Challenges and future perspectives on electroencephalogram-based biometrics in person recognition
The emergence of the digital world has greatly increased the number of accounts and
passwords that users must remember. It has also increased the need for secure access to …
passwords that users must remember. It has also increased the need for secure access to …
[HTML][HTML] Brain-printing biometrics underlying mechanism as an early diagnostic technique for Alzheimer's disease neurodegenerative type
MM Anwar - Current Research in Physiology, 2021 - Elsevier
Early diagnosis of neurodegenerative diseases, especially Alzheimer's disease (AD), is
essential for implementing the appropriate treatment protocols and controlling disease …
essential for implementing the appropriate treatment protocols and controlling disease …
A novel beamformer-based imaging of phase–amplitude coupling (BIPAC) unveiling the inter-regional connectivity of emotional prosody processing in women with …
Objective. Neural communication or the interactions of brain regions play a key role in the
formation of functional neural networks. A type of neural communication can be measured in …
formation of functional neural networks. A type of neural communication can be measured in …
Beamformer-based imaging of phase-amplitude coupling using electromagnetic brain activity
Phase-amplitude coupling (PAC) between neural oscillations of different frequencies plays a
crucial role in cognitive processing. Assessing the PAC at both sensor and source levels …
crucial role in cognitive processing. Assessing the PAC at both sensor and source levels …
Depth-invariant beamforming for functional connectivity with MEG data
J Zhang - Statistics and Its Interface, 2022 - kar.kent.ac.uk
The conventional beamformers that reconstruct the cerebral origin of brain activity measured
outside the head via electro-and magnetoencephalography (EEG/MEG) suffer from depth …
outside the head via electro-and magnetoencephalography (EEG/MEG) suffer from depth …
Beamformer Source Estimation Improves Accuracy of Motor-Imagery-based Brain Computer Interface
Motor-imagery-based brain computer interface has advantages in high information transition
rate and has potential to achieve high portability without using a display for visual …
rate and has potential to achieve high portability without using a display for visual …