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

Shangdi Liao, Haipeng Liu, Dingchang Zheng, Fei Chen

Research output: Chapter in Book/Report/Conference proceedingConference proceedingpeer-review

14 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 languageEnglish
Title of host publication2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
PublisherIEEE
Pages1417-1421
Number of pages5
ISBN (Electronic)9798350300673
ISBN (Print)9798350300680
DOIs
Publication statusE-pub ahead of print - 20 Nov 2023
Event2023 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference - Taipei, Taiwan, Province of China
Duration: 31 Oct 20233 Nov 2023

Publication series

Name2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
PublisherIEEE
ISSN (Print)2640-009X
ISSN (Electronic)2640-0103

Conference

Conference2023 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference
Abbreviated titleAPSIPA
Country/TerritoryTaiwan, Province of China
CityTaipei
Period31/10/233/11/23

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).

Fingerprint

Dive into the research topics of 'Assessing the Effects of Filtering Processing on Pulse Wave Transit Time Measured by Photoplethysmography from Earlobe'. Together they form a unique fingerprint.

Cite this