Comparison of pulse rate variability with heart rate variability during obstructive sleep apnea

Khandoker, Ahsan H.; Karmakar, Chandan; Palaniswami, Marimuthu

doi:10.1016/j.medengphy.2010.09.020

Cited by 76 publications

(55 citation statements)

References 22 publications

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“…This result is in accordance with our previous report that there is a right-to-left asymmetry in the total power of pulse in normal subjects [14]. Khandoker et al [28] concluded that the PRV provides accurate inter-pulse variability to measure HRV under normal breathing in sleep but does not precisely reflect HRV in sleep disordered breathing. Their result is similar to, but slightly different from ours because we found that the PRV of either hand is not accurate enough to be the surrogate of HRV even under normal breathing in awake state.…”

Section: Discussionsupporting

confidence: 92%

A comparative study of pulse rate variability and heart rate variability in healthy subjects

Wong

et al. 2012

J Clin Monit Comput

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Both heart rate variability (HRV) and pulse rate variability (PRV) are noninvasive means for the assessment of autonomic nervous control of the heart. However, it is not settled whether or not the PRV obtained from either hand can be the surrogate of HRV. The HRV measures obtained from electrocardiographic signals and the PRV measures obtained from the pulse waves recorded from the index fingers of both hands were compared in normal subjects by using linear regression analysis and Bland and Altman method. Highly significant correlations (P < 0.001, 0.89 < r < 1.0) were found between all HRV measures and the corresponding PRV measures of both hands. However, there were insufficient agreements in some measures between pairwise comparisons among HRV, right PRV and left PRV except heart rate and ultra-low frequency power (ULFP). The PRV of either hand is close to, but not the same as the HRV in healthy subjects. The HRV, right PRV and left PRV are not surrogates of one another in normal subjects except heart rate and ULFP. Since HRV is generally accepted as the standard method for the assessment of the autonomic nervous modulation of a subject, the PRV of either hand may not be suitable for the assessment of the cardiac autonomic nervous modulation of the subject.

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Section: Discussionsupporting

confidence: 92%

A comparative study of pulse rate variability and heart rate variability in healthy subjects

Wong

et al. 2012

J Clin Monit Comput

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“…PRV analysis has been performed in multiple studies using PPG signals recorded from the finger or earlobe and report varying levels of accuracy compared to HRV (2,4,5,7,8,15,21). By comparison to ECG signals, PPG waveforms are characteristically smooth and do not contain a clearly defined and detectable 'landmark' feature.…”

Section: Introductionmentioning

confidence: 99%

Comparison of foot finding methods for deriving instantaneous pulse rates from photoplethysmographic signals

Hemon

Phillips

2015

J Clin Monit Comput

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This is the accepted version of the paper.This version of the publication may differ from the final published version. Permanent repository link ABSTRACT PurposeThe suitability of different methods of finding the foot point of a pulse as measured using earlobe photoplethysmography during stationary conditions was investigated. MethodsInstantaneous pulse period (PP) values from PPG signals recorded from the ear in healthy volunteer subjects were compared with simultaneous ECG-derived cardiac periods (RR interval). Six methods of deriving pulse period were used, each based on a different method of finding specific landmark points on the PPG waveform. These methods included maximum and minimum value, maximum first and second derivative, 'intersecting tangents' and 'diastole patching' methods. Selected time domain HRV variables were also calculated from the PPG signals obtained using multiple methods and compared with ECG-derived HRV variables. ResultsThe correlation between PPG and ECG was greatest for the intersecting tangents method compared to the other methods (RMSE = 5.69 ms, r 2 = 0.997). No significant differences between PP and RR were seen for all PPG methods, however the PRV variables derived using all methods showed significant differences to HRV, attributable to the sensitivity of PRV parameters to pulse transients and artifacts. ConclusionsThe results suggest that the intersecting tangents method shows the most promise for extracting accurate pulse rate variability data from PPG datasets. This work has applications in other areas where pulse arrival time is a key measurement including pulse wave velocity assessment. KEYWORDSPulse rate variability, photoplethysmography, foot-finding, pulse wave velocity.

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“…However, the studies have shown that there was a positive bias in the estimation by PRV variables, especially for HF components [8] and the LF/HF parameter [9]. Recently, Khandoker et al [10] compared PRV variables with HRV parameters during obstructive sleep apnea in adults and showed that PRV was different from HRV for a number of variables during apneic episodes.…”

Section: Introductionmentioning

confidence: 99%

Pulse rate variability compared with heart rate variability in children with and without sleep disordered breathing

Dehkordi

Garde

Karlen

et al. 2013

2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

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Heart Rate Variability (HRV), the variation of time intervals between heartbeats, is one of the most promising and widely used quantitative markers of autonomic activity. Traditionally, HRV is measured as the series of instantaneous cycle intervals obtained from the electrocardiogram (ECG). In this study, we investigated the estimation of variation in heart rate from a photoplethysmography (PPG) signal, called pulse rate variability (PRV), and assessed its accuracy as an estimate of HRV in children with and without sleep disordered breathing (SDB). We recorded raw PPGs from 72 children using the Phone Oximeter, an oximeter connected to a mobile phone. Full polysomnography including ECG was simultaneously recorded for each subject. We used correlation and Bland-Altman analysis for comparing the parameters of HRV and PRV between two groups of children. Significant correlation (r > 0.90, p < 0.05) and close agreement were found between HRV and PRV for mean intervals, standard deviation of intervals (SDNN) and the root-mean square of the difference of successive intervals (RMSSD). However Bland-Altman analysis showed a large divergence for LF/HF ratio parameter. In addition, children with SDB had depressed SDNN and RMSSD and elevated LF/HF in comparison to children without SDB. In conclusion, PRV provides the accurate estimate of HRV in time domain analysis but does not reflect precise estimation for parameters in frequency domain.

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Comparison of pulse rate variability with heart rate variability during obstructive sleep apnea

Cited by 76 publications

References 22 publications

A comparative study of pulse rate variability and heart rate variability in healthy subjects

A comparative study of pulse rate variability and heart rate variability in healthy subjects

Comparison of foot finding methods for deriving instantaneous pulse rates from photoplethysmographic signals

Pulse rate variability compared with heart rate variability in children with and without sleep disordered breathing

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