A Nonlinear Pattern Recognition Pipeline for PPG/ECG Medical Assessments

  • Francesco RundoEmail author
  • Salvatore Petralia
  • Giorgio Fallica
  • Sabrina Conoci
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 539)


In this contribution, an innovative platform for ECG assessment from PPG signals for automotive applications is presented. The platform we propose is based on an optical miniaturized probe coupling a LED emitter with a silicon photomultipliers (SiPM) detector. The optical probe is able to measure PPG signal from the palm of hands. The new nonlinear Pattern Recognition Pipeline we developed associate the “Diastolic phase” of the heart to a “Reaction” physical dynamic while the “Systolic phase” can be mathematically modelled having a “Diffusion” physical proprieties. Results show there is specific cross-correlation between ECG signal and first-derivative of processed PPG waveform for the same person.


PPG ECG Pattern recognition 


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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.STMicroelectronics—Automotive and Discretes Group—Central R&DCataniaItaly

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