Published: Dec. 2, 2024
Language: Английский
Published: Dec. 2, 2024
Language: Английский
Nature Materials, Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 3, 2025
Language: Английский
Citations
2Journal of Medical Internet Research, Journal Year: 2025, Volume and Issue: 27, P. e69506 - e69506
Published: March 26, 2025
Background Wearable technology has evolved in managing COVID-19, offering early monitoring of key physiological parameters. However, the role wearables tracking and long COVID is less understood requires further exploration their potential. Objective This review assessed application effectiveness wearable devices symptoms, focusing on commonly used sensors potential for improving long-term patient care. Methods A literature search was conducted across databases including PubMed, Embase, Web Science, Cochrane Central, adhering to PRISMA-ScR (Preferred Reporting Items Systematic Reviews Meta-Analyses extension Scoping Reviews) reporting guidelines. The updated regularly throughout 2024. Abstract full-text screening selection were facilitated using Rayyan software developed by Qatar Computing Research Institute. Quality appraisal Joanna Briggs Institute (JBI) critical tool ensure methodological rigor included studies. Data extracted study characteristics, devices, used, monitored parameters, results synthesized a narrative format. Results total 1186 articles identified, after duplicate removal screening, 15 studies initially included, with 11 meeting criteria final data synthesis. varied design, ranging from observational interventional trials, involved sample sizes 3 17,667 participants different countries. In total, 10 monitor capturing metrics such as heart rate variability, body temperature, sleep, physical activity. Smartwatches most fitness trackers electrocardiography photoplethysmography rate, oxygen saturation, respiratory rate. Of 4 Food Drug Administration–approved, emphasizing reliability validation collected. Studies primarily United States Europe, reflecting significant regional research interest management. Conclusions highlights providing continuous personalized patients. Although show promise persistent needed improve usability, validate efficacy, enhance engagement.
Language: Английский
Citations
0Internet of Things, Journal Year: 2024, Volume and Issue: unknown, P. 101405 - 101405
Published: Oct. 1, 2024
Language: Английский
Citations
1ACS Sensors, Journal Year: 2024, Volume and Issue: unknown
Published: Dec. 16, 2024
Long COVID (LC) is a great global health concern, affecting individuals recovering from SARS-CoV-2 infection. The persistent and varied symptoms across multiple organs complicate diagnosis management, an incomplete understanding of the condition hinders advancements in therapeutics. Current diagnostic methods face challenges related to standardization completeness. To overcome this, new technologies such as sensor-based electronic noses are being explored for LC assessment, offering noninvasive screening approach via volatile organic compounds (VOC) sensing exhaled breath. Although specific LC-associated VOCs have not been fully characterized, insights COVID-19 research suggest their potential biomarkers. Additionally, AI-driven chemometrics promising identifying predicting outcomes; despite challenges, hold enhance evaluation, providing rapid accurate diagnostics improved patient care outcomes. This review underscores importance emerging comprehensive strategies address treatment LC.
Language: Английский
Citations
1Published: Dec. 2, 2024
Language: Английский
Citations
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