EEG-based brain-computer interfaces (BCIs): A survey of recent studies on signal sensing technologies and computational intelligence approaches and their …

X Gu, Z Cao, A Jolfaei, P Xu, D Wu… - … /ACM transactions on …, 2021 - ieeexplore.ieee.org
Brain-Computer interfaces (BCIs) enhance the capability of human brain activities to interact
with the environment. Recent advancements in technology and machine learning algorithms …

Recent advances in wearable sensors and portable electronics for sleep monitoring

S Kwon, H Kim, WH Yeo - Iscience, 2021 - cell.com
Despite the increasing awareness of the importance of sleep, the number of people suffering
from insufficient sleep has increased every year. The gold-standard sleep assessment uses …

Large-area MRI-compatible epidermal electronic interfaces for prosthetic control and cognitive monitoring

L Tian, B Zimmerman, A Akhtar, KJ Yu… - Nature biomedical …, 2019 - nature.com
Skin-interfaced medical devices are critically important for diagnosing disease, monitoring
physiological health and establishing control interfaces with prosthetics, computer systems …

[HTML][HTML] A survey on wearable technology: History, state-of-the-art and current challenges

A Ometov, V Shubina, L Klus, J Skibińska, S Saafi… - Computer Networks, 2021 - Elsevier
Technology is continually undergoing a constituent development caused by the appearance
of billions new interconnected “things” and their entrenchment in our daily lives. One of the …

An Ultra‐Thin MXene Film for Multimodal Sensing of Neuroelectrical Signals with Artifacts Removal

D Song, X Li, M Jang, Y Lee, Y Zhai, W Hu… - Advanced …, 2023 - Wiley Online Library
Neuroelectrical signals transmitted onto the skin tend to decay to an extremely weak level,
making them highly susceptible to interference from the environment and body movement …

At-home wireless sleep monitoring patches for the clinical assessment of sleep quality and sleep apnea

S Kwon, HS Kim, K Kwon, H Kim, YS Kim, SH Lee… - Science …, 2023 - science.org
Although many people suffer from sleep disorders, most are undiagnosed, leading to
impairments in health. The existing polysomnography method is not easily accessible; it's …

Detection of train driver fatigue and distraction based on forehead EEG: a time-series ensemble learning method

C Fan, Y Peng, S Peng, H Zhang… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Train driver fatigue and distraction are the main reasons for railway accidents. One of the
new technologies to monitor drivers is by using the EEG signals, which provides vital signs …

Diversity and suitability of the state-of-the-art wearable and wireless EEG systems review

C He, YY Chen, CR Phang… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Wireless electroencephalography (EEG) systems have been attracting increasing attention
in recent times. Both the number of articles discussing wireless EEG and their proportion …

Design of hydrogel-based wearable EEG electrodes for medical applications

JC Hsieh, Y Li, H Wang, M Perz, Q Tang… - Journal of Materials …, 2022 - pubs.rsc.org
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 …

Sensors for context-aware smart healthcare: A security perspective

E Batista, MA Moncusi, P López-Aguilar… - Sensors, 2021 - mdpi.com
The advances in the miniaturisation of electronic devices and the deployment of cheaper
and faster data networks have propelled environments augmented with contextual and real …