ArticleJMIR mHealth and uHealth2020
Smart Shirts for Monitoring Physiological Parameters: Scoping Review.
Article in JMIR mHealth and uHealth, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
16 citing papers in PubMed.
- A Speed-Dependent Assessment of E-Textile-Based Sensor Technology: Validity of the Prevayl Wearable Heart Rate Monitor.Sensors (Basel, Switzerland) · 2026Article
- Development and User-Centered Evaluation of Smart Systems for Loneliness Monitoring in Older Adults: Mixed Methods Study.Journal of medical Internet research · 2026Article
- A Novel Audio-Perception-Based Algorithm for Physiological Monitoring.Sensors (Basel, Switzerland) · 2025Article
- SenseRisc: An instrumented smart shirt for risk prevention in the workplace.Wearable technologies · 2025Article
- Review
- Sensor Selection for Tidal Volume Determination via Linear Regression-Impact of Lasso versus Ridge Regression.Sensors (Basel, Switzerland) · 2023Article
- Wearable and Portable Devices for Acquisition of Cardiac Signals while Practicing Sport: A Scoping Review.Sensors (Basel, Switzerland) · 2023Article
- Algorithm for Mobile Platform-Based Real-Time QRS Detection.Sensors (Basel, Switzerland) · 2023Article
- Characterisation and Quantification of Upper Body Surface Motions for Tidal Volume Determination in Lung-Healthy Individuals.Sensors (Basel, Switzerland) · 2023Article
- Recent Advancements in Emerging Technologies for Healthcare Management Systems: A Survey.Healthcare (Basel, Switzerland) · 2022Review
- Information Retrieval from Photoplethysmographic Sensors: A Comprehensive Comparison of Practical Interpolation and Breath-Extraction Techniques at Different Sampling Rates.Sensors (Basel, Switzerland) · 2022Article
- Textile-Based Sensors for Biosignal Detection and Monitoring.Sensors (Basel, Switzerland) · 2021Review
- Editorial: Health and Performance Assessment in Winter Sports.Frontiers in sports and active living · 2021Article
- An Iterative and Collaborative End-to-End Methodology Applied to Digital Mental Health.Frontiers in psychiatry · 2021Article
- Wearable technology to inform the prediction and diagnosis of cardiorespiratory events: a scoping review.PeerJ · 2021Article
- Features of a mobile health intervention to manage chronic obstructive pulmonary disease: a qualitative study.Therapeutic advances in respiratory diseaseArticle
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe recent trends of technological innovation and widescale digitization as potential solutions to challenges in health care, sports, and emergency service operations have led to the conception of smart textile technology. In health care, these smart textile systems present the potential to aid preventative medicine and early diagnosis through continuous, noninvasive tracking of physical and mental health while promoting proactive involvement of patients in their medical management. In areas such as sports and emergency response, the potential to provide comprehensive and simultaneous physiological insights across multiple body systems is promising. However, it is currently unclear what type of evidence exists surrounding the use of smart textiles for the monitoring of physiological outcome measures across different settings.
objectiveThis scoping review aimed to systematically survey the existing body of scientific literature surrounding smart textiles in their most prevalent form, the smart shirt, for monitoring physiological outcome measures.
methodsA total of 5 electronic bibliographic databases were systematically searched (Ovid Medical Literature Analysis and Retrieval System Online, Excerpta Medica database, Scopus, Cumulative Index to Nursing and Allied Health Literature, and SPORTDiscus). Publications from the inception of the database to June 24, 2019 were reviewed. Nonindexed literature relevant to this review was also systematically searched. The results were then collated, summarized, and reported.
resultsFollowing the removal of duplicates, 7871 citations were identified. On the basis of title and abstract screening, 7632 citations were excluded, whereas 239 were retrieved and assessed for eligibility. Of these, 101 citations were included in the final analysis. Included studies were categorized into four themes: (1) prototype design, (2) validation, (3) observational, and (4) reviews. Among the 101 analyzed studies, prototype design was the most prevalent theme (50/101, 49.5%), followed by validation (29/101, 28.7%), observational studies (21/101, 20.8%), and reviews (1/101, 0.1%). Presented prototype designs ranged from those capable of monitoring one physiological metric to those capable of monitoring several simultaneously. In 29 validation studies, 16 distinct smart shirts were validated against reference technology under various conditions and work rates, including rest, submaximal exercise, and maximal exercise. The identified observational studies used smart shirts in clinical, healthy, and occupational populations for aims such as early diagnosis and stress detection. One scoping review was identified, investigating the use of smart shirts for electrocardiograph signal monitoring in cardiac patients.
conclusionsAlthough smart shirts have been found to be valid and reliable in the monitoring of specific physiological metrics, results were variable for others, demonstrating the need for further systematic validation. Analysis of the results has also demonstrated gaps in knowledge, such as a considerable lag of validation and observational studies in comparison with prototype design and limited investigation using smart shirts in pediatric, elite sports, and emergency service populations.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.