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Polar precision performance software

Manufactured by Polar Electro
Sourced in Finland

Polar Precision Performance software is a data analysis tool designed to process and interpret physiological data collected from Polar sports and fitness devices. The software provides users with detailed metrics and insights related to their workout performance and training progress.

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11 protocols using polar precision performance software

1

Heart Rate Monitoring using Polar RS800CX

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The Polar RS800CX Heart Rate Monitor (Polar, Kempele, Finland) was placed just below the chest, with sampling at 1000 Hz to collect HR (beat-by-beat) during the whole test. HR data were downloaded using Polar Precision Performance Software (Polar).
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2

Heart Rate Variability Spectral Analysis

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Data were error-corrected and processed according to Hagen et al. [33 (link)] using the Polar Precision Performance Software, version 4.03.050 (Polar Electro Oy, Kempele, Finland), and Kubios, version 2.0 (Biosignal Analysis and Medical Imaging Group, Department of Applied Physics, University of Eastern Finland, Kuopio, Finland). To account for the respiratory rate, frequency bands were set to 0.04–0.2 Hz for the low frequency band and 0.2–0.58 Hz for the high frequency band [30 (link)]. The following parameters were statistically analysed: mean heart rate (HR); time domain: standard deviation of the inter-beat intervals (SDNN) and square root of the mean squared differences of successive inter-beat intervals (RMSSD); frequency domain (using a fast Fourier transform): normalised powers of high (HF) and low frequency (LF), LF/HF power ratio (LF/HF).
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3

Heart Rate Variability Analysis Protocol

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The series of RR-intervals (RRi) recorded during rest and recovery were directed to a microcomputer, by infrared transmission to the Polar Precision Performance software (Polar Inc., Kempele, Finland). After a visual inspection, ectopic beats and artifacts were manually corrected by an expert (J.N.). Then, trend component removal of the time series was carried out according to the “a priori” smoothing method (Tarvainen et al., 2002 (link)), and interpolation using cubic splines at a frequency of 4 Hz was thus applied to extract equally spaced samples, thereby ensuring series of normal RR-intervals (NN). In sequence, the HR average value of the initial 5 min (rest) and HR-values in each 30-s window during the initial 5 min of recovery were calculated.
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4

Heart Rate Variability Analysis Protocol

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The RR intervals recorded by the Polar RS800CX Heart Rate monitor (with a sampling rate of 1,000 Hz) were transferred to the Polar Precision Performance software (v. 3.0, Polar Electro, Finland). The software allowed visualization of the HR and the extraction of a file relating to a cardiac period (RR interval) in a “txt” file. In the digital filtering, the Polar Trainer program identified artefacts and ectopic beats through moderate grade analysis. Manual filtering was performed using Microsoft Office Excel 2013 through visual analysis. After digital filtering was performed, the Polar Trainer program was supplemented with manual filtering to eliminate artefacts and premature ectopic beats; 256 RR intervals were used for data analysis. Only series with more than 95% of sinus beats were included in the study. Time-frequency domain analysis was performed with HRV analysis software (HRV Kubios v.1.1 for Windows, Biomedical Signal Analysis Group, University of Kuopio, Finland).[17 (link)]
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5

Cardiovascular and Metabolic Biomarkers

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Resting HR was measured using a monitor (Suunto Smart Belt, Finland), and later analyzed using Polar Precision Performance software (SW 4.03.043 Polar, Kempele), with the subject lying supine for 5 min. Mean resting HR was taken over the last 3 min. BP was measured twice using an automatic brachial cuff (Omron M6 Comfort, Omron Healthcare Europe B.V. Kruisweg 577–2132 NA, Hoofddorp, The Netherlands) in a seated position at 1–2 min intervals. Mean BP is reported. Blood lipids, including serum CHOL, triglycerides, HDL, and plasma glucose, were analyzed by KonelabTM 20 XTi (Thermo Fisher Scientific Oy, Vantaa, Finland). The reportable range for CHOL, triglycerides, and HDL assays were 0.1 – 15, 0.09 – 11, and 0.04 – 2.84 mmol.L-1, respectively. Intra- and inter-assay coefficients of variance were 1.1 and 2.1% for CHOL, 1.0 and 3.8% for triglycerides, and 0.5 and 7.6% for HDL, respectively. LDL was calculated using the Friedewald et al. (1972) (link) equation. Sensitivity and intra- and inter-assay coefficients of variance for glucose were 0.1 mmol.L-1, 1.0 and 2.0%, respectively.
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6

Heart Rate Variability Analysis Procedure

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Inter-beat intervals were error-corrected and processed according to Hagen et al. (2005 (link)) using the Polar Precision Performance Software, version 4.03.050 (Polar Electro Oy, Kempele, Finland), and HR and HRV parameters were calculated using Kubios, version 2.0 (Biosignal Analysis and Medical Imaging Group, Department of Applied Physics, University of Eastern Finland, Kuopio, Finland). To account for the respiratory rate, frequency bands were set to 0.04–0.2 Hz for the low frequency band and 0.2–0.58 Hz for the high frequency band (von Borell et al., 2007 (link)). The following parameters were analyzed statistically: mean heart rate (HR); time domain: standard deviation of the inter-beat intervals (SDNN) and square root of the mean squared differences of successive inter-beat intervals (RMSSD), and the ratio of RMSSD and SDNN (RMSSD/SDNN); frequency domain (using fast Fourier transform): normalized powers of high (HF) and low frequency (LF), and the ratio of LF and HF (LF/HF).
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7

Heart Rate Variability Analysis Protocol

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For HRV analysis, the beat-by-beat recording was obtained at a sampling rate of 1 kHz at the instants described above. Chronologically, these datasets were digitally filtered using standard filter Polar Precision Performance software (Polar Electro, Regarding the linear indexes, the time domain analysis, was achieved by calculating rMSSD (root-mean square of differences between adjacent normal RR intervals in a time interval expressed in milliseconds) and SDNN (standard deviation of all normal RR intervals expressed in milliseconds). In the frequency domain, analysis was performed by computing spectral components of low (LF: 0.04 to 0.15 Hz) and high (HF: 0.15 to 0.40 Hz) frequency, in milliseconds (ms 2 ) and normalized units (nu). The spectral analysis was computed using the Fast-Fourier transform (FFT) (Vanderlei et al, 2009) .
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8

Circadian Rhythm Impact on Heart Rate

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Data collection was commenced at room temperature between 21 and 25 °C, and with humidity between 50 and 60%. Patients were instructed to not ingest alcohol, caffeine, or other autonomic stimulants for 24 h prior to evaluation. Data collection was achieved individually between 18:00 and 21:00 to standardize circadian influences [27 (link)]. Patients were instructed to remain in the sitting position, at rest, and to avoid conversation during the experiment. Individuals with FVC < 50% were not under ventilation support during recording.
After the initial evaluation, the heart-monitor belt was then placed over the thorax, and aligned with the distal third of the sternum and the Polar RS800CX heart-rate receiver (Polar Electro, Finland). RR intervals were recorded with a sampling rate of 1 kHz. They were then transferred to Polar Precision Performance software (v. 3.0, Polar Electro, Finland). This software allowed for heart-rate visualization and the extraction of a file relating to a cardiac period (RR interval) in a txt file. After digital filtering supplemented with manual filtering to eliminate artefacts, 1000 RR intervals were applied for data analysis. We included only series with >95% sinus beats [28 (link)].
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9

Continuous Heart Rate Monitoring in Cows

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On d 1, we recorded continuous HR and HR variability continuously on 10 cows during the sampling period using Polar HR monitors (RS800; Polar Electro Oy, Helsinki, Finland). A Polar HR strap was fastened firmly around the thorax, directly behind the shoulder, with the monitors attached. At each electrode contact point, ultrasound transmission gel (Aquasonic 100; Parker Laboratories Inc., Fairfield, NJ) was applied to the area, from which the hair had been removed. We used Polar software (Polar Precision Performance Software, version 4.03; Polar Electro Oy) to extract continuous recordings of HR and inter-beat interval (R-R interval, the time interval between consecutive beats), and we calculated the root mean square of successive differences (RMSSD). Because inter-beat interval is prone to measurement errors (Marchant-Forde et al., 2004) , we used the correction function in the Polar software to correct for artifacts.
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10

Measuring Heart Rate Variability

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Heart rate was continuously recorded using a Polar heart rate monitor (Polar RS800CX). Data from the Polar device were transferred to a personal computer using the Polar electro interface. Prior to HRV analysis, the measured RR interval data were preprocessed for artifacts using the Polar Precision Performance software that came with the heart rate monitor. Heart rate and HRV were analyzed in 5-minute intervals using Kubios HRV version 2.0 software. 38 The root mean square of differences between adjacent normal RR intervals (RMSSD) was calculated as a time domain measure of HRV.
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