[HTML][HTML] Towards integration of artificial intelligence into medical devices as a real-time recommender system for personalised healthcare: State-of-the-art and future …
In the era of big data, artificial intelligence (AI) algorithms have the potential to revolutionize
healthcare by improving patient outcomes and reducing healthcare costs. AI algorithms …
healthcare by improving patient outcomes and reducing healthcare costs. AI algorithms …
[HTML][HTML] Novel statistical time series data augmentation and machine learning based classification of unobtrusive respiration data for respiration Digital Twin model
Digital Twin (DT), a concept of Healthcare (4.0), represents the subject's biological
properties and characteristics in a digital model. DT can help in monitoring respiratory …
properties and characteristics in a digital model. DT can help in monitoring respiratory …
Measurement and Quantification of Stress in the Decision Process: A Model-Based Systematic Review
C Su, M Zangeneh Soroush… - Intelligent …, 2024 - spj.science.org
This systematic literature review comprehensively assesses the measurement and
quantification of decisional stress using a model-based, theory-driven approach. It adopts a …
quantification of decisional stress using a model-based, theory-driven approach. It adopts a …
Predicting stress in first-year college students using sleep data from wearable devices
LSP Bloomfield, MI Fudolig, J Kim, J Llorin… - PLOS Digital …, 2024 - journals.plos.org
Consumer wearables have been successful at measuring sleep and may be useful in
predicting changes in mental health measures such as stress. A key challenge remains in …
predicting changes in mental health measures such as stress. A key challenge remains in …
ANN-Based Reliability Enhancement of SMPS Aluminum Electrolytic Capacitors in Cold Environments
S Jeong, AB Kareem, S Song, JW Hur - Energies, 2023 - mdpi.com
Due to their substantial energy density and economical pricing, switching-mode power
supplies (SMPSs) often utilize electrolytic capacitors. However, their ability to function at low …
supplies (SMPSs) often utilize electrolytic capacitors. However, their ability to function at low …
Development of a polymeric optical fiber sensor for stress estimation: A comparative analysis between physiological sensors
The global prevalence of stress and its far-reaching impact on well-being has spurred the
pursuit of innovative solutions for physiological and stress monitoring. Existing methods …
pursuit of innovative solutions for physiological and stress monitoring. Existing methods …
LSTM-Powered COVID-19 prediction in central Thailand incorporating meteorological and particulate matter data with a multi-feature selection approach
The COVID-19 pandemic has significantly impacted public health and necessitated urgent
actions to mitigate its spread. Monitoring and predicting the outbreak's progression have …
actions to mitigate its spread. Monitoring and predicting the outbreak's progression have …
Disentangled global and local features of multi-source data variational autoencoder: An interpretable model for diagnosing IgAN via multi-source Raman spectral …
A single Raman spectrum reflects limited molecular information. Effective fusion of the
Raman spectra of serum and urine source domains helps to obtain richer feature …
Raman spectra of serum and urine source domains helps to obtain richer feature …
Real Time Worker Stress Prediction in a Smart Factory Assembly Line
This research contributes to a innovative approach to address the increasing issues of
workplace mental health and stress, particularly in high-pressure environments like …
workplace mental health and stress, particularly in high-pressure environments like …
A Novel Method for Mental Stress Assessment Based on Heart Rate Variability Analysis of Electrocardiogram Signals
SK Saini, R Gupta - Wireless Personal Communications, 2024 - Springer
Mental stress and associated heart disorders are some of the considerable causes of death
in India and globally, as reported by the World Health Organization (WHO). The long-term …
in India and globally, as reported by the World Health Organization (WHO). The long-term …