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Original Article Polar S810 as an Alternative Resource to the Use of the Electrocardiogram in the 4-Second Exercise Test Alan Santos Pimentel1, Eduardo da Silva Alves1, Rafael de Oliveira Alvim1, Rogério Tasca Nunes1, Carlos Magno Amaral Costa1, Júlio Cesar Moraes Lovisi2, Jorge Roberto Perrout de Lima1 Universidade Federal de Juiz de Fora - Laboratório de Avaliação Motora1; Clínica de Medicina do Exercício e Reabilitação Cardiovascular CUORE2, Juiz de Fora, MG - Brazil Abstract Background: The 4-second exercise test (T4s) evaluates the cardiac vagal tone during the initial heart rate (HR) transient at sudden dynamic exercise, through the identification of the cardiac vagal index (CVI) obtained from the electrocardiogram (ECG). Objective: To evaluate the use of the Polar S810 heart rate monitor (HRM) as an alternative resource to the use of the electrocardiogram in the 4-second exercise test. Methods: In this study, 49 male individuals (25 ± 20 years, 176 ±12 cm, 74 ± 6 kg) underwent the 4-second exercise test. The RR intervals were recorded simultaneously by ECG and HRM. We calculated the mean and the standard deviation of the last RR interval of the pre-exercise period, or of the first RR interval of the exercise period, whichever was longer (RRB), of the shortest RR interval of the exercise period (RRC), and of the CVI obtained by ECG and HRM. We used the Student t-test for dependent samples (p ≤ 0.05) to test the significance of the differences between means. To identify the correlation between the ECG and the HRM, we used the linear regression to calculate the Pearson’s correlation coefficient and the strategy proposed by Bland and Altman. Results: Linear regression showed r2 of 0.9999 for RRB, 0.9997 for RRC, and 0.9996 for CVI. Bland e Altman strategy presented standard deviation of 0.92 ms for RRB, 0.86 ms for RRC, and 0.002 for CVI. Conclusion: Polar S810 HRM was more efficient in the application of T4s compared to the ECG. (Arq Bras Cardiol 2010;94(5):545-549) Key words: Muscle tonus; heart rate; exercise; measures; heart. Introduction A reduced vagal tone is strongly associated with risk of death by cardiovascular events1-5. Because of its relationship with cardiac vagal integrity, the behavior of heart rate (HR) has been widely studied in the initial transient of different modalities and conditions associated with exercise. The 4-seconds exercise test (T4s) designed to assess cardiac vagal tone calculates the cardiac vagal index (CVI) from the analysis of the electrocardiographic recording made during the initial transient of HR in sudden dynamic exercise performed under controlled respiratory conditions1. In the 1980s, the first heart rate monitors (HRM) to be used during exercise were created. Later, they were validated to monitor the intensity of aerobic activity. In the following years, many studies have confirmed the correlation between HR time Mailing address: Rafael de Oliveira Alvim • Av. Engenheiro Heitor Antônio Eiras Garcia, 79/21B - Jardim Esmeralda 05588-000 - São Paulo, SP - Brazil E-mail: [email protected], [email protected] Manuscript received on March 25th, 2009; revised manuscript received on July 29th, 2009, accepted on September 1st, 2009. 545 series obtained by HRM and the electrocardiogram (ECG) and Holter monitoring during various intensities and forms of exercise6-15. With the development of electronic possibilities, some models of HMR as the Polar S810 incorporated, in addition to HR, the ability to record RR intervals. Therefore, Nunan et al16 found a strong correlation when comparing the recording and issue of RR intervals between the conventional ECG and the Polar S810 HRM at rest, thus proving the capability and applicability of this instrument in the acquisition of data. Finally, relating the validity of those records at various times and maneuvers, Kingsley et al17 found no significant differences between the measures of Polar S810 HMR and the ECG for all exercise intensities tested. The T4s protocol includes sudden exercise in cycle ergometer or upper-limb ergometer18 for 4 s, after initial immobility of 4 s. This maneuver causes rapid and large variations in RR intervals. The use of Polar S810 HMR has not yet been studied in a similar situation. Moreover, there is the need to observe whether the amplitude of the agreement interval, ocasionally found between the HMR and the ECG, can interfere with the identification of the CVI. Therefore, the objective of this study was to test the operational viability and Pimentel et al Use of Polar S810 heart rate monitor in 4-second exercise test Original Article use of the Polar S810 heart rate monitor as an alternative to the ECG in the application of the T4s. Methods Calculation of cardiac vagal index (CVI) Volunteers The subjects signed an informed consent about the procedures used in the study. The project was approved by the ethics committee of the institution under No. 171/2008. Subjects with different clinical conditions participated in the study: athletes, beta-blocker users and post-MI patients. 4-second test Each individual, after a 5-minute rest, underwent 3 consecutive T4s trials, as described in the original protocol19. The first trial served as a means of familiarization with the procedure, and the best result of the two subsequent trials was chosen as representative of the CVI. The interval between repetitions of the protocol was 1 to 2 minutes, and the subject waited for the HR to return to its pre-maneuver level before repeating the protocol. T4s consisted of a dynamic sudden exercise on a cycle ergometer (Funbec, Brazil) with no resistance (zero charge), from the 4th to the 8th second of maximal inspiratory apnea of 12 s. The individual, after adjusting the saddle and resting for 5 minutes, followed the four consecutive commands, separated by an interval of 4 s, as shown in the diagram in Table 1. Acquisition of ECG and HMR signals The RR intervals were recorded simultaneously throughout the test, by the ECG and the HR monitor. We used a digital ECG (Micromed, Wincardio, Brazil) whose signals, recorded at a speed of 25 mm/s, were analyzed by a specific software (PC Ergo Elite version 3.2.1.5). We also used a HMR (Polar S810, Finland) which had an interface (IR interface, Polar Electro OY, Finland) for data transfer to a computer, in which they were analyzed by a specific software (Polar Precision Performance version 3.01). We used verbal commands as event markers so as to begin and end the recordings of both devices simultaneously. We connected the adhesive electrodes Table 1 - Schedule of application of the 4-second exercise test (T4s) Command to the chest of the subjects (Blue Sensor, Brazil) of the ECG, in CM5 lead, and the HMR standard transmitter (TM 31, Polar Electro OY, Finland). Time (s) Action 1 0 Pre-exercise After a quick inhalation through the mouth with maximum inspiration, maintain apnea (until the end of the test), without pedaling, sitting on the bike for 4s. 2 4 Exercise Maintaining apnea, pedal as fast as possible for 4s (at least 5 rotations of the pedals). 3 8 Postexercise Stop pedaling abruptly and remain seated on the bike for 4s, maintaining apnea. 4 12 End of the test Resume normal breathing and finish the test. The first step in the calculation of the CVI was the identification of the last RR interval of the pre-exercise period or the first period of exercise (whichever was longer) called RRB, and the shortest RR interval of the exercise period, called RRC . The CVI is obtained by the RRB/RRC ratio. Initially, so as to identify the RRB and RRC the time series of RR intervals obtained by both devices were subjected to visual inspection and removal of artifacts. Then the records underwent an HMR filtering performed automatically by a specific software (Polar Precision Performance version 3.01). Of the time series with valid RR intervals, the RRB and RRC intervals, both of the ECG and the HR monitor, were selected to calculate the CVI1 using as reference the time of the commands. Statistical treatment The mean and the standard deviation of the sample characteristics were calculated, and the values of RRB, RRC, and CVI were obtained by ECG and HMR. We used the Student t-test for paired data (p ≤ 0.05) to test the significance of the differences between means. To identify the correlation between the measurements made by ECG and HMR, we used linear regression to calculate the coefficient of correlation, and also applied the strategy proposed by Bland and Altman20, which consists of averaging the individual measurements of ECG (ECG) and HMR (HMR) ([ECG + HMR] / 2) and the plotting of the differences between measurements made by the HMR and these means. Results The T4s was applied to 49 males (25 ± 20 years, 176 ± 12 cm, 74 ± 6 kg). The ECG and the HMR recordings were synchronized by time markers (verbal commands). After visual inspection of the records, when the artifacts and the characteristic intervals of ventricular premature beats were removed, each observer independently identified the RRB and RRC of each evaluated interval among the valid RR intervals. There was a coincidence of 100% on the location of the identified intervals, and there were no significant differences (p ≤ 0.05) between the means of the measurements made by the ECG and the HMR for RRB, RRC, and CVI, as shown in Table 2. The linear regression of the values obtained by the ECG in function of those obtained by the HR monitor had r2 of 0.9999 for the RRB, r2 of 0.9997 for the RRC, and r2 of 0.9996 for CVI. The plotting of the differences between the values measured by the HMR and the mean measurements had a standard deviation of 0.92 ms for the RRB, of 0.86 ms for the RRC, and of 0.002 for the CVI (Fig. 1, 2, and 3). Discussion Heart monitors, such as the Polar S810, have been used for measuring HR. In this study, when comparing the results Arq Bras Cardiol 2010;94(5):545-549 546 Pimentel et al Use of Polar S810 heart rate monitor in 4-second exercise test Original Article Table 2 - Values of RRB, RRC and CVI obtained by ECG and HMR RRB (ms) RRC (ms) CVI HMR ECG HMR ECG HMR ECG Mean 869.5 869.3 684.3 684.5 1.280 1.279 SD 154.5 154.2 107.2 107.3 0.191 0.190 RRB - last RR interval of the pre-exercise period or the first exercise period, whichever was longer; RRC - shortest RR interval of the exercise period; CVI cardiac vagal index; ECG - electrocardiogram; HMR - heart rate monitor. Figure 2 - RRC ECG - the shortest RR interval of the exercise period obtained by ECG; RRC HMR - the shortest RR interval of the exercise period obtained by the heart rate monitor; mean HMR-RRC - mean value measured by ECG and HMR. 0.92 ms for the RRB, -0.10 ± 0.86 ms for the RRC, and 0.000 ± 0.002 for CVI. There was no significant difference between the measurements (p > 0.05). Figure 1 - RRB ECG - last RR interval of the pre-exercise period or the first exercise period (whichever is longer) obtained by ECG; RRB HMR - last RR interval of the pre-exercise period or the first exercise period (whichever was longer) obtained by the heart rate monitor; mean HMR-RRB - mean value measured by ECG and HMR. of T4s obtained by both devices (ECG and HMR), we found a strong correlation, r2 of 0.9999 for the RRB (last RR interval of the pre-exercise period or the first exercise period, whichever was longer), and r2 of 0.9997 for the RRC (shortest RR interval of the exercise period). The high correlation observed in the RRB and RRC resulted in a correlation of 0.9996 in the identification of the CVI, which was obtained by the RRB/RRC ratio. As for the limits of agreement determined by Bland and Altman20 strategy, we obtained the following results: 0.08 ± 547 Arq Bras Cardiol 2010;94(5):545-549 In this study, the statistical treatment used was similar to others reported here, in order to facilitate the comparison of results. It should be noted that in the present study, we used the RR interval in the initial transient of exercise with sudden onset. Nevertheless, we found values similar to those reported by Kingsley et al17 and Gamelin et al21 who studied the validity of HMR in progressive exercise and at rest. The limits of agreement found here were lower than those reported in the studies cited above, perhaps because, in this study we used, in the comparison, only RR intervals used in the identification of the CVI, rather than the complete series (> 5 min), usually used. There are few data in the literature referring to the efficiency of the Polar S810 HMR to capture the RR intervals of HR for determining the values of the CVI. However, recent studies22-24 have demonstrated the effectiveness and applicability of this device in the analysis of the HR variability indexes, in both the time domain and in the frequency domain, thus allowing a reliable, noninvasive, and low cost Pimentel et al Use of Polar S810 heart rate monitor in 4-second exercise test Original Article complex (ventricular depolarization), regardless of whether this was determined by a normal beat originated in the sinus node or by a ventricular premature beat. Therefore, the occurrence of ventricular premature beats during the T4s may limit the interpretation of the RR intervals by the HMR. In our study, this was not a limiting factor, because, upon the occurrence of ventricular premature beats with a too short coupling interval (very early ES), the observer responsible for recording the HMR was able to clearly identify the artifact generated, excluding it from the measurements, which, ultimately, can be confirmed by the high correlation coefficients observed here. However, in ventricular premature beats with a slightly longer coupling interval (close to the baseline measurements of RR), the identification of artifacts by the Polar Precision Performance software becomes significantly more difficult, which may eventually limit the analysis of the measurements used in the method. In this sample of heterogeneous characteristics, with great variability of the CVI, the occurrence of ventricular premature beats became undiscriminated in healthy subjects and in patients with heart disease, and although they were more frequent in the latter, there was no interference in the correct interpretation of the indexes by the HMR observer. Conclusion Figure 3 - CVI ECG - cardiac vagal index obtained by ECG; CVI HMR - cardiac vagal index obtained by the heart rate monitor; mean HMR-CVI - mean value measured by ECG and HMR. assessment of the autonomic balance. Although these are different evaluation methods, both the CVI obtained by T4s and the indexes adopted for HRV analysis arise from the measurement of RR interval, which allows us to associate the results found in previous studies. According to the authors’ clinical experience, the application of T4s is a very safe procedure. Although the test has a high arrhythmogenic potential due to rapid changes observed in autonomic activity, no cardiovascular events were observed. Moreover, even if arrhythmias occur, in most cases they are self-limited and of low complexity. It should be noted that the measurement of the RR intervals monitored by the Polar S810 HMR and transferred to the Polar Precision Performance software is derived from the capture of the electrical pulses generated by the R wave peak of the QRS We concluded that the Polar S810 HMR can be used as an alternative to the ECG in the application of the T4s. The use of HR monitors increases the possibilities of the application of the T4s. However, it should be emphasized that their use does not replace the ECG in cardiac diagnosis. As the reduction of cardiac vagal tone is associated with an increased risk of death from cardiovascular events, the application of a simple and safe method, such as the T4s, through a more accessible methodology, using the HMR, could permit the identification of a greater number of patients with these characteristics, increasing the benefits derived from this observation. In healthy subjects, it can be applied by health professionals as a routine procedure in the assessment and monitoring of the autonomic changes caused by aerobic training. Potential Conflict of Interest No potential conflict of interest relevant to this article was reported. Sources of Funding There were no external funding sources for this study. Study Association This study is not associated with any post-graduation program. References 1. Ricardo DR. Teste de exercício de 4 segundos: aspectos metodológicos e implicações prognósticas. [Tese]. Rio de Janeiro: Universidade Gama Filho; 2004. 2. Kleiger RE, Miller JP, Bigger JT Jr, Moss AJ. Decreased heart rate variability and its association with increased mortality after acute myocardial infarction. Am Arq Bras Cardiol 2010;94(5):545-549 548 Pimentel et al Use of Polar S810 heart rate monitor in 4-second exercise test Original Article J Cardiol. 1987; 59 (4): 256-62. 3. Stein PK, Domitrovich PP, Huikuri HV, Kleiger RE; Cast Investigators. Traditional and nonlinear heart rate variability are each independently associated with mortality after myocardial infarction. J Cardiovasc Electrophysiol. 2005; 16 (1): 13-20. 4. Tapanainen JM, Thomsen PE, Kober L, Torp-Pedersen C, Makikallio TH, Still AM, et al. Fractal analysis of heart rate variability and mortality after an acute myocardial infarction. Am J Cardiol. 2002; 90 (4): 347-52. 5. La Rovere MT, Pinna GD, Hohnloser SH, Marcus FI, Mortara A, Nohara R, et al. Baroreflex sensitivity and heart rate variability in the identification of patients at risk for life-threatening arrhythmias: implications for clinical trials. Circulation. 2001; 103 (16): 2072-7. 6. Karvonen J, Chwalbinska-Monet J, Säynäjäkangas S. Comparison of heart rates measured by ECG and microcomputer. Physician Sport Med. 1984; 12 (6): 65-9. 7. Vogelaere P, De Meyer F, Duquet W, Vandevelde P. Sport Tester PE 3000 vs Holter ECG for the measurement of heart rate frequency. Sci and Sports. 1986; 1 (4): 321-9. 8. Leger L, Thivierge M. Heart rate monitors: validity, stability and functionality. Physician Sport Med. 1988; 16 (5): 143-51. 9. Thivierge M, Leger L. Critical review of heart rate monitors. CAHPER J. 1989; 55 (3): 26-31. 10.Seaward BL, Sleamaker RH, Mc Auliffe T, Clapp JF 3rd. The precision and accuracy of a portable heart rate monitor. Biomed Instrum Technol. 1990; 24 (1): 37-41. 11.Godsen R, Caroll T, Stone S. How well does the Polar Vantage XL Heart Rate Monitor estimate actual heart rate? [abstract]. Med Sci Sports Exerc. 1991; 23 (Suppl 4): 14. 12.Lewis D, Salisury C; Officer Commanding Research. An investigation into the accuracy of the Polar Favor and the Polar Edge heart rate monitors compared with direct ECG measurements. Report to Leisure System International; 1992. 13.Kinnunen J, Heikkila L.The timing accuracy of the Polar Vantage NV heart 549 Arq Bras Cardiol 2010;94(5):545-549 rate monitor. J Sports Sci. 1998; 16: S107-10. 14.Laukkanen RMT, Virtanen P. Heart rate monitors: state of the art. J Sports Sci. 1998; (Suppl 16): 53-7. 15.Terbizan DJ, Dolezal BA, Albano C. Validity of seven commercially available heart rate monitors. Measurement in Physical Education and Exercise Science. 2002; 6 (4): 243-7. 16.Nunan D, Jakovljevic DG, Donovan G, Hodges DL, Sandercock GRH, Brodie DA. 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. 2008; 103: 529-37. 17.Kingsley M, Lewis MJ, Marson RE. Comparison of Polar 810s and an ambulatory ECG system for RR interval measurement during progressive exercise. Int J Sports Med. 2005; 26 (1): 39-44. 18.Silva MB, Vianna LC, Oliveira RB, Ricardo DR, Araújo CG. Similar cardiac vagal withdrawal at the onset of arm and leg dynamic exercise. Eur J Appl Physiol. 2008; 102 (6): 695-701. 19.Araújo CG, Nóbrega AC, Castro CL. Vagal activity: effect of age, sex and physical activity pattern. Braz J Med Biol Res.1989; 22 (7): 909-11. 20.Bland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurements. Lancet. 1986; 1: 307-10. 21.Gamelin FX, Berthoin S, Bosquet L. Validity of the Polar S810 heart rate monitor to measure R-R intervals at rest. Med Sci Sports Exerc. 2006; 38 (5): 887-93. 22.Porto LG, Junqueira LF Jr. 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 (1): 43-51. 23.Nunan D, Donovan G, Jakovljevic DG, Hodges LD, Sandercock GR, Brodie DA. Validity and reliability of short-term heart-rate variability from the Polar S810. Med Sci Sports Exerc. 2009; 41 (1): 243-50. 24.Vanderlei LC, 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 Res. 2008; 41(10): 854-9.