Stress Monitoring Using Machine Learning, IoT and Wearable Sensors

AA Al-Atawi, S Alyahyan, MN Alatawi, T Sadad… - Sensors, 2023 - mdpi.com
The Internet of Things (IoT) has emerged as a fundamental framework for interconnected
device communication, representing a relatively new paradigm and the evolution of the …

[HTML][HTML] StresSense: real-Time detection of stress-displaying behaviors

NS Khan, S Qadir, G Anjum, N Uddin - International Journal of Medical …, 2024 - Elsevier
Background Wrist-worn gadgets like smartphones are ideal for unobtrusively gathering user
data, in various fields such as health and fitness monitoring, communication, and …

A Residual-Dense-Based Convolutional Neural Network Architecture for Recognition of Cardiac Health Based on ECG Signals

AES Ahmed, Q Abbas, Y Daadaa, I Qureshi, G Perumal… - Sensors, 2023 - mdpi.com
Cardiovascular disorders are often diagnosed using an electrocardiogram (ECG). It is a
painless method that mimics the cyclical contraction and relaxation of the heart's muscles …

Unsupervised Bayesian change point detection model to track acute stress responses

HH Shishavan, E Gossett, J Bi, R Henning… - … Signal Processing and …, 2024 - Elsevier
Understanding the complex nature of stress and its physiological manifestations stands as a
longstanding pursuit in modern psychology and healthcare. The limitation of existing deep …

Integrating Wearable Textiles Sensors and IoT for Continuous sEMG Monitoring

BB Etana, B Malengier, J Krishnamoorthy… - Sensors, 2024 - mdpi.com
Surface electromyography is a technique used to measure the electrical activity of muscles.
sEMG can be used to assess muscle function in various settings, including clinical …

Piezoelectric-electromagnetic motion monitoring device with identification capability and motion pattern recognition function

L Sun, L He, Q Li, X Li, B Yu, B Yang - IEEE Sensors Journal, 2024 - ieeexplore.ieee.org
In order to improve the applicability of wearable devices in the field of human motion
recognition and expand their applicability in the upper limbs. This paper proposed a …

Infection prevention and early warning in neonatal intensive care unit based on physiological sensor monitoring

C Tang, F Lei, J Liu, F Gong - Frontiers in Bioengineering and …, 2023 - frontiersin.org
The infection rate in the Neonatal Intensive Care Unit (NICU) is very high, which is also one
of the important causes of morbidity and even death in critically ill neonates and premature …

[HTML][HTML] Revolutionizing stress-related disorder regulation through neuroinformatics and data analysis: An editorial

ASPM Arachchige, Y Verma - AIMS neuroscience, 2023 - ncbi.nlm.nih.gov
Revolutionizing stress-related disorder regulation through neuroinformatics and data analysis:
An editorial - PMC Back to Top Skip to main content NIH NLM Logo Access keys NCBI …

MAIPFE: An Efficient Multimodal Approach Integrating Pre-Emptive Analysis, Personalized Feature Selection, and Explainable AI.

MD Sirapangi, S Gopikrishnan - Computers, Materials & …, 2024 - search.ebscohost.com
Abstract Medical Internet of Things (IoT) devices are becoming more and more common in
healthcare. This has created a huge need for advanced predictive health modeling …

An Investigation into the Rise of Wearable Technologies in the Healthcare Sector

A Sharma, K Bijo, SP Manandhar, L Sharma - International Conference on …, 2024 - Springer
Wearable technologies and self-tracking healthcare apps are becoming increasingly
popular among people all over the world. Moreover, with the rapid increase in technological …