Dual-site Photoplethysmography Sensing for Noninvasive Continuous-time Blood Pressure Monitoring Using Artificial Neural Network

Anas Rababah; Moienudeen Khan Abdul Basith; Falah Awwad; Mohamed Atef

doi:10.1109/BioCAS54905.2022.9948549

Dual-site Photoplethysmography Sensing for Noninvasive Continuous-time Blood Pressure Monitoring Using Artificial Neural Network

Anas Rababah, Moienudeen Khan Abdul Basith, Falah Awwad, Mohamed Atef

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

Abstract

In this work, we propose dual site Photoplethysmography (PPG) sensing for blood pressure monitoring using Artificial Neural Network (ANN). The method was implemented on a microcontroller for real-time BP monitoring. The models were evaluated on 15 volunteers and the ANN model achieved a MAE±SD 0.29 ± 4.49 mmHg for SBP and 0.5±2.4 mmHg for DBP. The proposed dual PPG site ANN model exhibited superior performance and robustness in real-time tests compared to the classical ANN single-site PPG model.

Original language	English
Title of host publication	BioCAS 2022 - IEEE Biomedical Circuits and Systems Conference
Subtitle of host publication	Intelligent Biomedical Systems for a Better Future, Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	462-466
Number of pages	5
ISBN (Electronic)	9781665469173
DOIs	https://doi.org/10.1109/BioCAS54905.2022.9948549
Publication status	Published - 2022
Event	2022 IEEE Biomedical Circuits and Systems Conference, BioCAS 2022 - Taipei, Taiwan, Province of China Duration: Oct 13 2022 → Oct 15 2022

Publication series

Name	BioCAS 2022 - IEEE Biomedical Circuits and Systems Conference: Intelligent Biomedical Systems for a Better Future, Proceedings

Conference

Conference	2022 IEEE Biomedical Circuits and Systems Conference, BioCAS 2022
Country/Territory	Taiwan, Province of China
City	Taipei
Period	10/13/22 → 10/15/22

Keywords

Blood Pressure
Linear regression
Neural Network
Photoplethysmography
pulse wave velocity

ASJC Scopus subject areas

Artificial Intelligence
Signal Processing
Biomedical Engineering
Electrical and Electronic Engineering
Neuroscience (miscellaneous)
Instrumentation

Access to Document

10.1109/BioCAS54905.2022.9948549

Cite this

Rababah, A., Abdul Basith, M. K., Awwad, F., & Atef, M. (2022). Dual-site Photoplethysmography Sensing for Noninvasive Continuous-time Blood Pressure Monitoring Using Artificial Neural Network. In BioCAS 2022 - IEEE Biomedical Circuits and Systems Conference: Intelligent Biomedical Systems for a Better Future, Proceedings (pp. 462-466). (BioCAS 2022 - IEEE Biomedical Circuits and Systems Conference: Intelligent Biomedical Systems for a Better Future, Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BioCAS54905.2022.9948549

Dual-site Photoplethysmography Sensing for Noninvasive Continuous-time Blood Pressure Monitoring Using Artificial Neural Network. / Rababah, Anas; Abdul Basith, Moienudeen Khan ; Awwad, Falah et al.
BioCAS 2022 - IEEE Biomedical Circuits and Systems Conference: Intelligent Biomedical Systems for a Better Future, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2022. p. 462-466 (BioCAS 2022 - IEEE Biomedical Circuits and Systems Conference: Intelligent Biomedical Systems for a Better Future, Proceedings).

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

Rababah, A, Abdul Basith, MK , Awwad, F & Atef, M 2022, Dual-site Photoplethysmography Sensing for Noninvasive Continuous-time Blood Pressure Monitoring Using Artificial Neural Network. in BioCAS 2022 - IEEE Biomedical Circuits and Systems Conference: Intelligent Biomedical Systems for a Better Future, Proceedings. BioCAS 2022 - IEEE Biomedical Circuits and Systems Conference: Intelligent Biomedical Systems for a Better Future, Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 462-466, 2022 IEEE Biomedical Circuits and Systems Conference, BioCAS 2022, Taipei, Taiwan, Province of China, 10/13/22. https://doi.org/10.1109/BioCAS54905.2022.9948549

Rababah A, Abdul Basith MK , Awwad F , Atef M. Dual-site Photoplethysmography Sensing for Noninvasive Continuous-time Blood Pressure Monitoring Using Artificial Neural Network. In BioCAS 2022 - IEEE Biomedical Circuits and Systems Conference: Intelligent Biomedical Systems for a Better Future, Proceedings. Institute of Electrical and Electronics Engineers Inc. 2022. p. 462-466. (BioCAS 2022 - IEEE Biomedical Circuits and Systems Conference: Intelligent Biomedical Systems for a Better Future, Proceedings). doi: 10.1109/BioCAS54905.2022.9948549

Rababah, Anas ; Abdul Basith, Moienudeen Khan ; Awwad, Falah et al. / Dual-site Photoplethysmography Sensing for Noninvasive Continuous-time Blood Pressure Monitoring Using Artificial Neural Network. BioCAS 2022 - IEEE Biomedical Circuits and Systems Conference: Intelligent Biomedical Systems for a Better Future, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2022. pp. 462-466 (BioCAS 2022 - IEEE Biomedical Circuits and Systems Conference: Intelligent Biomedical Systems for a Better Future, Proceedings).

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abstract = "In this work, we propose dual site Photoplethysmography (PPG) sensing for blood pressure monitoring using Artificial Neural Network (ANN). The method was implemented on a microcontroller for real-time BP monitoring. The models were evaluated on 15 volunteers and the ANN model achieved a MAE±SD 0.29 ± 4.49 mmHg for SBP and 0.5±2.4 mmHg for DBP. The proposed dual PPG site ANN model exhibited superior performance and robustness in real-time tests compared to the classical ANN single-site PPG model.",

keywords = "Blood Pressure, Linear regression, Neural Network, Photoplethysmography, pulse wave velocity",

author = "Anas Rababah and {Abdul Basith}, {Moienudeen Khan} and Falah Awwad and Mohamed Atef",

note = "Funding Information: This research was funded by United Arab Emirates University, United Arab Emirates, under grant G00003441. Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE Biomedical Circuits and Systems Conference, BioCAS 2022 ; Conference date: 13-10-2022 Through 15-10-2022",

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Dual-site Photoplethysmography Sensing for Noninvasive Continuous-time Blood Pressure Monitoring Using Artificial Neural Network

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

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