Key result
A smart outdoor shirt equipped with a dry electrode ECG sensor and computer-aided diagnosis system detected cardiac arrhythmia with an accuracy of 98.2 ± 2%.
Why the study?
Does a smart outdoor shirt with a dry electrode ECG sensor accurately detect cardiac arrhythmia?
Does a smart outdoor shirt with a dry electrode ECG sensor accurately detect cardiac arrhythmia?
A smart shirt integrated with a dry electrode ECG sensor demonstrates high accuracy in signal acquisition and arrhythmia detection, suggesting utility for real-time monitoring during daily activities.
Supports wearable arrhythmia monitoring in daily life; hypothesis-generating and requires prospective validation before clinical adoption.
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.
No takes yet. Share an insight, caveat, or question.
Park et al. (2017) studied Cardiac arrhythmia. Smart outdoor shirt with dry electrode ECG sensor was evaluated on Arrhythmia detection accuracy. A smart outdoor shirt equipped with a dry electrode ECG sensor and computer-aided diagnosis system detected cardiac arrhythmia with an accuracy of 98.2 ± 2%.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: