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An abnormal heart sound recognition method based on lempel-ziv complexity

A recognition method and technology of complexity, applied in the field of medical measurement and signal processing, can solve the problems of difficult to meet high-speed operation, complex algorithm, large amount of calculation, etc., to achieve the effect of fast identification, simple code and small amount of calculation

Active Publication Date: 2019-12-17
FOSHAN BAIBUTI MEDICAL TECH CO LTD
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Problems solved by technology

[0003] Common methods for identifying abnormal heart sounds include the use of correlation differences and frequency distribution differences between abnormal heart sounds and normal heart sounds. These methods have a large amount of calculation and relatively complex algorithms, which are difficult to meet the high-speed computing requirements of mobile medical health monitoring equipment.

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  • An abnormal heart sound recognition method based on lempel-ziv complexity
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  • An abnormal heart sound recognition method based on lempel-ziv complexity

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Embodiment

[0045] The present embodiment provides a method for identifying abnormal heart sounds based on Lempel-Ziv complexity, the process is as follows figure 1 shown, including the following steps:

[0046] The first step is to use the recording equipment to obtain the heart sound signal j∈{1,2,...,N s}, where N s is a positive integer;

[0047] Since the effective frequency band of the heart sound signal is 1-1200 Hz. And because the present invention is not high to the fidelity requirement of heart sound, therefore can select sampling frequency as f s = 8.012KHz. In order to detect whether the heart sound is abnormal, it is necessary to select heart sound signals of at least one complete heartbeat cycle. For the purpose of reducing the amount of calculation, the calculation is based on a heart rate of 75 beats per minute, and the length of the heart sound signal is taken to be 0.8 to 1 second; if the sampling frequency is f s =8.012KHz, and collect the heart sound signal for ...

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Abstract

The invention discloses an abnormal heart sound recognition method based on Lempel-Ziv complexity. The steps include recording a section of heart sound signal with recording equipment first, selecting a section of signal containing at least one heart sound complete period from the section of the heart sound signal; then performing framing calculation and intercepting an energy value of the heart sound signal, and obtaining an envelop value of the intercepted heart sound signal through low-pass filtering processing; dividing the intercepted heart sound signal into a first heart sound, a first and second heart sound interval and a second heart sound, and calculating Lempel-Ziv complexity of corresponding envelopes; calculating Lempel-Ziv complexity of the envelopes of the normal heart sound first heart sound, the first and second heart sound interval and the second heart sound, and determining the distribution law; and judging whether detected heart sound is abnormal according to the normal heart sound distribution law. The abnormal heart sound recognition method based on Lempel-Ziv complexity calculates the Lempel-Ziv complexity of fragment envelopes according to three stages, and judges whether the heart sound is abnormal, the calculation is simple and convenient and the speed is relatively fast, and the method is suitable for recognition of abnormal heart sound in a household electronic auscultation auxiliary diagnosis and treatment system.

Description

technical field [0001] The invention relates to the technical field of medical measurement and signal processing, in particular to an abnormal heart sound recognition method based on Lempel-Ziv complexity. Background technique [0002] Physicians can often diagnose heart disease based on a patient's heart sounds. With the continuous development of mobile medical health monitoring equipment, smart devices can be developed to realize the automatic identification of abnormal heart sounds and the initial screening of suspected abnormal heart sounds, so as to alleviate the increasingly tense medical resources. In addition, it is not easy to detect early heart disease based on subjective feelings alone. If mobile medical health monitoring equipment can identify suspected abnormal heart sounds and alarm, it will help early diagnosis and treatment of diseases. [0003] Common methods for identifying abnormal heart sounds include the use of correlation differences and frequency dist...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G10L25/66G10L21/0208
CPCG10L21/0208G10L25/66
Inventor 莫鸿强徐伟钊王伟杰田翔谈志军
Owner FOSHAN BAIBUTI MEDICAL TECH CO LTD
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