https://scholars.lib.ntu.edu.tw/handle/123456789/484353
標題: | Smart computing mechanism for noise detection and elimination in ECG signal | 作者: | Ho, T.-W. Lin, F.-C. Lin, C.-M. FEI-PEI LAI |
關鍵字: | Electrocardiogram; Signal processing; Smart computing | 公開日期: | 2017 | 起(迄)頁: | 28-33 | 來源出版物: | 2017 IEEE International Conference on Big Data and Smart Computing, BigComp 2017 | 摘要: | The cardiovascular disease is one of the most common causes of death around the world. The analysis of electrocardiograms (ECGs) is an important tool in early diagnosis of arrhythmias. However, sometime the measurement data would be corrupted by noises which may cause by the wrong equipment operation, poor contact of the electrode, or even the breath of the users. These noises would make cardiologists or automatic detection system hard to make a correct diagnosis. Therefore, the noise detection and elimination of ECG data become an important issue. In this study, we proposed a detection and elimination mechanism for the five types of noise. Besides, if the segment does not have any important information and cannot be repaired, we will eliminate it and combine the remaining usable segments into a pure signal for ECG enhancement. The experimental results showed that the noise recognition classifier yielded 0.956 area under the ROC curve, 84.4% accuracy, 97.8% sensitivity, and 80.5% specificity, respectively. The accuracy of disease detection system also could be improved by using the combination of usable segments. Hence, we believed this smart computing mechanism could address ECG enhancement and interpret a contaminated ECG signal more accurately. ? 2017 IEEE. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/484353 | DOI: | 10.1109/BIGCOMP.2017.7881711 | SDG/關鍵字: | Big data; Diagnosis; Electrocardiography; Signal processing; Area under the ROC curve; Automatic detection systems; Cardio-vascular disease; Causes of death; Disease detection; Measurement data; Noise detection; Smart computing; Biomedical signal processing |
顯示於: | 生醫電子與資訊學研究所 |
在 IR 系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。