Assessing the Effects of Filtering Processing on Pulse Wave Transit Time Measured by Photoplethysmography from Earlobe

Shangdi Liao; Haipeng Liu; Dingchang Zheng; Fei Chen

doi:10.1109/apsipaasc58517.2023.10317481

Assessing the Effects of Filtering Processing on Pulse Wave Transit Time Measured by Photoplethysmography from Earlobe

Shangdi Liao
, Haipeng Liu
, Dingchang Zheng
, Fei Chen

Southern University of Science and Technology

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

1 Citation (Scopus)

71 Downloads (Pure)

Abstract

The waveform of a photoplethysmography (PPG) signal depends on individual physiological conditions. Pulse transition time (PTT), derived from electrocardiogram (ECG) and PPG waveform features, is an important physiological parameter for blood pressure estimation. Filtering can change PPG signal waveform and the timing of PPG feature points. This work aimed to quantitatively investigate the filtering-induced PTT changes at earlobe in healthy subjects of different ages and with different PTT definitions. The ECG and earlobe PPG signals were recorded simultaneously at a sample rate of 2500 Hz for 120 s from 100 healthy adults in 5 age groups (20-29, 30-39, 40-49, 50-59, and over 60 years). The PPG signals were preprocessed using band-pass filtering (pass and stop bands: >0.5 Hz and <0.2 Hz for high-pass filter, <20 Hz and >30 Hz for low-pass filter) and then low-pass filtered (pass and stop bands: <3 Hz and >5 Hz). The PTT difference between the preprocessed and filtered PPG signals was calculated and analyzed. Four pulse feature points were defined and extracted (i.e., maximum peak (MP), valley point (VP), maximal first derivative (M1D), and maximal second derivative (M2D)). The results showed significant effect of PTT definition on filtering-induced PTT relative difference (p<0.001). It was found that the age group (50-59) and the MP definition had the minimum filtering-induce PTT changes. This work suggested that the physiological factors including PTT definition and age should be considered in the PTT-based blood pressure estimation methods.

Original language	English
Title of host publication	2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
Publisher	IEEE
Pages	1417-1421
Number of pages	5
ISBN (Electronic)	9798350300673
ISBN (Print)	9798350300680
DOIs	https://doi.org/10.1109/apsipaasc58517.2023.10317481
Publication status	Published - 20 Nov 2023
Event	2023 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference - Taipei, Taiwan, Province of China Duration: 31 Oct 2023 → 3 Nov 2023

Publication series

Name	2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
Publisher	IEEE
ISSN (Print)	2640-009X
ISSN (Electronic)	2640-0103

Conference

Conference	2023 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference
Abbreviated title	APSIPA
Country/Territory	Taiwan, Province of China
City	Taipei
Period	31/10/23 → 3/11/23

Bibliographical note

© 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Copyright © and Moral Rights are retained by the author(s) and/ or other copyright owners. A copy can be downloaded for personal non-commercial research or study, without prior permission or charge. This item cannot be reproduced or quoted extensively from without first obtaining permission in writing from the copyright holder(s). The content must not be changed in any way or sold commercially in any format or medium without the formal permission of the copyright holders.

This document is the author’s post-print version, incorporating any revisions agreed during the peer-review process. Some differences between the published version and this version may remain and you are advised to consult the published version if you wish to cite from it.

This work was supported by Shenzhen Key Technology Program Funding (JSGG20220831103803006).

Funding

This work was supported by Shenzhen Key Technology Program Funding (JSGG20220831103803006).

Funders	Funder number
Shenzhen Key Technology Program	JSGG20220831103803006

Access to Document

10.1109/apsipaasc58517.2023.10317481

Liu2023AMMAccepted author manuscript, 1.18 MB

Cite this

Liao, S., Liu, H., Zheng, D., & Chen, F. (2023). Assessing the Effects of Filtering Processing on Pulse Wave Transit Time Measured by Photoplethysmography from Earlobe. In 2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) (pp. 1417-1421). (2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)). IEEE. https://doi.org/10.1109/apsipaasc58517.2023.10317481

Assessing the Effects of Filtering Processing on Pulse Wave Transit Time Measured by Photoplethysmography from Earlobe. / Liao, Shangdi; Liu, Haipeng; Zheng, Dingchang et al.
2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC). IEEE, 2023. p. 1417-1421 (2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)).

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

Liao, S, Liu, H, Zheng, D & Chen, F 2023, Assessing the Effects of Filtering Processing on Pulse Wave Transit Time Measured by Photoplethysmography from Earlobe. in 2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC). 2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), IEEE, pp. 1417-1421, 2023 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, Taipei, Taiwan, Province of China, 31/10/23. https://doi.org/10.1109/apsipaasc58517.2023.10317481

Liao S, Liu H, Zheng D, Chen F. Assessing the Effects of Filtering Processing on Pulse Wave Transit Time Measured by Photoplethysmography from Earlobe. In 2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC). IEEE. 2023. p. 1417-1421. (2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)). doi: 10.1109/apsipaasc58517.2023.10317481

Liao, Shangdi ; Liu, Haipeng ; Zheng, Dingchang et al. / Assessing the Effects of Filtering Processing on Pulse Wave Transit Time Measured by Photoplethysmography from Earlobe. 2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC). IEEE, 2023. pp. 1417-1421 (2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)).

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Assessing the Effects of Filtering Processing on Pulse Wave Transit Time Measured by Photoplethysmography from Earlobe

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