Imaging Photoplethysmography: Signal Waveform Analysis
| Autor: | Choubeila Maaoui, Fethi Bereksi-Reguig, Djamaleddine Djeldjli, Frédéric Bousefsaf |
|---|---|
| Přispěvatelé: | Laboratoire de Conception, Optimisation et Modélisation des Systèmes (LCOMS), Université de Lorraine (UL) |
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Signal processing
Computer science 0206 medical engineering [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV] 02 engineering and technology Blood volume pulse facial video processing 020601 biomedical engineering Signal 3. Good health 03 medical and health sciences 0302 clinical medicine Pulse waveform Waveform analysis [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing Photoplethysmogram Waveform pulse waveform photoplethysmography signal processing 030217 neurology & neurosurgery Biomedical engineering camera |
| Zdroj: | 2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS) 2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), Sep 2019, Metz, France. pp.830-834, ⟨10.1109/IDAACS.2019.8924239⟩ IDAACS |
| DOI: | 10.1109/IDAACS.2019.8924239⟩ |
| Popis: | International audience; Imaging photoplethysmography (iPPG) is used to remotely measure the blood volume pulse using a camera. Traditionally, it has been employed to estimate heart and respiratory rates, and recently blood pressure and oxygen saturation. Biomedical engineering researchers have become increasingly interested in iPPG because of its several advantages as comfort, non-invasive, simple, nonstressful and inexpensive characteristics. Moreover, the results of the waveform signal analysis obtained by the conducted studies on contact PPG sensors made the use of iPPG a more promising technique for early screening of various atherosclerotic and cardiovascular pathologies. iPPG waveform has not been studied before. In this paper we process the iPPG signal obtained using a camera to extract its waveform features such as areas and time parameters. These features will make possible a non-contact estimation of arterial stiffness and early diagnosis of many cardiovascular pathologies. The obtained results show a high correlation with those obtained by an approved contact PPG sensor. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|