Hrv premium 3

Manufactured by Kubios

Sourced in Finland

The HRV Premium 3.1 is a software package developed by Kubios for the analysis of heart rate variability (HRV). The software provides tools for the processing and analysis of HRV data, allowing users to extract various HRV parameters from recorded heart rate signals.

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Lab products found in correlation

5 protocols using hrv premium 3

Biofeedback Resonance Frequency Analysis

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To assess the impact of Osc+ versus Osc− biofeedback during training sessions, we used Kubios HRV Premium 3.1 software to compute autoregressive spectral power for each training session (as an exploratory outcome measure). We extracted the summed power within the 0.063–0.125 Hz range for each participant (corresponding with 8–16 s, a range encompassing paces used by Osc+ participants for their breathing) to obtain a measure of resonance frequency oscillatory activity during biofeedback. Before conducting statistical analyses, we log transformed the power values.

Nashiro K., Yoo H.J., Cho C., Min J., Feng T., Nasseri P., Bachman S.L., Lehrer P., Thayer J.F, & Mather M. (2022). Effects of a Randomised Trial of 5-Week Heart Rate Variability Biofeedback Intervention on Cognitive Function: Possible Benefits for Inhibitory Control. Applied Psychophysiology and Biofeedback, 48(1), 35-48.

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Ear Sensor Measurements During rsfMRI Scans

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As previously described [35] (link), [36] (link), [49] , [70] (link), participants wore an ear sensor to measure their pulse during the 7-minute rsfMRI scan. Heart rate and heart rate variability (root mean square of successive differences between normal heartbeats [RMSSD]) were calculated using Kubios HRV Premium 3.1 software [61] (link).

Sible I.J., Yoo H.J., Min J., Nashiro K., Chang C., Nation D.A, & Mather M. (2023). Short-term blood pressure variability is inversely related to regional amplitude of low frequency fluctuations in older and younger adults. Aging Brain, 4, 100085.

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Analyzing Heart Rate Variability

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The pulse data recorded by emWave pro software and sensor unit were saved in a database file on the laptop. The database file was also transferred to a remote server via internet connection by custom software. Interbeat interval (IBI) data were exported from the database file for HRV analysis. We used Kubios HRV Premium 3.1(Tarvainen et al., 2014 (link)) to compute autoregressive spectral power for each training session and for the baseline rest session (a 5-min session before lab training session) in the lab in Week 2 (Fig. 2E–F; see Supplementary Materials for more details).

Nashiro K., Min J., Joo Yoo H., Cho C., Bachman S.L., Dutt S., Thayer J.F., Lehrer P., Feng T., Mercer N., Nasseri P., Wang D., Chang C., Marmarelis V.Z., Narayanan S., Nation D.A, & Mather M. (2022). Increasing coordination and responsivity of emotion-related brain regions with a heart rate variability biofeedback randomized trial. Cognitive, affective & behavioral neuroscience, 23(1), 66-83.

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ECG Analysis for Sleep Stages

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ECG (electrocardiogram) analysis was carried out using Kubios HRV Premium 3.2.0 (Kubios Oy, Kuopio). Therefore, the ECG signal for pre-sleep (lights off to the first stage of N1) and the whole night (lights off to lights on) was exported in EDF+-format using BrainVisionAnalyzer Version 2.0 (Brain Products GmbH, Gilching). Kubios HRV Premium offers an automatic artifact correction based on the RR series (the interval between two R-signals) to eliminate ectopic beats and artifacts in unfiltered data.31 Afterwards, data were analyzed in a time and frequency domain and subsequently used for the calculation of the mean heart rate (mean HR measured in beats per minute) which served as an index for physiological arousal.32 (link) Furthermore, Kubios provides an index to analyze the tone of the parasympathetic nervous system (PNS) and sympathetic nervous system (SNS). We used the PNS- and SNS-indexes to evaluate an appropriate measure for physiological stress. The PNS-index is a PNS tone index based on mean RR whereas the SNS-index is an SNS tone index to evaluate stress which is based on Mean HR.31

Combertaldi S.L, & Rasch B. (2020). Healthy Sleepers Can Worsen Their Sleep by Wanting to Do so: The Effects of Intention on Objective and Subjective Sleep Parameters. Nature and Science of Sleep, 12, 981-997.

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Quantitative ECG Analysis Using Kubios

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For the analysis of ECG, we used Kubios HRV Premium 3.2.0 (Kubios Oy, Kuopio, Finland). Therefore, the ECG signal for the whole night (lights-off to lights-on) was exported in EDF+-format using BrainVision Analyzer Version 2.0 (Brain Products GmbH, Gilching, Germany). Kubios HRV Premium offers an automatic artifact correction based on RR series to eliminate ectopic beats and artifacts on unfiltered data [22 ]. Afterward, data were analyzed in time and frequency domain and used for calculation the mean heart rate (mean HR, in beats per minutes (bpm)) and mean RR-interval (mean RR, in milliseconds) as an index for physiological arousal [42 (link)]. Additionally, we used the HRV triangular index and the PNS, SNS, and stress indices provided by Kubios to evaluate an index for physiological stress. PNS index is a parasympathetic nervous system (PNS) tone index based on mean RR, whereas in the SNS index, the sympathetic nervous system (SNS) reflects based on mean HR [22 ].

Combertaldi S.L., Wick A.Z, & Rasch B. (2022). The Intention to React to Sounds Induces Sleep Disturbances and Alters Brain Responses to Sounds during Sleep: A Pilot Study. Clocks & Sleep, 4(4), 561-576.

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