1. bookVolume 7 (2015): Issue 1 (January 2015)
Journal Details
License
Format
Journal
eISSN
2080-2234
First Published
06 Apr 2009
Publication timeframe
1 time per year
Languages
English
access type Open Access

An investigation into a contactless photoplethysmographic mobile application to record heart rate post-exercise: Implications for field testing

Published Online: 11 Aug 2015
Volume & Issue: Volume 7 (2015) - Issue 1 (January 2015)
Page range: -
Journal Details
License
Format
Journal
eISSN
2080-2234
First Published
06 Apr 2009
Publication timeframe
1 time per year
Languages
English
Summary

Study aim: the aim of this study was to compare the accuracy of a contactless photoplethysmographic mobile application (CPA) to record post-exercise heart rate and estimate maximal aerobic capacity after the Queen’s College Step Test. It was hypothesised that the CPA may present a cost effective heart rate measurement tool for educators and practitioners with limited access to specialised laboratory equipment.

Materials and Methods: seventeen participants (eleven males and six females, 28 ± 9 years, 75.5 ± 15.5 kg, 173.6 ± 9.8 cm) had their heart rate measured immediately after the 3-min test simultaneously using the CPA, a wireless heart rate monitor (HRM) and manually via palpation of the radial artery (MAN).

Results: both the CPA and MAN measurements had high variance compared to the HRM (CV = 31 and 11% respectively, ES = 1.79 and 0.65 respectively), and there were no significant correlations between the methods. Maximal oxygen consumption was estimated 17% higher in CPA compared to HRM (p < 0.001).

Conclusions: in conclusion it is recommended that field practitioners should exercise caution and assess the accuracy of new freely available technologies if they are to be used in practice.

Keywords

1. Abdossaleh Z., Ahmadi F. (2013) Assessment of the Validity of Queens Step Test for Estimation Maximum Oxygen Uptake (VO2 max). Int. J. Sport Stud., 3: 617-622.Search in Google Scholar

2. Anderssen S.A., Cooper A.R., Riddoch C., Sardinha L.B., Harro M., Brage S., Andersen L.B. (2007) Low cardiorespiratory fitness is a strong predictor for clustering of cardiovascular disease risk factors in children independent of country, age and sex. Eur. J. Cardio. Prev. Rehab., 14: 526-531.Search in Google Scholar

3. Bandyopadhyay A. (2007) Queen’s College Step Test – an Alternative of Harvard Step Test in Young Indian Men. Int. J. Appl. Sport Sci., 19: 1-6.Search in Google Scholar

4. Bell J.M., Bassey E.J. (1996) Postexercise heart rates and pulse palpation as a means of determining exercising intensity in an aerobic dance class. Brit. J. Sport Med., 30: 48-52.Search in Google Scholar

5. Esco M.R., Mugu E.M., Williford H.N., McHugh A.N., Bloomquist B.E. (2011) Cross-validation of the polar fitness test TM via the polar f11 heart rate monitor in predicting vo2 max. J. Ex. Phys. Online, 24: 5-1.Search in Google Scholar

6. Garner R.T., Wagner D.R. (2013) Validity of Certified Trainer-Palpated and Exercise-Palpated Post-Exercise Heart Rate. J. Ex. Phys. Online, 16.Search in Google Scholar

7. Gregorski M.J., Mueller M., Vertegel A., Shaporev A., Jackson B.B., Frnezel R.M., Sprehn S.M., Treiber F.A. (2012) Development and validation of a smartphone heart rate acquisition application for health promotion and wellness telehealth applications. Int. J. Telemed. Applic., 12: 1-7Search in Google Scholar

8. Goodie J.L., Larkin K.T., Schauss S. (2000) Validation of Polar heart rate monitor for assessing heart rate during physical and mental stress. J. Psychophysiol., 14: 159-164.Search in Google Scholar

9. Ho C.L., Fu Y.C., Lin M.C., et al. (2014) Smartphone applications (apps) for heart rate measurement in children: comparison with electrocardiography monitor. Ped. Cardiol., 35: 726-731.Search in Google Scholar

10. Kong L., Zhao Y., Dong L., Chan S.C., Hwang B., Jan S.L. (2013) Non-contact detection of oxygen saturation based on visible light imaging device using ambient light. Opt. Express., 21: 17464-17471.Search in Google Scholar

11. Laukkanen R., Virtanen P. (1998) Heart rate monitors – State of the art. J. Sport Sci., 16: 3-7.Search in Google Scholar

12. Nunan D., Jakovljevic D.G., Donovan G., Hodges L.D., Sandercock G.R., Brodie D.A. (2008) Levels of agreement for RR intervals and short-term heart rate variability obtained from the Polar S810 and an alternative system. Eur. J. Appl. Physiol., 103: 529-537.10.1007/s00421-008-0742-618427831Search in Google Scholar

13. Peart D.J., Shaw M.P., Rowley C.G. (2014) Validity of freely available mobile applications for recording resting heart rate. Ann. Bio. Res., 5: 11-15.Search in Google Scholar

14. Poh M.Z., McDuff D.J., Picard R.W. (2010) Non-contact, automated cardiac pulse measurements using video imaging and blind source separation. Opt. Express, 18: 10762-10774.10.1364/OE.18.01076220588929Search in Google Scholar

15. Scully C.G., Lee J., Meyer J., Gorbach A.M., Granquist-Fraser D., Mendelson Y., Chon K.H. (2012) Physiological Parameter Monitoring from Optical Recordings With a Mobile Phone. IEEE T Bio-Med. Eng., 59: 303.Search in Google Scholar

16. Tolmunen T., Laukkanen J.A., Hintikka J., Kurl S. Viinamäki H. Salonen R. Kauhanen J., Kaplan G.A., Salonen J.T. (2006) Low maximal oxygen uptake is associated with elevated depressive symptoms in middle-aged men. Eur. J. Epidemiol., 21: 701-706.Search in Google Scholar

17. Vanderlei L.C.M., Silva R.A., Pastre C.M., Azevedo, F.M.D, Godoy M.F. (2008) Comparison of the Polar S810i monitor and the ECG for the analysis of heart rate variability in the time and frequency domains. Braz. J. Med. Biol. Res., 41: 854-859.Search in Google Scholar

18. Wackel P., Beerman L., West L., Arora G. (2014) Tachycardia detection using smartphone applications in pediatric patients. J. Ped., 164: 1133-1135. Search in Google Scholar

Recommended articles from Trend MD

Plan your remote conference with Sciendo