Pulse wave characteristics based on age and body mass index (BMI) during sitting posture

Fatemeh Heydari, Malikeh P. Ebrahim, Jean Michel Redoute, Mehmet R. Yuce

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

Abstract

Measurement technologies of arterial parameters are mostly based on processing blood pulse wave which is an important representation of cardiac activity. The pulse wave is structured with forward and reflected waves which are affected by individual physiological parameters such as the blood intensity, the elasticity of the aorta, artery elasticity and the reflection location. The pulse wave is also an important parameter in invasive cuff-less blood pressure measurement methods. However, different physiological circumstances can lead to pulse waveforms with different characteristics including the curve factors, amplitude and time landmarks. In this study, the pulse wave signal is obtained by bio-impedance (BImp) via shoulder and photoplethysmography (PPG) from the left ear. Four age groups, as well as three (body mass index) BMI groups, are considered as physiological circumstances and the effect of them on five characteristics factors of the pulse wave, are compared. Overall, the results displayed a significant effect of the aging and BMI on the pulse wave’s characteristics.

Original languageEnglish
Title of host publicationBody Area Networks - Smart IoT and Big Data for Intelligent Health Management
Subtitle of host publication14th EAI International Conference, BODYNETS 2019, Proceedings
EditorsLorenzo Mucchi, Matti Hämäläinen, Sara Jayousi, Simone Morosi
Place of PublicationCham Switzerland
PublisherSpringer
Pages125-132
Number of pages8
Edition14th
ISBN (Electronic)9783030348335
ISBN (Print)9783030348328
DOIs
Publication statusPublished - 2019
EventInternational Conference on Body Area Networks 2019 - Florence, Italy
Duration: 2 Oct 20193 Oct 2019
Conference number: 14th
http://bodynets2019.eai-conferences.org/
https://link.springer.com/book/10.1007/978-3-030-34833-5 (Proceedings)

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, LNICST
PublisherSpringer
Volume297
ISSN (Print)1867-8211
ISSN (Electronic)1867-822X

Conference

ConferenceInternational Conference on Body Area Networks 2019
Abbreviated titleBodyNets 2019
CountryItaly
CityFlorence
Period2/10/193/10/19
Internet address

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