Computer aided diagnosis sensor integrated outdoor shirts for real time heart disease monitoring

The typical method of monitoring arrhythmia is to use a body patch type sensor with a wet electrode. It has several problems caused by wet electrodes for long-term monitoring. Thus, a monitoring sensor integrated into clothes with a dry electrode is proposed. In this study, we develop a smart outdoo...

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Bibliographic Details
Published inComputer assisted surgery (Abingdon, England) Vol. 22; no. sup1; pp. 176 - 185
Main Authors Park, Ji-Ae, Han, Hee-Jeong, Heo, Jin-Chul, Lee, Jong-Ha
Format Journal Article
LanguageEnglish
Published England Taylor & Francis 01.12.2017
Taylor & Francis Ltd
Subjects
Arrhythmias, Cardiac - diagnostic imaging
Cardiac arrhythmia
Cardiovascular devices
Electrocardiography, Ambulatory - instrumentation
Electrocardiography, Ambulatory - methods
Electrodes
Electrodes, Implanted
Equipment Design
Equipment Safety
Feedback, Physiological
Humans
Sensors
sensors/actuators
Signal Processing, Computer-Assisted
Smartphone - statistics & numerical data
sports instrumentation and devices
sensors/actuators
Cardiovascular devices
sports instrumentation and devices
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Summary:The typical method of monitoring arrhythmia is to use a body patch type sensor with a wet electrode. It has several problems caused by wet electrodes for long-term monitoring. 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 system. The sensor can be inserted in a console close to the chest, charged, used to communicate wirelessly, and connected with a smartphone application. 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. We propose a computer aided diagnosis system for detecting cardiac arrhythmia. It was determined through experiments that the system can detect arrhythmia with an accuracy of 98.2 ± 2%. This study suggests that smart shirt which can diagnose arrhythmia will provide information that can quickly recognize arrhythmia in daily life or exercise.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:2469-9322
2469-9322
DOI:10.1080/24699322.2017.1389396