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PPG/ECG Multisite Combo System Based on SiPM Technology

  • Vincenzo VinciguerraEmail author
  • Emilio Ambra
  • Lidia Maddiona
  • Mario Romeo
  • Massimo Mazzillo
  • Francesco Rundo
  • Giorgio Fallica
  • Francesco di Pompeo
  • Antonio Maria Chiarelli
  • Filippo Zappasodi
  • Arcangelo Merla
  • Alessandro Busacca
  • Saverio Guarino
  • Antonino Parisi
  • Riccardo Pernice
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 539)

Abstract

Two versions of a PPG/ECG combined system have been realized and tested. In a first version a multisite system has been equipped by integrating 3 PPG optodes and 3 ECG leads, whereas in another setup a portable version has been carried out. Both versions have been realized by equipping the optical probes with SiPM detectors. SiPM technology is expected to bring relevant advantages in PPG systems and overcome the limitations of physiological information extracted by state of the art PPG, such as poor sensitivity of detectors used for backscattered light detection and motion artifacts seriously affecting the measurements repeatability and pulse waveform stability. This contribution presents the intermediate results of development in the frame of the European H2020-ECSEL Project ASTONISH (n. 692470), including SiPM based PPG optodes, and the acquisition electronic components used for simultaneous recording of both PPG/ECG signals. The accurate monitoring of dynamic changes of physiological data through a non-invasive integrated system, including hemodynamic parameters (e.g. heart rate, tissue perfusion etc.) and heart electrical activity can play an important role in a wide variety of applications (e.g. healthcare, fitness and cardiovascular disease). In this work we describe also a method to process PPG waveform according to a PPG process pipeline for pattern recognition. Some examples of PPG waveform signal analysis and the preliminary results of acquisitions obtained through the intermediate demonstrator systems have been reported.

Keywords

PPG SiPMs Pattern recognition 

Notes

Acknowledgements

The research activity leading to the results shown in this work was partially funded from the H2020-ECSEL Joint Undertaking under grant agreement n° 692470 (ASTONISH Project).

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Vincenzo Vinciguerra
    • 1
    Email author
  • Emilio Ambra
    • 1
  • Lidia Maddiona
    • 1
  • Mario Romeo
    • 1
  • Massimo Mazzillo
    • 1
  • Francesco Rundo
    • 1
  • Giorgio Fallica
    • 1
  • Francesco di Pompeo
    • 2
  • Antonio Maria Chiarelli
    • 2
  • Filippo Zappasodi
    • 2
  • Arcangelo Merla
    • 2
  • Alessandro Busacca
    • 3
  • Saverio Guarino
    • 3
  • Antonino Parisi
    • 3
  • Riccardo Pernice
    • 3
  1. 1.STMicroelectronics, ADG Central R&DCataniaItaly
  2. 2.G. D’Annunzio University of Chieti-Pescara-ItalyChietiItaly
  3. 3.Università di PalermoPalermoItaly

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