Physiological Sensors Equipped in Wearable Devices for Management of Long COVID Persisting Symptoms: Scoping Review

Journal 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

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Influence of Gestational Age on Pelvic Floor Muscle Activity, Plantar Contact, and Functional Mobility in High-Risk Pregnant Women: A Cross-Sectional Study

Sensors, Journal Year: 2024, Volume and Issue: 24(14), P. 4615 - 4615

Published: July 17, 2024

During pregnancy, biomechanical changes are observed due to hormonal and physical modifications, which can lead alterations in the curvature of spine, balance, gait patterns, functionality pelvic floor muscles. This study aimed investigate progressive impact that occur during gestational weeks on myoelectric activity muscles, plantar contact area, functional mobility high-risk pregnant women.

Language: Английский

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Clinical and Functional Effects of Rehabilitation of Patients after COVID-19 Infection

Journal of Clinical Medicine, Journal Year: 2024, Volume and Issue: 13(11), P. 3257 - 3257

Published: May 31, 2024

Abstract: Background/Objectives: The most common post-acute consequences of SARS-CoV-2 include lung dysfunction, the impairment cognitive functions and mental health, as well musculoskeletal system in form fatigue muscle weakness. Post-COVID-19 patients often experience impaired balance reduced physical capacity. It is important to implement a rehabilitation program that eliminates side effects COVID-19 allows for significant improvement patient’s functionality. aim our study was assess patient functionality after 6-week on balance, foot pressure distribution, capacity post-COVID-19 patients. Methods: clinical group consisted 53 people 3 months infection, confirmed by positive PCR test. Exclusion from included with comorbidities gait. underwent posturographic assessment—Romberg test, baropodometric assessment—static dynamic, performance assessment—a 6 min walk test determining shortness breath mMRC scale, blood pressure, heart rate, saturation. Patients participated until sixth week, which they were assessed again. Comparisons made using IBM SPSS Statistics 27.0 software Wilcoxon pairwise order at significance level p < 0.05. Results: result postural control assessment showed an ability maintain centre gravity terms support area—statistical decreases observed ellipse area, 745.28 mm2 453.52 (p = 0.009), maximum (from 3133.5 gr/cm2 2994.2 gr/cm2; 0.065) average load left 1010.1 969.38 0.028). In before exercise, rate decreased therapy (shortness scale also 79.12 74.95). This means achieved better fitness efficiency. Conclusions: Rehabilitation significantly improved measured decrease area during Romberg

Language: Английский

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The Tinetti Balance Test Is an Effective Predictor of Functional Decline in Non-Hospitalized Post-COVID-19 Individuals: A Cross-Sectional Study

Journal of Clinical Medicine, Journal Year: 2024, Volume and Issue: 13(21), P. 6626 - 6626

Published: Nov. 4, 2024

Background/Objectives: Individuals with post-COVID-19 conditions risk developing short- and/or long-term neuromuscular impairments, including postural imbalance. However, there is limited evidence showing whether balance deficits are associated declines in the functional status individuals. This study examined non-hospitalized individuals using different assessment tools and tested most relevant predicting status. Methods: cross-sectional enrolled 60 adults split into control (n = 30) groups. Postural was assessed both groups Functional Reach Test (FRT), Berg Balance Scale (BBS), Timed Up Go (TUG), Tinetti (Tinetti), Mini-BESTest (MBT). group (PCFS). Results: Significant differences stability between were found only for FRT. All tests showed a statistically significant correlation PCFS group, better performance all being status: (r −0.584), FRT −0.542), MBT −0.530), BBS −0.415) TUG 0.368). independent variable that significantly played an important role determining (adjusted R2 0.318, p < 0.001). Conclusions: Post-COVID-19 best determined by Test, making it effective tool assessing this population, potential implications rehabilitation.

Language: Английский

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Smartphone-Based Balance Assessment Using Machine Learning

Published: July 15, 2024

This study explores the potential of smartphones to objectively assess balance, which is crucial for elderly and individuals recovering from various medical conditions. We propose an innovative methodology estimate Modified Clinical Test Sensory Interaction on Balance (m-CTSIB) scores using accelerometer sensor a smartphone coupled with machine learning techniques. Our dataset consists 28 participants, aged 21 88 years. Notably, XGBOOST algorithm demonstrates strong correlation (0.92) ground truth balance scores. These are obtained force plate system collected simultaneously data, ensuring precise reliable comparisons. offers objective, accessible, convenient means assessment, greatly facilitating at-home monitoring enhancing remote health monitoring. findings underscore method's reliability impact telemedicine patient care, offering notable improvements in quality life.

Language: Английский

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Physiological Sensors Equipped in Wearable Devices for Management of Long COVID Persisting Symptoms: Scoping Review (Preprint)

Published: Dec. 2, 2024

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. This review assessed application effectiveness wearable devices symptoms, focusing on commonly used sensors potential for improving long-term patient care. 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. 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. highlights providing continuous personalized patients. Although show promise persistent needed improve usability, validate efficacy, enhance engagement.

Language: Английский

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