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Sağlıklı Genç Bireylerde Kalp Atım Hızı Ölçümü İçin Bir Mobil Uygulamanın Doğrulanması

Year 2021, Volume: 2 Issue: 2, 159 - 168, 30.08.2021

Abstract

Araştırmanın amacı farklı kalp atım hızı ölçme cihazlarının mobil uygulama olan Cardiio®
ile uyum düzeyinin
belirlenmesidir. Bu amaçla 10 gönüllü katılımcı (yaş:21,7±2.0 yıl, boy:176.-,0±11,1cm, vücut ağırlığı:66,9±10,5
kg) çalışmaya dahil olmuştur. Kesitsel araştırma modelinin kullanıldığı çalışmada katılımcılardan üçer kez
ölçüm alınmıştır. Pulse oksimetre, telemetrik göğüs bandı ve Cardiio®
uygulamasından elde edilen verilen
arasında fark olup olmadığını test etmek amacıyla SPSS 20.0 paket programı kullanılmıştır. Cardiio®
uygulamasının ölçümlerinin, telemetrik göğüs bandı ve pulse oksimetre ölçümlerinin ortalamalarının birbiri ile
uyum düzeyinin (güvenirlik) belirlenmesi için %95 güven aralığında sınıf içi korelasyon katsayısı (ICC) ve
Cronbach’s Alpha değeri kullanılmıştır. Cardiio®
ve pulse oksimetre ile Cardiio®
ve telemetrik göğüs bandı
ölçümlerinin arasında farklılık olup olmadığı tek örneklem T-testi ile analiz edilmiştir. Analiz sonucunda
istatistiksel farklılık olmadığı görülmüştür. Farklı ölçüm yöntemlerinin birbirleri arasındaki uyum değerlerini
bulabilmek için Bland-Altman grafiklerinden yararlanılmıştır. Bland-Altman grafik sonuçlarına göre ölçümler,
uyum düzeyi sınırlarında yer almaktadır. Sonuç olarak Cardiio®
uygulamasının, pulse oksimetre ve telemetrik
göğüs bandı ile tutarlı sonuçlar sergilediği görülmektedir.

References

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  • Akyıldız, Z. (2019). Antrenman yükü. CBÜ Beden Eğitimi ve Spor Bilimleri Dergisi, 14(2), 152-175.
  • Allen, J. (2007). Photoplethysmography and its application in clinical physiological measurement. Physiological measurement, 28(3), R1.
  • Bal U., Bal A. (2015). Temassiz fotopletismografi ile nabız kestiriminde hemoglobin seviyesinin etkisi. Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi, 17(50), 47-53.
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  • DeVellis, R. F. (2003). Scale development: Theory and applications (2nd ed.). Thousand Oaks, CA: Sage Publications. Gregoski, M. J., Mueller, M., Vertegel, A., Shaporev, A., Jackson, B. B., Frenzel, R. M., ... &
  • Treiber, F. A. (2012). Development and validation of a smartphone heart rate acquisition application for health promotion and wellness telehealth applications. International journal of telemedicine and applications, 2012.
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  • Jeukendrup, A., & Diemen, A. V. (1998). Heart rate monitoring during training and competition in cyclists. Journal of sports sciences, 16(sup1), 91-99.
  • Kamal, A. A. R., Harness, J. B., Irving, G., & Mearns, A. J. (1989). Skin photoplethysmography—A review. Computer methods and programs in biomedicine, 28(4), 257-269.
  • Karvonen, J., & Vuorimaa, T. (1988). Heart rate and exercise intensity during sports activities. Sports medicine, 5(5), 303-311.
  • Kline, R. B. (2005). Principles and practice of structural equation modeling (2nd ed.). New York: Guildford.
  • Koç, K. O., & Polat, K. (2017, October). MATLAB GUI design for heart rate monitoring using smart phone camera. In 2017 Medical Technologies National Congress (TIPTEKNO) (pp. 1-4). IEEE.
  • Kreps, G. L., & Neuhauser, L. (2010). New directions in eHealth communication: Opportunities and challenges. Patient education and counseling, 78(3), 329-336.
  • Lee, J., Reyes, B. A., McManus, D. D., Maitas, O., & Chon, K. H. (2012). Atrial fibrillation detection using an IPhone 4S. IEEE Transactions on Biomedical Engineering, 60(1), 203-206.
  • Papon, M. T. I., Ahmad, I., Saquib, N., & Rahman, A. (2015, January). Non-invasive heart rate measuring smartphone applications using on-board cameras: A short survey. In 2015 International Conference on Networking Systems and Security (NSysS) (pp. 1-6). IEEE.
  • Plews, D. J., Scott, B., Altini, M., Wood, M., Kilding, A. E., & Laursen, P. B. (2017). Comparison of heart-rate-variability recording with smartphone photoplethysmography, Polar H7 chest strap, and electrocardiography. International journal of sports physiology and performance, 12(10), 1324-1328.
  • Poh, M. Z., & Poh, Y. C. (2017). Validation of a standalone smartphone application for measuring heart rate using imaging photoplethysmography. Telemedicine and eHealth, 23(8), 678-683.
  • Scully, C. G., Lee, J., Meyer, J., Gorbach, A. M., Granquist-Fraser, D., Mendelson, Y., & Chon, K. H. (2011). Physiological parameter monitoring from optical recordings with a mobile phone. IEEE Transactions on Biomedical Engineering, 59(2), 303-306.
  • Singh, N., Prince, A., Chattopadhyay, S., Patra, R., & Mukherjee, B. (2018, December). Design of a real-time heart rate monitoring system using photoplethysmography and smartphone. In 2018 15th IEEE India Council International Conference (INDICON) (pp. 1-4). IEEE.
  • Siu, D., Wong, C. K., Chan, P. H., Poh, Y. K., & Poh, M. Z. (2016). Head-to-head comparison of a camera-based smartphone application Cardiio rhythmtm with alivecor® heart monitor for atrial fibrillation screening in primary healthcare setting. Journal of The American College of Cardiology, 67(13 Supplement), 696. Stone, J. D., Ulman, H. K., Tran, K., Thompson, A. G., Halter, M. D., Ramadan, J. H., ... &
  • Hagen, J. A. (2021). Assessing the accuracy of popular commercial technologies that measure resting heart rate and heart rate variability. Frontiers in Sports and Active Living, 3, 37.
  • Ugnell, H., & Öberg, P. Å. (1995). The time-variable photoplethysmographic signal; Dependence of the heart synchronous signal on wavelength and sample volume. Medical engineering & physics, 17(8), 571-578.
  • Utomo, T. P., & Nuryani, N. (2021, February). Photoplethysmogram peaks detection based on moving window integration and threshold for heart rate calculation on android smartphone. In Journal of Physics: Conference Series (Vol. 1825, No. 1, p. 012032). IOP Publishing.
  • Yan, B. P., Chan, C. K., Li, C. K., To, O. T., Lai, W. H., Tse, G., ... & Poh, M. Z. (2017). Resting and postexercise heart rate detection from fingertip and facial photoplethysmography using a smartphone camera: a validation study. JMIR mHealth and uHealth, 5(3), e7275.
  • Zou, G. Y. (2013). Confidence interval estimation for the Bland–Altman limits of agreement with multiple observations per individual. Statistical methods in medical research, 22(6), 630-642.
Year 2021, Volume: 2 Issue: 2, 159 - 168, 30.08.2021

Abstract

References

  • Achten, J., and Jeukendrup, A. E. (2003). Heart rate monitoring. Sports Med. 33, 517–538. Akansel N., Yıldız H., Pulse oksimetre değerlerinin güvenilir olması için neleri bilmeliyiz?, Türkiye Klinikleri J Anest Reanim, 8(1), 44-8, 2010
  • Akyıldız, Z. (2019). Antrenman yükü. CBÜ Beden Eğitimi ve Spor Bilimleri Dergisi, 14(2), 152-175.
  • Allen, J. (2007). Photoplethysmography and its application in clinical physiological measurement. Physiological measurement, 28(3), R1.
  • Bal U., Bal A. (2015). Temassiz fotopletismografi ile nabız kestiriminde hemoglobin seviyesinin etkisi. Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi, 17(50), 47-53.
  • Cook, S., Togni, M., Schaub, M. C., Wenaweser, P., & Hess, O. M. (2006). High heart rate: A cardiovascular risk factor?. European heart journal, 27(20), 2387-2393. Coppetti, T., Brauchlin, A., Müggler, S., Attinger-Toller, A., Templin, C., Schönrath, F., ... &
  • Wyss, C. A. (2017). Accuracy of smartphone apps for heart rate measurement. European journal of preventive cardiology, 24(12), 1287-1293. Craven R.F., Hirnle C.J., Monitoring with pulse oximetry, Fundamentals of Nursing, 4th ed. Philadelphia: Lippincot Company,pulse 2003. p. 821-3.
  • De Ridder, B., Van Rompaey, B., Kampen, J. K., Haine, S., & Dilles, T. (2018). Smartphone apps using photoplethysmography for heart rate monitoring: Meta-analysis. JMIR cardio, 2(1), e8802.
  • DeVellis, R. F. (2003). Scale development: Theory and applications (2nd ed.). Thousand Oaks, CA: Sage Publications. Gregoski, M. J., Mueller, M., Vertegel, A., Shaporev, A., Jackson, B. B., Frenzel, R. M., ... &
  • Treiber, F. A. (2012). Development and validation of a smartphone heart rate acquisition application for health promotion and wellness telehealth applications. International journal of telemedicine and applications, 2012.
  • GSMA Intelligence, The Mobile Economy 2021, Tech. Rep. Pp.4 (2021). https://www.gsma.com Http1: https://blogs.bmj.com/bjsm/2017/02/17/review-cardiio-app-accurately-measure-heartrate-rest-exercise-using-imaging-photoplethysmography/
  • Jeukendrup, A., & Diemen, A. V. (1998). Heart rate monitoring during training and competition in cyclists. Journal of sports sciences, 16(sup1), 91-99.
  • Kamal, A. A. R., Harness, J. B., Irving, G., & Mearns, A. J. (1989). Skin photoplethysmography—A review. Computer methods and programs in biomedicine, 28(4), 257-269.
  • Karvonen, J., & Vuorimaa, T. (1988). Heart rate and exercise intensity during sports activities. Sports medicine, 5(5), 303-311.
  • Kline, R. B. (2005). Principles and practice of structural equation modeling (2nd ed.). New York: Guildford.
  • Koç, K. O., & Polat, K. (2017, October). MATLAB GUI design for heart rate monitoring using smart phone camera. In 2017 Medical Technologies National Congress (TIPTEKNO) (pp. 1-4). IEEE.
  • Kreps, G. L., & Neuhauser, L. (2010). New directions in eHealth communication: Opportunities and challenges. Patient education and counseling, 78(3), 329-336.
  • Lee, J., Reyes, B. A., McManus, D. D., Maitas, O., & Chon, K. H. (2012). Atrial fibrillation detection using an IPhone 4S. IEEE Transactions on Biomedical Engineering, 60(1), 203-206.
  • Papon, M. T. I., Ahmad, I., Saquib, N., & Rahman, A. (2015, January). Non-invasive heart rate measuring smartphone applications using on-board cameras: A short survey. In 2015 International Conference on Networking Systems and Security (NSysS) (pp. 1-6). IEEE.
  • Plews, D. J., Scott, B., Altini, M., Wood, M., Kilding, A. E., & Laursen, P. B. (2017). Comparison of heart-rate-variability recording with smartphone photoplethysmography, Polar H7 chest strap, and electrocardiography. International journal of sports physiology and performance, 12(10), 1324-1328.
  • Poh, M. Z., & Poh, Y. C. (2017). Validation of a standalone smartphone application for measuring heart rate using imaging photoplethysmography. Telemedicine and eHealth, 23(8), 678-683.
  • Scully, C. G., Lee, J., Meyer, J., Gorbach, A. M., Granquist-Fraser, D., Mendelson, Y., & Chon, K. H. (2011). Physiological parameter monitoring from optical recordings with a mobile phone. IEEE Transactions on Biomedical Engineering, 59(2), 303-306.
  • Singh, N., Prince, A., Chattopadhyay, S., Patra, R., & Mukherjee, B. (2018, December). Design of a real-time heart rate monitoring system using photoplethysmography and smartphone. In 2018 15th IEEE India Council International Conference (INDICON) (pp. 1-4). IEEE.
  • Siu, D., Wong, C. K., Chan, P. H., Poh, Y. K., & Poh, M. Z. (2016). Head-to-head comparison of a camera-based smartphone application Cardiio rhythmtm with alivecor® heart monitor for atrial fibrillation screening in primary healthcare setting. Journal of The American College of Cardiology, 67(13 Supplement), 696. Stone, J. D., Ulman, H. K., Tran, K., Thompson, A. G., Halter, M. D., Ramadan, J. H., ... &
  • Hagen, J. A. (2021). Assessing the accuracy of popular commercial technologies that measure resting heart rate and heart rate variability. Frontiers in Sports and Active Living, 3, 37.
  • Ugnell, H., & Öberg, P. Å. (1995). The time-variable photoplethysmographic signal; Dependence of the heart synchronous signal on wavelength and sample volume. Medical engineering & physics, 17(8), 571-578.
  • Utomo, T. P., & Nuryani, N. (2021, February). Photoplethysmogram peaks detection based on moving window integration and threshold for heart rate calculation on android smartphone. In Journal of Physics: Conference Series (Vol. 1825, No. 1, p. 012032). IOP Publishing.
  • Yan, B. P., Chan, C. K., Li, C. K., To, O. T., Lai, W. H., Tse, G., ... & Poh, M. Z. (2017). Resting and postexercise heart rate detection from fingertip and facial photoplethysmography using a smartphone camera: a validation study. JMIR mHealth and uHealth, 5(3), e7275.
  • Zou, G. Y. (2013). Confidence interval estimation for the Bland–Altman limits of agreement with multiple observations per individual. Statistical methods in medical research, 22(6), 630-642.
There are 28 citations in total.

Details

Primary Language Turkish
Subjects Sports Training
Journal Section 2021 Cilt: 2 Sayı : 2
Authors

İzzet Kirkaya This is me

Celil Kaçoğlu This is me

Publication Date August 30, 2021
Published in Issue Year 2021 Volume: 2 Issue: 2

Cite

APA Kirkaya, İ., & Kaçoğlu, C. (2021). Sağlıklı Genç Bireylerde Kalp Atım Hızı Ölçümü İçin Bir Mobil Uygulamanın Doğrulanması. Uluslararası Bozok Spor Bilimleri Dergisi, 2(2), 159-168.