Cuffless Blood Pressure Estimation from Finger PPG and ECG Signals Verified by the AAMI Protocol

Yu Chuan Li; Jia Wei Guo; Jia Yu Yang; Pei Yun Tsai; Hung Ju Lin; Tzung Dau Wang

doi:10.1109/BioCAS54905.2022.9948592

Cuffless Blood Pressure Estimation from Finger PPG and ECG Signals Verified by the AAMI Protocol

Yu Chuan Li, Jia Wei Guo, Jia Yu Yang, Pei Yun Tsai, Hung Ju Lin, Tzung Dau Wang

Department of Electrical Engineering

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

3 Scopus citations

Abstract

Cuffless blood pressure (BP) estimation attracts much attention for its convenience and capability of long-term health monitoring. The BP estimation derived from finger photoplethysmography (PPG) and electrocardiographic (ECG) signals and validated by the AAMI protocol is presented in this paper. PPG morphological features, pulse decomposition features, and demographic features were extracted. Combined feature strategy was used for feature compensation and normalization. Interpolation-based oversampling was adopted to improve the balance of training sample distribution. Hierarchical regression is proposed to refine BP estimation by ensemble average and range shrinkage. From the experiments, the mean absolute errors (MAEs) of systolic BP and diastolic BP were 7.55 mmHg and 5.96 mmHg, respectively, with the calibration-free and subject-split criterion. The study first presents the cuffless BP estimation results from PPG and ECG under the AAMI validation protocol.

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	689-693
Number of pages	5
ISBN (Electronic)	9781665469173
DOIs	https://doi.org/10.1109/BioCAS54905.2022.9948592
State	Published - 2022
Event	2022 IEEE Biomedical Circuits and Systems Conference, BioCAS 2022 - Taipei, Taiwan Duration: 13 Oct 2022 → 15 Oct 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
City	Taipei
Period	13/10/22 → 15/10/22

Keywords

blood pressure
cuffless
estimation
photoplethysmogram (PPG)

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10.1109/BioCAS54905.2022.9948592

Cite this

Li, Y. C., Guo, J. W., Yang, J. Y., Tsai, P. Y., Lin, H. J., & Wang, T. D. (2022). Cuffless Blood Pressure Estimation from Finger PPG and ECG Signals Verified by the AAMI Protocol. In BioCAS 2022 - IEEE Biomedical Circuits and Systems Conference: Intelligent Biomedical Systems for a Better Future, Proceedings (pp. 689-693). (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/BioCAS54905.2022.9948592

Li, Yu Chuan ; Guo, Jia Wei ; Yang, Jia Yu et al. / Cuffless Blood Pressure Estimation from Finger PPG and ECG Signals Verified by the AAMI Protocol. 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. 689-693 (BioCAS 2022 - IEEE Biomedical Circuits and Systems Conference: Intelligent Biomedical Systems for a Better Future, Proceedings).

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title = "Cuffless Blood Pressure Estimation from Finger PPG and ECG Signals Verified by the AAMI Protocol",

abstract = "Cuffless blood pressure (BP) estimation attracts much attention for its convenience and capability of long-term health monitoring. The BP estimation derived from finger photoplethysmography (PPG) and electrocardiographic (ECG) signals and validated by the AAMI protocol is presented in this paper. PPG morphological features, pulse decomposition features, and demographic features were extracted. Combined feature strategy was used for feature compensation and normalization. Interpolation-based oversampling was adopted to improve the balance of training sample distribution. Hierarchical regression is proposed to refine BP estimation by ensemble average and range shrinkage. From the experiments, the mean absolute errors (MAEs) of systolic BP and diastolic BP were 7.55 mmHg and 5.96 mmHg, respectively, with the calibration-free and subject-split criterion. The study first presents the cuffless BP estimation results from PPG and ECG under the AAMI validation protocol.",

keywords = "blood pressure, cuffless, estimation, photoplethysmogram (PPG)",

author = "Li, {Yu Chuan} and Guo, {Jia Wei} and Yang, {Jia Yu} and Tsai, {Pei Yun} and Lin, {Hung Ju} and Wang, {Tzung Dau}",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE Biomedical Circuits and Systems Conference, BioCAS 2022 ; Conference date: 13-10-2022 Through 15-10-2022",

year = "2022",

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Li, YC, Guo, JW, Yang, JY, Tsai, PY, Lin, HJ & Wang, TD 2022, Cuffless Blood Pressure Estimation from Finger PPG and ECG Signals Verified by the AAMI Protocol. 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. 689-693, 2022 IEEE Biomedical Circuits and Systems Conference, BioCAS 2022, Taipei, Taiwan, 13/10/22. https://doi.org/10.1109/BioCAS54905.2022.9948592

Cuffless Blood Pressure Estimation from Finger PPG and ECG Signals Verified by the AAMI Protocol. / Li, Yu Chuan; Guo, Jia Wei; Yang, Jia Yu 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. 689-693 (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 › peer-review

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T1 - Cuffless Blood Pressure Estimation from Finger PPG and ECG Signals Verified by the AAMI Protocol

AU - Li, Yu Chuan

AU - Guo, Jia Wei

AU - Yang, Jia Yu

AU - Tsai, Pei Yun

AU - Lin, Hung Ju

AU - Wang, Tzung Dau

PY - 2022

Y1 - 2022

N2 - Cuffless blood pressure (BP) estimation attracts much attention for its convenience and capability of long-term health monitoring. The BP estimation derived from finger photoplethysmography (PPG) and electrocardiographic (ECG) signals and validated by the AAMI protocol is presented in this paper. PPG morphological features, pulse decomposition features, and demographic features were extracted. Combined feature strategy was used for feature compensation and normalization. Interpolation-based oversampling was adopted to improve the balance of training sample distribution. Hierarchical regression is proposed to refine BP estimation by ensemble average and range shrinkage. From the experiments, the mean absolute errors (MAEs) of systolic BP and diastolic BP were 7.55 mmHg and 5.96 mmHg, respectively, with the calibration-free and subject-split criterion. The study first presents the cuffless BP estimation results from PPG and ECG under the AAMI validation protocol.

AB - Cuffless blood pressure (BP) estimation attracts much attention for its convenience and capability of long-term health monitoring. The BP estimation derived from finger photoplethysmography (PPG) and electrocardiographic (ECG) signals and validated by the AAMI protocol is presented in this paper. PPG morphological features, pulse decomposition features, and demographic features were extracted. Combined feature strategy was used for feature compensation and normalization. Interpolation-based oversampling was adopted to improve the balance of training sample distribution. Hierarchical regression is proposed to refine BP estimation by ensemble average and range shrinkage. From the experiments, the mean absolute errors (MAEs) of systolic BP and diastolic BP were 7.55 mmHg and 5.96 mmHg, respectively, with the calibration-free and subject-split criterion. The study first presents the cuffless BP estimation results from PPG and ECG under the AAMI validation protocol.

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KW - cuffless

KW - estimation

KW - photoplethysmogram (PPG)

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PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2022 IEEE Biomedical Circuits and Systems Conference, BioCAS 2022

Y2 - 13 October 2022 through 15 October 2022

ER -

Li YC, Guo JW, Yang JY, Tsai PY, Lin HJ, Wang TD. Cuffless Blood Pressure Estimation from Finger PPG and ECG Signals Verified by the AAMI Protocol. 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. 689-693. (BioCAS 2022 - IEEE Biomedical Circuits and Systems Conference: Intelligent Biomedical Systems for a Better Future, Proceedings). doi: 10.1109/BioCAS54905.2022.9948592

Cuffless Blood Pressure Estimation from Finger PPG and ECG Signals Verified by the AAMI Protocol

Abstract

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Keywords

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