Validation of a New Heart Rate Measurement Algorithm for Fingertip Recording of Video Signals with Smartphones

Koenig, Nicole; Seeck, Andrea; Eckstein, Jens; Mainka, Andreas; Huebner, Thomas; Voss, Andreas; Weber, Stefan

doi:10.1089/tmj.2015.0212

Cited by 55 publications

(47 citation statements)

References 20 publications

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“…The Heartbeats algorithm (Version 20171120) analyses PPG signals recorded by a standard smartphone camera as described elsewhere 10 . The algorithm discriminates between SR and absolute arrhythmia consistent with AF, using a complex non-linear combination analysis comprising beat-to-beat changes of pulse wave time intervals and pulse wave morphology 10 , 11 . Prior to rhythm analysis, the algorithm performs an automatic data quality check by analysing signal-to-noise ratio and accelerometer data.…”

Section: Methodsmentioning

confidence: 99%

“…At the same time, medical-grade smartphone apps based on photoplethysmography (PPG) signal analysis constitute a promising, non-invasive and cost-effective option for AF screening. Without the need for additional devices and fully functional on a device that is present around the globe, these PPG-based apps record signals from the patient’s fingertip, solely using the built-in smartphone camera 10 , 11 . As shown in recent trials, the PPG-based apps can differentiate between AF and sinus rhythm (SR) with a sensitivity and specificity of ≥90% 11 .…”

Section: Introductionmentioning

confidence: 99%

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Detection of atrial fibrillation with a smartphone camera: first prospective, international, two-centre, clinical validation study (DETECT AF PRO)

et al. 2018

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Detection of atrial fibrillation with a smartphone camera: first prospective, international, two-centre, clinical validation study (DETECT AF PRO)

et al. 2018

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“…A training programme on how to perform measurements is integrated in the app as well as aids and feedback tools. Sensitivity and specifity of atrial fibrillation detection compared to the gold standard electrocardiogram were determined in prospective validation studies [31,32]. Participants diagnosed with absolute arrhythmia during the "AF screening" will undergo a validation phase of up to 2 weeks.…”

mentioning

confidence: 99%

A cost-effectiveness analysis model of Preventicus atrial fibrillation screening from the point of view of statutory health insurance in Germany

Birkemeyer

Müller²,

Wahler

et al. 2020

Health Econ Rev

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Background: With atrial fibrillation (AF) the risk of stroke is 4.2-fold increased to a comparable population without AF. This risk decreases by up to 70% if AF is detected early enough and effective stroke preventive measures are taken as recommended by international guidelines. Long-term studies found large number of subjects with undiagnosed AF. Preventicus Heartbeats" is a hands-on screening tool for use on smartphone to diagnose AF with high sensitivity and specificity. The aim of this study is to research the cost-effectiveness of systematic screening for AF with this smartphone application. Method: Employing a Markov model we analysed the cost-effectiveness of the "Preventicus Heartbeats" screening for Germany, i.e. from the perspective of German statutory sick funds. Results: For a cohort of 10,000 insured 75-year-old the use of the diagnostic app could avoid 60 strokes in the remaining lifetime thereof 32 strokes in the next four years. Former models have applied similar cohorts. The same cohort showed an increase in quality-adjusted life years (QALY) in the remaining lifetime of 165 QALYs in the scenario with screening versus. without screening and a decrease in discounted lifetime costs (including risk compensation effects) of €129 per participant (€148 for male, €114 for female participants). Conclusions: The modelling demonstrates the health benefits and economic effects of an implementation of a systematic screening on AF with "Preventicus Heartbeats", given the perspective of the German payer, the statutory health care system.

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“…In Parpinel et al’s study, higher feasibilities and accuracies were found for contact PPG–based apps compared with the noncontact PPG–based ones [53]. Koenig et al [54] found that their algorithm using PPG to assess HR had a consistent accuracy when compared with ECG (correlation index R>.99).…”

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

139

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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Validation of a New Heart Rate Measurement Algorithm for Fingertip Recording of Video Signals with Smartphones

Abstract: In conclusion, the overall accuracy of HR and HRV indices of pulse wave analysis, based on video signals of a smartphone, with the developed algorithm was sufficient for preclinical screening applications.

Cited by 55 publications

References 20 publications

Detection of atrial fibrillation with a smartphone camera: first prospective, international, two-centre, clinical validation study (DETECT AF PRO)

Detection of atrial fibrillation with a smartphone camera: first prospective, international, two-centre, clinical validation study (DETECT AF PRO)

A cost-effectiveness analysis model of Preventicus atrial fibrillation screening from the point of view of statutory health insurance in Germany

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

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