Comparison of short-term heart rate variability indexes evaluated through electrocardiographic and continuous blood pressure monitoring.
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...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 57; no. 6; pp. 1247 - 1264 |
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| Autores principales: | , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Jun2019
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=136505529&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 136505529 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Jun2019 vid: 57 iid: 6 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 136505529 136505529 NLM30730027 136505529 10.1007/s11517-019-01957-4 NLM30730027 136505529 ppf: 1247 ppct: 17 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Comparison of short-term heart rate variability indexes evaluated through electrocardiographic and continuous blood pressure monitoring. aug: au: Pernice, Riccardo Javorka, Michal Krohova, Jana Czippelova, Barbora Turianikova, Zuzana Busacca, Alessandro Faes, Luca affil: Department of Engineering, University of Palermo, Viale delle Scienze, Building 9, 90128, Palermo, Italy sug: subj: Electrocardiography Heart Rate Physiology Blood Pressure Determination Time Factors Female Pulse Regression Male Adolescence Human Validation Studies Comparative Studies Evaluation Research Multicenter Studies Scales Short Portable Mental Status Questionnaire Funding Source Adolescent: 13-18 years Female Male ab: 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. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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