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Sensors and Materials
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Sensors and Materials,
Volume 30, Number 1 (2018)

Copyright(C) MYU K.K. All Rights Reserved.
pp. 135-148
S&M1480
https://doi.org/10.18494/SAM.2018.1645
Published: January 12, 2018

Computer Aided Cardiovascular Disease Detection Sensor and Algorithm Using Dry Electrode Based Electrocardiogram Sensor Integrated Clothes [PDF]

Ji-Ae Park, Jin-Chul Heo, and Jong-Ha Lee

(Received July 10, 2017; Accepted September 8, 2017)

Keywords: cardiovascular devices, sports instrumentation and devices, sensors/actuators

The incidence of heart disease increases with age. The typical method of monitoring arrhythmia is to use a body-patch-type sensor with a wet electrode. Even though this sensor is easy to use, it has several disadvantages such as problems caused by wet electrodes in tissues when they are monitored for long periods. Thus, a monitoring sensor integrated into clothes with a dry electrode is proposed. In this study, we develop a smart outdoor shirt equipped with a dry electrode electrocardiogram (ECG) sensor for a cardiac arrhythmia computer-aided diagnosis (CAD) system. The sensor can be inserted into a console close to the chest, charged, used to communicate wirelessly, and connected with a smartphone application. According to experiments, the ECG signals measured by the smart shirt indicated that 97.5 ± 1% of the signals could be measured in an immobile state and at least 85.2 ± 2% of the signals could be measured during movement. In addition, we propose a CAD system for detecting cardiac arrhythmia. It was determined through experiments that the system can detect arrhythmia with an accuracy of 98.2 ± 2%.

Corresponding author: Jong-Ha Lee


Cite this article
Ji-Ae Park, Jin-Chul Heo, and Jong-Ha Lee, Computer Aided Cardiovascular Disease Detection Sensor and Algorithm Using Dry Electrode Based Electrocardiogram Sensor Integrated Clothes, Sens. Mater., Vol. 30, No. 1, 2018, p. 135-148.


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