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Article

A Non-Contact Photoplethysmography Technique for the Estimation of Heart Rate via Smartphone

1
Departamento de Ingeniería Biomédica, Universidad Politécnica de Sinaloa, Sinaloa 82199, Mexico
2
Universidad Politécnica de Madrid, 28040 Madrid, Spain
3
BIOMEDIXT S. de R.L. de C.V., Mazatlán 82010, Mexico
4
Universidad de las Fuerzas Armadas ESPE de Ecuador, Sangolquí 050102, Ecuador
5
Networking Center for Biomedical Research on Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Instituto de Salud Carlos III, 28029 Madrid, Spain
*
Author to whom correspondence should be addressed.
Appl. Sci. 2020, 10(1), 154; https://doi.org/10.3390/app10010154
Received: 7 October 2019 / Revised: 8 December 2019 / Accepted: 16 December 2019 / Published: 23 December 2019
(This article belongs to the Special Issue Signal Processing and Machine Learning for Biomedical Data)
This paper describes the development of an application for mobile devices under the iOS platform which has the objective of monitoring patients with alterations or affections from cardiac pathologies. The software tool developed for mobile devices provides a patient and a specialist doctor the ability to handle and treat disease remotely while monitoring through the technique of non-contact photoplethysmography (PPG). The mobile application works by processing red, green, and blue (RGB) color video images on a specific region of the face, thus obtaining the intensity of the pixels in the green channel. The results are then processed using mathematical algorithms and Fourier transform, moving from the time domain to the frequency domain to ensure proper interpretation and to obtain the pulses per minute (PPM). The results are favorable because a comparison of the results was made with respect to the application of a medical-grade pulse-oximeter, where an error rate of 3% was obtained, indicating the acceptable performance of our application. The present technological development provides an application tool with significant potential in the area of health. View Full-Text
Keywords: mobile application; PPG; heart rate; telemedicine; remote monitoring mobile application; PPG; heart rate; telemedicine; remote monitoring
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MDPI and ACS Style

Maestre-Rendon, J.R.; Rivera-Roman, T.A.; Fernandez-Jaramillo, A.A.; Guerrón Paredes, N.E.; Serrano Olmedo, J.J. A Non-Contact Photoplethysmography Technique for the Estimation of Heart Rate via Smartphone. Appl. Sci. 2020, 10, 154. https://doi.org/10.3390/app10010154

AMA Style

Maestre-Rendon JR, Rivera-Roman TA, Fernandez-Jaramillo AA, Guerrón Paredes NE, Serrano Olmedo JJ. A Non-Contact Photoplethysmography Technique for the Estimation of Heart Rate via Smartphone. Applied Sciences. 2020; 10(1):154. https://doi.org/10.3390/app10010154

Chicago/Turabian Style

Maestre-Rendon, J. Rodolfo, Tomas A. Rivera-Roman, Arturo A. Fernandez-Jaramillo, Nancy E. Guerrón Paredes, and José Javier Serrano Olmedo. 2020. "A Non-Contact Photoplethysmography Technique for the Estimation of Heart Rate via Smartphone" Applied Sciences 10, no. 1: 154. https://doi.org/10.3390/app10010154

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