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      Validation of a Wearable Sensor Prototype for Measuring Heart Rate to Prescribe Physical Activity: Cross-Sectional Exploratory Study

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          Abstract

          Background

          Wearable sensors are rapidly evolving, particularly in health care, due to their ability to facilitate continuous or on-demand physiological monitoring.

          Objective

          This study aimed to design and validate a wearable sensor prototype incorporating photoplethysmography (PPG) and long-range wide area network technology for heart rate (HR) measurement during a functional test.

          Methods

          We conducted a transversal exploratory study involving 20 healthy participants aged between 20 and 30 years without contraindications for physical exercise. Initially, our laboratory developed a pulse wearable sensor prototype for HR monitoring. Following this, the participants were instructed to perform the Incremental Shuttle Walk Test while wearing the Polar H10 HR chest strap sensor (the reference for HR measurement) and the wearable sensor. This test allowed for real-time comparison of HR responses between the 2 devices. Agreement between these measurements was determined using the intraclass correlation coefficient (ICC 3.1) and Lin concordance correlation coefficient. The mean absolute percentage error was calculated to evaluate reliability or validity. Cohen d was used to calculate the agreement’s effect size.

          Results

          The mean differences between the Polar H10 and the wearable sensor during the test were –2.6 (95% CI –3.5 to –1.8) for rest HR, –4.1 (95% CI –5.3 to –3) for maximum HR, –2.4 (95% CI –3.5 to –1.4) for mean test HR, and –2.5 (95% CI –3.6 to –1.5) for mean recovery HR. The mean absolute percentage errors were –3% for rest HR, –2.2% for maximum HR, –1.8% for mean test HR, and –1.6% for recovery HR. Excellent agreement was observed between the Polar H10 and the wearable sensor for rest HR (ICC 3.1=0.96), mean test HR (ICC 3.1=0.92), and mean recovery HR (ICC 3.1=0.96). The agreement for maximum HR (ICC 3.1=0.78) was considered good. By the Lin concordance correlation coefficient, the agreement was found to be substantial for rest HR ( r c=0.96) and recovery HR ( r c=0.96), moderate for mean test HR ( r c=0.92), and poor for maximum HR ( r c=0.78). The power of agreement between the Polar H10 and the wearable sensor prototype was large for baseline HR (Cohen d=0.97), maximum HR (Cohen d=1.18), and mean recovery HR (Cohen d=0.8) and medium for mean test HR (Cohen d= 0.76).

          Conclusions

          The pulse-wearable sensor prototype tested in this study proves to be a valid tool for monitoring HR at rest, during functional tests, and during recovery compared with the Polar H10 reference device used in the laboratory setting.

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          Most cited references42

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          A Guideline of Selecting and Reporting Intraclass Correlation Coefficients for Reliability Research.

          Intraclass correlation coefficient (ICC) is a widely used reliability index in test-retest, intrarater, and interrater reliability analyses. This article introduces the basic concept of ICC in the content of reliability analysis.
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            An official European Respiratory Society/American Thoracic Society technical standard: field walking tests in chronic respiratory disease.

            Field walking tests are commonly employed to evaluate exercise capacity, assess prognosis and evaluate treatment response in chronic respiratory diseases. In recent years, there has been a wealth of new literature pertinent to the conduct of the 6-min walk test (6MWT), and a growing evidence base describing the incremental and endurance shuttle walk tests (ISWT and ESWT, respectively). The aim of this document is to describe the standard operating procedures for the 6MWT, ISWT and ESWT, which can be consistently employed by clinicians and researchers. The Technical Standard was developed by a multidisciplinary and international group of clinicians and researchers with expertise in the application of field walking tests. The procedures are underpinned by a concurrent systematic review of literature relevant to measurement properties and test conduct in adults with chronic respiratory disease. Current data confirm that the 6MWT, ISWT and ESWT are valid, reliable and responsive to change with some interventions. However, results are sensitive to small changes in methodology. It is important that two tests are conducted for the 6MWT and ISWT. This Technical Standard for field walking tests reflects current evidence regarding procedures that should be used to achieve robust results.
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              Statistical methods for assessing agreement between two methods of clinical measurement

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                Author and article information

                Contributors
                Journal
                JMIR Biomed Eng
                JMIR Biomed Eng
                JMBE
                JMIR Biomedical Engineering
                JMIR Publications (Toronto, Canada )
                2561-3278
                2024
                11 December 2024
                : 9
                : e57373
                Affiliations
                [1 ] Graduate Program of Rehabilitation Sciences Universidade Federal de Ciências da Saúde de Porto Alegre - UFCSPA Porto Alegre Brazil
                [2 ] Undergraduate Course of Medicine Universidade Federal de Ciências da Saúde de Porto Alegre Porto Alegre Brazil
                [3 ] Department of Physical Therapy Universidade Federal de Ciências da Saúde de Porto Alegre - UFCSPA Porto Alegre Brazil
                [4 ] Graduate Program in Computing Sciences Universidade do Vale do Rio do Sinos - UNISINOS Porto Alegre Brazil
                [5 ] Institute of Informatics Universidade Federal do Rio Grande do Sul - UFRGS Porto Alegre Brazil
                Author notes
                Corresponding Author: Pedro Dal Lago pdallago@ 123456ufcspa.edu.br
                Author information
                https://orcid.org/0000-0003-0504-4953
                https://orcid.org/0009-0001-5325-5846
                https://orcid.org/0000-0002-1453-6223
                https://orcid.org/0000-0001-6184-9495
                https://orcid.org/0000-0002-0998-3002
                https://orcid.org/0000-0002-9776-4888
                https://orcid.org/0000-0002-6275-6503
                https://orcid.org/0000-0002-7906-5899
                https://orcid.org/0000-0001-9907-7689
                Article
                v9i1e57373
                10.2196/57373
                11669869
                39661434
                d9c77f4c-41c3-4e60-b9c9-6444eb95a500
                ©Fernanda Laís Loro, Riane Martins, Janaína Barcellos Ferreira, Cintia Laura Pereira de Araujo, Lucio Rene Prade, Cristiano Bonato Both, Jéferson Campos Nobre Nobre, Mariane Borba Monteiro, Pedro Dal Lago. Originally published in JMIR Biomedical Engineering (http://biomsedeng.jmir.org), 11.12.2024.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Biomedical Engineering, is properly cited. The complete bibliographic information, a link to the original publication on https://biomedeng.jmir.org/, as well as this copyright and license information must be included.

                History
                : 14 February 2024
                : 26 April 2024
                : 20 June 2024
                : 28 October 2024
                Categories
                Original Paper
                Original Paper

                heart rate,wearable device,hr,biosensor,physiological monitor,wearable system,medical device,mobile phone

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