[HTML][HTML] Stress monitoring using wearable sensors: a pilot study and stress-predict dataset
With the recent advancements in the field of wearable technologies, the opportunity to
monitor stress continuously using different physiological variables has gained significant …
monitor stress continuously using different physiological variables has gained significant …
Exploring biomarkers of mental flexibility in healthy aging: a computational psychometric study
Mental flexibility (MF) has long been defined as cognitive flexibility. Specifically, it has been
mainly studied within the executive functions domain. However, there has recently been …
mainly studied within the executive functions domain. However, there has recently been …
Unified quality-aware compression and pulse-respiration rates estimation framework for reducing energy consumption and false alarms of wearable PPG monitoring …
Due to the high demands of tiny, compact, lightweight, and low-cost photoplethysmogram
(PPG) monitoring devices, these devices are resource-constrained including limited battery …
(PPG) monitoring devices, these devices are resource-constrained including limited battery …
Improved stress classification using automatic feature selection from heart rate and respiratory rate time signals
Time-series features are the characteristics of data periodically collected over time. The
calculation of time-series features helps in understanding the underlying patterns and …
calculation of time-series features helps in understanding the underlying patterns and …
A comprehensive study of human factors, sensory principles, and commercial solutions for future human-centered working operations in industry 5.0
The purpose of this study is to explore the measurement of human factors in the workplace
that can provide critical insights into workers' well-being. Human factors refer to physical …
that can provide critical insights into workers' well-being. Human factors refer to physical …
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 …
[HTML][HTML] Diagnosis of Community-Acquired pneumonia in children using photoplethysmography and Machine learning-based classifier
This paper presents a novel approach for diagnosing Community-Acquired Pneumonia
(CAP) in children using single-channel photoplethysmography (PPG) using machine …
(CAP) in children using single-channel photoplethysmography (PPG) using machine …
Estimation of respiratory rate from functional near-infrared spectroscopy (fNIRS): a new perspective on respiratory interference
Objective: Respiration is recognized as a systematic physiological interference in functional
near-infrared spectroscopy (fNIRS). However, it remains unanswered as to whether it is …
near-infrared spectroscopy (fNIRS). However, it remains unanswered as to whether it is …
Review of Stress Detection Methods Using Wearable Sensors
Stress is a significant factor that affects well-being and health. Factors that trigger stress
include work, social interactions, and economic and environmental factors. Stress may …
include work, social interactions, and economic and environmental factors. Stress may …
An ex vivo study of wireless linkage distance between implantable LC resonance sensor and external readout coil
The wireless monitoring of key physiological parameters such as heart rate, respiratory rate,
temperature, and pressure can aid in preventive healthcare, early diagnosis, and patient …
temperature, and pressure can aid in preventive healthcare, early diagnosis, and patient …