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

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

Print: ISSN 0914-4935
Online: ISSN 2435-0869
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 30, Number 3(2) (2018)
Copyright(C) MYU K.K.
pp. 621-631
S&M1524 Research Paper of Special Issue
https://doi.org/10.18494/SAM.2018.1821
Published: March 23, 2018

Estimation of Real-time Blood Pressure during Motion Using Electrocardiography Waveform [PDF]

Hsien-Wei Tseng, Yang-Han Lee, Chien-Da Huang, Yi-Lun Chen, and Yanfang Liu

(Received November 3, 2017; Accepted June 21, 2018)

Keywords: electrocardiography (ECG), blood pressure, HRV, so and chan algorithm, biomedical electronics, wearable

Electrocardiography (ECG) is a safe, noninvasive test with a history of more than a hundred years of use. A physician can judge whether a person is healthy by virtue of the ECG waveform. According to statistics from the World Health Organization (WHO), cardiovascular disease (CVD) is number one among the ten major causes of death globally, and the probability of CVD increases with age for office workers with irregular lifestyles and for obese people. People know about their health because of physiological signals, and there is a close relationship between CVD and blood pressure. The most common method currently is self-health monitoring by measuring blood pressure with a home hematomanometer. However, it may be inconvenient to measure blood pressure with a traditional hematomanometer, and it may be especially difficult if blood pressure needs to be measured under dynamic conditions. In this study we aimed to measure blood pressure with a wearable 2-point ECG device and to monitor the most obvious characteristics of QRS (ventricular depolarization) duration and change in blood pressure to enable health monitoring at any time.

Corresponding author: Yang-Han Lee


Cite this article
Hsien-Wei Tseng, Yang-Han Lee, Chien-Da Huang, Yi-Lun Chen, and Yanfang Liu, Estimation of Real-time Blood Pressure during Motion Using Electrocardiography Waveform, Sens. Mater., Vol. 30, No. 3, 2018, p. 621-631.



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