PPG-based cf-PWV Estimation Using Visibility Graph Image Representation and Transfer Learning

Juan M. Vargas; Mohamed A. Bahloul; Taous Meriem Laleg-Kirati

doi:10.1109/IEEECONF58974.2023.10405056

PPG-based cf-PWV Estimation Using Visibility Graph Image Representation and Transfer Learning

Juan M. Vargas^*, Mohamed A. Bahloul, Taous Meriem Laleg-Kirati

^*Corresponding author for this work

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

1 Scopus citations

Abstract

Carotid-to-femoral pulse wave velocity (cf-PWV) is a crucial biomarker, essential for cardiovascular disease diagnosis and prediction. However, the standard measuring of cf-PWV is highly complex making it prone to errors and inaccuracies. In this paper, a deep learning model based on visibility graph representation obtained from the non-invasive easily measured photoplethysmogram (PPG) waveform is proposed. The obtained results illustrate the feasibility and robustness of visibility graph for image based data-driven cf-PWV estimation from non-invasive PPG signals.Clinical relevance: This project reaches a promising R² equal to or higher than 0.89 for the estimation of the cf-PWV from PPG signals extracted from the Radial artery.

Original language	English (US)
Title of host publication	2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, IEEECONF 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	97-98
Number of pages	2
ISBN (Electronic)	9798350383386
DOIs	https://doi.org/10.1109/IEEECONF58974.2023.10405056
State	Published - 2023
Event	2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, IEEECONF 2023 - Malta, Malta Duration: Dec 7 2023 → Dec 9 2023

Publication series

Name	2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, IEEECONF 2023

Conference

Conference	2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, IEEECONF 2023
Country/Territory	Malta
City	Malta
Period	12/7/23 → 12/9/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

ASJC Scopus subject areas

Artificial Intelligence
Human-Computer Interaction
Information Systems
Decision Sciences (miscellaneous)
Information Systems and Management
Biomedical Engineering
Health Informatics

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/IEEECONF58974.2023.10405056

Cite this

Vargas, J. M., Bahloul, M. A., & Laleg-Kirati, T. M. (2023). PPG-based cf-PWV Estimation Using Visibility Graph Image Representation and Transfer Learning. In 2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, IEEECONF 2023 (pp. 97-98). (2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, IEEECONF 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IEEECONF58974.2023.10405056

Vargas, Juan M. ; Bahloul, Mohamed A. ; Laleg-Kirati, Taous Meriem. / PPG-based cf-PWV Estimation Using Visibility Graph Image Representation and Transfer Learning. 2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, IEEECONF 2023. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 97-98 (2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, IEEECONF 2023).

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title = "PPG-based cf-PWV Estimation Using Visibility Graph Image Representation and Transfer Learning",

abstract = "Carotid-to-femoral pulse wave velocity (cf-PWV) is a crucial biomarker, essential for cardiovascular disease diagnosis and prediction. However, the standard measuring of cf-PWV is highly complex making it prone to errors and inaccuracies. In this paper, a deep learning model based on visibility graph representation obtained from the non-invasive easily measured photoplethysmogram (PPG) waveform is proposed. The obtained results illustrate the feasibility and robustness of visibility graph for image based data-driven cf-PWV estimation from non-invasive PPG signals.Clinical relevance: This project reaches a promising R2 equal to or higher than 0.89 for the estimation of the cf-PWV from PPG signals extracted from the Radial artery.",

author = "Vargas, \{Juan M.\} and Bahloul, \{Mohamed A.\} and Laleg-Kirati, \{Taous Meriem\}",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, IEEECONF 2023 ; Conference date: 07-12-2023 Through 09-12-2023",

year = "2023",

doi = "10.1109/IEEECONF58974.2023.10405056",

language = "English (US)",

series = "2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, IEEECONF 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "97--98",

booktitle = "2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, IEEECONF 2023",

address = "United States",

}

Vargas, JM, Bahloul, MA & Laleg-Kirati, TM 2023, PPG-based cf-PWV Estimation Using Visibility Graph Image Representation and Transfer Learning. in 2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, IEEECONF 2023. 2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, IEEECONF 2023, Institute of Electrical and Electronics Engineers Inc., pp. 97-98, 2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, IEEECONF 2023, Malta, Malta, 12/7/23. https://doi.org/10.1109/IEEECONF58974.2023.10405056

PPG-based cf-PWV Estimation Using Visibility Graph Image Representation and Transfer Learning. / Vargas, Juan M.; Bahloul, Mohamed A.; Laleg-Kirati, Taous Meriem.
2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, IEEECONF 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 97-98 (2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, IEEECONF 2023).

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

TY - GEN

T1 - PPG-based cf-PWV Estimation Using Visibility Graph Image Representation and Transfer Learning

AU - Vargas, Juan M.

AU - Bahloul, Mohamed A.

AU - Laleg-Kirati, Taous Meriem

PY - 2023

Y1 - 2023

N2 - Carotid-to-femoral pulse wave velocity (cf-PWV) is a crucial biomarker, essential for cardiovascular disease diagnosis and prediction. However, the standard measuring of cf-PWV is highly complex making it prone to errors and inaccuracies. In this paper, a deep learning model based on visibility graph representation obtained from the non-invasive easily measured photoplethysmogram (PPG) waveform is proposed. The obtained results illustrate the feasibility and robustness of visibility graph for image based data-driven cf-PWV estimation from non-invasive PPG signals.Clinical relevance: This project reaches a promising R2 equal to or higher than 0.89 for the estimation of the cf-PWV from PPG signals extracted from the Radial artery.

AB - Carotid-to-femoral pulse wave velocity (cf-PWV) is a crucial biomarker, essential for cardiovascular disease diagnosis and prediction. However, the standard measuring of cf-PWV is highly complex making it prone to errors and inaccuracies. In this paper, a deep learning model based on visibility graph representation obtained from the non-invasive easily measured photoplethysmogram (PPG) waveform is proposed. The obtained results illustrate the feasibility and robustness of visibility graph for image based data-driven cf-PWV estimation from non-invasive PPG signals.Clinical relevance: This project reaches a promising R2 equal to or higher than 0.89 for the estimation of the cf-PWV from PPG signals extracted from the Radial artery.

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M3 - Conference contribution

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T3 - 2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, IEEECONF 2023

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BT - 2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, IEEECONF 2023

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, IEEECONF 2023

Y2 - 7 December 2023 through 9 December 2023

ER -

Vargas JM, Bahloul MA, Laleg-Kirati TM. PPG-based cf-PWV Estimation Using Visibility Graph Image Representation and Transfer Learning. In 2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, IEEECONF 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 97-98. (2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, IEEECONF 2023). doi: 10.1109/IEEECONF58974.2023.10405056

PPG-based cf-PWV Estimation Using Visibility Graph Image Representation and Transfer Learning

Abstract

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Bibliographical note

ASJC Scopus subject areas

UN SDGs

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