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Polar precision performance

Manufactured by Polar Electro
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Sourced in Finland

Polar Precision Performance is a laboratory equipment product that provides accurate and precise performance measurements. It is designed to capture and analyze data related to various physical and physiological parameters.

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Lab products found in correlation

Hr monitor rs800cx, by Polar Electro (1 mentions)

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Polar Precision Performance software Polar Precision Performance program Polar Precision Performance SW5.20 Polar Precision Performance SW 3.0

12 protocols using polar precision performance

1

Continuous Heart Rate Monitoring

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Heart rate was measured continuously using a Polar coded transmitter and recorded with a Polar Advantage interface and Polar Precision Performance software (Polar Electro Oy, Finland).
Wright Beatty H.E., Keillor J.M., Hardcastle S.G., Boulay P, & Kenny G.P. (2015). Preservation of Cognitive Performance with Age during Exertional Heat Stress under Low and High Air Velocity. BioMed Research International, 2015, 619103.
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2

Heart Rate Variability Assessment Post-Exercise

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The R-R intervals recorded by the portable heart rate (HR) monitor (with a sampling rate of 1000 Hz) were downloaded to the Polar Precision Performance program (v. 3.0, Polar Electro, Finland). The software enabled the visualization of the HR and the extraction of a cardiac period (R-R interval) file in the “txt” format. Using digital filtering complemented with manual filtering for the elimination of premature ectopic beats and artifacts, at least 256 R–R intervals were used for the data analysis. Only series with more than 95% sinus rhythm were included in the study (10 ,11 (link)). The heart rate variability (HRV) was analyzed at the following four time points after exercise: seated rest with spontaneous breathing, 0-5 min, 5-10 min and 10-15 min in the standing position. We evaluated the linear and non-linear indices of the HRV. To calculate the indices, we used the HRV Analysis software (Kubios HRV v.1.1 for Windows, Biomedical Signal Analysis Group, Department of Applied Physics, University of Kuopio, Finland)(12 (link)).
Ogata C.M., Navega M.T., Abreu L.C., Ferreira C., Cardoso M.A., Raimundo R.D., Ribeiro V.L, & Valenti V.E. (2014). A single bout of exercise with a flexible pole induces significant cardiac autonomic responses in healthy men. Clinics, 69(9), 595-600.
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3

Heart Rate Variability Analysis Protocol

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The R-R intervals recorded by the portable HR monitor (with a sampling rate of 1000 Hz) were downloaded to the Polar Precision Performance program (v. 3.0, Polar Electro, Finland). The software enabled the visualization of HR and the extraction of a cardiac period (R-R interval) file in “txt” format. Following digital filtering complemented with manual filtering for the elimination of premature ectopic beats and artifacts, at least 256 R–R intervals were used for the data analysis. Only series with more than 95% sinus rhythm was included in the study [15 (link)-17 (link)]. HRV was analyzed at four moments: seated rest with spontaneous breathing, 0–5 minutes, 5–10 minutes and 10–15 minutes at standing position. We evaluated the linear and non-linear indices of HRV. For calculation of the indices we used the HRV Analysis software (Kubios HRV v.1.1 for Windows, Biomedical Signal Analysis Group, Department of Applied Physics, University of Kuopio, Finland) [18 (link),19 ].
de Souza A.C., Cisternas J.R., de Abreu L.C., Roque A.L., Monteiro C.B., Adami F., Vanderlei L.C., Sousa F.H., Ferreira L.L, & Valenti V.E. (2014). Fractal correlation property of heart rate variability in response to the postural change maneuver in healthy women. International Archives of Medicine, 7, 25.
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4

Heart Rate Variability Analysis Protocol

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The RR intervals recorded by the portable RS800CX HR monitor (sampling rate, 1000 Hz) were downloaded to the Polar Precision Performance program (version 3.0; Polar Electro, Kempele, Finland). This software enabled the visualization of HR and the extraction of a cardiac period (RR interval) file in “.txt” format. Following digital filtering complemented with manual filtering for the elimination of premature ectopic beats and artifacts, at least 256 RR intervals were used for the data analysis. Only those series with more than 95% sinus rhythm were included in the study.5 (link) For calculation of the linear indices, we used the HRV analysis software (Kubios HRV version 1.1 for Windows; Biomedical Signal Analysis Group, Department of Applied Physics, University of Kuopio, Kuopio, Finland).
do Amaral J.A., Guida H.L., de Abreu L.C., Barnabé V., Vanderlei F.M, & Valenti V.E. (2015). Effects of auditory stimulation with music of different intensities on heart period. Journal of Traditional and Complementary Medicine, 6(1), 23-28.
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5

Heart Rate Variability Analysis Procedure

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The R-R intervals recorded by the portable RS800CX heart rate (HR) monitor (with a sampling rate of 1000 Hz) were downloaded to the Polar Precision Performance program (v. 3.0, Polar Electro, Finland). The software enabled the visualization of HR and the extraction of a cardiac period (R-R interval) file in “txt” format. Following digital filtering complemented with manual filtering for the elimination of premature ectopic beats and artifacts, at least 256 R–R intervals were used for the data analysis. Only series with more than 95% sinus rhythm was included in the study [17 (link)]. For calculation of the linear indices were used the HRV Analysis software (Kubios HRV v.1.1 for Windows, Biomedical Signal Analysis Group, Department of Applied Physics, University of Kuopio, Finland).
dos Santos António A.M., Navega M.T., Cardoso M.A., Abreu L.C, & Valenti V.E. (2014). Cardiac autonomic responses induced by a single bout of exercise with flexible pole. International Archives of Medicine, 7, 40.
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6

Heart Rate Variability Analysis Protocol

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The R-R intervals recorded by the portable HR monitor (with a sampling rate of 1000 Hz) were downloaded to the Polar Precision Performance program (v. 3.0, Polar Electro, Finland). The software enabled the visualization of HR and the extraction of a cardiac period (R-R interval) file in "txt" format. Following digital filtering complemented with manual filtering for the elimination of premature ectopic beats and artifacts, at least 256 R–R intervals were used for the data analysis. Only series with more than 95% sinus rhythm was included in the study. We evaluated the linear and non-linear indices of HRV. For calculation of the indices we used the HRV Analysis software (Kubios HRV v.1.1 for Windows, Biomedical Signal Analysis Group, Department of Applied Physics, University of Kuopio, Finland)
[12 (link)].
Cunha D.S., de Abreu L.C., Frizzo A.C., Cardoso M.A, & Valenti V.E. (2014). Vocal complaint in physical education teachers and its association with the cardiovascular system. International Archives of Medicine, 7, 7.
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7

Field Walking Test Metabolic Evaluation

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During the 3 field walking tests, a portable metabolic system (VO2000, Medical Graphics, St Paul, Minnesota) was used to measure pulmonary gas exchange. Before every test, the system was calibrated according to the manufacturer's recommendations. Measurements were performed at rest in the sitting position and during each field walking test. Metabolic and ventilatory variables were recorded breath by breath and expressed as 30 s means. Heart rate (Polar Precision Performance, Polar Electro Oy, Kem-skin, Finland) and oxygen saturation (S pO 2 ) (Model 9500, Nonin, Onyx 9500 Digital Fingertip Pulse Oximeter, Plymouth, Minnesota) were continuously measured during the test. Arterial blood pressure and Borg scale (0-10) score for dyspnea and lower limb fatigue were obtained at rest and at the end of each test. Data from the test with longest distance walked for both the 6MWT and the ISWT were used for analysis. Maximum predicted heart rate was estimated by 220 À age in years. Exercise intensity was classified based on a percentage of maximum heart rate achieved at the peak of field walking tests as follows: light intensity was from 40 to < 55%, moderate intensity was from 55 to < 70%, vigorous intensity was from 70 to < 90%, and high intensity was $ 90%. 21 A decrease in S pO 2 between rest and exercising (DS pO 2 ) of $ 4% was considered desaturation. 22
Corso S.D., Boldorini J.C., de Camargo A.A., José A., Rached S.Z., Athanazio R.A., Stelmach R, & Holland A.E. (2020). Physiological Responses During Field Walking Tests in Adults with Bronchiectasis. Respiratory care, 65(5).
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8

Heart Rate Variability Analysis Protocol

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The R-R intervals recorded by the portable HR monitor (with a sampling rate of 1000 Hz) were downloaded to the Polar Precision Performance program (v. 3.0, Polar Electro, Finland). The software enabled the visualization of HR and the extraction of a cardiac period (R-R interval) file in "txt" format. Following digital filtering complemented with manual filtering for the elimination of premature ectopic beats and artifacts, at least 256 R–R intervals were used for the data analysis. Only series with more than 95% sinus rhythm was included in the study
[9 ,14 ]. For calculation of the indices we used the HRV Analysis software (Kubios HRV v.1.1 for Windows, Biomedical Signal Analysis Group, Department of Applied Physics, University of Kuopio, Finland).
da Silva S.A., Guida H.L., dos SantosAntônio A.M., Vanderlei L.C., Ferreira L.L., de Abreu L.C., Sousa F.H, & Valenti V.E. (2014). Auditory stimulation with music influences the geometric indices of heart rate variability in men. International Archives of Medicine, 7, 27.
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9

Aerobic Step Training Protocol

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Aerobic training consisted of stepping onto a platform (20 cm high, 60 cm wide and 60 cm long). The training intensity was set at a cadence corresponding to 60–80% of the maximum stepping cadence achieved on the modified incremental step test (MIST) [12 (link)], performed during baseline. During the training sessions, target heart rate, dyspnoea and fatigue were established as markers of training intensity [17 (link), 18 (link)]. The heart rate was measured using a heart rate monitor (Polar Precision Performance; Polar Electro, Kem-pele, Finland). If participants reported a score for dyspnoea and/or fatigue <4 and/or a target training heart rate below the one established, the exercise intensity was increased by one stepping speed level.
José A., Holland A.E., Selman J.P., de Camargo C.O., Fonseca D.S., Athanazio R.A., Rached S.Z., Cukier A., Stelmach R, & Dal Corso S. (2021). Home-based pulmonary rehabilitation in people with bronchiectasis: a randomised controlled trial. ERJ Open Research, 7(2), 00021-2021.
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10

Portable HR Monitor for HRV Analysis

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The portable RS800CX heart rate (HR) monitor was essential to record RR intervals with a sampling rate of 1 kHz. The RR intervals were transferred to the Polar Precision Performance program (v.3.0, Polar Electro, Finland). The Polar transmitter distinguishes all heart beats in the left ventricular muscle and the data recorded, transmitting the signal to the computer via an infrared method through a wireless technology. The software enabled the visualization and the extraction of a cardiac period (RR interval) file in “txt” format.
Details of HRV analysis have been published previously37 (link),38 (link) and follow directives from the Task Force7 (link). Throughout RR interval recording, we monitored the respiratory rate that wavered between 9 and 13 cycles per minute.
To evaluate the parasympathetic regulation of HR we analysed pNN50 (percentage of adjacent RR intervals with a difference of duration greater than 50 milliseconds), RMSSD (root-mean square of differences between adjacent normal RR intervals) in the time domain, high frequency band of spectral analysis (HF: 0.15 Hz to 0.4 Hz) in absolute units in the frequency domain and the SD1 Poincaré plot (standard deviation of the instantaneous variability of the beat-to-beat heart rate). We employed the Kubios® HRV v. 2.0 software to compute these indices39 .
de Góes V.B., Frizzo A.C., Oliveira F.R., Garner D.M., Raimundo R.D, & Valenti V.E. (2019). Interaction Between Cortical Auditory Processing and Vagal Regulation of Heart Rate in Language Tasks: A Randomized, Prospective, Observational, Analytical and Cross-Sectional Study. Scientific Reports, 9, 4277.
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