Department of Biomechanics, Science and Research Branch, Islamic Azad University, Tehran, Iran.
Biomed Eng Online. 2011 May 31;10:42. doi: 10.1186/1475-925X-10-42.
Although cardiac auscultation remains important to detect abnormal sounds and murmurs indicative of cardiac pathology, the application of electronic methods remains seldom used in everyday clinical practice. In this report we provide preliminary data showing how the phonocardiogram can be analyzed using color spectrographic techniques and discuss how such information may be of future value for noninvasive cardiac monitoring.
We digitally recorded the phonocardiogram using a high-speed USB interface and the program Gold Wave http://www.goldwave.com in 55 infants and adults with cardiac structural disease as well as from normal individuals and individuals with innocent murmurs. Color spectrographic analysis of the signal was performed using Spectrogram (Version 16) as a well as custom MATLAB code.
Our preliminary data is presented as a series of seven cases.
We expect the application of spectrographic techniques to phonocardiography to grow substantially as ongoing research demonstrates its utility in various clinical settings. Our evaluation of a simple, low-cost phonocardiographic recording and analysis system to assist in determining the characteristic features of heart murmurs shows promise in helping distinguish innocent systolic murmurs from pathological murmurs in children and is expected to useful in other clinical settings as well.
尽管心脏听诊对于检测提示心脏病理学异常的异常声音和杂音仍然很重要，但电子方法的应用在日常临床实践中仍然很少使用。在本报告中，我们提供了初步数据，展示了如何使用彩色频谱技术分析心音图，并讨论了这种信息如何对未来的非侵入性心脏监测具有价值。
我们使用高速 USB 接口和 Gold Wave http://www.goldwave.com 程序对 55 名患有结构性心脏病的婴儿和成人以及正常人和有单纯杂音的个体进行了心音图的数字化记录。使用 Spectrogram（版本 16）和自定义 MATLAB 代码对信号进行彩色频谱分析。
我们的初步数据以七个案例的形式呈现。
随着正在进行的研究证明其在各种临床环境中的实用性，我们预计频谱技术在心音图中的应用将大幅增长。我们对一种简单、低成本的心音记录和分析系统的评估有助于确定心杂音的特征，有望帮助区分儿童的单纯收缩期杂音和病理性杂音，并有望在其他临床环境中也具有实用性。
