Accuracy and Validity of Commercial Smart Bands for Heart Rate Measurements During Cardiopulmonary Exercise Test
0
조회
0
다운로드
2
인용
0
참고문헌
키워드
초록
Objective To assess the accuracies and validities of popular smart bands for heart rate (HR) measurement in cardiovascular disease (CVD) patients during a graded exercise test (GXT).Methods Seventy-eight patients were randomly assigned to wear two different smart bands out of three possible choices: Samsung Galaxy Fit 2, Xiaomi Mi Band 5, or Partron PWB-250 on each wrist. A 12-lead exercise electrocardiogram (ECG) and patch-type single-lead ECG were used to assess the comparative HR accuracy of the smart bands. The HR was recorded during the GXT using the modified Bruce protocol.Results The concordance correlation coefficients (rc) were calculated to provide a measure of agreement between each device and the ECG. In all conditions, the Mi Band 5 and Galaxy Fit 2’ correlations were rc>0.90, while the PWB-250 correlation was rc=0.58 at rest. When evaluating the accuracy according to the magnitude of HR, all smart bands performed well (rc>0.90) when the HR was below 100 but accuracy tended to decrease with higher HR values.Conclusion This study showed that the three smart bands had a high level of accuracy for HR measurements during low-intensity exercise. However, during moderate-intensity and high-intensity exercise, all the three smart bands performed less accurately. Further studies are needed to find a more optimal smart band for HR measurement that can be used for precise HR monitoring during formal cardiac rehabilitation exercise training, including at high and maximal intensity (Clinical Trial Registration No. cris.nih.go.kr/KCT0007036).
Abstract
Objective To assess the accuracies and validities of popular smart bands for heart rate (HR) measurement in cardiovascular disease (CVD) patients during a graded exercise test (GXT).Methods Seventy-eight patients were randomly assigned to wear two different smart bands out of three possible choices: Samsung Galaxy Fit 2, Xiaomi Mi Band 5, or Partron PWB-250 on each wrist. A 12-lead exercise electrocardiogram (ECG) and patch-type single-lead ECG were used to assess the comparative HR accuracy of the smart bands. The HR was recorded during the GXT using the modified Bruce protocol.Results The concordance correlation coefficients (rc) were calculated to provide a measure of agreement between each device and the ECG. In all conditions, the Mi Band 5 and Galaxy Fit 2’ correlations were rc>0.90, while the PWB-250 correlation was rc=0.58 at rest. When evaluating the accuracy according to the magnitude of HR, all smart bands performed well (rc>0.90) when the HR was below 100 but accuracy tended to decrease with higher HR values.Conclusion This study showed that the three smart bands had a high level of accuracy for HR measurements during low-intensity exercise. However, during moderate-intensity and high-intensity exercise, all the three smart bands performed less accurately. Further studies are needed to find a more optimal smart band for HR measurement that can be used for precise HR monitoring during formal cardiac rehabilitation exercise training, including at high and maximal intensity (Clinical Trial Registration No. cris.nih.go.kr/KCT0007036).
참고문헌 (25)
- Taylor RS, "Exercise-based rehabilitation for patients with coronary heart disease : systematic review and meta-analysis of randomized controlled trials", Am J Med, 116, pp.682~692 (2004)
- Clark AM, "Meta-analysis : secondary prevention programs for patients with coronary artery disease", Ann Intern Med, 143, pp.659~672 (2005)
- McMahon SR, "The role of cardiac rehabilitation in patients with heart disease", Trends Cardiovasc Med, 27, pp.420~425 (2017)
- Smith SC Jr, "AHA", ACCF secondary prevention and risk reduction therapy for patients with coronary and other atherosclerotic vascular disease : 2011 update : a guideline from the American Heart Association and American College of Cardiology Foundation endorsed by the World Heart Federation and the Preventive Cardiovascular Nurses Association, 2011, pp.58, 2432~2446
- Ibanez B, "2017 ESC Guidelines for the management of acute myocardial infarction in patients presenting with ST-segment elevation : the Task Force for the management of acute myocardial infarction in patients presenting with ST-segment elevation of the European Society of Cardiology(ESC)", Eur Heart J, 39, pp.119~177 (2018)
- American Association of Cardiovascular and Pulmonary Rehabilitation, "Guidelines for cardiac rehabilitation and secondary prevention programs" (2013), Human Kinetics
- Clark RA, "Alternative models of cardiac rehabilitation : a systematic review", Eur J Prev Cardiol, 22, pp.35~74 (2015)
- 임효원, "Barriers to Outpatient Hospital-Based Cardiac Rehabilitation in Korean Patients With Acute Coronary Syndrome", Annals of Rehabilitation Medicine, 42(1), pp.154~165 (2018), 대한재활의학회
- Dalal HM, "Home based versus centre based cardiac rehabilitation : Cochrane systematic review and meta-analysis", BMJ, 340, pp.b5631~ (2010)
- Ruano-Ravina A, "Participation and adherence to cardiac rehabilitation programs : a systematic review", Int J Cardiol, 223, pp.436~443 (2016)
- Kraal JJ, "Effects and costs of home-based training with telemonitoring guidance in low to moderate risk patients entering cardiac rehabilitation : The FIT@Home study", BMC Cardiovasc Disord, 13, pp.82~ (2013)
- Bidargaddi NP, "Activity and heart rate-based measures for outpatient cardiac rehabilitation", Methods Inf Med, 47, pp.208~216 (2008)
- Brouwers RW, "Cardiac telerehabilitation as an alternative to centre-based cardiac rehabilitation", Neth Heart J, 28, pp.443~451 (2020)
- Gillinov S, "Variable accuracy of wearable heart rate monitors during aerobic exercise", Med Sci Sports Exerc, 49, pp.1697~1703 (2017)
- Chow HW, "Accuracy of optical heart rate sensing technology in wearable fitness trackers for young and older adults : validation and comparison study", JMIR Mhealth Uhealth, 8, pp.e14707~ (2020)
- Pasadyn SR, "Accuracy of commercially available heart rate monitors in athletes : a prospective study", Cardiovasc Diagn Ther, 9, pp.379~385 (2019)
- Dooley EE, "Estimating accuracy at exercise intensities : a comparative study of self-monitoring heart rate and physical activity wearable devices", JMIR Mhealth Uhealth, 5, pp.e34~ (2017)
- Thiebaud RS, "Validity of wrist-worn consumer products to measure heart rate and energy expenditure", Digit Health, 4, pp.2055207618770322~ (2018)
- Etiwy M, "Accuracy of wearable heart rate monitors in cardiac rehabilitation", Cardiovasc Diagn Ther, 9, pp.262~271 (2019)
- Falter M, "Accuracy of Apple Watch measurements for heart rate and energy expenditure in patients with cardiovascular disease : cross-sectional study", JMIR Mhealth Uhealth, 7, pp.e11889~ (2019)
- Heyken M, "Comparison of wearables for selfmonitoring of heart rate in coronary rehabilitation patients", Georgian Med News, (315), pp.78~85 (2021)
- Albouaini K, "Cardiopulmonary exercise testing and its application", Postgrad Med J, 83, pp.675~682 (2007)
- Fletcher GF, "Exercise standards for testing and training : a statement for healthcare professionals from the American Heart Association", Circulation, 104, pp.1694~1740 (2001)
- A proposal for strength-of-agreement criteria for Lin’s concordance correlation coefficient, "McBride GB", National Institute of Water and Atmospheric Research, ~, pp.NIWA Client Report No. HAM2005-062 (2005)
- Garber CE, "American College of Sports Medicine position stand : quantity and quality of exercise for developing and maintaining cardiorespiratory, musculoskeletal, and neuromotor fitness in apparently healthy adults : guidance for prescribing exercise", Med Sci Sports Exerc, 43, pp.1334~1359 (2011)
