A Nonlinear Pattern Recognition Pipeline for PPG/ECG Medical Assessments
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.
KeywordsPPG ECG Pattern recognition
- 1.Birse, R.M., Knowlden, P.E.: Oxford Dictionary of National Biography. Oxford, Blackwell (2004)Google Scholar
- 2.Oreggia D., Guarino S., Parisi A., Pernice R., Adamo G., Mistretta L., Di Buono P., Fallica G., Cino C. A. and Busacca A. C.. Physiological parameters measurements in a cardiac cycle via a combo PPG-ECG system. In: Proceedings of the AEIT International Annual Conference, pp. 1–6 (2015)Google Scholar
- 8.Rundo, F., Fallica, P.G., Conoci, S., Petralia, S., Mazzillo, M.C.: Processing of electrophysiological signals, IT patent no. 102017000081018Google Scholar
- 9.Rundo, F., Fallica, P.G., Conoci, S.: A method of processing electrophysiological signals, corresponding system, vehicle and computer program product, IT patent no. 102017000120714Google Scholar