期刊
SENSORS
卷 21, 期 11, 页码 -出版社
MDPI
DOI: 10.3390/s21113814
关键词
atrial fibrillation; unobtrusive detection; ballistocardiogram; seismocardiogram; photoplethysmogram
资金
- National Natural Science Foundation of China [61801104, 61902058]
- Fundamental Research Funds for the Central Universities [N2019002]
- Northeastern University's 15th session (2020) Innovation Training Program for College Students [210250]
Atrial fibrillation is a common cardiac arrhythmia that can lead to various cardiac conditions. As the morbidity and mortality of AF continue to increase, there is growing interest in unobtrusive methods for detecting AF in daily life. The use of cardiac dynamics signals for AF detection has garnered extensive attention in recent research.
Atrial fibrillation (AF) is the most common cardiac arrhythmia. It tends to cause multiple cardiac conditions, such as cerebral artery blockage, stroke, and heart failure. The morbidity and mortality of AF have been progressively increasing over the past few decades, which has raised widespread concern about unobtrusive AF detection in routine life. The up-to-date non-invasive AF detection methods include electrocardiogram (ECG) signals and cardiac dynamics signals, such as the ballistocardiogram (BCG) signal, the seismocardiogram (SCG) signal and the photoplethysmogram (PPG) signal. Cardiac dynamics signals can be collected by cushions, mattresses, fabrics, or even cameras, which is more suitable for long-term monitoring. Therefore, methods for AF detection by cardiac dynamics signals bring about extensive attention for recent research. This paper reviews the current unobtrusive AF detection methods based on the three cardiac dynamics signals, summarized as data acquisition and preprocessing, feature extraction and selection, classification and diagnosis. In addition, the drawbacks and limitations of the existing methods are analyzed, and the challenges in future work are discussed.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据