Application of a BP Network Based on PCA in ECG Diagnosis of the LVH

摘要：

A BP neural network model based on the principal component analysis (PCA) was proposed to predicate the Left Ventricular Hypertrophy (LVH), the results showed that, the prediction accuracy of the modified model (99.6％) was superior to the pure BP neural model without PCA (98.5％) obviously.

关键词： BP neural network principal component analysis (PCA) ECG Left Ventricular Hypertrophy (LVH)

作者: Guangchen Liu Mei Song

作者单位: School of Mathematics and Information Ludong University Yantai,China

会议类型: 国际会议

会议名称: The 3rd International Conference on Bioinformatics and Biomedical Engineering(iCBBE 2009)(第三届生物信息与生物医学工程国际会议)

会议地点: 北京

会议语种:英文

页码: 1-3

在线出版日期: 2009-06-11（万方平台首次上网日期，不代表论文的发表时间）