Flexible electrodes for brain–computer interface system
Brain–computer interface (BCI) has been the subject of extensive research recently.
Governments and companies have substantially invested in relevant research and …
Governments and companies have substantially invested in relevant research and …
Review of semi-dry electrodes for EEG recording
GL Li, JT Wu, YH ** 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 …
On-skin paintable biogel for long-term high-fidelity electroencephalogram recording
Long-term high-fidelity electroencephalogram (EEG) recordings are critical for clinical and
brain science applications. Conductive liquid-like or solid-like wet interface materials have …
brain science applications. Conductive liquid-like or solid-like wet interface materials have …
Polyvinyl alcohol/polyacrylamide double-network hydrogel-based semi-dry electrodes for robust electroencephalography recording at hairy scalp for noninvasive …
G Li, Y Liu, Y Chen, M Li, J Song, K Li… - Journal of Neural …, 2023 - iopscience.iop.org
Objective. Reliable and user-friendly electrodes can continuously and real-time capture the
electroencephalography (EEG) signals, which is essential for real-life brain–computer …
electroencephalography (EEG) signals, which is essential for real-life brain–computer …
Towards real-life EEG applications: Novel superporous hydrogel-based semi-dry EEG electrodes enabling automatically 'charge–discharge'electrolyte
G Li, S Wang, M Li, YY Duan - Journal of Neural Engineering, 2021 - iopscience.iop.org
Objective. A novel polyacrylamide/polyvinyl alcohol superporous hydrogel (PAAm/PVA
SPH)-based semi-dry electrode was constructed for capturing electroencephalogram (EEG) …
SPH)-based semi-dry electrode was constructed for capturing electroencephalogram (EEG) …
[HTML][HTML] Convolutional neural network for drowsiness detection using EEG signals
Drowsiness detection (DD) has become a relevant area of active research in biomedical
signal processing. Recently, various deep learning (DL) researches based on the EEG …
signal processing. Recently, various deep learning (DL) researches based on the EEG …
Design of hydrogel-based wearable EEG electrodes for medical applications
The electroencephalogram (EEG) is considered to be a promising method for studying brain
disorders. Because of its non-invasive nature, subjects take a lower risk compared to some …
disorders. Because of its non-invasive nature, subjects take a lower risk compared to some …
Chitosan-driven skin-attachable hydrogel sensors toward human motion and physiological signal monitoring
R **, J Xu, L Duan, G Gao - Carbohydrate Polymers, 2021 - Elsevier
Recently, flexible and wearable sensors assembled from conductive hydrogels have
attracted widespread attention. However, it is still a great challenge to make hydrogels with …
attracted widespread attention. However, it is still a great challenge to make hydrogels with …
Towards conductive-gel-free electrodes: Understanding the wet electrode, semi-dry electrode and dry electrode-skin interface impedance using electrochemical …
G Li, S Wang, YY Duan - Sensors and Actuators B: Chemical, 2018 - Elsevier
The electrode-scalp impedance of six subjects is studied by electrochemical impedance
spectroscopy using three representative electrodes, namely wet electrodes, semi-dry …
spectroscopy using three representative electrodes, namely wet electrodes, semi-dry …
The latest research progress of conductive hydrogels in the field of electrophysiological signal acquisition
H Ding, Y Gu, Y Ren, C Hu, Q Qiu, D Wu… - Journal of Materials …, 2024 - pubs.rsc.org
During the physiological activities of the human body, a variety of rich electrophysiological
signals are generated, and these signals are mainly acquired through electrodes. Therefore …
signals are generated, and these signals are mainly acquired through electrodes. Therefore …