Capacitive biopotential measurement for electrophysiological signal acquisition: A review

Y Sun, XB Yu - IEEE Sensors Journal, 2016 - ieeexplore.ieee.org
A conventional clinical biopotential measurement system requires the use of wet electrodes
that are in contact with skin using conductive gel. Those systems can acquire high-quality …

Smartwatch-based wearable EEG system for driver drowsiness detection

G Li, BL Lee, WY Chung - IEEE Sensors Journal, 2015 - ieeexplore.ieee.org
Driver drowsiness is a major cause of mortality in traffic accidents worldwide. Many
physiological signals have been proposed to detect driver drowsiness. Among these …

[HTML][HTML] A robust and efficient EEG-based drowsiness detection system using different machine learning algorithms

IA Fouad - Ain Shams engineering journal, 2023 - Elsevier
Vehicle accidents on long routes around the world are frequently caused by drowsy drivers.
It is mainly because there is no system that measures alertness. The driver will be notified to …

Evolution of a capacitive electromyography contactless biosensor: Design and modelling techniques

CL Ng, MBI Reaz - Measurement, 2019 - Elsevier
Musculoskeletal disorders (MSDs) and ergonomic issues have long-term impacts on the
human body, affecting patient health and the world's economy. To address these issues …

Biosensor technologies for augmented brain–computer interfaces in the next decades

LD Liao, CT Lin, K McDowell… - Proceedings of the …, 2012 - ieeexplore.ieee.org
The study of brain-computer interfaces (BCIs) has undergone 30 years of intense
development and has grown into a rich and diverse field. BCIs are technologies that enable …

A context-aware EEG headset system for early detection of driver drowsiness

G Li, WY Chung - Sensors, 2015 - mdpi.com
Driver drowsiness is a major cause of mortality in traffic accidents worldwide.
Electroencephalographic (EEG) signal, which reflects the brain activities, is more directly …

[HTML][HTML] Dry electrode geometry optimization for wearable ECG devices

PFM Elango, SS Dhanabalan, MR Robel… - Applied Physics …, 2023 - pubs.aip.org
Wearable electronic devices, particularly for health monitoring, have seen rapid
advancements in recent times. Among the various biophysical parameters that are of interest …

A single-channel SSVEP-based BCI speller using deep learning

TH Nguyen, WY Chung - IEEE Access, 2018 - ieeexplore.ieee.org
This paper aims to develop a speller system based on a bipolar single-channel
electroencephalogram with sufficient accuracy. The proposed system consists of a custom …

Automated drowsiness detection through wavelet packet analysis of a single EEG channel

TLT da Silveira, AJ Kozakevicius… - Expert Systems with …, 2016 - Elsevier
Advances in materials engineering, electronic circuits, sensors, signal processing and
classification techniques have allowed computational systems to interpret biological …

Ultra-high input impedance, low noise integrated amplifier for noncontact biopotential sensing

YM Chi, C Maier… - IEEE Journal on Emerging …, 2011 - ieeexplore.ieee.org
Noncontact electrocardiogram/electroencephalogram/<? Pub _bookmark="" Command="
Quick Mark"?> electromyogram electrodes, which operate primarily through capacitive …