Fatigue monitoring through wearables: A state-of-the-art review

NR Adão Martins, S Annaheim, CM Spengler… - Frontiers in …, 2021 - frontiersin.org
The objective measurement of fatigue is of critical relevance in areas such as occupational
health and safety as fatigue impairs cognitive and motor performance, thus reducing …

Potential applications of mobile and wearable devices for psychological support during the COVID-19 pandemic: A review

K Ueafuea, C Boonnag, T Sudhawiyangkul… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
The coronavirus disease 19 (COVID-19) pandemic that has been raging in 2020 does affect
not only the physical state but also the mental health of the general population, particularly …

SleepPoseNet: Multi-view learning for sleep postural transition recognition using UWB

M Piriyajitakonkij, P Warin, P Lakhan… - IEEE Journal of …, 2020 - ieeexplore.ieee.org
Recognizing movements during sleep is crucial for the monitoring of patients with sleep
disorders, and the utilization of ultra-wideband (UWB) radar for the classification of human …

Sensor-driven achieving of smart living: A review

P Leelaarporn, P Wachiraphan, T Kaewlee… - IEEE Sensors …, 2021 - ieeexplore.ieee.org
This comprehensive review mainly analyzes and summarizes the recently published works
on IEEExplore in sensor-driven smart living contexts. We have gathered over 150 research …

[HTML][HTML] Integrated approach using deep neural network and CBR for detecting severity of coronary artery disease

V Sapra, L Sapra, A Bhardwaj, S Bharany… - Alexandria Engineering …, 2023 - Elsevier
Despite major diagnostic progress and treatment progress, cardiovascular diseases (CVD)
continue to be the world's leading cause of disease and mortality. Artificial intelligence …

Development and validation of a deep learning model to diagnose COVID‐19 using time‐series heart rate values before the onset of symptoms

H Chung, H Ko, H Lee, DK Yon, WH Lee… - Journal of Medical …, 2023 - Wiley Online Library
One of the effective ways to minimize the spread of COVID‐19 infection is to diagnose it as
early as possible before the onset of symptoms. In addition, if the infection can be simply …

Machine learning approaches for screening the risk of obstructive sleep apnea in the Taiwan population based on body profile

CY Tsai, WT Liu, YT Lin, SY Lin… - Informatics for Health …, 2022 - Taylor & Francis
ABSTRACT (a) Objective: Obstructive sleep apnea syndrome (OSAS) is typically diagnosed
through polysomnography (PSG). However, PSG incurs high medical costs. This study …

Context-Aware Edge-Based AI Models for Wireless Sensor Networks—An Overview

AA Al-Saedi, V Boeva, E Casalicchio, P Exner - Sensors, 2022 - mdpi.com
Recent advances in sensor technology are expected to lead to a greater use of wireless
sensor networks (WSNs) in industry, logistics, healthcare, etc. On the other hand, advances …

Use of wearable devices in the teaching-learning process: a systematic review of the literature

LD Glasserman-Morales, M Carlos-Arroyo… - Frontiers in …, 2023 - frontiersin.org
Multimodal learning analytics (MMLA) has emerged as an encompassing approach to data
collection, facilitating the analysis of student interactions across a variety of resources …

Smart Sleep Monitoring: Sparse Sensor-Based Spatiotemporal CNN for Sleep Posture Detection

D Hu, W Gao, KK Ang, M Hu, G Chuai… - Sensors (Basel …, 2024 - pmc.ncbi.nlm.nih.gov
Sleep quality is heavily influenced by sleep posture, with research indicating that a supine
posture can worsen obstructive sleep apnea (OSA) while lateral postures promote better …