A Time-Frequency Approach for Discrimination of Heart Murmurs

• 作者: Hassan Ghassemian Sepideh Jabbari
• 来源期刊: 信号与信息处理(英文)
• 学科: 医学
• 关键词: PHONOCARDIOGRAM (PCG) MURMUR Matching PURSUIT (MP) TIME-FREQUENCY atom Clustering
• 年，卷（期）: 2011,（3）
• 页码范围: 232-237
• 页数: 6页
• 分类号: R73

摘要

In this paper, a novel framework based on a time-frequency (TF) approach is proposed for detection of murmurs from heart sound signal. First, a high-resolution TF algorithm, matching pursuit, was used to decompose each heart beat into a series of TF atoms selected from a redundant dictionary. Next, representative components of murmurs were identified by clustering the selected atoms of all the beats into a finite number of clusters. Then, Wigner-Ville distribution of the representative components was used to generate a set of 8 features which were fed to a classifier. Experiments with a dataset consisting of heart sounds from 35 normal and 35 pathological subjects showed a classification accuracy of 95.71% in distinguishing murmurs from normal heart sounds.