title: Validation of a New Heart Rate Measurement Algorithm for Fingertip Recording of Video Signals with Smartphones.
abstract: This study investigates the accuracy of a heart rate (HR) measurement algorithm applied to a pulse wave. This was based on video signals recorded with a smartphone. The results of electrocardiographic HR and standard linear heart rate variability (HRV) analysis were used for reference.
  
  
  
  On a total of 68 subjects, an electrocardiogram (ECG) and the pulse curve were simultaneously recorded on an Apple iPhone 4S. The HR was measured using an algorithm developed by the authors that works according to a method combining the detection of the steepest slope of every pulse wave with the correlation to an optimized pulse wave pattern.
  
  
  
  The results of the HR measured by pulse curves were extremely consistent (R > 0.99) with the HR measured on ECGs. For most standard linear HRV parameters as well, high correlations of R ≥ 0.90 in the analysis were achieved in the time and frequency domain.
  
  
  
  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.
authors.affiliation: 1 Ernst-Abbe-Hochschule Jena, University of Applied Sciences , Jena, Germany .
authors.forename: Nicole
authors.initials: N
authors.lastname: Koenig
authors.affiliation: 2 Preventicus GmbH in Jena , Jena, Germany .
authors.forename: Andrea
authors.initials: A
authors.lastname: Seeck
authors.affiliation: 3 Internal Medicine, University Hospital of Basel , Basel, Switzerland .
authors.forename: Jens
authors.initials: J
authors.lastname: Eckstein
authors.affiliation: 2 Preventicus GmbH in Jena , Jena, Germany .
authors.forename: Andreas
authors.initials: A
authors.lastname: Mainka
authors.affiliation: 2 Preventicus GmbH in Jena , Jena, Germany .
authors.forename: Thomas
authors.initials: T
authors.lastname: Huebner
authors.affiliation: 1 Ernst-Abbe-Hochschule Jena, University of Applied Sciences , Jena, Germany .
authors.forename: Andreas
authors.initials: A
authors.lastname: Voss
authors.affiliation: 4 University Hospital of Regensburg , Regensburg, Germany .
authors.forename: Stefan
authors.initials: S
authors.lastname: Weber
mesh_terms: D000328:Adult; D000368:Aged; D000465:Algorithms; D004562:Electrocardiography; D005260:Female; D005385:Fingers; D006339:Heart Rate / Q000502:physiology*; D006801:Humans; D008297:Male; D008875:Middle Aged; D063177:Pulse Wave Analysis; D015203:Reproducibility of Results; D000068997:Smartphone / Q000295:instrumentation*; D017216:Telemedicine / Q000295:instrumentation*
keywords: Cardiology; heart rate variability; m-Health; pulse wave analysis; smartphone; video signal