Examining weekly heart rate variability changes: a comparison between wearable devices running head: weekly heart rate variability changes

被引:5
作者
Ruiz-Alias, Santiago A. [1 ,2 ]
Marcos-Blanco, Aitor [1 ,2 ]
Clavero-Jimeno, Antonio [1 ,2 ]
Garcia-Pinillos, Felipe [1 ,2 ,3 ]
机构
[1] Univ Granada, Dept Phys Educ & Sport, Carretera Alfacar S-N, Granada 18011, Spain
[2] Sport & Hlth Univ Res Ctr iMUDS, C Menendez Pelayo 32, Granada 18016, Spain
[3] Univ La Frontera, Dept Phys Educ Sports & Recreat, Temuco, Chile
关键词
Monitoring; Heart rate variability; Internal load; Wearable; Sport watch; Photoplethysmography; SLEEP; EXERCISE; QUALITY;
D O I
10.1007/s12283-022-00371-8
中图分类号
G8 [体育];
学科分类号
04 ; 0403 ;
摘要
Monitoring heart rate variability has been commonly performed by different devices which differ in their methods (i.e., night recording vs. upon awakening measure, pulse vs. R waves, and software signal processing), Thus, the purpose of this study was to determine the level of agreement between different methods of heart rate variability monitoring, represented in two different systems (i.e., the Polar Nightly Recharge (TM) function present in Polar sport watches and the Polar H10 chest strap synchronized with the Kubios app). A group of 11 recreational athletes performed a concurrent training program for eight weeks and heart rate variability was daily monitored through both devices. Very large correlation (r = 0.714) and good reliability (ICC = 0.817) were obtained between devices through the entire training program. The magnitude-based inference method was also applied to determine the likelihood of the change concerning the smallest worthwhile change. From a baseline corresponding to the first two weeks of the training program, the weekly heart rate variability changes of the following six weeks were determined for each participant with each device. Despite the large correlation and good reliability between devices, there was a 60.6% of discordance in the likelihood interpretation of the change for the 66 weeks evaluated, explained by the random errors found. Thus, practitioners should be aware of these differences if their training groups use different devices or if an athlete interchanges them. The different nuances of each device can condition the heart rate variability data variation which could compromise the interpretation of the autonomic nervous system modulation.
引用
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页数:10
相关论文
共 28 条
[1]   Making Meaningful Inferences About Magnitudes [J].
Batterham, Alan M. ;
Hopkins, William G. .
INTERNATIONAL JOURNAL OF SPORTS PHYSIOLOGY AND PERFORMANCE, 2006, 1 (01) :50-57
[2]  
Benitez-Herrera AB., 2017, INT C SPORT SCI, V1, P1
[3]   Investigating sources of inaccuracy in wearable optical heart rate sensors [J].
Bent, Brinnae ;
Goldstein, Benjamin A. ;
Kibbe, Warren A. ;
Dunn, Jessilyn P. .
NPJ DIGITAL MEDICINE, 2020, 3 (01)
[4]   STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT [J].
BLAND, JM ;
ALTMAN, DG .
LANCET, 1986, 1 (8476) :307-310
[5]   Monitoring training status ith HR measures: do all roads lead to Rome? [J].
Buchheit, Martin .
FRONTIERS IN PHYSIOLOGY, 2014, 5
[6]  
Camm AJ, 1996, CIRCULATION, V93, P1043
[7]  
Cohen J., 1988, STAT POWER ANAL BEHA
[8]   The athlete monitoring cycle: a practical guide to interpreting and applying training monitoring data [J].
Gabbett, Tim J. ;
Nassis, George P. ;
Oetter, Eric ;
Pretorius, Johan ;
Johnston, Nick ;
Medina, Daniel ;
Rodas, Gil ;
Myslinski, Tom ;
Howells, Dan ;
Beard, Adam ;
Ryan, Allan .
BRITISH JOURNAL OF SPORTS MEDICINE, 2017, 51 (20) :1451-1452
[9]   RR interval signal quality of a heart rate monitor and an ECG Holter at rest and during exercise [J].
Gilgen-Ammann, Rahel ;
Schweizer, Theresa ;
Wyss, Thomas .
EUROPEAN JOURNAL OF APPLIED PHYSIOLOGY, 2019, 119 (07) :1525-1532
[10]  
Hayashi M, 2019, INT C WIR MOB COMM H, P256