Comparison of the correlation of different pulse transit time parameters to blood pressure

Wan Hua Lin, Oluwarotimi Williams Samuel, Qing Liu, Yuan Ting Zhang, Guanglin Li*

*Corresponding author for this work

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

Abstract

Estimation of blood pressure (BP) based on pulse transit time (PTT) is of great interest since it can estimate BP continuously and cufflessly. In previous studies, different character points were available in ECG and in photoplethysmogram (PPG) for calculating PTT. The present study aimed at comparing the correlation of BP to different PTT parameters calculated using different character points of ECG and PPG. PTT parameters were calculated as the time interval from R peak, Q valley, or S valley of ECG to the peak or valley of the first derivative of the PPG. Correlations of beat-to-beat BP to the different beat-to-beat PTT parameters were calculated for the selected 13 datasets with a total of 3910 heart beats data. The results showed that the PTT as the time interval from Q valley of the ECG to the peak of the first derivative of the PPG gave the best parameter which correlates with both the systolic blood pressure (SBP, r = −0.62 ± 0.14) and the diastolic blood pressure (DBP, r = −0.45 ± 0.18). Therefore, this method of determining PTT would be useful to improve the accuracy of estimating BP continuously and cufflessly.

Original languageEnglish
Title of host publicationInternational Conference on Biomedical and Health Informatics - ICBHI 2015
EditorsYuan-Ting Zhang, Paulo Carvalho, Ratko Magjarevic
PublisherSpringer Verlag
Pages169-173
Number of pages5
ISBN (Print)9789811045042
DOIs
Publication statusPublished - 2019
Externally publishedYes
EventInternational Conference on Biomedical and Health Informatics, ICBHI 2015 - Haikou, China
Duration: 8 Oct 201510 Oct 2015

Publication series

NameIFMBE Proceedings
Volume64
ISSN (Print)1680-0737

Conference

ConferenceInternational Conference on Biomedical and Health Informatics, ICBHI 2015
Country/TerritoryChina
CityHaikou
Period8/10/1510/10/15

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