| 机械瓣心音频谱分析与基于改进LDB算法的识别 |
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| 引用本文： | Zhang D,Wu Y,Yao J,Yang S,Du M. 机械瓣心音频谱分析与基于改进LDB算法的识别[J]. 生物医学工程学杂志, 2011, 28(6): 1207-1212 |
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| 作者姓名： | Zhang D Wu Y Yao J Yang S Du M |
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| 作者单位： | 韶关学院计算机科学学院;华南理工大学电子与信息学院;中山大学附属第一医院心脏外科; |
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| 基金项目： | 国家自然科学基金资助项目(60772117); 广东省自然科学基金资助项目(07006491) |
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| 摘 要： | 听诊是通过听取心脏所发出的声音来帮助诊断各种心脏疾病的一种有效手段。鉴于目前机械瓣的使用非常普遍,研究简单有效的机械瓣病变判别方法对于临床诊断来讲具有很大的意义。针对五种不同的机械瓣心音进行的分析表明,运用频谱仅能鉴别瓣周漏这一种机械瓣病变。虽然直接利用信号的时频成分进行机械瓣心音分类是可能的,但识别率只有84.0%。利用改进的局部最优基(LDB)算法来提取特征对机械瓣心音分类有着非常大的帮助,识别率达到了97.3%。与原始的LDB算法相比,实验表明改进后的LDB算法对提高识别率和降低计算复杂性都有着明显的优势。
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| 关 键 词： | 心音 人工机械瓣 功率谱估计 局部最优基 |
Spectral analysis and LDB based classification of heart sounds with mechanical prosthetic heart valves |
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| Zhang Di,Wu Yuequan,Yao Jianping,Yang Song,Du Minghui. Spectral analysis and LDB based classification of heart sounds with mechanical prosthetic heart valves[J]. Journal of biomedical engineering, 2011, 28(6): 1207-1212 |
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| Authors: | Zhang Di Wu Yuequan Yao Jianping Yang Song Du Minghui |
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| Affiliation: | Zhang Di1,2 Wu Yuequan2 Yao Jianping3 Yang Song3 Du Minghui2 1(Department of Computer Science,Shaoguan University,Shaoguan 512005,China) 2(College of Electronics and Information,South China University of Technology,Guangzhou 510641,China) 3(Department of Cardiac Surgery,the First Affiliated Hospital,Sun Yat-sen University,Guangzhou 510080,China) |
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| Abstract: | Auscultation,the act of listening for heart sounds to aid in the diagnosis of various heart diseases,is a widely used efficient technique by cardiologists.Since the mechanical prosthetic heart valves are widely used today,it is important to develop a simple and efficient method to detect abnormal mechanical valves.The study on five different mechanical valves showed that only the case of perivalvular leakage could be detected by spectral estimation.Though it is possible to classify different mechanical valv... |
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| Keywords: | Heart sounds Mechanical prosthetic heart valve Spectral estimation Local discriminant bases(LDB) |
| 本文献已被 CNKI PubMed 等数据库收录！ |
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