Heart Rate Variability Recording With Elite HRV Application and Polar V800

Reliability and Validity Clinical Trial

Official title: Comparation of Heart Rate Variability Recording With Elite HRV Application and Polar V800 for the Analysis in Healthy Adults

Status Active, not recruiting

Clinical Trial Summary

The Elite HRV is a reliable HRV analysis tool and could be a valid option to replace the Polar V800. The objective of study is Comparing the HRV index recorded with the mobile app Elite HRV and with the multisport watch Polar V800. Individuals will submit to two RR interval recordings with a Polar H7 strap that sent the data either to the Polar V800 heart rate monitor or to the Elite HRV app. The volunteers will supine position and breathing spontaneously, and the RR intervals will collect during 25 minutes. Subsequently, without warning the subject, the strap will connect to a nother device, and the second 25minute evaluation was made. The order in which the devices will use is randomized and the HRV indexes will generated via Kubios HRV.

Clinical Trial Description

Sample Characterization Before starting the evaluation, an anamnesis will apply, in order to know the individual characteristics of each candidate and verify if he eligible. In addition, anthropometric variables such as weight, height and Body Mass Index will perform to characterize the individuals. Heart Rate Variability (HRV) Heart rate will recorded beat by beat using a heart rate meter (Polar H10, Polar Electro, Kempele, Finland) at a sampling rate of 5 kHz to assess cardiac autonomic modulation. With the chest strap and the receiving and recording device (Elite HRV and Polar V800), the subjects will be positioned in the supine position and remained at rest with spontaneous breathing for 25 min. The laboratory temperature was controlled at 20°C, and data classification was performed in the morning or afternoon, always with a minimum fasting of 2 hours. Participants ask to avoid consuming coffee, chocolate or alcohol and taking medication the night before. Then, without notifying the subject, the strap will be connect to the other receiving device and a new 25-minute collection will perform. For analysis of HRV data, the last 20 minutes of each collection will select. In the future, the first 1000 beat intervals were chosen and only series with more than 95% of sinus beats were included in the study, totaling 1000 consecutive RR intervals. HRV analysis was performed using linear methods, analyzed in the time and frequency domains, according to the guidelines of the Task Force of the European Society of Cardiology and the North American Society of Stimulation and Electrophysiology. STATISTICAL ANALYSIS To determine the difference between the device data, the one-sample t-test will be use. Pearson's correlation coefficient was chosen to evaluate the correlation and it was considered null, weak, moderate, strong, very strong or perfect, when, respectively, r=0; r=0 to 0.3; r=0.3 to 0.6; r=0.6 to 0.9; r=0.9 to 1; r=1. Bland Altman Plots with limits of agreement of 95% were constructed for all indices in order to assess agreement and bias between the different forms of HRV capture. In addition, to analyze the presence of proportion bias, linear regression was used and in case of non-significance, the hypothesis of proportion bias was discarded. We also used Multiple Analysis of Variance (MANOVA) for comparison between Groups (started with Elite HRV versus started with Polar) with Repeated Measures for comparison within Devices (Elite HRV versus Polar). ANOVA one-way with repeated measures for comparisons of Devices (without order comparison) was done to determine p value and effect size. Values of p <0.05 were considered significant. The statistical package used was the Statistical Package for Social Sciences (SPSS; IBM, Chicago, Illinois, USA), version 26.0. ;

Related Conditions & MeSH terms

• Reliability and Validity

• NCT number: NCT05636761
• Study type: Observational
• Source: University of Sao Paulo
• Status: Active, not recruiting
• Start date: April 13, 2020
• Completion date: February 15, 2023