Eye-blink artifact removal from single channel EEG with k-means and SSA
AK Maddirala, KC Veluvolu - Scientific Reports, 2021 - nature.com
In recent years, the usage of portable electroencephalogram (EEG) devices are becoming
popular for both clinical and non-clinical applications. In order to provide more comfort to the …
popular for both clinical and non-clinical applications. In order to provide more comfort to the …
Analysis and classification of speech imagery EEG for BCI
L Wang, X Zhang, X Zhong, Y Zhang - Biomedical signal processing and …, 2013 - Elsevier
Electroencephalogram (EEG) is generally used in brain–computer interface (BCI), including
motor imagery, mental task, steady-state evoked potentials (SSEPs) and P300. In order to …
motor imagery, mental task, steady-state evoked potentials (SSEPs) and P300. In order to …
Circulant singular spectrum analysis and discrete wavelet transform for automated removal of EOG artifacts from EEG signals
J Yedukondalu, LD Sharma - Sensors, 2023 - mdpi.com
Background: Portable electroencephalogram (EEG) systems are often used in health care
applications to record brain signals because their ease of use. An electrooculogram (EOG) …
applications to record brain signals because their ease of use. An electrooculogram (EOG) …
The coordination dynamics of social neuromarkers
Social behavior is a complex integrative function that entails many aspects of the brain's
sensory, cognitive, emotional and movement capacities. Its neural processes are seldom …
sensory, cognitive, emotional and movement capacities. Its neural processes are seldom …
Event-related functional network identification: application to EEG classification
V Gonuguntla, Y Wang… - IEEE journal of selected …, 2016 - ieeexplore.ieee.org
Recent works on brain functional analysis have accentuated the importance of distributed
functional networks and synchronized activity between networks in mediating cognitive …
functional networks and synchronized activity between networks in mediating cognitive …
Time-frequency analysis of band-limited EEG with BMFLC and Kalman filter for BCI applications
Abstract Background Time-Frequency analysis of electroencephalogram (EEG) during
different mental tasks received significant attention. As EEG is non-stationary, time …
different mental tasks received significant attention. As EEG is non-stationary, time …
Identification of emotion associated brain functional network with phase locking value
V Gonuguntla, R Mallipeddi… - 2016 38th annual …, 2016 - ieeexplore.ieee.org
Recognition of discriminative brain functional network pattern and regions corresponding to
emotions are important in understanding the neuron functional network underlying the …
emotions are important in understanding the neuron functional network underlying the …
Automatic annotation of peaks in seismocardiogram for systolic time intervals
Siemocardiography is a non-invasive technique for cardiomechanical assessment by
analyzing the local vibrations on chest surface which can be readily acquired from cost …
analyzing the local vibrations on chest surface which can be readily acquired from cost …
Feature selection for neutral vector in EEG signal classification
In the design of brain-computer interface systems, classification of Electroencephalogram
(EEG) signals is the essential part and a challenging task. Recently, as the marginalized …
(EEG) signals is the essential part and a challenging task. Recently, as the marginalized …
Bayesian spatial filters for source signal extraction: A study in the peripheral nerve
Y Tang, B Wodlinger, DM Durand - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
The ability to extract physiological source signals to control various prosthetics offer
tremendous therapeutic potential to improve the quality of life for patients suffering from …
tremendous therapeutic potential to improve the quality of life for patients suffering from …