[HTML][HTML] Wireless EEG: A survey of systems and studies

G Niso, E Romero, JT Moreau, A Araujo, LR Krol - NeuroImage, 2023 - Elsevier
The popular brain monitoring method of electroencephalography (EEG) has seen a surge in
commercial attention in recent years, focusing mostly on hardware miniaturization. This has …

Sensing with earables: A systematic literature review and taxonomy of phenomena

T Röddiger, C Clarke, P Breitling… - Proceedings of the …, 2022 - dl.acm.org
Earables have emerged as a unique platform for ubiquitous computing by augmenting ear-
worn devices with state-of-the-art sensing. This new platform has spurred a wealth of new …

Automated seizure detection using wearable devices: a clinical practice guideline of the International League Against Epilepsy and the International Federation of …

S Beniczky, S Wiebe, J Jeppesen, WO Tatum… - Clinical …, 2021 - Elsevier
The objective of this clinical practice guideline (CPG) is to provide recommendations for
healthcare personnel working with patients with epilepsy, on the use of wearable devices for …

Seizure diaries and forecasting with wearables: epilepsy monitoring outside the clinic

BH Brinkmann, PJ Karoly, ES Nurse… - Frontiers in …, 2021 - frontiersin.org
It is a major challenge in clinical epilepsy to diagnose and treat a disease characterized by
infrequent seizures based on patient or caregiver reports and limited duration clinical …

[HTML][HTML] The use of wearable technology in providing assistive solutions for mental well-being

R Alhejaili, A Alomainy - Sensors, 2023 - mdpi.com
The main goal of this manuscript is to provide an extensive literature review and analysis of
certain biomarkers, which are frequently used to identify stress, anxiety, and other emotions …

Machine learning-based EEG signals classification model for epileptic seizure detection

Aayesha, MB Qureshi, M Afzaal, MS Qureshi… - Multimedia Tools and …, 2021 - Springer
The detection of epileptic seizures by classifying electroencephalography (EEG) signals into
ictal and interictal classes is a demanding challenge, because it identifies the seizure and …

A review of wearable and unobtrusive sensing technologies for chronic disease management

Y Guo, X Liu, S Peng, X Jiang, K Xu, C Chen… - Computers in Biology …, 2021 - Elsevier
With the rapidly increasing number of patients with chronic disease, numerous recent
studies have put great efforts into achieving long-term health monitoring and patient …

The future of wearable EEG: A review of ear-EEG technology and its applications

N Kaongoen, J Choi, JW Choi, H Kwon… - Journal of neural …, 2023 - iopscience.iop.org
Objective. This review paper provides a comprehensive overview of ear-
electroencephalogram (EEG) technology, which involves recording EEG signals from …

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 …