Improvements on Signal Processing Algorithm for the VOPITB Equipment - 12th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2021 Access content directly
Conference Papers Year : 2021

Improvements on Signal Processing Algorithm for the VOPITB Equipment

Abstract

The pulse signal obtained non-invasively through an oscillometric method can accurately measure the Cardio-Ankle Vascular Index (CAVI) and Pulse Wave Velocity (PWV), two valuable physiological markers of arterial stiffness and cardiovascular health. The VOPITB device is designed to obtain these markers whose accuracy heavily depends on the correctness of feature extraction from pulse wave signals. Typically, a threshold method is obtained, leading to excessive detection success dependency on the established level. To overcome this limitation two signal processing methods are proposed, one based on a modified version of the Pan-Tompkins algorithm and the other centered on a Wavelet approach. A statistical study is presented assessing the accuracy of both methods. The new algorithms are presented as an alternative to the simple thresholding method.
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hal-03685926 , version 1 (02-06-2022)

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Filipa E. Cardoso, Valentina Vassilenko, Arnaldo Batista, Paulo Bonifácio, Sergio Rico Martin, et al.. Improvements on Signal Processing Algorithm for the VOPITB Equipment. 12th Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS), Jul 2021, Costa de Caparica, Portugal. pp.324-330, ⟨10.1007/978-3-030-78288-7_31⟩. ⟨hal-03685926⟩
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