Dry electrodes for human bioelectrical signal monitoring
Y Fu, J Zhao, Y Dong, X Wang - Sensors, 2020 - mdpi.com
Bioelectrical or electrophysiological signals generated by living cells or tissues during daily
physiological activities are closely related to the state of the body and organ functions, and …
physiological activities are closely related to the state of the body and organ functions, and …
Review of semi-dry electrodes for EEG recording
GL Li, JT Wu, YH Xia, QG He… - Journal of Neural …, 2020 - iopscience.iop.org
Developing reliable and user-friendly electroencephalography (EEG) electrodes remains a
challenge for emerging real-world EEG applications. Classic wet electrodes are the gold …
challenge for emerging real-world EEG applications. Classic wet electrodes are the gold …
Trends in EEG-BCI for daily-life: Requirements for artifact removal
J Minguillon, MA Lopez-Gordo, F Pelayo - Biomedical Signal Processing …, 2017 - Elsevier
Since the discovery of the EEG principles by Berger in the 20's, procedures for artifact
removal have been essential in its pre-processing. In literature, diverse approaches based …
removal have been essential in its pre-processing. In literature, diverse approaches based …
Dry EEG electrodes
MA Lopez-Gordo, D Sanchez-Morillo, FP Valle - Sensors, 2014 - mdpi.com
Electroencephalography (EEG) emerged in the second decade of the 20th century as a
technique for recording the neurophysiological response. Since then, there has been little …
technique for recording the neurophysiological response. Since then, there has been little …
Soft, curved electrode systems capable of integration on the auricle as a persistent brain–computer interface
JJS Norton, DS Lee, JW Lee, W Lee… - Proceedings of the …, 2015 - National Acad Sciences
Recent advances in electrodes for noninvasive recording of electroencephalograms expand
opportunities collecting such data for diagnosis of neurological disorders and brain …
opportunities collecting such data for diagnosis of neurological disorders and brain …
How to successfully classify EEG in motor imagery BCI: a metrological analysis of the state of the art
Objective. Processing strategies are analyzed with respect to the classification of
electroencephalographic signals related to brain-computer interfaces (BCIs) based on motor …
electroencephalographic signals related to brain-computer interfaces (BCIs) based on motor …
A review of recent advances in vital signals monitoring of sports and health via flexible wearable sensors
W Sun, Z Guo, Z Yang, Y Wu, W Lan, Y Liao, X Wu… - Sensors, 2022 - mdpi.com
In recent years, vital signals monitoring in sports and health have been considered the
research focus in the field of wearable sensing technologies. Typical signals include …
research focus in the field of wearable sensing technologies. Typical signals include …
A flexible, robust, and gel-free electroencephalogram electrode for noninvasive brain-computer interfaces
Brain–computer interfaces (BCIs) enable direct and near-instant communication between
the brain and electronic devices. One of the biggest remaining challenges is to develop an …
the brain and electronic devices. One of the biggest remaining challenges is to develop an …
Wearable, wireless EEG solutions in daily life applications: what are we missing?
V Mihajlović, B Grundlehner, R Vullers… - IEEE journal of …, 2014 - ieeexplore.ieee.org
Monitoring human brain activity has great potential in helping us understand the functioning
of our brain, as well as in preventing mental disorders and cognitive decline and improve …
of our brain, as well as in preventing mental disorders and cognitive decline and improve …
A review on the computational methods for emotional state estimation from the human EEG
A growing number of affective computing researches recently developed a computer system
that can recognize an emotional state of the human user to establish affective human …
that can recognize an emotional state of the human user to establish affective human …