Real time heart rate variability assessment from Android smartphone camera photoplethysmography: Postural and device influences

Guede-Fernández, Federico; Ferrer-Mileo, V.; Ramos‐Castro, J.; Fernández-Chimeno, Mireya; García-González, M.A.

doi:10.1109/embc.2015.7320085

Cited by 20 publications

(9 citation statements)

References 11 publications

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“…Since then, other studies have aimed to extract PRV information from video and image PPG, and to understand how frame rate could affect PRV (Sun et al 2012); which colour channels (e.g. RGB, CIE, CGO) could give more reliable PRV results (Mcduff et al 2014); how the camera used for obtaining the images could alter PRV results (Guede-Fernández et al 2015); how far could the camera be positioned from the skin (Blackford et al 2016); and the effects of different techniques for obtaining PPG information from the images on PRV information (Alghoul et al 2017, Rodríguez andRamos-Castro 2018).…”

Section: Technical Considerations For Pulse Rate Variability Analysismentioning

confidence: 99%

Pulse rate variability in cardiovascular health: a review on its applications and relationship with heart rate variability

et al. 2020

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Heart rate variability has been largely used for the assessment of cardiac autonomic activity, due to the direct relationship between cardiac rhythm and the activity of the sympathetic and parasympathetic nervous system. In recent years, another technique, pulse rate variability, has been used for assessing heart rate variability information from pulse wave signals, especially from photoplethysmography, a non-invasive, non-intrusive, optical technique that measures the blood volume in tissue. The relationship, however, between pulse rate variability and heart rate variability is not entirely understood, and the effects of cardiovascular changes in pulse rate variability have not been thoroughly elucidated. In this review, a comprehensive summary of the applications in which pulse rate variability has been used, with a special focus on cardiovascular health, and of the studies that have compared heart rate variability and pulse rate variability is presented. It was found that the relationship between heart rate variability and pulse rate variability is not entirely understood yet, and that pulse rate variability might be influenced not only due to technical aspects but also by physiological factors that might affect the measurements obtained from pulse-to-pulse time series extracted from pulse waves. Hence, pulse rate variability must not be considered as a valid surrogate of heart rate variability in all scenarios, and care must be taken when using pulse rate variability instead of heart rate variability. Specifically, the way pulse rate variability is affected by cardiovascular changes does not necessarily reflect the same information as heart rate variability, and might contain further valuable information. More research regarding the relationship between cardiovascular changes and pulse rate variability should be performed to evaluate if pulse rate variability might be useful for the assessment of not only cardiac autonomic activity but also for the analysis of mechanical and vascular autonomic responses to these changes.

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Section: Technical Considerations For Pulse Rate Variability Analysismentioning

confidence: 99%

Pulse rate variability in cardiovascular health: a review on its applications and relationship with heart rate variability

et al. 2020

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“…The SPPG signal has been obtained using a smartphone application developed previously by our research group that is fully described in [26]. Briefly, the smartphone application acquires PPG from the smartphone's built-in rear camera at 30 Hz.…”

Section: Smartphone-based Photoplethysmography Applicationmentioning

confidence: 99%

A photoplethysmography smartphone-based method for heart rate variability assessment: device model and breathing influences

Guede-Fernández

Ferrer-Mileo

Mateu-Mateus

et al. 2020

Biomedical Signal Processing and Control

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“…Although methods have been proposed to reduce the impact of noise and artifacts in HRV measurement, other studies have investigated the effect of mobile phone models on the SD of beat-to-beat error measurement (SDE) of HRV indices. In 1 study, 2 different mobile phone models (Samsung S5 and Motorola) showed significant device influence in the supine posture measurement, with the Motorola model having a higher SDE than the Samsung S5 [76].…”

Section: Resultsmentioning

confidence: 99%

The Current State of Mobile Phone Apps for Monitoring Heart Rate, Heart Rate Variability, and Atrial Fibrillation: Narrative Review

Li¹,

White²,

Tipoe³

et al. 2019

JMIR Mhealth Uhealth

144

100

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Background Mobile phone apps capable of monitoring arrhythmias and heart rate (HR) are increasingly used for screening, diagnosis, and monitoring of HR and rhythm disorders such as atrial fibrillation (AF). These apps involve either the use of (1) photoplethysmographic recording or (2) a handheld external electrocardiographic recording device attached to the mobile phone or wristband. Objective This review seeks to explore the current state of mobile phone apps in cardiac rhythmology while highlighting shortcomings for further research. Methods We conducted a narrative review of the use of mobile phone devices by searching PubMed and EMBASE from their inception to October 2018. Potentially relevant papers were then compared against a checklist for relevance and reviewed independently for inclusion, with focus on 4 allocated topics of (1) mobile phone monitoring, (2) AF, (3) HR, and (4) HR variability (HRV). Results The findings of this narrative review suggest that there is a role for mobile phone apps in the diagnosis, monitoring, and screening for arrhythmias and HR. Photoplethysmography and handheld electrocardiograph recorders are the 2 main techniques adopted in monitoring HR, HRV, and AF. Conclusions A number of studies have demonstrated high accuracy of a number of different mobile devices for the detection of AF. However, further studies are warranted to validate their use for large scale AF screening.

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Real time heart rate variability assessment from Android smartphone camera photoplethysmography: Postural and device influences

Cited by 20 publications

References 11 publications

Pulse rate variability in cardiovascular health: a review on its applications and relationship with heart rate variability

Pulse rate variability in cardiovascular health: a review on its applications and relationship with heart rate variability

A photoplethysmography smartphone-based method for heart rate variability assessment: device model and breathing influences

The Current State of Mobile Phone Apps for Monitoring Heart Rate, Heart Rate Variability, and Atrial Fibrillation: Narrative Review

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