Advertisement

Reliability of smartphone measurements of vital parameters: A prospective study using a reference method

Published:March 16, 2019DOI:https://doi.org/10.1016/j.ajem.2019.03.021

      Abstract

      Objective

      In this study, we aimed to evaluate the accuracy of HR and SaO2 data obtained using a smartphone compared with the measurements of a vital signs monitor (VSM) and an arterial blood gas (ABG) device, respectively.

      Material and methods

      In this single-center prospective study, the HR and SaO2 measurements were performed using the built-in sensor and light source of a Samsung Galaxy S8 smartphone and compared to the results of VSM and ABG device. The Bland-Altman analysis was used to evaluate and visualize the agreement between the methods.

      Results

      The data of 101 patients were analyzed. There was a high correlation between HR measured by smartphone and HR measured by VSM [P < 0.0001; 0.9918 (95% CI = 0.987–0.994)]. In addition, the SaO2 values obtained by smartphone were highly correlated with those by ABG (P < 0.0001; 0.968 (95% CI = 0.952–0.978)).

      Conclusion

      The HR and SaO2 values obtained by smartphone were found to be consistent with the measurements of the reference devices. With the growing use of smartphone technology in the health field, we foresee that patients will be able to make their own triage assessment before presenting to the hospital.
      To read this article in full you will need to make a payment
      One-time access price info
      • For academic or personal research use, select 'Academic and Personal'
      • For corporate R&D use, select 'Corporate R&D Professionals'

      Subscribe:

      Subscribe to The American Journal of Emergency Medicine
      Already a print subscriber? Claim online access
      Already an online subscriber? Sign in
      Institutional Access: Sign in to ScienceDirect

      References

        • Meyer-Sabellek W.
        • Schulte K.L.
        • Gotzen R.
        Non-invasive ambulatory blood pressure monitoring: technical possibilities and problems.
        J Hypertens Suppl. 1990; 8: 3-10
        • Yıldız S.
        • Bilgili N.
        Evaluating individual characteristics and applications of elderly patients presented to emergency service.
        Gazi Sağlık Bilimleri Dergisi. 2016; 1: 15-31
        • Wootton R.
        Twenty years of telemedicine in chronic disease management - an evidence synthesis.
        J Telemed Telecare. 2012; 18: 211-220
        • Garde A.
        • Zhou G.
        • Raihana S.
        • Dunsmiur D.
        • Karlen W.
        • Dekhordi P.
        • et al.
        Respiratory rate and pulse oximetry derived information as predictors of hospital admission in young children in Bangladesh: a prospective observational study.
        BMJ Open. 2016; 6e011094
        • Cortez N.G.
        • Cohen I.G.
        • Kesselheim J.S.
        FDA regulation of mobile health technologies.
        N Engl J Med. 2014; 371: 372-379
        • Bruining N.
        • Caiani E.
        • Chronaki C.
        • Guzik P.
        • van der Velde E.
        Task force of the e-cardiology working. Acquisition and analysis of cardiovascular signals on smartphones: potential, pitfalls and perspectives: by the task force of the e-cardiology working group of European Society of Cardiology.
        Eur J Prev Cardiol. 2014; 21: 4-13
        • Zeserson E.
        • Goodgame B.
        • Hess J.D.
        • Schultz K.
        • Hoon C.
        • Lamb K.
        • et al.
        Correlation of venous blood gas and pulse oximetry with arterial blood gas in the undifferentiated critically ill patient.
        J Intensive Care Med. 2018; 33: 176-181
        • Teare M.D.
        • Dimairo M.
        • Shephard N.
        • Hayman A.
        • Whitehead A.
        • Walters S.J.
        Sample size requirements to estimate key design parameters from external pilot randomised controlled trials: a simulation study.
        Trials. 2014; 15264
        • Chen Y.H.
        • Chen H.H.
        • Chen T.C.
        • Chen L.G.
        Robust heart rate measurement with phonocardiogram by on-line template extraction and matching.
        Conf Proc IEEE Eng Med Biol Soc. 2011; : 1957-1960
        • Kim J.M.
        • Arakawa K.
        • Benson K.T.
        • Fox D.K.
        Pulse oximetry and circulatory kinetics associated with pulse volume amplitude measured by photoelectric plethysmography.
        Anesth Analg. 1986; 65: 1333-1339
        • Coppetti T.
        • Brauchlin A.
        • Muggler S.
        • Attinger T.A.
        • Templin C.
        • Schonrath F.
        • et al.
        Accuracy of smartphone apps for heart rate measurement.
        Eur J Prev Cardiol. 2017; 24: 1287-1293
        • Tomlinson S.
        • Behrmann S.
        • Cranford J.
        • Louie M.
        • Hashikawa A.
        Accuracy of smartphone-based pulse oximetry compared with hospital-grade pulse oximetry in healthy children.
        Telemed J E Health. 2018; 24: 1-7
        • Ho C.L.
        • Fu Y.C.
        • Lin M.C.
        • Chan S.C.
        • Hwang B.
        • Jan S.L.
        Smartphone applications for heart rate measurement in children: comparison with electrocardiography monitor.
        Pediatr Cardiol. 2014; 35: 726-731
        • Alexander J.C.
        • Minhajuddin A.
        • Joshi G.P.
        Comparison of smartphone application-based vital sign monitors without external hardware versus those used in clinical practice: a prospective trial.
        J Clin Monit Comput. 2017; 31: 825-831