Validity of the Polar V800 heart rate monitor to measure RR intervals at rest

Purpose To assess the validity of RR intervals and short-term heart rate variability (HRV) data obtained from the Polar V800 heart rate monitor, in comparison to an electrocardiograph (ECG). Method Twenty participants completed an active orthostatic test using the V800 and ECG. An improved method for the identification and correction of RR intervals was employed prior to HRV analysis. Agreement of the data was assessed using intra-class correlation coefficients (ICC), Bland–Altman limits of agreement (LoA), and effect size (ES). Results A small number of errors were detected between ECG and Polar RR signal, with a combined error rate of 0.086 %. The RR intervals from ECG to V800 were significantly different, but with small ES for both supine corrected and standing corrected data (ES 0.999 for both supine and standing corrected intervals. When analysed with the same HRV software no significant differences were observed in any HRV parameters, for either supine or standing; the data displayed small bias and tight LoA, strong ICC (>0.99) and small ES (≤0.029). Conclusions The V800 improves over previous Polar models, with narrower LoA, stronger ICC and smaller ES for both the RR intervals and HRV parameters. The findings support the validity of the Polar V800 and its ability to produce RR interval recordings consistent with an ECG. In addition, HRV parameters derived from these recordings are also highly comparable

Validity of telemetric-derived measures of heart rate variability: a systematic review

Heart rate variability (HRV) is a widely accepted indirect measure of autonomic function with widespread application across many settings. Although traditionally measured from the 'gold standard' criterion electrocardiography (ECG), the development of wireless telemetric heart rate monitors (HRMs) extends the scope of the HRV measurement. However, the validity of telemetric-derived data against the criterion ECG data is unclear. Thus, the purpose of this study was twofold: (a) to systematically review the validity of telemetric HRM devices to detect inter-beat intervals and aberrant beats; and (b) to determine the accuracy of HRV parameters computed from HRM-derived inter-beat interval time series data against criterion ECG-derived data in healthy adults aged 19 to 62 yrs. A systematic review of research evidence was conducted. Four electronic databases were accessed to obtain relevant articles (PubMed, EMBASE, MEDLINE and SPORTDiscus. Articles published in English between 1996 and 2016 were eligible for inclusion. Outcome measures included temporal and power spectral indices (Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology (1996). The review confirmed that modern HRMs (Polar® V800™ and Polar® RS800CX™) accurately detected inter-beat interval time-series data. The HRV parameters computed from the HRM-derived time series data were interchangeable with the ECG-derived data. The accuracy of the automatic in-built manufacturer error detection and the HRV algorithms were not established. Notwithstanding acknowledged limitations (a single reviewer, language bias, and the restricted selection of HRV parameters), we conclude that the modern Polar® HRMs offer a valid useful alternative to the ECG for the acquisition of inter-beat interval time series data, and the HRV parameters computed from Polar® HRM-derived inter-beat interval time series data accurately reflect ECG-derived HRV metrics, when inter-beat interval data are processed and analyzed using identical protocols, validated algorithms and software, particularly under controlled and stable conditions

Validation of the SenseWear HR Armband for Measuring Heart Rate and Energy Expenditure

The purpose of this study was to determine the validity of the SenseWear HR Armband in measuring heart rate and energy expenditure. The SenseWear HR Armband was compared to an electrocardiogram (ECG), the Actiheart Mini Mitter and the Polar Heart Rate Monitor. Energy expenditure estimations were compared to indirect calorimetry (Cosmed\u27s K4 b2) measurement and the Actiheart Mini Mitter\u27s estimations. Thirty healthy adults (18-59 years old) participated in the study. The protocol consisted of 5-minute stages, starting with two resting stages (sitting and standing), followed by four walking stages (1.5, 2.0, 2.5 and 3.0 mph) and ending with a standing recovery stage. The SenseWear HR Armband consistently recorded higher heart rate when (2-8 bpm) compared to the ECG, the Actiheart Mini Mitter (1-3 bpm) and the Polar Heart Rate Monitor (4-8 bpm). The SenseWear Armband overestimated energy expenditure by approximately 0.5-1.0 kcal/min during the exercise stages of the protocol when compared to the indirect calorimetry measurements, while the Actiheart Mini Mitter consistently underestimated (0.5kcal.min) energy expenditure. The SenseWear HR Armband was found to be a valid device for measuring heart rate however, it consistently overestimated energy expenditure by about 10 during the exercise stages of the protoco

Validation of the SenseWear HR Armband for Measuring Heart Rate and Energy Expenditure

The purpose of this study was to determine the validity of the SenseWear HR Armband in measuring heart rate and energy expenditure. The SenseWear HR Armband was compared to an electrocardiogram (ECG), the Actiheart Mini Mitter and the Polar Heart Rate Monitor. Energy expenditure estimations were compared to indirect calorimetry (Cosmed\u27s K4 b2) measurement and the Actiheart Mini Mitter\u27s estimations. Thirty healthy adults (18-59 years old) participated in the study. The protocol consisted of 5-minute stages, starting with two resting stages (sitting and standing), followed by four walking stages (1.5, 2.0, 2.5 and 3.0 mph) and ending with a standing recovery stage. The SenseWear HR Armband consistently recorded higher heart rate when (2-8 bpm) compared to the ECG, the Actiheart Mini Mitter (1-3 bpm) and the Polar Heart Rate Monitor (4-8 bpm). The SenseWear Armband overestimated energy expenditure by approximately 0.5-1.0 kcal/min during the exercise stages of the protocol when compared to the indirect calorimetry measurements, while the Actiheart Mini Mitter consistently underestimated (0.5kcal.min) energy expenditure. The SenseWear HR Armband was found to be a valid device for measuring heart rate however, it consistently overestimated energy expenditure by about 10 during the exercise stages of the protoco

International criteria for electrocardiographic interpretation in athletes: Consensus statement.

Sudden cardiac death (SCD) is the leading cause of mortality in athletes during sport. A variety of mostly hereditary, structural or electrical cardiac disorders are associated with SCD in young athletes, the majority of which can be identified or suggested by abnormalities on a resting 12-lead electrocardiogram (ECG). Whether used for diagnostic or screening purposes, physicians responsible for the cardiovascular care of athletes should be knowledgeable and competent in ECG interpretation in athletes. However, in most countries a shortage of physician expertise limits wider application of the ECG in the care of the athlete. A critical need exists for physician education in modern ECG interpretation that distinguishes normal physiological adaptations in athletes from distinctly abnormal findings suggestive of underlying pathology. Since the original 2010 European Society of Cardiology recommendations for ECG interpretation in athletes, ECG standards have evolved quickly, advanced by a growing body of scientific data and investigations that both examine proposed criteria sets and establish new evidence to guide refinements. On 26-27 February 2015, an international group of experts in sports cardiology, inherited cardiac disease, and sports medicine convened in Seattle, Washington (USA), to update contemporary standards for ECG interpretation in athletes. The objective of the meeting was to define and revise ECG interpretation standards based on new and emerging research and to develop a clear guide to the proper evaluation of ECG abnormalities in athletes. This statement represents an international consensus for ECG interpretation in athletes and provides expert opinion-based recommendations linking specific ECG abnormalities and the secondary evaluation for conditions associated with SCD

Fetal heart rate monitoring during pregnancy for assessing the well being of the fetus

Long-term fetal heart rate (FHR) monitoring is necessary to ensure that any FHR abnormality, which may appear at any time during pregnancy and labor, can be detected. An ambulatory electrocardiogram (ECG) recorder employing three abdominal surface electrodes has been developed towards achieving such a monitoring. The difficulties encountered in determining the FHR from the maternal abdominal signal are mainly the interference due to the electromyogram and motion artifact, and relatively small amplitude of the fetal ECG compared to that of the maternal. Thus improvement to existing abdominal signal processing algorithm is necessary to increase the percentage of successful monitoring. A real-time algorithm has been developed for the simultaneous measurement of the fetal and maternal heart rates from the abdominal signal. The algorithm is based on digital filtering, adaptive thresholding, statistical properties in the time domain, and differencing of local maxima and minima. A filtering technique has been utilized in the proposed algorithm to extract the fetal signal from the maternal abdominal signal. This is an alternative to a previous method which subtracts the maternal complexes from the abdominal signal with a need to overcome the problem of matching a template to the complexes. The proposed algorithm is capable of continuous ambulatory FHR monitoring either off-line, by using recorded signals, or on-line by a clinician during antenatal examination. The performance of the algorithm has been evaluated of the heart rates tracing processed from the abdominal signals. The resulting average accuracy is 83% for the FHR detection. The detection of the FHR from the maternal abdominal signal by the developed algorithm has also been compared with a short-term monitoring commercial instrument IFM-500 for the assessment of the reliability of the algorithm. The performance achieved from the comparison shows non-significant differences of means, low error percentages and linear correlation coefficient. A portable system based on the developed algorithm has the potential for increased percentage of real-time FHR detection thus enabling successful long-term fetal monitoring

MS

thesisThe efficacy of arrhythmia detection by Coronary Care (CCU) nurses monitoring patients for 24 hours via telemetry was determined utilizing simultaneous Holter monitoring as a baseline. The medical records of 45 male patients were retrospectively reviewed. A total of 247 significant arrhythmias occurred as documented by Holter Monitoring of which 127 were documented by CCU nurses via telemetry, a 49.4% detection rate. Significant arrythmias were categorized as 1) Sinus (87.8% detected), b) Atrial (26.9& detected), c) Ventricular (38.1% detected), and d) Atrioventricular Block (33.3% detected). A comparison of arrhythmias detected between Holter monitoring and telemetry using paired t-test indicated a p value less than or equal to 0.001. Within the 45 records there were 141 physician requests for arrhythmia detection. Thirty arrhythmias actually occurred and CCU nurses documented 13 of them (43.3% detected). CCU nurses documented 114 arrhythmias which hand not been requested by physician order (50.2% detected), The sample (N=45) was divided into two groups: Group A, subjects who had never been in the CCU (N=23); and Group B subjects who had been admitted in the CCU (N=22) prior to monitoring by telemetry and Holter monitoring. The arrhythmia detection rate for Group A was 50.4% with a detection rate of 48.4% for Group B. These arrhythmias were associated with symptoms recorded by subjects in their log books. CCU nurses documented two of the symptomatic arrhythmias with strip recordings but no symptoms were narrated in the patient record. A total of 275 rhythm strips was representative of 127 significant arrhythmias: 17.5% (N-48) gad the rate narratively documented, 9.1% (N-25) had the rhythm identified in writing, and 0.4% (N=1) had the lead placement identified