Detection of Electrocardiography Based on Wavelet Transform and Extended Kalman Filter

摘要：

This paper combined wavelet transform with extended kalman algorithm.By using wavelet transform which has characteristics of multiresolution to decompose the signal of ECG and then to filter the signal of ECG in each scale.Finally a decision rule is used to determine the QRS wave.The QRS detector has an average sensitivity of Se = 99.34％ and a positive predictivity P+= 99.28％ by evaluating the algorithm on MIT-BIH Database.

关键词： Electrocardiography Wavelet Transform Extended Kalman Filter

作者: Hanlei Dong

作者单位: Department of Computer and Information Engineering, Luoyang Institute of Science and Technology Luoyang,China

会议类型: 国际会议

会议名称: 2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics 第4届智能人机系统与控制论国际会议 IHMSC 2012

会议地点: 南昌

会议语种:英文

页码: 138-140

在线出版日期: 2012-08-26（万方平台首次上网日期，不代表论文的发表时间）