Dynamic characteristic analysis method of real-time tendency of heart state

A technology of dynamic characteristics and analysis methods, applied in medical science, sensors, diagnostic recording/measurement, etc., can solve the problem of inability to fully describe the physiological/pathological characteristics of the heart, the inability to divide the heart activity state, and the inability to describe the heart state and heart state dynamics learning adaptability

Inactive Publication Date: 2007-01-03
ZHEJIANG UNIV
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Problems solved by technology

However, the time information scale is not clearly introduced, the state of short-term cardiac activity cannot be divided, and the stability of the cardiac state and the dynamic adaptability of the cardiac state cann

Method used

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  • Dynamic characteristic analysis method of real-time tendency of heart state
  • Dynamic characteristic analysis method of real-time tendency of heart state
  • Dynamic characteristic analysis method of real-time tendency of heart state

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Embodiment Construction

[0018] The present invention will be further described below in conjunction with drawings and embodiments.

[0019] 1. Acquisition of RR ECG interval. The ECG waveform is obtained by the following device, which consists of body surface electrodes and high input impedance, low noise, high common-mode rejection ratio ECG amplifier; 12-bit A / D converter; XSCAL ARM embedded processing system;

[0020] 2. Time-series heart rate discrete variation scatter point analysis method and analysis method for extracting cardiac dynamic characteristic parameters and trend characteristic parameters:

[0021] a) The wavelet transform extracts the RR interval from the QRS complex of the 3 / 5-lead ECG. Such as figure 2 Calculate the RR interval as shown in the right sub-figure, such as figure 2 The coordinate points of the scatter plot are calculated as shown in the left sub-figure, and the current RR interval (RR n+1 ) to the previous RR interval (RR n+1 ) to form a sequence even two-dimen...

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Abstract

The dynamic characteristic analysis method of real-time tendency of heart state includes: obtaining electorcardiac waveform with multipath electorcardiac amplifier and 12-bit A/D converter; forming time sequence related heart rate variation scatter diagram by means of space-time correlation technology and scatter diagram technology; extracting time sequence related characteristic parameters, short time-real time characteristic conversion illustration parameter and quantized space-time parameter indexes of characteristic illustration via automatic and manual interaction; classifying the illustration and quantized space-time parameters in artificial neural network; and describing dynamic characteristics and relevant invariance characteristics of heart rate variation in a nine-dimensional and a five-dimensional space with two independent curve surfaces and their boundary to represent the heart function.

Description

technical field [0001] The invention relates to a probe measurement method for diagnostic purposes. In particular, it relates to a method for early analysis of heart disease and heart dynamics feature identification based on time-series correlation scatter diagram technology. Background technique [0002] The characteristic parameters of the Poincare scatter diagram reflecting heart rate variability are closely related to many heart diseases, including ventricular conduction block, myocardial ischemia, myocardial injury, sympathetic-parasympathetic regulation and humoral regulation. The ability to assess autonomous heart rate control using heart rate variability measurements has become a key source of information on cardiovascular function. In particular, it has been used as an independent marker of negative prognosis in patients with acute myocardial ischemia. Over the years, scholars at home and abroad have confirmed that heart rate variability has a strong and concise s...

Claims

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Application Information

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IPC IPC(8): A61B5/0402
Inventor 陈杭刘峰叶树明顾斐吕维敏
Owner ZHEJIANG UNIV
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