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Personalized health services are of paramount importance for the treatment and prevention of cardiorespiratory diseases, such as hypertension. The assessment of cardiorespiratory function and biometric identification (ID...

This dataset comprises physiological signals recorded via a wearable device (Empatica E4) during structured acute stress induction and both aerobic and anaerobic exercise sessions. Collected metrics include blood volume ...

Background: Wearable electrocardiography (ECG) devices such as smartwatches offer a novel means for detecting cardiac arrhythmias, particularly atrial fibrillation (AF), and ST-segment abnormalities. Their role in comple...

Consumer wearables increasingly provide users with Composite Health Scores (CHS) – integrated biometric indices that claim to quantify readiness, recovery, stress, or overall well-being. Despite their growing adoption...

To assess the effects of a wearable-sensor-assisted multicomponent exercise program on physical fitness, cognition and quality of life in a practical setting involving frail older adults.

In a recent study, Prof. Rui Min and collaborators published their paper in the journal of Opto-Electronic Science that is entitled "Smart photonic wristband for pulse wave monitoring". The paper introduces novel realiza...

The effects of post-deposition heat treatment on the microstructure and mechanical properties of boron nitride thin films deposited on 316L stainless steel substrates via radio frequency magnetron sputteringwere investig...

Arrays of photodetector-based pixel sensors are ubiquitous in modern devices, such as smart phone cameras, automobiles, drones, laptops etc. Two-dimensional (2D) material-based photodetector arrays are a relevant candida...

The implementation of compact fiber-coupled light sources and devices represents a highly sought through technological goal, in wearable technologies, point-of-care units, telecommunication, and even quantum technology. ...

"Falls pose a significant health risk to older adults, often resulting in serious injuries and reduced independence. This study explored two machine learning approaches for detecting falls using data from wearable sensor...

"El estrés es un fenómeno que afecta a toda la población y que puede tener un impacto negativo en la salud si no es gestionado adecuadamente. Un monitoreo continuo del estrés implementado en sistemas portátiles podr...