Literature DB >> 27681456

Relationships between heart-rate variability and pulse-rate variability obtained from video-PPG signal using ZCA.

Luca Iozzia1, Luca Cerina, Luca Mainardi.   

Abstract

In this paper, classical time- and frequency-domain variability indexes obtained by pulse rate variability (PRV) series extracted from video-photoplethysmography signals (vPPG) were compared with heart rate variability (HRV) parameters extracted from ECG signals. The study focuses on the analysis of the changes observed during a rest-to-stand manoeuvre (a mild sympathetic stimulus) performed on 60 young, normal subjects (age: [Formula: see text] years). The objective is to evaluate if video-derived PRV indexes may replace HRV in the assessment of autonomic responses to external stimulation. Video recordings were performed with a GigE Sony XCG-C30C camera and analyzed offline to extract the vPPG signal. A new method based on zero-phase component analysis (ZCA) was employed in combination with a fully-automatic method for detection and tracking of region of interest (ROI) located on the forehead, the cheek and the nose. Results show an overall agreement between time and frequency domain indexes computed on HRV and PRV series. However, some differences exist between resting and standing conditions. During rest, all the indexes computed on HRV and PRV series were not statistically significantly different (p  >  0.05), and showed high correlation (Pearson's r  >  0.90). The agreement decreases during standing, especially for the high-frequency, respiration-related parameters such as RMSSD (r  =  0.75), pNN50 (r  =  0.68) and HF power (r  =  0.76). Finally, the power in the LF band (n.u.) was observed to increase significantly during standing by both HRV ([Formula: see text] versus [Formula: see text] (n.u.); rest versus standing) and PRV ([Formula: see text] versus [Formula: see text](n.u.); rest versus standing) analysis, but such an increase was lower in PRV parameters than that observed by HRV indexes. These results provide evidence that some differences exist between variability indexes extracted from HRV and video-derived PRV, mainly in the HF band during standing. However, despite these differences video-derived PRV indexes were able to evince the autonomic responses expected by the sympathetic stimulation induced by the rest-to-stand manoeuvre.

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Year:  2016        PMID: 27681456     DOI: 10.1088/0967-3334/37/11/1934

Source DB:  PubMed          Journal:  Physiol Meas        ISSN: 0967-3334            Impact factor:   2.833


  9 in total

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2.  Analysis of physiological and non-contact signals to evaluate the emotional component in consumer preferences.

Authors:  Rita Laureanti; Riccardo Barbieri; Luca Cerina; Luca Mainardi
Journal:  PLoS One       Date:  2022-05-13       Impact factor: 3.752

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Journal:  Sensors (Basel)       Date:  2018-09-13       Impact factor: 3.576

5.  Pulse Rate Variability in Emergency Physicians During Shifts: Pilot Cross-Sectional Study.

Authors:  Gregory Andrew Peters; Matthew L Wong; Joshua W Joseph; Leon D Sanchez
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6.  Feasibility of assessing ultra-short-term pulse rate variability from video recordings.

Authors:  Miha Finžgar; Primož Podržaj
Journal:  PeerJ       Date:  2020-01-07       Impact factor: 2.984

7.  On the spatial phase distribution of cutaneous low-frequency perfusion oscillations.

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Journal:  Sci Rep       Date:  2022-04-09       Impact factor: 4.379

8.  Biometric Signals Estimation Using Single Photon Camera and Deep Learning.

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Journal:  Sensors (Basel)       Date:  2020-10-27       Impact factor: 3.576

9.  Heart Rate Variability Changes in Patients With Major Depressive Disorder: Related to Confounding Factors, Not to Symptom Severity?

Authors:  Jan Sarlon; Angelica Staniloiu; Andreas Kordon
Journal:  Front Neurosci       Date:  2021-07-05       Impact factor: 4.677

  9 in total

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