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A pulse feature extraction system and method based on eemd-pncc

A feature extraction and pulse technology, which is applied in the field of pulse feature extraction system based on EEMD-PNCC, can solve the problems of inconvenient analysis and diagnosis, failure to obtain pulse feature information, etc.

Active Publication Date: 2022-04-15
FOSHAN UNIVERSITY
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Problems solved by technology

[0004] Based on this, in order to solve the problem that the traditional pulse feature quantitative analysis method cannot obtain complete pulse feature information when extracting pulse data signal features and is not convenient for subsequent analysis and diagnosis, the present invention provides a pulse feature extraction based on EEMD-PNCC System and method, its specific technical scheme is as follows:

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  • A pulse feature extraction system and method based on eemd-pncc
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  • A pulse feature extraction system and method based on eemd-pncc

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[0033] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with its embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, and do not limit the protection scope of the present invention.

[0034] It should be noted that when an element is referred to as being “fixed” to another element, it can be directly on the other element or there can also be an intervening element. When an element is referred to as being "connected to" another element, it can be directly connected to the other element or intervening elements may also be present. The terms "vertical," "horizontal," "left," "right," and similar expressions are used herein for purposes of illustration only and are not intended to represent the only embodiments.

[0035] Unless otherwise defined, all technical and scientific t...

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Abstract

The invention provides a pulse feature extraction system based on EEMD-PNCC, which includes a pulse acquisition module, a pulse curve model building module and a pulse feature processing module. The pulse acquisition module is used to collect pulse data information and preprocess the pulse data information, and the pulse curve model building module is used to receive the preprocessed pulse data information and construct a multi-period time-domain feature model according to the preprocessed pulse data information, The pulse feature processing module is used to obtain the pulse frequency domain feature information according to the preprocessed pulse data information, and obtain the pulse feature model according to the multi-period time domain feature model and the pulse frequency domain feature information. The present invention can accurately obtain complete pulse feature information, facilitate subsequent quantitative analysis of the pulse feature information, and can assist doctors in clinically objective diagnosis through the pulse feature information. Correspondingly, the present invention also provides a pulse feature extraction method based on EEMD-PNCC.

Description

technical field [0001] The present invention relates to the technical field of data processing, in particular to a pulse feature extraction system and method based on EEMD-PNCC. Background technique [0002] Pulse pressure and changes in pulse characteristics are important bases for evaluating the physiological and pathological state of the human cardiovascular system. Whether it is TCM pulse monitoring or Western medical cardiovascular disease examination, all attempts are made to extract various physiological and pathological information from pulse wave characteristics. At present, pulse diagnosis mainly relies on the subjective diagnosis of doctors, but due to the complexity and variety of pulse signals, doctors may have the problem of subjective misdiagnosis in clinical diagnosis. In order to solve the problem of subjective misdiagnosis of doctors in clinical diagnosis, it is necessary to use pulse characteristics for quantitative analysis, and the key to objective diagn...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B5/02A61B5/00G06V40/10G06V10/48G06V10/52
CPCA61B5/02007A61B5/7203G06V40/10G06V40/15G06V10/48G06V10/52
Inventor 王志锋郭成龙陈海初谢恒郑焕楠陈广新余猛
Owner FOSHAN UNIVERSITY
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