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A clinical and technical methodological review on stress detection and sleep quality prediction in an academic environment
J Medikonda - Computer methods and programs in biomedicine, 2023 - Elsevier
Background Mental health in recent times is a much talked about topic and its effects on the
sleep health of the students are said to result in long-term health issues if not identified and …
sleep health of the students are said to result in long-term health issues if not identified and …
[HTML][HTML] A predictive analysis of heart rates using machine learning techniques
Heart disease, caused by low heart rate, is one of the most significant causes of mortality in
the world today. Therefore, it is critical to monitor heart health by identifying the deviation in …
the world today. Therefore, it is critical to monitor heart health by identifying the deviation in …
Managing perceived loneliness and social-isolation levels for older adults: a survey with focus on wearables-based solutions
As an inevitable process, the number of older adults is increasing in many countries
worldwide. Two of the main problems that society is being confronted with more and more, in …
worldwide. Two of the main problems that society is being confronted with more and more, in …
[HTML][HTML] Feasibility of wearable sensors to assess cognitive load during clinical performance: lessons learned and blueprint for success
Abstract Introduction Cognitive load (CogL) is increasingly recognized as an important
resource underlying operative performance. Current innovations in surgery aim to develop …
resource underlying operative performance. Current innovations in surgery aim to develop …
[HTML][HTML] Modeling sleep quality depending on objective actigraphic indicators based on machine learning methods
According to data from the World Health Organization and medical research centers, the
frequency and severity of various sleep disorders, including insomnia, are increasing …
frequency and severity of various sleep disorders, including insomnia, are increasing …
Development of an Intelligent System for the Monitoring and Diagnosis of the Well-Being
LG Machado-Jaimes, MR Bustamante-Bello… - Sensors, 2022 - mdpi.com
Today, society is more aware of their well-being and health, making wearable devices a new
and affordable way to track them continuously. Smartwatches allow access to daily vital …
and affordable way to track them continuously. Smartwatches allow access to daily vital …
A Novel Blockchain-Based IoT Data Provenance Model
S Sun, H Tang, R Du - 2022 2nd International Conference on …, 2022 - ieeexplore.ieee.org
Internet of Things (IoT) system provides personalized services to users by analyzing the
amount of data collected from billions of sensors. It is important to ensure the trustworthiness …
amount of data collected from billions of sensors. It is important to ensure the trustworthiness …
Error estimation of ultra-short heart rate variability parameters: effect of missing data caused by motion artifacts
Application of ultra–short Heart Rate Variability (HRV) is desirable in order to increase the
applicability of HRV features to wrist-worn wearable devices equipped with heart rate …
applicability of HRV features to wrist-worn wearable devices equipped with heart rate …
Decreased sample entropy during sleep-to-wake transition in sleep apnea patients
X Liang, J **ong, Z Cao, X Wang, J Li… - Physiological …, 2021 - iopscience.iop.org
Objective. This study aimed to prove that there is a sudden change in the human physiology
system when switching from one sleep stage to another and physical threshold-based …
system when switching from one sleep stage to another and physical threshold-based …
Personalized recognition of wake/sleep state based on the combined shapelets and K-means algorithm
D Geng, Z Qin, J Wang, Z Gao, N Zhao - Biomedical Signal Processing and …, 2022 - Elsevier
Background Sleep affects almost all aspects, including health, memory and quality of life. It
is important to distinguish wake/sleep correctly in sleep monitoring. Supervised recognition …
is important to distinguish wake/sleep correctly in sleep monitoring. Supervised recognition …