Limitation of Calibration-free PPG-based Blood Pressure Estimation

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dc.contributor.authorAguet, Clémentine
dc.contributor.authorVan Zaen, Jérôme
dc.contributor.authorProença, Martin
dc.contributor.authorBonnier, Guillaume
dc.contributor.authorLemay, Mathieu
dc.date.accessioned2025-11-11T15:37:38Z
dc.date.available2025-11-11T15:37:38Z
dc.date.issued2022
dc.description.abstractPhotoplethysmography (PPG) is a promising technology for non-invasive and cuffless blood pressure (BP) monitoring. In this context, CSEM has recently explored a feature learning approach to automatically extract relevant information from the PPG waveform and estimate BP accordingly. To date, a calibration procedure remains crucial to reach clinically acceptable accuracy. Although this is a weakness of most PPG-based BP monitoring technologies, this research demonstrates the limitations of a calibration-free model and confirms the importance of a calibration to obtain an accurate estimate of absolute BP.
dc.identifier.citationCSEM Scientific and Technical Report 2022, p. 37
dc.identifier.urihttps://hdl.handle.net/20.500.12839/1781
dc.titleLimitation of Calibration-free PPG-based Blood Pressure Estimation
dc.typeCSEM Report
dc.type.csemdivisionsBU-D
dc.type.csemresearchareasDigital Health
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