sensor worn by the human agent, thus realizing an empathic safe ...
Alberto Borboni +2 more
doaj +1 more source
Electroencephalography (EEG) is a measurement tool to measure the electrical activity of brain observed due to chemical variation in brain. The EEG analysis has important role in feature extraction and classification methods for detecting and predicting ...
Varsha Harpale, Vinayak Bairagi
doaj +1 more source
Continuous EEG source imaging enhances analysis of EEG-fMRI in focal epilepsy [PDF]
Introduction: EEG-correlated fMRI (EEG-fMRI) studies can reveal haemodynamic changes associated with Interictal Epileptic Discharges (IED). Methodological improvements are needed to increase sensitivity and specificity for localising the epileptogenic ...
Lemieux, L. +15 more
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Artifact reduction in multichannel pervasive EEG using hybrid WPT-ICA and WPT-EMD signal decomposition techniques [PDF]
In order to reduce the muscle artifacts in multi-channel pervasive Electroencephalogram (EEG) signals, we here propose and compare two hybrid algorithms by combining the concept of wavelet packet transform (WPT), empirical mode decomposition (EMD) and ...
Koushik Maharatna +7 more
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Autism Spectrum Disorder (ASD) is a neurodevelopment syndrome decreasing sufferers' social interaction, communication skills, and emotional expression. Autism syndrome can be detected using an electroencephalogram (EEG).
Melinda Melinda +4 more
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Network Perspectives on Epilepsy Using EEG/MEG Source Connectivity
The evolution of EEG/MEG source connectivity is both, a promising, and controversial advance in the characterization of epileptic brain activity. In this narrative review we elucidate the potential of this technology to provide an intuitive view of the ...
Pieter van Mierlo +3 more
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Multiscale Hjorth Descriptor on Epileptic EEG Classification
The electroencephalogram (EEG) examination provides information on the brain’s electricity, especially in cases of epilepsy. Since the characteristics of EEG signals are nonlinear and nonstationary, visual inspection becomes very difficult.
Achmad Rizal +5 more
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Preservation of EEG spectral power features during simultaneous EEG-fMRI
IntroductionElectroencephalographic (EEG) data quality is severely compromised when recorded inside the magnetic resonance (MR) environment. Here we characterized the impact of the ballistocardiographic (BCG) artifact on resting-state EEG spectral ...
Jonathan Gallego-Rudolf +5 more
doaj +1 more source

