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 …

[HTML][HTML] Sustaining the healthcare systems through the conceptual of biomedical engineering: A study with recent and future potentials

M Javaid, A Haleem, RP Singh, R Suman - Biomedical Technology, 2023 - Elsevier
Biomedical engineering is an interdisciplinary branch of engineering & technology that
combines biomedical sciences with engineering principles. This discipline covers broad …

Wearable device-based system to monitor a driver's stress, fatigue, and drowsiness

M Choi, G Koo, M Seo, SW Kim - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
This paper proposes a wearable device-based system to monitor the abnormal conditions of
a driver, including stress, fatigue, and drowsiness. The system measures the motional and …

A portable wearable tele-ECG monitoring system

H Ozkan, O Ozhan, Y Karadana… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
This paper introduces a wearable Tele-ECG and heart rate (HR) monitoring system which
has a novel architecture including a stretchable singlet redesigned with textile electrodes …

Polyp-Net: A multimodel fusion network for polyp segmentation

D Banik, K Roy, D Bhattacharjee… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Computer-aided diagnosis of disease primarily depends on proper vision-based
measurement (VBM). The traditional approach followed for diagnosis of colorectal cancer …

Interpretation and classification of arrhythmia using deep convolutional network

P Singh, A Sharma - IEEE Transactions on Instrumentation and …, 2022 - ieeexplore.ieee.org
Electrocardiogram (ECG) signal analysis can be time-consuming, tedious, and error-prone.
Therefore, automated analysis is need of time that will assist clinicians in detecting cardiac …

Assessment of the potential of wrist-worn wearable sensors for driver drowsiness detection

T Kundinger, N Sofra, A Riener - Sensors, 2020 - mdpi.com
Drowsy driving imposes a high safety risk. Current systems often use driving behavior
parameters for driver drowsiness detection. The continuous driving automation reduces the …

DTCoach: your digital twin coach on the edge during COVID-19 and beyond

RG Díaz, F Laamarti, A El Saddik - IEEE Instrumentation & …, 2021 - ieeexplore.ieee.org
A Digital Twin (DT) is a digital replica of a living or non-living entity, called “real twin.” Data is
collected from the real twin and analyzed using Artificial Intelligence (AI), which …

Automated sleep stage scoring using time-frequency spectra convolution neural network

P Jadhav, S Mukhopadhyay - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Sleep stage scoring is fundamental for the examination and analysis of sleep problems.
Sleep experts score sleep by analyzing brain activity, muscle activity, and eye activity …

A knowledge-based approach for multiagent collaboration in smart home: From activity recognition to guidance service

Y Zhang, G Tian, S Zhang, C Li - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Smart home (SH) as an emerging paradigm for alleviating the overstretched healthcare
resources, and enhancing the quality of life has received increasing attention. While the …