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 …
Surface bioelectric dry Electrodes: A review
X Niu, X Gao, Y Liu, H Liu - Measurement, 2021 - Elsevier
The surface bioelectric sensors in contact with human skin is a key component of Long-term
wearable health monitoring systems (LWHMs), bioelectric signals generated by living cells …
wearable health monitoring systems (LWHMs), bioelectric signals generated by living cells …
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 deep domain adaptation framework with correlation alignment for EEG-based motor imagery classification
It is impractical to collect sufficient and well-labeled EEG data in Brain-computer interface
because of the time-consuming data acquisition and costly annotation. Conventional …
because of the time-consuming data acquisition and costly annotation. Conventional …
Single-source to single-target cross-subject motor imagery classification based on multisubdomain adaptation network
In the electroencephalography (EEG) based cross-subject motor imagery (MI) classification
task, the device and subject problems can cause the time-related data distribution shift …
task, the device and subject problems can cause the time-related data distribution shift …
Effects of cable sway, electrode surface area, and electrode mass on electroencephalography signal quality during motion
More neuroscience researchers are using scalp electroencephalography (EEG) to measure
electrocortical dynamics during human locomotion and other types of movement. Motion …
electrocortical dynamics during human locomotion and other types of movement. Motion …
Systematic review of textile-based electrodes for long-term and continuous surface electromyography recording
This systematic review concerns the use of smart textiles enabled applications based on
myoelectric activity. Electromyography (EMG) is the technique for recording and evaluating …
myoelectric activity. Electromyography (EMG) is the technique for recording and evaluating …
EEG fading data classification based on improved manifold learning with adaptive neighborhood selection
In electroencephalogram (EEG) signal analysis, data fading problem exists from signal
production to collection by brain-computer interface (BCI) device, which can be raised by …
production to collection by brain-computer interface (BCI) device, which can be raised by …
Time evolution of the skin–electrode interface impedance under different skin treatments
A low and stable impedance at the skin–electrode interface is key to high-fidelity acquisition
of biosignals, both acutely and in the long term. However, recording quality is highly variable …
of biosignals, both acutely and in the long term. However, recording quality is highly variable …
The impact of head movements on EEG and contact impedance: An adaptive filtering solution for motion artifact reduction
V Mihajlović, S Patki… - 2014 36th annual …, 2014 - ieeexplore.ieee.org
Designing and developing a comfortable and convenient EEG system for daily usage that
can provide reliable and robust EEG signal, encompasses a number of challenges. Among …
can provide reliable and robust EEG signal, encompasses a number of challenges. Among …