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

doi:10.1007/978-3-030-34833-5_11

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

Electrical and Computer Systems Engineering

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

1 Citation (Scopus)

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 language	English
Title of host publication	Body Area Networks - Smart IoT and Big Data for Intelligent Health Management
Subtitle of host publication	14th EAI International Conference, BODYNETS 2019, Proceedings
Editors	Lorenzo Mucchi, Matti Hämäläinen, Sara Jayousi, Simone Morosi
Place of Publication	Cham Switzerland
Publisher	Springer
Pages	125-132
Number of pages	8
Edition	14th
ISBN (Electronic)	9783030348335
ISBN (Print)	9783030348328
DOIs	https://doi.org/10.1007/978-3-030-34833-5_11
Publication status	Published - 2019
Event	International Conference on Body Area Networks 2019 - Florence, Italy Duration: 2 Oct 2019 → 3 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

Name	Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, LNICST
Publisher	Springer
Volume	297
ISSN (Print)	1867-8211
ISSN (Electronic)	1867-822X

Conference

Conference	International Conference on Body Area Networks 2019
Abbreviated title	BodyNets 2019
Country/Territory	Italy
City	Florence
Period	2/10/19 → 3/10/19
Internet address	http://bodynets2019.eai-conferences.org/ https://link.springer.com/book/10.1007/978-3-030-34833-5 (Proceedings)

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10.1007/978-3-030-34833-5_11

Cite this

Heydari, F., Ebrahim, M. P., Redoute, J. M., & Yuce, M. R. (2019). Pulse wave characteristics based on age and body mass index (BMI) during sitting posture. In L. Mucchi, M. Hämäläinen, S. Jayousi, & S. Morosi (Eds.), Body Area Networks - Smart IoT and Big Data for Intelligent Health Management: 14th EAI International Conference, BODYNETS 2019, Proceedings (14th ed., pp. 125-132). (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, LNICST; Vol. 297). Springer. https://doi.org/10.1007/978-3-030-34833-5_11

Heydari, Fatemeh ; Ebrahim, Malikeh P. ; Redoute, Jean Michel et al. / Pulse wave characteristics based on age and body mass index (BMI) during sitting posture. Body Area Networks - Smart IoT and Big Data for Intelligent Health Management: 14th EAI International Conference, BODYNETS 2019, Proceedings. editor / Lorenzo Mucchi ; Matti Hämäläinen ; Sara Jayousi ; Simone Morosi. 14th. ed. Cham Switzerland : Springer, 2019. pp. 125-132 (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, LNICST).

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

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{\textquoteright}s characteristics.",

author = "Fatemeh Heydari and Ebrahim, {Malikeh P.} and Redoute, {Jean Michel} and Yuce, {Mehmet R.}",

year = "2019",

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edition = "14th",

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Heydari, F, Ebrahim, MP, Redoute, JM & Yuce, MR 2019, Pulse wave characteristics based on age and body mass index (BMI) during sitting posture. in L Mucchi, M Hämäläinen, S Jayousi & S Morosi (eds), Body Area Networks - Smart IoT and Big Data for Intelligent Health Management: 14th EAI International Conference, BODYNETS 2019, Proceedings. 14th edn, Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, LNICST, vol. 297, Springer, Cham Switzerland, pp. 125-132, International Conference on Body Area Networks 2019, Florence, Italy, 2/10/19. https://doi.org/10.1007/978-3-030-34833-5_11

Pulse wave characteristics based on age and body mass index (BMI) during sitting posture. / Heydari, Fatemeh; Ebrahim, Malikeh P.; Redoute, Jean Michel et al.
Body Area Networks - Smart IoT and Big Data for Intelligent Health Management: 14th EAI International Conference, BODYNETS 2019, Proceedings. ed. / Lorenzo Mucchi; Matti Hämäläinen; Sara Jayousi; Simone Morosi. 14th. ed. Cham Switzerland: Springer, 2019. p. 125-132 (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, LNICST; Vol. 297).

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

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T1 - Pulse wave characteristics based on age and body mass index (BMI) during sitting posture

AU - Heydari, Fatemeh

AU - Ebrahim, Malikeh P.

AU - Redoute, Jean Michel

AU - Yuce, Mehmet R.

N1 - Conference code: 14th

PY - 2019

Y1 - 2019

N2 - 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.

AB - 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.

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BT - Body Area Networks - Smart IoT and Big Data for Intelligent Health Management

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Heydari F, Ebrahim MP, Redoute JM, Yuce MR. Pulse wave characteristics based on age and body mass index (BMI) during sitting posture. In Mucchi L, Hämäläinen M, Jayousi S, Morosi S, editors, Body Area Networks - Smart IoT and Big Data for Intelligent Health Management: 14th EAI International Conference, BODYNETS 2019, Proceedings. 14th ed. Cham Switzerland: Springer. 2019. p. 125-132. (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, LNICST). doi: 10.1007/978-3-030-34833-5_11

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

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