Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: Dec 2, 2024
Open Peer Review Period: Dec 2, 2024 - Jan 27, 2025
Date Accepted: Jan 7, 2025
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

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

Kukreti S, Lu MT, Yeh CY, Ko NY

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

J Med Internet Res 2025;27:e69506

DOI: 10.2196/69506

PMID: 40137051

PMCID: 11982746

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

  • Shikha Kukreti; 
  • Meng-Ting Lu; 
  • Chun-Yin Yeh; 
  • Nai-Ying Ko

ABSTRACT

Background:

Wearable technology has evolved in managing COVID-19, offering early monitoring of key physiological parameters. However, the role of wearables in tracking and managing Long COVID is less understood and requires further exploration their potential. This review assessed the application and effectiveness of wearable devices in managing Long COVID symptoms, focusing on commonly used sensors and their potential for improving long-term patient care.

Objective:

This review assessed the application and effectiveness of wearable devices in managing Long COVID symptoms, focusing on commonly used sensors and their potential for improving long-term patient care.

Methods:

A literature search was conducted across databases including PubMed, Embase, Web of Science, and Cochrane Central, adhering to PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) reporting guidelines. The search was updated regularly throughout 2024. Abstract and full text screening and selection were facilitated using Rayyan. Quality appraisal was conducted using the JBI critical appraisal tool to ensure the methodological rigor of the included studies. Data were extracted on study characteristics, wearable devices, sensors used, and monitored physiological parameters, and the results were synthesized in a narrative format.

Results:

A total of 1,186 articles were identified, and after duplicate removal and screening, 15 studies were initially included, with 11 studies meeting the criteria for final data synthesis. The included studies varied in design, ranging from observational to interventional trials, and involved sample sizes from 3 to 17,667 participants across different countries. Ten different wearable devices were used to monitor Long COVID symptoms, capturing key metrics such as HRV, body temperature, sleep, and physical activity. Smartwatches were the most used wearable devices and fitness trackers with ECG and PPG sensors were employed to monitor heart rate, oxygen saturation, and respiratory rate. Of the 10 devices, 4 were FDA-approved, emphasizing the reliability and validation of the physiological data collected. Studies were primarily conducted in the USA and Europe, reflecting significant regional research interest in wearable technology for Long COVID management.

Conclusions:

This review highlights the potential of wearable technology in providing continuous and personalized monitoring for Long COVID patients. While wearables show promise in tracking persistent symptoms, further research is needed to improve usability, validate long-term efficacy, and enhance patient engagement. Clinical Trial: n/a


 Citation

Please cite as:

Kukreti S, Lu MT, Yeh CY, Ko NY

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

J Med Internet Res 2025;27:e69506

DOI: 10.2196/69506

PMID: 40137051

PMCID: 11982746

Download PDF


Request queued. Please wait while the file is being generated. It may take some time.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.