Loading, Plotting, and Filtering RR Intervals

García, Constantino A.; Quintana, Abraham Otero; Vila, Xosé A.; Touriño, María José Lado; Rodríguez-Liñares, Leandro; Presedo, J.; Penín, Arturo José Méndez

doi:10.1007/978-3-319-65355-6_2

Cited by 1 publication

(2 citation statements)

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“…This fact is not unique to our study; other researchers have also reported this issue [23, 24]. The usual method for detecting these parts in the signal is to compare all subsequent RR durations with a median duration, and if the absolute difference is higher than a threshold, then, that RR interval is dropped and it is skipped in the later computations.…”

Section: Methodsmentioning

confidence: 76%

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Analysis of a Pulse Rate Variability Measurement Using a Smartphone Camera

Bánhalmi

Borbás

Fidrich

et al. 2018

Journal of Healthcare Engineering

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Background Heart rate variability (HRV) provides information about the activity of the autonomic nervous system. Because of the small amount of data collected, the importance of HRV has not yet been proven in clinical practice. To collect population-level data, smartphone applications leveraging photoplethysmography (PPG) and some medical knowledge could provide the means for it. Objective To assess the capabilities of our smartphone application, we compared PPG (pulse rate variability (PRV)) with ECG (HRV). To have a baseline, we also compared the differences among ECG channels. Method We took fifty parallel measurements using iPhone 6 at a 240 Hz sampling frequency and Cardiax PC-ECG devices. The correspondence between the PRV and HRV indices was investigated using correlation, linear regression, and Bland-Altman analysis. Results High PPG accuracy: the deviation of PPG-ECG is comparable to that of ECG channels. Mean deviation between PPG-ECG and two ECG channels: RR: 0.01 ms–0.06 ms, SDNN: 0.78 ms–0.46 ms, RMSSD: 1.79 ms–1.21 ms, and pNN50: 2.43%–1.63%. Conclusions Our iPhone application yielded good results on PPG-based PRV indices compared to ECG-based HRV indices and to differences among ECG channels. We plan to extend our results on the PPG-ECG correspondence with a deeper analysis of the different ECG channels.

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Section: Methodsmentioning

confidence: 76%

“…The condition for accepting an RR interval during our experiments was that MedRR/1.2 < RR < MedRR∗1.2, where MedRR is the median of all RRs (durations between subsequent peaks). This method is very similar to the artifact filtering techniques mentioned in other studies [24, 25]. …”

Section: Methodsmentioning

confidence: 82%