Reliability and validity of a smartphone pulse rate application for the assessment of resting and elevated pulse rate

Mitchell, Katy; Graff, Megan; Hedt, Corbin; Simmons, James W.

doi:10.1080/09593985.2016.1203046

Cited by 30 publications

(28 citation statements)

References 14 publications

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“…On the other hand, another study used the intraclass correlation coefficient (Icc) to determine the validity of measurements before and after climbing stairs. the results showed a high degree of concurrent valid ity with the Polar ® device (Icc > 0.90) for the measures pre and postexercise, but there was no assessment during exercise [19].…”

Section: Introductionmentioning

confidence: 86%

Validation of a smartphone application for the measurement of heart rate during exercise

Vasconcelos¹,

Damorim²,

Santos³

et al. 2020

Hum Mov.

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Purpose. to verify the validity of Instant Heart Rate ® application in smartphones for the measurement of exercise heart rate. Methods. the individuals were initially instructed about all the procedures to be performed and signed the consent form. Anthropometric measures and rest heart rate were evaluated before the experimental session of the study. the subjects partici pated in a selfselected exercise on a cycle ergometer for 10 minutes. Results. the results for validity demonstrated in an iPhone/iOs ® smartphone revealed the intraclass correlation coefficient of r = 0.87 with a tendency to overestimate the heart rate by 5 bpm. For the Lenovo/Android ® model, the intraclass correlation coefficient was r = 0.98, underestimating the values by-0.7 bpm. thus, both systems presented high correlation values, and the error observed did not seem to compromise the several measures that use heart rate as a parameter. Conclusions. It is possible to conclude that heart rate monitoring by the Instant Heart Rate ® application on iPhone/iOs ® and Lenovo/Android ® operating system smartphones can be performed safely during exercise, with the Lenovo/Android ® base being even more reliable than the iPhone/iOs ® system.

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Section: Introductionmentioning

confidence: 86%

Validation of a smartphone application for the measurement of heart rate during exercise

Vasconcelos¹,

Damorim²,

Santos³

et al. 2020

Hum Mov.

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“…HR-PPG measurements were obtained using the Instant Heart Rate app (Azumio inc), a popular application for measuring HR and a smartphone’s (any Apple© model or Android© phone model) camera and light. 38 PPG recordings are obtained “on demand” by the user steadily applying the pulp of their finger on the smartphone camera and thus is an on-demand measurement, as opposed to passive measurements made by some wearables. Participants were free to measure HR at any frequency and time of day.…”

Section: Methodsmentioning

confidence: 99%

Real-world heart rate norms in the Health eHeart study

et al. 2019

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Emerging technology allows patients to measure and record their heart rate (HR) remotely by photoplethysmography (PPG) using smart devices like smartphones. However, the validity and expected distribution of such measurements are unclear, making it difficult for physicians to help patients interpret real-world, remote and on-demand HR measurements. Our goal was to validate HR-PPG, measured using a smartphone app, against HR-electrocardiogram (ECG) measurements and describe out-of-clinic, real-world, HR-PPG values according to age, demographics, body mass index, physical activity level, and disease. To validate the measurements, we obtained simultaneous HR-PPG and HR-ECG in 50 consecutive patients at our cardiology clinic. We then used data from participants enrolled in the Health eHeart cohort between 1 April 2014 and 30 April 2018 to derive real-world norms of HR-PPG according to demographics and medical conditions. HR-PPG and HR-ECG were highly correlated (Intraclass correlation = 0.90). A total of 66,788 Health eHeart Study participants contributed 3,144,332 HR-PPG measurements. The mean real-world HR was 79.1 bpm ± 14.5. The 95th percentile of real-world HR was ≤110 in individuals aged 18–45, ≤100 in those aged 45–60 and ≤95 bpm in individuals older than 60 years old. In multivariable linear regression, the number of medical conditions, female gender, increasing body mass index, and being Hispanic was associated with an increased HR, whereas increasing age was associated with a reduced HR. Our study provides the largest real-world norms for remotely obtained, real-world HR according to various strata and they may help physicians interpret and engage with patients presenting such data.

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“…Yan et al presented similar findings, although the correlations between the facial PPG–estimated HR and ECG HR had smaller variations ( r =.997 on resting compared with r =.982 with postmoderate intensity exercise) [59]. Furthermore, it was also found that both iOS and Android operating systems, with the same HR app, had concurrent validity with an FT7 Polar HR monitor at rest and at postexercise time points [60]. Although many studies reported the use of mobile phones as the media for measuring and interpreting HRs, some studies used mobile phone apps as a feedback system rather than the actual HR sensor.…”

Section: Resultsmentioning

confidence: 85%

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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Reliability and validity of a smartphone pulse rate application for the assessment of resting and elevated pulse rate

Abstract: The Azumio® Instant Heart Rate application when used by either platform appears to be a reliable and valid tool to assess pulse rate in healthy individuals.

Cited by 30 publications

References 14 publications

Validation of a smartphone application for the measurement of heart rate during exercise

Validation of a smartphone application for the measurement of heart rate during exercise

Real-world heart rate norms in the Health eHeart study

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

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