| 基于单导肺音信号的呼吸气相识别 |
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| 引用本文： | 郑燕娇,钱翔,周一平,张卫星,叶大田.基于单导肺音信号的呼吸气相识别[J].清华大学学报(自然科学版),2008(12). |
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| 作者姓名： | 郑燕娇 钱翔 周一平 张卫星 叶大田 |
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| 作者单位： | 清华大学生物医学工程系;清华大学深圳研究生院生物医学工程研究中心;广东医学院附属福田人民医院;北京大学深圳医院; |
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| 基金项目： | 国家“十一五”规划支撑项目(2006BAC07B01) |
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| 摘 要： | 为进行不用测量气流的自动肺音识别,提出了一种基于单导肺音信号的呼吸气相检测算法。在肺音平均功率谱上定位出吸气顶点和呼吸气相切换点。通过吸气顶点,来判断气相模式,为肺音特征分析提供时域定位标准。经37例实验数据验证,结果表明:全自动模式下正常肺音分相准确率为85.7%,半自动模式下的准确率达92.3%。该算法可有效地识别呼吸气相,可简化肺音研究。
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| 关 键 词： | 呼吸相识别 肺音 吸气顶点 气相切换点 |
Respiratory phase detection based on one lung sound signal |
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| ZHENG Yanjiao,QIAN Xiang,ZHOU Yiping,ZHANG Weixing,YE Datian.Respiratory phase detection based on one lung sound signal[J].Journal of Tsinghua University(Science and Technology),2008(12). |
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| Authors: | ZHENG Yanjiao QIAN Xiang ZHOU Yiping ZHANG Weixing YE Datian |
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| Institution: | ZHENG Yanjiao1,QIAN Xiang2,ZHOU Yiping3,ZHANG Weixing4,YE Datian2(1.Department of Biomedical Engineering,Tsinghua University,Beijing 100084,China,2.Research Center for Biomedical Engineering of Graduate School at Shenzhen,Shenzhen 518055,3.The Futian People\'s Hospital of Shenzhen City,Shenzhen 518033,4.Beijing University Shenzhen Hospital,Shenzhen 518036,China) |
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| Abstract: | A respiratory phase detection method was developed for automatic lung sound recognition without measuring the airflow.The transition points between the respiration phases and the inspiration peaks were located using the average power spectrum of lung sound.The respiratory phase pattern was evaluated from the respiration peaks to provide the time domain localization reference for lung sound feature analyzation.The method was verified using 37 recorded lung sounds.The results show that phase detection accurac... |
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| Keywords: | respiratory phase detection lung sound inspiration peaks phase transition points |
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