Improvements on Signal Processing Algorithm for the VOPITB Equipment

Filipa E. Cardoso; Valentina Vassilenko; Arnaldo Batista; Paulo Bonifácio; Sergio Rico Martin; Juan Muñoz-Torrero; Manuel Ortigueira

doi:10.1007/978-3-030-78288-7_31

Improvements on Signal Processing Algorithm for the VOPITB Equipment

Filipa E. Cardoso, Valentina Vassilenko, Arnaldo Batista, Paulo Bonifácio, Sergio Rico Martin, Juan Muñoz-Torrero, Manuel Ortigueira

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Citations (Scopus)

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.

Original language	English
Title of host publication	Technological Innovation for Applied AI Systems - 12th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2021, Proceedings
Editors	Luis M. Camarinha-Matos, Pedro Ferreira, Guilherme Brito
Place of Publication	Cham
Publisher	Springer
Pages	324-330
Number of pages	7
ISBN (Electronic)	978-3-030-78288-7
ISBN (Print)	978-3-030-78287-0
DOIs	https://doi.org/10.1007/978-3-030-78288-7_31
Publication status	Published - 2021
Event	12th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2021 - Costa de Caparica and Online, Portugal Duration: 7 Jul 2021 → 9 Jul 2021

Publication series

Name	IFIP Advances in Information and Communication Technology
Publisher	Springer
Volume	626
ISSN (Print)	1868-4238
ISSN (Electronic)	1868-422X

Conference

Conference	12th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2021
Country/Territory	Portugal
City	Costa de Caparica and Online
Period	7/07/21 → 9/07/21

Keywords

CAVI
Pulse wave velocity
Signal processing
Wavelet analysis

Access to Document

10.1007/978-3-030-78288-7_31

Cite this

Cardoso, F. E., Vassilenko, V., Batista, A., Bonifácio, P., Martin, S. R., Muñoz-Torrero, J., & Ortigueira, M. (2021). Improvements on Signal Processing Algorithm for the VOPITB Equipment. In L. M. Camarinha-Matos, P. Ferreira, & G. Brito (Eds.), Technological Innovation for Applied AI Systems - 12th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2021, Proceedings (pp. 324-330). (IFIP Advances in Information and Communication Technology; Vol. 626). Springer. https://doi.org/10.1007/978-3-030-78288-7_31

Cardoso, Filipa E. ; Vassilenko, Valentina ; Batista, Arnaldo et al. / Improvements on Signal Processing Algorithm for the VOPITB Equipment. Technological Innovation for Applied AI Systems - 12th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2021, Proceedings. editor / Luis M. Camarinha-Matos ; Pedro Ferreira ; Guilherme Brito. Cham : Springer, 2021. pp. 324-330 (IFIP Advances in Information and Communication Technology).

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title = "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.",

keywords = "CAVI, Pulse wave velocity, Signal processing, Wavelet analysis",

author = "Cardoso, {Filipa E.} and Valentina Vassilenko and Arnaldo Batista and Paulo Bonif{\'a}cio and Martin, {Sergio Rico} and Juan Mu{\~n}oz-Torrero and Manuel Ortigueira",

note = "Funding Information: info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00066%2F2020/PT# info:eu-repo/grantAgreement/FCT/OE/PD%2FBDE%2F150312%2F2019/PT# info:eu-repo/grantAgreement/FCT/OE/PD%2FBDE%2F150312%2F2019/PT# info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00066%2F2020/PT# F; 12th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2021 ; Conference date: 07-07-2021 Through 09-07-2021",

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language = "English",

isbn = "978-3-030-78287-0",

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editor = "Camarinha-Matos, {Luis M.} and Pedro Ferreira and Guilherme Brito",

booktitle = "Technological Innovation for Applied AI Systems - 12th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2021, Proceedings",

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Cardoso, FE , Vassilenko, V , Batista, A , Bonifácio, P, Martin, SR, Muñoz-Torrero, J & Ortigueira, M 2021, Improvements on Signal Processing Algorithm for the VOPITB Equipment. in LM Camarinha-Matos, P Ferreira & G Brito (eds), Technological Innovation for Applied AI Systems - 12th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2021, Proceedings. IFIP Advances in Information and Communication Technology, vol. 626, Springer, Cham, pp. 324-330, 12th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2021, Costa de Caparica and Online, Portugal, 7/07/21. https://doi.org/10.1007/978-3-030-78288-7_31

Improvements on Signal Processing Algorithm for the VOPITB Equipment. / Cardoso, Filipa E.; Vassilenko, Valentina ; Batista, Arnaldo et al.
Technological Innovation for Applied AI Systems - 12th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2021, Proceedings. ed. / Luis M. Camarinha-Matos; Pedro Ferreira; Guilherme Brito. Cham: Springer, 2021. p. 324-330 (IFIP Advances in Information and Communication Technology; Vol. 626).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Improvements on Signal Processing Algorithm for the VOPITB Equipment

AU - Cardoso, Filipa E.

AU - Vassilenko, Valentina

AU - Batista, Arnaldo

AU - Bonifácio, Paulo

AU - Martin, Sergio Rico

AU - Muñoz-Torrero, Juan

AU - Ortigueira, Manuel

N1 - Funding Information: info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00066%2F2020/PT# info:eu-repo/grantAgreement/FCT/OE/PD%2FBDE%2F150312%2F2019/PT# info:eu-repo/grantAgreement/FCT/OE/PD%2FBDE%2F150312%2F2019/PT# info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00066%2F2020/PT# F

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N2 - 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.

AB - 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.

KW - CAVI

KW - Pulse wave velocity

KW - Signal processing

KW - Wavelet analysis

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M3 - Conference contribution

AN - SCOPUS:85111996243

SN - 978-3-030-78287-0

T3 - IFIP Advances in Information and Communication Technology

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BT - Technological Innovation for Applied AI Systems - 12th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2021, Proceedings

A2 - Camarinha-Matos, Luis M.

A2 - Ferreira, Pedro

A2 - Brito, Guilherme

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CY - Cham

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Y2 - 7 July 2021 through 9 July 2021

ER -

Cardoso FE , Vassilenko V , Batista A , Bonifácio P, Martin SR, Muñoz-Torrero J et al. Improvements on Signal Processing Algorithm for the VOPITB Equipment. In Camarinha-Matos LM, Ferreira P, Brito G, editors, Technological Innovation for Applied AI Systems - 12th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2021, Proceedings. Cham: Springer. 2021. p. 324-330. (IFIP Advances in Information and Communication Technology). doi: 10.1007/978-3-030-78288-7_31

Improvements on Signal Processing Algorithm for the VOPITB Equipment

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