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首页> 外文会议>IEEE International Conference on Computational Intelligence and Cybernetics;IEEE International Conference on Communication, Networks and Satellite >Exploration of cardiac valvular hemodynamics by heart sound analysis of hypertensive cardiac disease background patients
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Exploration of cardiac valvular hemodynamics by heart sound analysis of hypertensive cardiac disease background patients

机译：高血压心脏病背景患者心脏声音分析心脏瓣膜血流动力学的探讨

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Heart sounds reflect heart valve activities, cardiac muscle contractions, and hemodynamics of heart. Auscultation technique is one of valuable methods for diagnosis. There are limitations in traditional auscultation stimulate utilization of signal processing methods to extract important characteristics of the heart sounds. We proposed Continuous Wavelet Transform (CWT) as time-frequency analysis for exploration of cardiac valvular hemodynamics of two normal subjects with hypertensive heart disease history. Decimation and a wavelet denoising were used for filtering. A normalized average Shannon energy was used for heart sound signal segmentation. Time-scale maps resulted by calculation of CWT were processed using thresholding method to localize temporal and frequency-related information of valvular activities of each cardiac sub-cycle. The temporal and frequency-related parameters were spaced time between systolic (S1) and diastolic (S2), activities of mitral (M1) and tricuspid (T1) valves during systolic period, aortic (A2) and pulmonary (P2) valves during diastolic period, and split time between valve activities in each cycle. Results of this study were considered to be valuable to explain the cardiac valvular hemodynamics of heart sounds precisely. The results indicate the benefit of the developed method to be applied in analyzing heart sound characteristics. The results are very helpful information for clinical use. Next topic of our research was addressed to expand the analytical method to other pathological background. The research work would be finalized by development of software analysis of cardiac pathology diagnostic system.
机译：心脏声音反映了心脏瓣膜活动，心肌收缩和心脏的血流动力学。听诊技术是诊断有价值的方法之一。传统的听诊存在局限性刺激信号处理方法的利用，以提取心脏声音的重要特征。我们提出了连续小波变换（CWT）作为探索两次正常受试者心血管血流动力学探索的时频分析。抽取和小波去噪用于过滤。标准化的平均Shannon能量用于心声信号分割。使用阈值化方法处理通过计算CWT而导致的时间尺度图，以定位每个心脏循环的阀瓣活动的时间和频率相关信息。时间和频率相关参数在收缩系统（S1）和舒张（S2）之间，二尖瓣（M1）和三尖瓣（T1）阀在舒张期期间的二尖瓣（A2）和肺（P2）阀期间的二尖瓣（M1）和三尖瓣（T1）阀之间的间隔时间。 ，每个周期中的阀门活动之间的分割时间。该研究的结果被认为是有价值的，可以准确地解释心脏声音的心脏瓣膜血流动力学。结果表明了开发方法应用于分析心脏声音特性的益处。结果是临床使用的非常有用的信息。我们研究的下一话题是为了扩大其他病理背景的分析方法。通过开发心脏病理学诊断系统的软件分析，将最终确定研究工作。

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