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Vol. 34, No. 8(3), S&M3042

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Vol. 32, No. 8(2), S&M2292

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Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.

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Sensors and Materials, Volume 33, Number 3(3) (2021)
Copyright(C) MYU K.K.
pp. 1063-1072
S&M2516 Research Paper of Special Issue
https://doi.org/10.18494/SAM.2021.3142
Published: March 24, 2021

Analysis of Blood Pressure Pulse Wave and Electrocardiogram Waveforms Measured by a Wearable Device with MEMS Sensors [PDF]

Yosuke Osawa, Satoshi Hata, Masataka Hori, and Tetsuji Dohi

(Received October 8, 2020; Accepted December 10, 2020)

Keywords: MEMS three-axis force sensor, tonometry, wearable device, blood pressure pulse wave, electrocardiogram

The aim of this study was to clarify which elements of a blood pressure pulse wave are related to cardiovascular diseases and which are not. We developed a device consisting of micro-electromechanical-systems (MEMS) three-axis force sensors, an electrocardiograph, a signal processing board, and a fixed band. It measures blood pressure using force sensors that are placed on the surface of the skin over a blood vessel. During experimentation, blood pressure was varied by breath holding while simultaneously measuring the blood pressure pulse wave and the electrocardiogram (ECG). Furthermore, features derived from the blood pressure pulse wave, its differential waveforms, such as the acceleration pulse wave, and the ECG were compared. The features could be classified according to blood pressure and correlation. The correlation coefficient between the pulse pressure from the blood pressure pulse wave and the P wave amplitude of the ECG, associated with hypertension, was 0.976. Moreover, the correlation coefficient between the augmentation index of the blood pressure pulse wave and the ST segment elevation of the ECG, which is used for the diagnosis of myocardial infarction, was 0.915. Thus, we were able to identify features associated with the blood pressure pulse wave and ECG that could diagnose cardiovascular diseases.

Corresponding author: Yosuke Osawa


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Cite this article
Yosuke Osawa, Satoshi Hata, Masataka Hori, and Tetsuji Dohi, Analysis of Blood Pressure Pulse Wave and Electrocardiogram Waveforms Measured by a Wearable Device with MEMS Sensors, Sens. Mater., Vol. 33, No. 3, 2021, p. 1063-1072.



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