Evidence map›Paper›PMID 30730027›Full record

ArticleMedical & biological engineering & computing2019

Comparison of short-term heart rate variability indexes evaluated through electrocardiographic and continuous blood pressure monitoring.

Riccardo Pernice, Michal Javorka, Jana Krohova, Barbora Czippelova, Zuzana Turianikova, Alessandro Busacca, Luca Faes, Member, IEEE

Registry-linked trialAbstract readComparative Study
PubMed Publisher
In one paragraph

Article in Medical & biological engineering & computing, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05090995 (A Photoplethysmography Sensor-based Personalized Feedback Intervention for Heavy-drinking Young Adults Targeting Heart Rate Variability, Resting Heart Rate, and Sleep), which is not on this map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT05090995 nacompletednot on this mapstarted 2022, after this paper: background citation

A Photoplethysmography Sensor-based Personalized Feedback Intervention for Heavy-drinking Young Adults Targeting Heart Rate Variability, Resting Heart Rate, and Sleep

TypeinterventionalSponsorYale UniversityRan2022 to 2023Enrolled60ConditionsHeavy Drinking, Harmful, Use, AlcoholArmsBehavioral Self-Management and Feedback, Behavioral Self-Management
3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  6. A fast sample entropy for pulse rate variability analysis.Medical & biological engineering & computing · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Riccardo PerniceDepartment of Engineering, University of Palermo, Viale delle Scienze, Building 9, 90128, Palermo, Italy. riccardo.pernice@unipa.it.ORCID http://orcid.org/0000-0002-9992-3221
Michal JavorkaDepartment of Physiology and the Biomedical Center Martin, Jessenius Faculty of Medicine, Comenius University in Bratislava, Martin, Slovakia.
Jana KrohovaDepartment of Physiology and the Biomedical Center Martin, Jessenius Faculty of Medicine, Comenius University in Bratislava, Martin, Slovakia.
Barbora CzippelovaDepartment of Physiology and the Biomedical Center Martin, Jessenius Faculty of Medicine, Comenius University in Bratislava, Martin, Slovakia.
Zuzana TurianikovaDepartment of Physiology and the Biomedical Center Martin, Jessenius Faculty of Medicine, Comenius University in Bratislava, Martin, Slovakia.
Alessandro BusaccaDepartment of Engineering, University of Palermo, Viale delle Scienze, Building 9, 90128, Palermo, Italy.
Luca FaesDepartment of Engineering, University of Palermo, Viale delle Scienze, Building 9, 90128, Palermo, Italy.
Member, IEEE

Funding

Horizon 2020 Framework Programme ASTONISH, H2020-EU.2.1.1.7. ? ECSELMinisterstvo ?kolstva, vedy v?skumu a ?portu Slovenskej republik project ?Biomedical Center Martin? ITMS code: 26220220187, co-financed from EU sourcesMinisterstvo ?kolstva, vedy, v?skumu a ?portu Slovenskej republiky (SK) APVV-0235-12VEGA VEGA 1/0117/17VEGA VEGA 1/0202/16
6 · The paper itself

Abstract

Heart rate variability (HRV) analysis represents an important tool for the characterization of complex cardiovascular control. HRV indexes are usually calculated from electrocardiographic (ECG) recordings after measuring the time duration between consecutive R peaks, and this is considered the gold standard. An alternative method consists of assessing the pulse rate variability (PRV) from signals acquired through photoplethysmography, a technique also employed for the continuous noninvasive monitoring of blood pressure. In this work, we carry out a thorough analysis and comparison of short-term variability indexes computed from HRV time series obtained from the ECG and from PRV time series obtained from continuous blood pressure (CBP) signals, in order to evaluate the reliability of using CBP-based recordings in place of standard ECG tracks. The analysis has been carried out on short time series (300 beats) of HRV and PRV in 76 subjects studied in different conditions: resting in the supine position, postural stress during 45° head-up tilt, and mental stress during computation of arithmetic test. Nine different indexes have been taken into account, computed in the time domain (mean, variance, root mean square of the successive differences), frequency domain (low-to-high frequency power ratio LF/HF, HF spectral power, and central frequency), and information domain (entropy, conditional entropy, self entropy). Thorough validation has been performed using comparison of the HRV and PRV distributions, robust linear regression, and Bland-Altman plots. Results demonstrate the feasibility of extracting HRV indexes from CBP-based data, showing an overall relatively good agreement of time-, frequency-, and information-domain measures. The agreement decreased during postural and mental arithmetic stress, especially with regard to band-power ratio, conditional, and self-entropy. This finding suggests to use caution in adopting PRV as a surrogate of HRV during stress conditions.

Indexed as

Blood Pressure DeterminationElectrocardiographyAdolescentFemaleHeart RateHumansMalePulseRegression AnalysisTime FactorsContinuous blood pressure (CBP)Electrocardiography (ECG)Heart rate variability (HRV)Photoplethysmography (PPG)Pulse rate variability (PRV)Time series analysis

Identifiers

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.