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Scatter diagram classification method and device for optical volume tracing signals

A classification method and a scatter diagram technique, applied in the field of signal processing, can solve problems such as inconvenient long-term monitoring of test objects

Pending Publication Date: 2020-12-11
LEPU MEDICAL TECH (BEIJING) CO LTD
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Problems solved by technology

However, the conventional ECG signal acquisition method is not convenient for long-term monitoring of test objects at any time.

Method used

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  • Scatter diagram classification method and device for optical volume tracing signals
  • Scatter diagram classification method and device for optical volume tracing signals
  • Scatter diagram classification method and device for optical volume tracing signals

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Embodiment Construction

[0061] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments . Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0062] Before elaborating on the embodiment of the present invention in detail, a brief description will be given of the structure and data format of the above-mentioned artificial intelligence network for confirming the classification of scattergrams.

[0063] After the artificial intelligence network performs the corresponding classification confirmation calculation on the scatter diagram, two weight data will be obtained: classification ...

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Abstract

The embodiment of the invention relates to a scatter diagram classification method and device for optical volume tracing signals. The method comprises the steps of acquiring PPG signals; performing signal sampling processing on the PPG signals to generate PPG sampling signals; generating a corresponding scatter diagram two-dimensional tensor according to the PPG sampling signals, the sampling frequency and the maximum value of the heart beat interval; performing convolution pooling calculation, full connection calculation and normalization index calculation on the two-dimensional tensor of thescatter diagram by using an artificial intelligence network to obtain a normalized two-dimensional tensor; performing classification confirmation processing according to the normalized two-dimensional tensor to generate confirmation data; wherein the confirmation data comprises reasonable classification information and unreasonable classification information. According to the embodiment of the invention, the method reduces the generation difficulty of the scatter diagram, and enriches the application scenes of an optical volume tracing method in the field of health monitoring.

Description

technical field [0001] The invention relates to the technical field of signal processing, in particular to a method and device for scattergram classification of photoplethysmography signals. Background technique [0002] The time interval between the peak points of adjacent ECG signal waveforms is regarded as a cardiac cycle time, which is called the heartbeat interval. The heartbeat interval scattergram (scattergram for short) is to identify the corresponding heart rhythm characteristics by observing the change of the heartbeat interval data in the form of two-dimensional coordinates. The abscissa of each scatter point in the scatter diagram indicates the previous heartbeat interval of a certain heartbeat action, and the ordinate indicates the subsequent heartbeat interval of a certain heartbeat action. By identifying the distribution of scatter points in the scatter diagram, the overall dominant rhythm of the heart can be grasped; the RR interval scatter diagram can be us...

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Application Information

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IPC IPC(8): G06K9/00G06N3/04
CPCG06N3/045G06F2218/10G06F2218/12G06N3/08G06F18/213G06F2218/18Y02A90/10A61B5/021A61B5/02416A61B5/7264A61B5/7275
Inventor 曹君孙洪岱李喆
Owner LEPU MEDICAL TECH (BEIJING) CO LTD
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