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2015 | 7 | 1 |
Tytuł artykułu

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

Treść / Zawartość
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
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.
Słowa kluczowe
Wydawca
Rocznik
Tom
7
Numer
1
Opis fizyczny
Daty
online
2015-08-11
Twórcy
  • Sport and Biosciences, University Centre, North Lindsey College, Scunthorpe, UK
  • Sport and Biosciences, University Centre, North Lindsey College, Scunthorpe, UK
  • Sport and Biosciences, University Centre, North Lindsey College, Scunthorpe, UK
Bibliografia
  • 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.
  • 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.
  • 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.
  • 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.[Crossref]
  • 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.
  • 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.
  • 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: 1-7
  • 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.[Crossref]
  • 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.
  • 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.[WoS][Crossref]
  • 11. Laukkanen R., Virtanen P. (1998) Heart rate monitors – State of the art. J. Sport Sci., 16: 3-7.[Crossref]
  • 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.[WoS]
  • 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.
  • 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.[WoS][Crossref]
  • 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.[Crossref][WoS]
  • 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.[Crossref]
  • 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.
  • 18. Wackel P., Beerman L., West L., Arora G. (2014) Tachycardia detection using smartphone applications in pediatric patients. J. Ped., 164: 1133-1135.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.-psjd-doi-10_1515_bhk-2015-0015
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