A Real-Time Atrial Fibrillation Detection Algorithm Based on the Instantaneous State of Heart Rate
文献类型：期刊论文
| 作者 | Xiaolin Zhou; Hongxia Ding; Wanqing Wu; Yuanting Zhang |
| 刊名 | PLoS ONE
 |
| 出版日期 | 2015 |
| 英文摘要 | Atrial fibrillation (AF), the most frequent cause of cardioembolic stroke, is increasing in prevalence as the population ages, and presents with a broad spectrum of symptoms and severity. The early identification of AF is an essential part for preventing the possibility of blood clotting and stroke. In this work, a real-time algorithm is proposed for accurately screening AF episodes in electrocardiograms. This method adopts heart rate sequence, and it involves the application of symbolic dynamics and Shannon entropy. Using novel recursive algorithms, a low-computational complexity can be obtained. Four publicly-accessible sets of clinical data (Long-Term AF, MIT-BIH AF, MIT-BIH Arrhythmia, and MIT-BIH Normal Sinus Rhythm Databases) were used for assessment. The first database was selected as a training set; the receiver operating characteristic (ROC) curve was performed, and the best performance was achieved at the threshold of 0.639: the sensitivity (Se), specificity (Sp), positive predictive value (PPV) and overall accuracy (ACC) were 96.14%, 95.73%, 97.03% and 95.97%, respectively. The other three databases were used for independent testing. Using the obtained decision-making threshold (i.e., 0.639), for the second set, the obtained parameters were 97.37%, 98.44%, 97.89% and 97.99%, respectively; for the third database, these parameters were 97.83%, 87.41%, 47.67% and 88.51%, respectively; the Sp was 99.68% for the fourth set. The latest methods were also employed for comparison. Collectively, results presented in this study indicate that the combination of symbolic dynamics and Shannon entropy yields a potent AF detector, and suggest this method could be of practical use in both clinical and out-of-clinical settings. |
| 收录类别 | SCI |
| 原文出处 | http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0136544 |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/7054]  |
| 专题 | 深圳先进技术研究院_医工所 |
| 作者单位 | PLoS ONE |
| 推荐引用方式 GB/T 7714 | Xiaolin Zhou,Hongxia Ding,Wanqing Wu,et al. A Real-Time Atrial Fibrillation Detection Algorithm Based on the Instantaneous State of Heart Rate[J]. PLoS ONE,2015. |
| APA | Xiaolin Zhou,Hongxia Ding,Wanqing Wu,&Yuanting Zhang.(2015).A Real-Time Atrial Fibrillation Detection Algorithm Based on the Instantaneous State of Heart Rate.PLoS ONE. |
| MLA | Xiaolin Zhou,et al."A Real-Time Atrial Fibrillation Detection Algorithm Based on the Instantaneous State of Heart Rate".PLoS ONE (2015). |
入库方式： OAI收割
来源：深圳先进技术研究院
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