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      Recommendations for determining the validity of consumer wearable heart rate devices: expert statement and checklist of the INTERLIVE Network

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          Abstract

          Assessing vital signs such as heart rate (HR) by wearable devices in a lifestyle-related environment provides widespread opportunities for public health related research and applications. Commonly, consumer wearable devices assessing HR are based on photoplethysmography (PPG), where HR is determined by absorption and reflection of emitted light by the blood. However, methodological differences and shortcomings in the validation process hamper the comparability of the validity of various wearable devices assessing HR. Towards Intelligent Health and Well-Being: Network of Physical Activity Assessment (INTERLIVE) is a joint European initiative of six universities and one industrial partner. The consortium was founded in 2019 and strives towards developing best-practice recommendations for evaluating the validity of consumer wearables and smartphones. This expert statement presents a best-practice validation protocol for consumer wearables assessing HR by PPG. The recommendations were developed through the following multi-stage process: (1) a systematic literature review based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses, (2) an unstructured review of the wider literature pertaining to factors that may introduce bias during the validation of these devices and (3) evidence-informed expert opinions of the INTERLIVE Network. A total of 44 articles were deemed eligible and retrieved through our systematic literature review. Based on these studies, a wider literature review and our evidence-informed expert opinions, we propose a validation framework with standardised recommendations using six domains: considerations for the target population, criterion measure, index measure, testing conditions, data processing and the statistical analysis. As such, this paper presents recommendations to standardise the validity testing and reporting of PPG-based HR wearables used by consumers. Moreover, checklists are provided to guide the validation protocol development and reporting. This will ensure that manufacturers, consumers, healthcare providers and researchers use wearables safely and to its full potential.

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          Most cited references123

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          STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT

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            Measuring agreement in method comparison studies

            Agreement between two methods of clinical measurement can be quantified using the differences between observations made using the two methods on the same subjects. The 95% limits of agreement, estimated by mean difference +/- 1.96 standard deviation of the differences, provide an interval within which 95% of differences between measurements by the two methods are expected to lie. We describe how graphical methods can be used to investigate the assumptions of the method and we also give confidence intervals. We extend the basic approach to data where there is a relationship between difference and magnitude, both with a simple logarithmic transformation approach and a new, more general, regression approach. We discuss the importance of the repeatability of each method separately and compare an estimate of this to the limits of agreement. We extend the limits of agreement approach to data with repeated measurements, proposing new estimates for equal numbers of replicates by each method on each subject, for unequal numbers of replicates, and for replicated data collected in pairs, where the underlying value of the quantity being measured is changing. Finally, we describe a nonparametric approach to comparing methods.
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              Importance of Assessing Cardiorespiratory Fitness in Clinical Practice: A Case for Fitness as a Clinical Vital Sign: A Scientific Statement From the American Heart Association

              Circulation, 134(24)
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                Author and article information

                Journal
                Br J Sports Med
                Br J Sports Med
                bjsports
                bjsm
                British Journal of Sports Medicine
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                0306-3674
                1473-0480
                July 2021
                4 January 2021
                : 55
                : 14
                : 767-779
                Affiliations
                [1 ] departmentInstitute of Cardiovascular Research and Sports Medicine, Department of Molecular and Cellular Sports Medicine , German Sport University Cologne , Cologne, Germany
                [2 ] departmentDepartment of Sports Medicine , Norwegian School of Sport Sciences , Oslo, Norway
                [3 ] departmentDepartment of Sports Science and Clinical Biomechanics, Research Unit for Exercise Epidemiology, Centre of Research in Childhood Health , University of Southern Denmark , Odense, Denmark
                [4 ] departmentExercise and Health Laboratory, CIPER, Faculdade de Motricidade Humana , Universidade de Lisboa , Lisboa, Portugal
                [5 ] departmentCIDEFES - Centro de Investigação em Desporto, Educação Física e Exercício e Saúde , Universidade Lusófona , Lisboa, Portugal
                [6 ] departmentPROFITH “PROmoting FITness and Health through physical activity” Research Group, Sport and Health University Research Institute (iMUDS), Department of Physical and Sports Education, Faculty of Sport Sciences , University of Granada , Granada, Spain
                [7 ] departmentSFI Insight Centre for Data Analytics , University College Dublin , Dublin, Ireland
                [8 ] departmentSchool of Public Health, Physiotherapy and Sports Science , University College Dublin , Dublin, Ireland
                [9 ] departmentExercise and Health Laboratory, CIPER, Faculdade de Motricidade Humana , Universidade de Lisboa , Lisboa, Cruz-Quebrada Dafundo, Portugal
                [10 ] departmentDepartment of Biosciences and Nutrition , Karolinska Institute , Stockholm, Sweden
                [11 ] departmentExercise Translational Medicine Centre, the Key Laboratory of Systems Biomedicine, Ministry of Education, and Exercise, Health and Technology Centre, Department of Physical Education , Shanghai Jiao Tong University , Shanghai, China
                Author notes
                [Correspondence to ] Dr Moritz Schumann, Institute of Cardiovascular Research and Sports Medicine, Department of Molecular and Cellular Sports Medicine, German Sport University Cologne, Koln 50858, Germany; m.schumann@ 123456dshs-koeln.de
                Author information
                http://orcid.org/0000-0001-9983-6403
                http://orcid.org/0000-0003-2791-258X
                http://orcid.org/0000-0001-6888-0997
                http://orcid.org/0000-0003-0525-6577
                http://orcid.org/0000-0002-6230-6027
                http://orcid.org/0000-0003-2001-1121
                http://orcid.org/0000-0003-0290-9587
                http://orcid.org/0000-0003-2115-9267
                http://orcid.org/0000-0001-6718-3022
                http://orcid.org/0000-0001-9605-3489
                Article
                bjsports-2020-103148
                10.1136/bjsports-2020-103148
                8273688
                33397674
                383d1208-a58f-4fcf-a26c-359599a110d4
                © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

                This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.

                History
                : 24 November 2020
                Funding
                Funded by: Portuguese Foundation for Science and Technology;
                Award ID: SFRH/BPD/115977/2016
                Funded by: FundRef http://dx.doi.org/10.13039/501100001602, Science Foundation Ireland;
                Award ID: 12/RC/2289_P2
                Funded by: MINECO/FEDER;
                Award ID: DEP2016‐79512‐R
                Funded by: European Research Council Grant;
                Award ID: grant number 716657
                Funded by: Huawei Technologies Co. Ltd., Finland;
                Funded by: Private Stiftung Ewald Marquardt für Wissenschaft und Technik, Kunst und Kultur;
                Funded by: Research Council of Norway;
                Award ID: 249932/F20
                Funded by: University of Granada, Plan Propio de Investigación 2016, Excellence actions: Units of Excellence; Scientific Excellence Unit on Exercise and Health (UCEES); Junta de Andalucía, Consejería de Conocimiento, Investigación y Universidades and European Regional Development Funds;
                Award ID: ref. SOMM17/6107/UGR
                Funded by: FundRef http://dx.doi.org/10.13039/501100007437, TrygFonden;
                Award ID: grant number 310081
                Categories
                Consensus Statement
                1506
                2314
                Custom metadata
                unlocked

                Sports medicine
                public health,consensus statement,sports medicine,sports and exercise medicine,cardiology

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