2014
DOI: 10.1007/978-1-4939-2172-0_21
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iPhysioMeter: A Smartphone Photoplethysmograph for Measuring Various Physiological Indices

Abstract: iPhysioMeter is a new smartphone application ("App") for the Apple iPhone and iPod touch that allows photoplethysmography (PPG) to be implemented without the need for any additional devices. The resulting signal, the photoplethysmogram, allows the calculation of basic but valuable and frequently used physiological indices such as heart rate (HR) and pulse volume (PV). The design of iPhysioMeter has very much been influenced by a consideration of usability, as is immediately evident from ones first experience w… Show more

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Cited by 16 publications
(14 citation statements)
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“…Three data points from the iPhone 6s smartphone were treated as missing values according to the iPhysioMeter SM ’s built-in algorithm detecting outliers 34 . One data point from the dedicated photoplethysmograph could not be analysed because of an intense artefact, and was removed.…”
Section: Resultsmentioning
confidence: 99%
“…Three data points from the iPhone 6s smartphone were treated as missing values according to the iPhysioMeter SM ’s built-in algorithm detecting outliers 34 . One data point from the dedicated photoplethysmograph could not be analysed because of an intense artefact, and was removed.…”
Section: Resultsmentioning
confidence: 99%
“…When Peng et al [32] evaluated frequency-domain and nonlinear parameters, the parameters of HRV, among 30 normal participants using photoplethysmographs of smartphones, the results showed a significantly high correlation with laboratory ECG results. Matsumura et al [33] measured beat-by-beat HR and normal pulse volume via smartphone using the iPhysioMeter app among 12 participants, and compared the results to that of conventional laboratory measures; the comparison showed the iPhysioMeter app to be very effective in evaluating absolute levels of heart rate and relative changes in normal pulse volume. Unfortunately, few studies have evaluated mental symptoms by analyzing HRV through smartphones.…”
Section: Smartphone As a Biosensor Platformmentioning
confidence: 99%
“…The first implementation on smartphone, using its camera and flash, has been described by Pelegris et al 2; however, a number of mobile applications are nowadays available, some of which are also described in scientific literature 3 , 4…”
Section: Introductionmentioning
confidence: 99%