The Use of Smart Rings in Health Monitoring—A Meta-Analysis DOI Creative Commons
Matteo Fiore, Alessandro Bianconi,

Gaia Sicari

et al.

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(23), P. 10778 - 10778

Published: Nov. 21, 2024

Smart Rings (SRs) are user-friendly devices capable of measuring various health parameters, making them suitable for remote continuous monitoring in diverse clinical settings. Since the available evidence on accuracy SRs recording data is highly heterogeneous, this systematic review, conducted accordance with PRISMA guidelines, searched articles evaluating efficacy sleep, respiratory, and cardiovascular across PubMed, SCOPUS, ProQuest databases. Meta-analyses were outcomes evaluated at least three studies a comparable study population design, same comparison device. Nineteen included: eleven analyses focused sleep quality, eight one oxygen saturation. Studies analysing found good heart rate (HR) mean bias −0.4 bpms (limits agreement (LoAs): −2.7; 1.8). The meta-analyses showed variability SRs’ total time (mean bias: −21.3 min, LoAs: −69.9, 27.4) REM duration −18.2 −33.3, −3.1). results highlighted promising potential HR monitoring. Further research needed to clarify reliability quality their use directed broader range parameters. With further development, could become valuable tools healthcare professionals.

Language: Английский

Recent Advances in Vehicle Driver Health Monitoring Systems DOI Creative Commons
Lauris Melders, Ruslans Šmigins, Aivars Birkavs

et al.

Sensors, Journal Year: 2025, Volume and Issue: 25(6), P. 1812 - 1812

Published: March 14, 2025

The need for creative solutions in the real-time monitoring of health is rapidly increasing, especially light incidents relation to drivers motor vehicles. A sensor-based system provides an integrated mechanism diagnosing and managing real time, enabling detection, prediction, recommendation treatment prevention disease onset. driver’s represents a significant advancement assurance driver safety well-being. From fitness trackers advanced biosensors, these devices have not only made healthcare more accessible but also transformed how people interact with their data. purpose this scoping review systematically collect evaluate information from publications on systems provide comprehensive overview current state research wearable or remote sensor technologies monitoring. It aims identify knowledge gaps that be addressed suggest future directions will help fill gaps. This approach involves topic vehicle contribute field. By focusing parameters automotive context, highlights potential different types bridge gap between safety.

Language: Английский

Citations

0
Impact of work instruction difficulty on cognitive load and operational efficiency DOI Creative Commons
Abdulrahman K. Eesee, Vera Varga, György Eigner

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: April 1, 2025

Abstract As industries progress toward integrating more complex technologies within Industry 4.0 frameworks, ensuring work instructions that balance cognitive load and performance is increasingly critical, especially under the human-centric principles of 5th industrial revolution. Drawing on Cognitive Load Theory (CLT), this study compares two instructional methods-visual-based code-based-to determine whether overload can be reduced without compromising task outcomes in a controlled, assembly-like scenario derived from tasks. We recruited 30 participants academic field (students researchers), who completed assembly tasks both visual-based code-based instructions. was measured objectively by (Galvanic Skin Response, Heart Rate Variability, hand motion acceleration) subjectively through (NASA Task Index, short Dundee Stress State Questionnaire). Operational efficiency assessed via completion time (TCT), number repetitions (NTR), precision based standard deviation. The findings demonstrated significantly with $$p-value <0.001$$ . It also showed an improvement metrics during use for TCT NTR $$p-values However, although increased load, they better < 0.001$$ These results suggest while simple direct facilitate execution reduce loads, deep thinking approaches may still hold value requiring high precision.

Language: Английский

Citations

0
Recent Progress in Biosensors for Depression Monitoring—Advancing Personalized Treatment DOI Creative Commons

Jiaju Yin,

Xinyuan Jia,

Haorong Li

et al.

Biosensors, Journal Year: 2024, Volume and Issue: 14(9), P. 422 - 422

Published: Aug. 30, 2024

Depression is currently a major contributor to unnatural deaths and the healthcare burden globally, patient's battle with depression often long one. Because causes, symptoms, effects of medications are complex highly individualized, early identification personalized treatment key improving outcomes. The development wearable electronics, machine learning, other technologies in recent years has provided more possibilities for realization this goal. Conducting regular monitoring through biosensing technology allows comprehensive objective analysis than previous self-evaluations. This includes identifying depressive episodes, distinguishing somatization analyzing etiology, evaluating effectiveness programs. review summarizes research on depression. Special attention given that can be portable or wearable, potential enable patient use outside hospital, periods.

Language: Английский

Citations

1
The Use of Smart Rings in Health Monitoring—A Meta-Analysis DOI Creative Commons
Matteo Fiore, Alessandro Bianconi,

Gaia Sicari

et al.

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(23), P. 10778 - 10778

Published: Nov. 21, 2024

Smart Rings (SRs) are user-friendly devices capable of measuring various health parameters, making them suitable for remote continuous monitoring in diverse clinical settings. Since the available evidence on accuracy SRs recording data is highly heterogeneous, this systematic review, conducted accordance with PRISMA guidelines, searched articles evaluating efficacy sleep, respiratory, and cardiovascular across PubMed, SCOPUS, ProQuest databases. Meta-analyses were outcomes evaluated at least three studies a comparable study population design, same comparison device. Nineteen included: eleven analyses focused sleep quality, eight one oxygen saturation. Studies analysing found good heart rate (HR) mean bias −0.4 bpms (limits agreement (LoAs): −2.7; 1.8). The meta-analyses showed variability SRs’ total time (mean bias: −21.3 min, LoAs: −69.9, 27.4) REM duration −18.2 −33.3, −3.1). results highlighted promising potential HR monitoring. Further research needed to clarify reliability quality their use directed broader range parameters. With further development, could become valuable tools healthcare professionals.

Language: Английский

Citations

0