Method for extracting and analyzing intra-abdominal pressure through FMCW radar on the basis of deep learning

A deep learning, internal pressure technology, applied in medical science, diagnosis, diagnostic recording/measurement, etc., can solve problems such as the impact of patient comfort, and achieve the effect of avoiding infection risk, improving comfort, and improving ability

Pending Publication Date: 2022-01-07
CHONGQING UNIV
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Problems solved by technology

It is also invasive. When the patient is not critically ill, it is impossible to insert a urinary catheter into the bladder for me

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  • Method for extracting and analyzing intra-abdominal pressure through FMCW radar on the basis of deep learning
  • Method for extracting and analyzing intra-abdominal pressure through FMCW radar on the basis of deep learning
  • Method for extracting and analyzing intra-abdominal pressure through FMCW radar on the basis of deep learning

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Embodiment Construction

[0062] The technical solutions in the invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0063] A method for extracting and analyzing intra-abdominal pressure based on deep learning FMCW radar, comprising the following steps:

[0064] S1: Place the FMCW millimeter-wave radar system (with a transmitting antenna (TX) and a receiving antenna (RX)) next to the observation object, and transmit millimeter-level chirp continuous wave signals toward the abdomen of the observation object, and collect The reflected radar wave; the original data signal is obtained by mixing the reflected radar wave with the original transmitted signal;

[0065] S2: The raw data signal extracts the vital sign signal including the abdominal respiration signal of the observed object through fast Fourier transform, and then filters out the noise through the Butterworth filter;

[0066] S3: Input the vital sign signal including the abdominal respiration...

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Abstract

The invention relates to the field of life body feature collection and calculation, in particular to a method for extracting and analyzing intra-abdominal pressure through an FMCW radar on the basis of deep learning. The life body feature signal, which contains an abdominal respiration signal, of a test object is collected through the FMCW radar; feature extraction is carried out on the life body feature signal, and the life body feature signal subjected to the feature extraction is input into a pre-built neural network to carry out calculation; an attention mechanism is introduced to carry out importance calculation on multi-channel abdominal respiration signals; features of different quantities are extracted from channels of different importance in a self-adaptive mode; the features are combined with hidden features extracted through discrete wavelet transformation to improve the capacity of a neural network algorithm; time domain information in more abdominal respiration signals is obtained; and the time domain information is associated with the intra-abdominal pressure of the body of the test object so as to reckon the intra-abdominal pressure of the body of the test object. Compared with a traditional intrusive or contact type intra-abdominal pressure measuring method, the method is a brand-new non-contact type intra-abdominal pressure measuring method.

Description

technical field [0001] The invention relates to the field of acquisition and calculation of vital body characteristics, in particular to a deep learning-based FMCW radar extraction and analysis method for intra-abdominal pressure. Background technique [0002] There are two methods of clinically measuring intra-abdominal pressure: [0003] 1. Direct pressure measurement, place a tube in the abdominal cavity, and then connect a pressure sensor or continuously monitor the pressure through an automatic insufflation machine during laparoscopic surgery. Direct intraperitoneal puncture pressure measurement is to insert a needle or catheter into the abdominal cavity, then Physiological saline will be connected with a transducer or an infusion set through a tee, and the midaxillary line will be used as the zero point for pressure measurement during measurement. Or use a microcatheter to measure the pressure. A catheter with a microelectrode on the tip is inserted into the abdominal...

Claims

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Application Information

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IPC IPC(8): A61B5/05A61B5/03A61B5/113
CPCA61B5/05A61B5/03A61B5/113A61B5/7203A61B5/725A61B5/7257A61B5/7264Y02A90/10
Inventor 曹海林陈富强戴彦博朱苡良周子恒孙志伟
Owner CHONGQING UNIV
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