PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
2013 | 39 | 1 | 85-92
Tytuł artykułu

Validity of the ithleteTMSmart Phone Application for Determining Ultra-Short-Term Heart Rate Variability

Treść / Zawartość
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The purpose of this investigation was to cross-validate the ithleteTM heart rate variability smart phone application with an electrocardiograph for determining ultra-short-term root mean square of successive R-R intervals. The root mean square of successive R-R intervals was simultaneously determined via electrocardiograph and ithleteTM at rest in twenty five healthy participants. There were no significant differences between the electrocardiograph and ithleteTM derived root mean square of successive R-R interval values (p > 0.05) and the correlation was near perfect (r = 0.99, p < 0.001). In addition, the ithleteTM revealed a Standard Error of the Estimate of 1.47 and Bland Altman plot showed that the limits of agreement ranged from 2.57 below to 2.63 above the constant error of -0.03. In conclusion, the ithleteTM appeared to provide a suitably accurate measure of root mean square of successive R-R intervals when compared to the electrocardiograph measures obtained in the laboratory within the current sample of healthy adult participants. The current study lays groundwork for future research determining the efficacy of ithleteTM for reflecting athletic training status over a chronic conditioning period.
Słowa kluczowe
Wydawca

Rocznik
Tom
39
Numer
1
Strony
85-92
Opis fizyczny
Daty
wydano
2013-12-01
online
2013-12-31
Twórcy
  • Department of Physical Education & Exercise Science, Human Performance Laboratory, Auburn University at Montgomery, USA, andrew_flatt@hotmail.com
  • Department of Physical Education & Exercise Science, Human Performance Laboratory, Auburn University at Montgomery, USA
Bibliografia
  • Baumert M, Brechtel L, Lock J, Hermsdorf M, Wolff R, Baier V, Voss A. Heart rate variability blood pressure variability, and baroreflex sensitivity in overtrained athletes. Clin J Sports Med, 2006; 16: 412-417[Crossref]
  • Bland MJ, Altman D. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet,1986; 327: 307-310[Crossref]
  • Bosquet L, Merkari S, Arvisais D, Aubert AE. Is heart rate a convenient tool to monitor over-reaching? A systematic review of the literature. Br J Sports Med, 2008; 42: 709-714[Crossref][PubMed]
  • Boullosa DA, Abreu L, Nakamura FY, Muñoz VE, Domínguez E, Leicht AS. Cardiac autonomic adaptations in elite spanish soccer players during pre-season. Int J Sport Physiol Perform, 2013; 8: 400-409
  • Camm AJ, Malik M, Bigger JT, Breithardt G, Cerutti S, Cohen RJ, Coumel P, Fallen EL, Kennedy HL, Kleiger RE, Lombardi F, Malliani A, Moss AJ, Rottman JN, Schmidt G, Schwartz PJ, Singer DH. Heart rate variability: standards of measurement, physiological interpretation and clinical use. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology. Circulation, 1996; 93: 1043-1065
  • Chalencon S, Busso T, Lacour JR, Garet M, Pichot V, Connes P, Gabel CP, Roche F, Barthélémy JC. A model for the training effects in swimming demonstrates a strong relationship between parasympathetic activity, performance and index of fatigue. PloS one, 2012; 7: e52636
  • Chen JL, Yeh DP, Lee JP, Chen CY, Huang CY, Lee SD, Chen CC, Kuo T, Kao CL, Kuo CH. Parasympathetic nervous activity mirrors recovery status in weightlifting performance after training. J Strength CondRes, 2011; 25: 1546-1552
  • Cipryan L, Litschmannova M. Intra-day and inter-day reliability of heart rate variability measurement. JSports Sci, 2013; 31: 150-158[Crossref]
  • Cipryan L, Stejskal P. Individual training in team sports based on autonomic nervous system activity assessments. Med Sportiva, 2010; 14: 56-62[Crossref]
  • Gamelin FX, Baquet G, Berthoin S, Bosquet L. Validity of the polar S810 to measure RR intervals in children. Int J Sports Med, 2008; 29: 134-138[WoS]
  • Gamelin FX, Berthoin S, Bosquet L. Validity of the polar S810 heart rate monitor to measure RR intervals at rest. Med Sci Sports Exerc, 2006; 38: 887-893
  • Hamilton RM, Mckechnie PS, Macfarlane PW. Can cardiac vagal tone be estimated from the 10-second ECG? Intl J Cardiol, 2004; 95: 109-115
  • Hautala AJ, Kiviniemi AM, Tulppo MP. Individual responses to aerobic exercise: the role of the autonomic nervous system. Neurosci Biobehav Rev, 2009; 33: 107-115[PubMed][Crossref]
  • Heathers JA. Smartphone-enabled pulse rate variability: an alternative methodology for the collection of heart rate variability in psychophysiological Research. Int J Psychophysiol, 2013; doi:10.1007/s40279-013-0071-8. Epub ahead of print [WoS][Crossref][PubMed]
  • Iellamo F, Legramante JM, Pigozzi F, Spataro A, Norbiato G, Lucini D, Pagani M. Conversion from vagal to sympathetic predominance with strenuous training in high-performance world class athletes. Circulation, 2002; 105: 2719-2724[PubMed][Crossref]
  • Katz A, Liberty IF, Porath A, Ovsyshcher I, Prystowsky E. A simple bedside test of 1-minute heart rate variability during deep breathing as a prognostic index after myocardial infarction. Am Heart J, 1999; 138: 32-38
  • Kiviniemi AM, Hautala AJ, Kinnunen H, Nissilä J, Virtanen P, Karjalainen J, Tulppo M. Daily exercise prescription on the basis of HR variability among men and women. Med Sci Sports Exerc, 2010; 42: 1355-1363[PubMed][WoS]
  • Kiviniemi AM, Hautala AJ, Kinnunen H, Tulppo MP. Endurance training guided individually by daily heart rate variability measurements. Eur J Appl Physiol, 2007; 101: 743-751[Crossref][PubMed][WoS]
  • Le Meur Y, Pichon A, Schaal K, Schmitt L, Louis J, Gueneron J, Vidal PP, Hausswirth C. Evidence of parasympathetic hyperactivity in functionally overreached athletes. Med Sci Sports Exerc, 2013; Epub ahead of print
  • Manzi V, Castagna C, Padua E, Lombardo M, D'Ottavio S, Massaro M, Volterrani M, Iellamo F. Doseresponse relationship of autonomic nervous system responses to individualized training impulse in marathon runners. Am J Physiol Heart Circul Physiol, 2009; 296: H1733-H1740[WoS]
  • Massin MM, Derkenne B, von Bernuth G. Correlations between indices of heart rate variability in healthy children and children with congenital heart disease. Cardiol, 1999; 91: 109-113[Crossref]
  • Nunan D, Donovan G, Jakovljevic D, Hodges L, Sandercock G, Brodie D. Validity and reliability of shortterm heart-rate variability from the Polar S810. Med Sci Sports Exerc, 2009; 41: 243-250[WoS]
  • Nussinovitch U, Cohen O, Kaminer K, Ilani J, Nussinovitch N. Evaluating reliability of ultra-short ECG indices of heart rate variability in diabetes mellitus patients. J Diabetes Complication, 2012; 26: 450-453[Crossref]
  • Nussinovitch U, Elishkevitz KP, Katz K, Nussinovitch M, Segev S, Volovitz B, Nussinovitch N. Reliability of ultra-short ECG indices for heart rate variability. Ann Noninvasive Electrocardiol, 2011; 16: 117-122[Crossref][PubMed][WoS]
  • Oliveira RS, Leicht AS, Bishop D, Barbero-Álvarez JC, Nakamura FY. Seasonal changes in physical performance and heart rate variability in high level futsal players. Int J Sports Med, 2012; 34: 424-430[WoS][PubMed]
  • Penttilä J, Helminen A, Jartti T, Kuusela T, Huikuri HV, Tulppo MP, Coffeng R, Scheinin H. Time domain, geometrical and frequency domain analysis of cardiac vagal outflow: effects of various respiratory patterns. Clin Physiol, 2001; 21: 365-376 [PubMed][Crossref]
  • Pichot V, Busso T, Roche F, Gartet M, Costes F, Duverney D, Lacour J, Barthelemy J. Autonomic adaptations to intensive overload training periods: a laboratory study. Med Sci Sports Exerc, 2002; 34: 1660-1666[PubMed][Crossref]
  • Pichot V, Roche F, Gaspoz JM, Enjolras F, Antoniadis A, Minini P, Costes F, Busso T, La Cour JR, Barthelemy JC. Relation between heart rate variability and training load in middle-distance runners. Med Sci Sports Exerc, 2000; 32: 1729-1736[PubMed][Crossref]
  • Plews DJ, Laursen PB, Kilding AE, Buchheit M. Heart rate variability in elite triathletes: is variation in variability the key to effective training? A case comparison. Eur J Appl Physiol, 2012; 112: 3729-3741[PubMed][WoS][Crossref]
  • Plews DJ, Laursen PB, Stanley J, Kilding AE, Buchheit M. Training adaptation and heart rate variability in elite endurance athletes: Opening the door to effective monitoring. Sports Med, 2013; doi:10.1007/s40279-013-0071-8. Epub ahead of print [Crossref][WoS][PubMed]
  • Porto LGG, Junqueira J. Comparison of time-domain short-term heart interval variability analysis using a wrist-worn heart rate monitor and the conventional electrocardiogram. Pacing Clin Electrophysiol, 2009; 32: 43-51[WoS][Crossref][PubMed]
  • Saboul D, Pialoux V, Hautier C. The impact of breathing on HRV measurements: Implications for the longitudinal follow-up of athletes. Eur J Sports Sci, 2013; doi:10.1080/17461391.2013.767947. Epub ahead of print [WoS][Crossref]
  • Salahuddin L, Cho J, Jeong MG, Kim D. Ultra short term analysis of heart rate variability for monitoring mental stress in mobile settings. Conf Proc IEEE Eng Med Biol Soc, 2007; 4656-4659[PubMed]
  • Sandercock GR, Bromley PD, Brodie DA. The reliability of short-term measurements of heart rate variability. Int J Cardiol, 2005; 103: 238-247[PubMed][Crossref]
  • Sartor F, Vailati E, Valsecchi V, Vailati F, La Torre A. Heart rate variability reflects training load and psychophysiological status in young elite gymnasts. J Strength Cond Res, 2013; doi: 10.1519/JSC.0b013e31828783cc. Epub ahead of print [PubMed][WoS][Crossref]
  • Thong T, Li K, McNames J, Aboy M, Goldstein B. Accuracy of ultra-short heart rate variability measures. Conf Proc IEEE Eng Med Biol, 2003; 3: 2424-2427
  • Thiel C, Vogt L, Bürklein M, Rosenhagen A, Hübscher M, Banzer W. Functional overreaching during preparation training of elite tennis professionals. J Hum Kinet, 2011; 28: 79-89[PubMed]
  • Tian Y, He ZH, Zhao JX, Tao DL, Xu KY, Earnest CP, McNaughton LR. Heart rate variability threshold values for early-warning non-functional overreaching in elite women wrestlers. J Strength Cond Res, 2012; 27: 1511-1519[WoS]
  • Vanderlei LCM, Silva RA, Pastre CM, Azevedo FM, Godoy MF. 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, 2008; 41: 854-859
  • Wallén MB, Hasson D, Theorell T, Canlon B, Osika W. Possibilities and limitations of the polar RS800 in measuring heart rate variability at rest. Eur J Appl Physiol, 2012; 112: 1153-1165[WoS]
  • Wegerif SC. U.S. Patent Application, 2009; 12/565,717
  • Weippert M, Kumar M, Kreuzfeld S, Arndt D, Rieger A, Stoll R. Comparison of three mobile devices for measuring R-R intervals and heart rate variability: Polar S810i, Suunto t6 and an ambulatory ECG system. Eur J Appl Physiol, 2010; 109: 779-786 [WoS]
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.-psjd-doi-10_2478_hukin-2013-0071
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.