CN113144300A - Gastrointestinal decompression device, decompression system and decompression method for clinical use in digestive system department - Google Patents

Gastrointestinal decompression device, decompression system and decompression method for clinical use in digestive system department Download PDF

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CN113144300A
CN113144300A CN202110293738.1A CN202110293738A CN113144300A CN 113144300 A CN113144300 A CN 113144300A CN 202110293738 A CN202110293738 A CN 202110293738A CN 113144300 A CN113144300 A CN 113144300A
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gastrointestinal
pressure
drainage
module
central control
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熊红燕
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920th Hospital of the Joint Logistics Support Force of PLA
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920th Hospital of the Joint Logistics Support Force of PLA
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Abstract

The invention belongs to the technical field of gastrointestinal decompression, and discloses a gastrointestinal decompression device, a decompression system and a decompression method for gastroenterology clinical use, wherein a physiological data acquisition module acquires physiological data of a patient; the pressure acquisition module acquires gastrointestinal pressure data of a patient; the gastrointestinal image acquisition module acquires gastrointestinal image data of a patient; the adjusting and setting module sets a pressure adjusting value and a drainage adjusting value; the image enhancement module is used for enhancing the collected gastrointestinal images; the pressure reduction module is used for reducing the pressure of the intestines and stomach; the drainage module drains liquid and gas in the intestines and the stomach; the metering module is used for metering the exhaust amount and the exhaust rate; the filtering module absorbs and filters peculiar smell in intestinal gastric juice or gastrointestinal gas; the drainage fluid analysis module identifies whether blood is present in the drainage fluid. The invention can effectively and adaptively regulate pressure, not only can regulate the pressure stably to ensure the safety, but also can regulate the pressure in a variable way, is suitable for different patients and improves the practicability.

Description

Gastrointestinal decompression device, decompression system and decompression method for clinical use in digestive system department
Technical Field
The invention belongs to the technical field of gastrointestinal decompression, and particularly relates to a gastrointestinal decompression device, a decompression system and a decompression method for gastroenterology clinical use.
Background
The stomach and small and large intestine portions of the digestive system are generally referred to as the intestines and stomach. While the stomach and small intestine are the core of nutrient absorption. The nutrition required by human body almost needs to pass through intestines and stomach. The intestines and stomach become the most important organ for digestion. The stomach is divided into four parts, namely a cardia part, a fundus, a stomach body and a pylorus part. The stomach functions include food intake, food blending, and gastric juice secretion; and has endocrine function, can produce hormone, and promote gastrointestinal activity. The stomach of a typical adult can hold 12 jin of food. When the food eaten by the user reaches the stomach, the stomach can secrete a large amount of gastric acid to corrode and melt the food and prepare the food for entering the duodenum to be absorbed. However, gastrointestinal images acquired by the conventional gastrointestinal decompression device for clinical use in the digestive system are not clear, so that diagnosis and treatment of the intestines and the stomach are influenced; at the same time, gastrointestinal disorders cannot be predicted accurately.
In summary, the problems of the prior art are as follows: the conventional gastrointestinal decompression device for clinical digestive system department cannot perform adaptive pressure regulation and drainage rate regulation well, so that the experience of patients is poor; meanwhile, the air displacement cannot be measured, and whether bleeding symptoms exist or not cannot be found in time; the collected gastrointestinal images are not clear, so that diagnosis and treatment of the intestines and the stomach are influenced; at the same time, gastrointestinal disorders cannot be predicted accurately.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a gastrointestinal decompression device, a decompression system and a decompression method for clinical use in digestive system department.
The invention is realized in such a way that a gastrointestinal decompression method for clinical use in digestive system department comprises the following steps:
acquiring physiological data of a patient through medical equipment; acquiring gastrointestinal pressure data of a patient through a pressure sensor; acquiring gastrointestinal image data of a patient through medical imaging equipment;
step two, after the relevant data is collected in the step one, selecting a pressure adjusting mode, wherein the selected pressure adjusting mode is pressure stabilizing adjustment or pressure changing adjustment; selecting a drainage regulation mode comprising fixed rate regulation or variable speed regulation;
when pressure stabilizing adjustment is selected, a constant pressure value is preset, and when the obtained gastrointestinal pressure data is different from the preset pressure value, the gastrointestinal pressure is adjusted to the preset constant pressure value by using a negative pressure pump;
when variable pressure adjustment is selected, pressure adjustment can be performed in real time by using the adjusting button based on the state of the patient;
when the drainage regulation mode is selected as the fixed rate, presetting the constant drainage rate, and keeping the drainage rate consistent with the preset rate through the flow regulating valve;
when the drainage rate is selected as variable speed regulation, the flow regulating valve can be used for real-time rate regulation according to the exhaust volume of the patient;
step three, after the pressure adjusting mode is selected in the step two, the acquired gastrointestinal images are enhanced through an image enhancement program, a gastrointestinal image sequence related to an imaging parameter is acquired in a mode of adjusting the imaging parameter through the image enhancement program, and the gastrointestinal image sequence comprises n gastrointestinal images;
manually drawing an interested region from the gastrointestinal image sequence, and calculating the average value of pixel values of the interested region to form an n-dimensional reference signal;
calculating the relative amplitude value and the residual information value of each n-dimensional signal in the gastrointestinal image sequence relative to the reference signal point by point;
the relative amplitude values of all points together form a relative amplitude map and the residual information values of all points together form a residual information map.
Step four, decompressing the intestines and stomach by a negative pressure pump based on the pressure adjusting mode and the parameters set in the step two; draining liquid and gas in the intestines and the stomach through the stomach tube based on a preset drainage mode and parameters;
step five, when the liquid and the gas in the intestines and stomach are drained in the step four, the gas displacement and the gas displacement rate are measured by using a gas measuring instrument; absorbing and filtering the peculiar smell in the intestinal gastric juice or the gastrointestinal gas through a filter; identifying whether blood exists in the drainage fluid by using a color identification sensor;
step six, after relevant information measurement and identification are carried out in the step five, a pathological data source and daily monitoring data of the chronic gastroenteritis disease cause are obtained through a prediction program, a chronic gastroenteritis daily constant data database is established, and comparison is carried out;
step seven, training the neural network model in an off-line mode according to the daily data database of the chronic gastroenteritis established in the step six to obtain a trained pathological neural network model of the chronic gastroenteritis;
step eight, acquiring daily life data through the intelligent monitoring equipment, sending the acquired daily life data to the server, and storing the daily life data into a daily life data recording table by the server;
step nine, extracting the data of the day from the daily data record table to form an n-dimensional vector, performing normalization processing on the n-dimensional vector, inputting the normalized n-dimensional vector into the chronic gastroenteritis pathological neural network model trained in the step seven to predict the chronic gastroenteritis probability, and transmitting the chronic gastroenteritis probability to intelligent household chronic gastroenteritis nursing equipment by the server;
step ten, after receiving the chronic gastroenteritis probability transmitted by the server, the intelligent home chronic gastroenteritis nursing equipment judges whether the chronic gastroenteritis probability value is greater than 0.5, if so, judges that the chronic gastroenteritis is obtained, and warns the intelligent home chronic gastroenteritis nursing equipment to remind the intelligent home chronic gastroenteritis nursing equipment, and if not, judges that the chronic gastroenteritis is not obtained;
step eleven, when the chronic gastroenteritis needs to be checked, the checking result is transmitted back to the server through intelligent household chronic gastroenteritis nursing equipment, the server judges whether the checking result is correct or not, if the checking result is wrong, the prediction of the chronic gastroenteritis pathological neural network model is inaccurate, and if the checking result is correct, the prediction of the chronic gastroenteritis pathological neural network model is accurate;
step twelve, when the checking result is wrong, extracting records within m days from the daily data record table and storing the records into an incremental data table, and when the number of the records in the incremental data table is more than h, executing an incremental algorithm to dynamically correct the chronic gastroenteritis pathological neural network model;
thirteenth, after the relevant data information in the twelfth step is processed, alarming is carried out when blood or current pressure data and drainage rate in drainage liquid are inconsistent with a preset normal threshold value; and displaying the acquired physiology, pressure and image data, a preset adjusting mode, corresponding parameters and a prediction result through a display.
Further, in the third step, when the gastrointestinal imaging sequence is an MRI gastrointestinal imaging sequence, the method is performed according to the expression Imri＝Ms×NH×(1-e-TR/T1)×(e-TE/T2) Acquiring, wherein Ms is an imaging device amplification factor, NH is the H proton density of an object to be researched, T1 is longitudinal relaxation time, T2 is transverse relaxation time, TR is repetition time, and TE is echo time;
when an MRI gastrointestinal image device is used for acquiring T2 or T2 weighted gastrointestinal images, TE is taken for n times within a preset range, and an MRIT2/T2 weighted gastrointestinal image sequence which comprises n MRI gastrointestinal images with the same tissue structure is obtained.
Further, in step three, the average value of the gray values of the region of interest is taken, and a row vector R ═ { R ═ of the reference signal is constructed1，R2，...，Rn}。
Further, in step three, the calculating, point by point, a relative amplitude value and a residual information value of each n-dimensional signal in the gastrointestinal image sequence with respect to the reference signal includes:
(1) taking any point (i, j) on a gastrointestinal image from the MRI gastrointestinal image sequence, and constructing an n-dimensional row vector V describing the variation of pixels in the gastrointestinal image sequence along with the imaging parametersij＝{Vij1，Vij2，...，Vijn}。
(2) The similarity strength between the n-dimensional signal vector and the reference signal at all points is measured by a linear method, namely: vij＝λij×R+ξijWherein λ isijRepresenting a row vector VijSimilar strength, ξ, of the row vector R of the reference signalijRepresenting a row vector VijResidual information after similar comparison with the reference signal;
(3) minimizing the row vector VijAnd the mean square error MSE | | | | V between the reference signal and the reference signalij-λij×R-ξij||2；
(4) Obtaining a relative amplitude value lambdaijAnd residual information value xiij：
Figure BSA0000236597480000041
ξij＝sum(Vij)-λij×sum(R)
Where T represents the transpose of the vector and sum operator represents the summation.
The invention also aims to provide a gastrointestinal decompression device for clinical use in digestive system department, which comprises:
the physiological data acquisition module is connected with the central control module and is used for acquiring physiological data of the patient through the medical equipment;
the pressure acquisition module is connected with the central control module and is used for acquiring gastrointestinal pressure data of the patient through the pressure sensor;
the gastrointestinal image acquisition module is connected with the central control module and is used for acquiring gastrointestinal image data of the patient through medical imaging equipment;
the adjustment setting module is connected with the central control module, comprises a mode selection unit, a pressure adjustment unit and a drainage adjustment unit and is used for setting a pressure adjustment value and a drainage adjustment value;
the central control module is connected with the physiological data acquisition module, the pressure acquisition module, the gastrointestinal image acquisition module, the adjustment setting module, the image enhancement module, the decompression module, the drainage module, the metering module, the filtering module, the drainage liquid analysis module, the prediction module, the warning module and the display module and is used for controlling each module to normally work through the host;
the image enhancement module is connected with the central control module and is used for enhancing the collected gastrointestinal images through an image enhancement program;
the pressure reducing module is connected with the central control module and is used for reducing the pressure of the intestines and stomach through the negative pressure pump based on a set pressure adjusting mode and parameters;
the drainage module is connected with the central control module and is used for draining liquid and gas in the intestines and the stomach through the stomach tube based on a preset drainage mode and parameters;
the metering module is connected with the central control module and is used for metering the exhaust volume and the exhaust rate by using the gas metering instrument;
the filtering module is connected with the central control module and is used for absorbing and filtering peculiar smell in intestinal gastric juice or intestinal and gastric gas through the filter;
the drainage liquid analysis module is connected with the central control module and is used for identifying whether blood exists in the drainage liquid or not by utilizing the color identification sensor;
the prediction module is connected with the central control module and used for predicting gastrointestinal disorders through a prediction program;
and the warning module is connected with the central control module and is used for giving an alarm when blood or current pressure data and drainage rate in the drainage liquid are inconsistent with a preset normal threshold value.
Further, the gastrointestinal decompression device for clinical use in gastroenterology further comprises:
and the display module is connected with the central control module and used for displaying the acquired physiology, pressure and image data, a preset pressure drainage regulation mode, corresponding parameters, air displacement, warning information and a prediction result through a display.
Further, the adjustment setting module includes:
the mode selection unit is used for respectively selecting a pressure regulation mode and a drainage regulation mode;
the pressure adjusting unit is used for presetting or adjusting pressure parameters based on the selected pressure adjusting mode;
and the drainage adjusting unit is used for presetting or adjusting parameters of the drainage rate based on the selected drainage adjusting mode.
Further, the pressure regulation mode and the drainage regulation mode include:
the pressure adjusting mode comprises pressure stabilizing adjustment and variable pressure adjustment; the drainage regulation mode comprises fixed speed regulation and variable speed regulation.
It is another object of the present invention to provide a program storage medium for receiving a user input, the stored computer program causing an electronic device to execute the gastrointestinal decompression method for gastroenterology clinical use.
The invention also aims to provide a gastrointestinal decompression device for clinical digestive system department, which comprises:
the physiological data collector is connected with the central control chip and is used for collecting physiological data of the patient through the medical equipment;
the pressure collector is connected with the central control chip and is used for collecting gastrointestinal pressure data of the patient through the pressure sensor;
the gastrointestinal image collector is connected with the central control chip and is used for collecting gastrointestinal image data of the patient through medical imaging equipment;
the adjustment setter is connected with the central control chip, comprises a mode selection unit, a pressure adjustment unit and a drainage adjustment unit, and is used for setting a pressure adjustment value and a drainage adjustment value;
the central control chip is used for controlling each module to normally work through the host;
the image enhancement chip is connected with the central control chip and is used for enhancing the collected gastrointestinal images through an image enhancement program;
the pressure reducer is connected with the central control chip and used for reducing the pressure of the intestines and stomach through the negative pressure pump based on a set pressure adjusting mode and parameters;
the drainage device is connected with the central control chip and used for conducting drainage on liquid and gas in the intestines and the stomach through the stomach tube based on a preset drainage mode and parameters;
the meter is connected with the central control chip and is used for measuring the air displacement and the air displacement rate by using the air meter;
the filter is connected with the central control chip and is used for absorbing and filtering peculiar smell in intestinal gastric juice or gastrointestinal gas through the filter;
the drainage liquid analyzer is connected with the central control chip and is used for identifying whether blood exists in the drainage liquid or not by utilizing the color identification sensor;
the prediction chip is connected with the central control chip and used for predicting gastrointestinal diseases through a prediction program;
and the warning device is connected with the central control chip and used for giving an alarm when blood or current pressure data and drainage rate in the drainage liquid are inconsistent with a preset normal threshold value.
And the display is connected with the central control chip and used for displaying the acquired physiology, pressure and image data, a preset pressure drainage regulation mode, corresponding parameters, air displacement, warning information and a prediction result through the display.
The invention has the advantages and positive effects that: the invention can effectively and adaptively regulate pressure, not only can regulate the pressure stably to ensure the safety, but also can regulate the pressure in a variable way, is suitable for different patients and improves the practicability; meanwhile, the drainage rate can be effectively adjusted, the rate is adjusted based on the air displacement of the patient, the discomfort of the patient caused by over-high speed or over-low speed is avoided, and the comfort level of the patient is effectively improved; meanwhile, the invention can also acquire relevant drainage data to provide diagnosis basis for medical care personnel.
The invention can judge whether bleeding symptoms exist or not, thereby effectively ensuring the safety of patients, and can absorb peculiar smell, thereby avoiding the bad ward control quality caused by direct emission to the air.
According to the invention, the image definition of the intestines and stomach can be greatly enhanced through the image enhancement module, so that the intestines and stomach can be conveniently diagnosed and treated; meanwhile, a prediction module is used for training and predicting pathological data of a large number of hospital patients according to a neural network model, finding out details of the early life, clinical symptoms, detection standard values and high risk group characteristics of chronic gastroenteritis pathology and chronic gastroenteritis, and finally forming a chronic gastroenteritis pathological neural network model for accurately predicting chronic gastroenteritis illness probability; the accuracy rate is greatly improved by establishing the neural network model tailored to the user.
Drawings
Fig. 1 is a structural block diagram of a gastrointestinal decompression device for clinical use in digestive system department according to an embodiment of the invention.
In the figure: 1. a physiological data acquisition module; 2. a pressure acquisition module; 3. a gastrointestinal image acquisition module; 4. a regulation setting module; 5. a central control module; 6. an image enhancement module; 7. a pressure reduction module; 8. a drainage module; 9. a metering module; 10. a filtration module; 11. a drainage fluid analysis module; 12. a prediction module; 13. a warning module; 14. and a display module.
Fig. 2 is a schematic structural diagram of an adjustment setting module according to an embodiment of the present invention.
In the figure: 15. a mode selection unit; 16. a pressure adjusting unit; 17. a drainage regulating unit.
Fig. 3 is a flow chart of a gastrointestinal decompression method for clinical use in digestive system department according to an embodiment of the invention.
Fig. 4 is a flowchart of an image enhancement method according to an embodiment of the present invention.
Fig. 5 is a flowchart of a prediction method according to an embodiment of the present invention.
Detailed Description
In order to further understand the contents, features and effects of the present invention, the following embodiments are illustrated and described in detail with reference to the accompanying drawings.
The structure of the present invention will be described in detail below with reference to the accompanying drawings.
As shown in fig. 1, the gastrointestinal decompression device for clinical use in gastroenterology provided by the embodiment of the invention comprises:
the physiological data acquisition module 1 is connected with the central control module 5 and is used for acquiring physiological data of patients through medical equipment.
And the pressure acquisition module 2 is connected with the central control module 5 and is used for acquiring gastrointestinal pressure data of the patient through the pressure sensor.
And the gastrointestinal image acquisition module 3 is connected with the central control module 5 and is used for acquiring gastrointestinal image data of the patient through medical imaging equipment.
And the adjusting and setting module 4 is connected with the central control module 5, comprises a mode selection unit 15, a pressure adjusting unit 16 and a drainage adjusting unit 17, and is used for setting a pressure adjusting value and a drainage adjusting value.
The central control module 5 is connected with the physiological data acquisition module 1, the pressure acquisition module 2, the gastrointestinal image acquisition module 3, the adjustment setting module 4, the image enhancement module 6, the decompression module 7, the drainage module 8, the metering module 9, the filtering module 10, the drainage liquid analysis module 11, the prediction module 12, the warning module 13 and the display module 14, and is used for controlling the normal work of each module through a host.
And the image enhancement module 6 is connected with the central control module 5 and is used for enhancing the acquired gastrointestinal images through an image enhancement program.
And the pressure reducing module 7 is connected with the central control module 5 and is used for reducing the pressure of the intestines and stomach through the negative pressure pump based on the set pressure adjusting mode and parameters.
And the drainage module 8 is connected with the central control module 5 and used for draining liquid and gas in the intestines and the stomach through the stomach tube based on a preset drainage mode and parameters.
And the metering module 9 is connected with the central control module 5 and is used for metering the exhaust gas volume and the exhaust gas rate by using the gas meter.
And the filtering module 10 is connected with the central control module 5 and is used for absorbing and filtering peculiar smell in intestinal gastric juice or gastrointestinal gas through a filter.
And the drainage liquid analysis module 11 is connected with the central control module 5 and used for identifying whether blood exists in the drainage liquid or not by utilizing the color identification sensor.
And the prediction module 12 is connected with the central control module 5 and used for predicting the gastrointestinal disorder through a prediction program.
And the warning module 13 is connected with the central control module 5 and is used for giving an alarm when blood or current pressure data and drainage rate in the drainage liquid are inconsistent with a preset normal threshold value.
And the display module 14 is connected with the central control module 5 and used for displaying the acquired physiology, pressure and image data, a preset pressure drainage regulation mode, corresponding parameters, air displacement, warning information and a prediction result through a display.
The invention provides a gastrointestinal decompression device for clinical use in digestive system department, which comprises:
and the physiological data collector is connected with the central control chip and is used for collecting the physiological data of the patient through the medical equipment.
And the pressure collector is connected with the central control chip and is used for collecting gastrointestinal pressure data of the patient through the pressure sensor.
And the gastrointestinal image collector is connected with the central control chip and is used for collecting gastrointestinal image data of the patient through the medical imaging equipment.
And the adjusting setter is connected with the central control chip, comprises a mode selection unit, a pressure adjusting unit and a drainage adjusting unit and is used for setting a pressure adjusting value and a drainage adjusting value.
And the central control chip is used for controlling each module to normally work through the host.
And the image enhancement chip is connected with the central control chip and is used for enhancing the acquired gastrointestinal images through an image enhancement program.
And the pressure reducer is connected with the central control chip and used for reducing the pressure of the intestines and stomach through the negative pressure pump based on the set pressure adjusting mode and parameters.
And the drainage device is connected with the central control chip and used for draining liquid and gas in the intestines and the stomach through the stomach tube based on a preset drainage mode and parameters.
And the meter is connected with the central control chip and is used for measuring the air displacement and the air displacement rate by using the air meter.
And the filter is connected with the central control chip and is used for absorbing and filtering peculiar smell in intestinal gastric juice or gastrointestinal gas through the filter.
And the drainage liquid analyzer is connected with the central control chip and is used for identifying whether blood exists in the drainage liquid or not by utilizing the color identification sensor.
And the prediction chip is connected with the central control chip and is used for predicting gastrointestinal diseases through a prediction program.
And the warning device is connected with the central control chip and used for giving an alarm when blood or current pressure data and drainage rate in the drainage liquid are inconsistent with a preset normal threshold value.
And the display is connected with the central control chip and used for displaying the acquired physiology, pressure and image data, a preset pressure drainage regulation mode, corresponding parameters, air displacement, warning information and a prediction result through the display.
As shown in fig. 2, the adjustment setting module 4 according to the embodiment of the present invention includes:
and a mode selection unit 15 for selecting the pressure adjustment mode and the drainage adjustment mode, respectively.
And the pressure adjusting unit 16 is used for presetting or adjusting pressure parameters based on the selected pressure adjusting mode.
And the drainage adjusting unit 17 is used for presetting or adjusting parameters of the drainage rate based on the selected drainage adjusting mode.
The pressure regulation mode and the drainage regulation mode provided by the embodiment of the invention comprise the following steps:
the pressure adjusting mode comprises pressure stabilizing adjustment and variable pressure adjustment; the drainage regulation mode comprises fixed speed regulation and variable speed regulation.
As shown in fig. 3, the gastrointestinal decompression method for clinical use in digestive system department provided by the embodiment of the invention comprises the following steps:
s101, acquiring physiological data of a patient through medical equipment; acquiring gastrointestinal pressure data of a patient through a pressure sensor; the gastrointestinal image data of the patient is collected through the medical imaging equipment.
S102, respectively selecting a pressure adjusting mode and a drainage adjusting mode; and presetting or adjusting pressure and drainage parameters respectively based on the selected pressure adjusting mode and the selected drainage adjusting mode.
S103, enhancing the collected gastrointestinal images through an image enhancement program; decompressing the intestines and stomach through a negative pressure pump based on the set pressure adjusting mode and parameters; and draining the liquid and the gas in the intestines and the stomach through the stomach tube based on a preset drainage mode and parameters.
S104, measuring the exhaust volume and the exhaust rate by using a gas meter; absorbing and filtering the peculiar smell in the intestinal gastric juice or the gastrointestinal gas through a filter; and identifying whether blood exists in the drainage fluid by using a color identification sensor.
S105, predicting the gastrointestinal disorders through a prediction program; alarming when blood or current pressure data and drainage rate in drainage liquid are inconsistent with a preset normal threshold value; and displaying the acquired physiology, pressure and image data, a preset adjusting mode, corresponding parameters and a prediction result through a display.
Step S102 provided in the embodiment of the present invention specifically includes:
firstly, selecting a pressure regulation mode to be pressure stabilization regulation or variable pressure regulation; the selected drainage adjustment mode comprises fixed rate adjustment or variable speed adjustment.
Secondly, the first step is to carry out the first,
when pressure stabilizing adjustment is selected, a constant pressure value is preset, and when the obtained gastrointestinal pressure data is different from the preset pressure value, the gastrointestinal pressure is adjusted to the preset constant pressure value by using the negative pressure pump.
When variable pressure adjustment is selected, then pressure adjustment may be performed in real time using the adjustment buttons based on the patient state.
When the drainage regulation mode is selected to be a fixed rate, a constant drainage rate is preset, and the drainage rate is kept consistent with the preset rate through the flow regulating valve.
When the drainage rate is selected to be variable speed adjustment, the flow control valve can be used for real-time rate adjustment according to the exhaust volume of the patient.
The technical solution of the present invention is further illustrated by the following specific examples.
Example 1
Fig. 3 shows a gastrointestinal decompression method for clinical use in gastroenterology according to an embodiment of the present invention, and as a preferred embodiment, fig. 4 shows an image enhancement method according to an embodiment of the present invention as follows:
s201, acquiring a gastrointestinal image sequence related to an imaging parameter in a mode of adjusting the imaging parameter through an image enhancement program, wherein the gastrointestinal image sequence comprises n gastrointestinal images.
S202, manually drawing an interested region from the gastrointestinal image sequence, and calculating the average value of pixel values of the interested region to form an n-dimensional reference signal.
S203, calculating the relative amplitude value and the residual information value of each n-dimensional signal in the gastrointestinal image sequence relative to the reference signal point by point.
S204, the relative amplitude values of all the points form a relative amplitude map together, and the residual information values of all the points form a residual information map together.
When the gastrointestinal image sequence provided by the embodiment of the invention is an MRI gastrointestinal image sequence, the gastrointestinal image sequence is expressed according to an expression Imri＝Ms×NH×(1-e-TR/T1)×(e-TE/T2) Acquisition is carried out, wherein Ms is the imaging device amplification factor, NH is the H proton density of the object to be investigated, T1 is the longitudinal relaxation time, T2 is the transverse relaxation time, TR is the repetition time, and TE is the echo time.
When an MRI gastrointestinal image device is used for acquiring T2 or T2 weighted gastrointestinal images, TE is taken for n times within a preset range, and an MRIT2/T2 weighted gastrointestinal image sequence which comprises n MRI gastrointestinal images with the same tissue structure is obtained.
In step (2), the average value of the gray values of the region of interest is obtained, and the row vector R ═ { R ═ of the reference signal is constructed1，R2，...，Rn}；
In step (3), the step of calculating the relative amplitude value and the residual information value of each n-dimensional signal in the gastrointestinal image sequence with respect to the reference signal point by point according to the embodiment of the present invention includes the following steps:
firstly, taking any point (i, j) on a gastrointestinal image from the MRI gastrointestinal image sequence, and constructing an n-dimensional row vector V describing the variation of pixels in the gastrointestinal image sequence along with the imaging parametersij＝{Vij1，Vij2，...，Vijn}。
Secondly, a linear method is adopted to measure the similarity strength between the n-dimensional signal vector of all the points and the reference signal, namely: vij＝λij×R+ξijWherein λ isijRepresenting a row vector VijSimilar strength, ξ, of the row vector R of the reference signalijRepresenting a row vector VijResidual information after similar comparison with the reference signal.
Then, minimizing the row vector VijAnd the mean square error MSE | | | | V between the reference signal and the reference signalij-λij×R-ξij||2。
Finally, a relative amplitude value λ is obtainedijAnd residual information value xiij：
Figure BSA0000236597480000131
ξij＝sum(Vij)-λij×sum(R)
Where T represents the transpose of the vector and sum operator represents the summation.
Example 2:
fig. 3 shows a gastrointestinal decompression method for clinical use in gastroenterology according to an embodiment of the present invention, and as a preferred embodiment, fig. 5 shows a prediction method according to an embodiment of the present invention as follows:
s301, acquiring a pathological data source of the chronic gastroenteritis disease cause and patient daily monitoring data of the hospital through a prediction program, and establishing a chronic gastroenteritis daily constant database.
And S302, training the neural network model in an off-line mode according to the daily constant data base of the chronic gastroenteritis established in the step S301 to obtain the trained pathological neural network model of the chronic gastroenteritis.
And S303, acquiring the daily life data of the user through the intelligent monitoring equipment, sending the acquired daily life data to a server, and storing the daily life data of the user into a user daily data recording table by the server.
S304, extracting the day data from the daily data record table of the user to form an n-dimensional vector, performing normalization processing on the n-dimensional vector, inputting the normalized n-dimensional vector into the chronic gastroenteritis pathological neural network model trained in the step S302 to predict the chronic gastroenteritis probability, and transmitting the chronic gastroenteritis probability to intelligent household chronic gastroenteritis nursing equipment by the server.
S305, after receiving the chronic gastroenteritis probability transmitted by the server, the intelligent household chronic gastroenteritis nursing equipment judges whether the chronic gastroenteritis probability value is greater than 0.5, if so, the intelligent household chronic gastroenteritis nursing equipment judges that the user has chronic gastroenteritis, and if not, the intelligent household chronic gastroenteritis nursing equipment warns to remind the user, and if not, the intelligent household chronic gastroenteritis nursing equipment judges that the user does not have chronic gastroenteritis.
S306, when the user judges that the chronic gastroenteritis is obtained, the user goes to a hospital to check by himself, the check result is transmitted back to the server through intelligent household chronic gastroenteritis nursing equipment, the server judges whether the check result is correct or not, if the check result is wrong, the prediction of the chronic gastroenteritis pathological neural network model is not accurate, and if the check result is correct, the prediction of the chronic gastroenteritis pathological neural network model is accurate.
S307, when the checking result is wrong, extracting the records in m days from the daily data record table of the user and storing the records in the incremental data table, and when the number of the records in the incremental data table is more than h, executing an incremental algorithm to dynamically correct the chronic gastroenteritis pathological neural network model.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When used in whole or in part, can be implemented in a computer program product that includes one or more computer instructions. When loaded or executed on a computer, cause the flow or functions according to embodiments of the invention to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, the computer instructions may be transmitted from one website site, computer, server, or data center to another website site, computer, server, or data center via wire (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL), or wireless (e.g., infrared, wireless, microwave, etc.)). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that includes one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
The above description is only for the preferred embodiment of the present invention, and is not intended to limit the present invention in any way, and all simple modifications, equivalent changes and modifications made to the above embodiment according to the technical spirit of the present invention are within the scope of the technical solution of the present invention.

Claims (10)

1. A gastrointestinal decompression method for clinical use in the department of gastroenterology is characterized by comprising the following steps:
acquiring physiological data of a patient through medical equipment; acquiring gastrointestinal pressure data of a patient through a pressure sensor; acquiring gastrointestinal image data of a patient through medical imaging equipment;
step two, after the relevant data is collected in the step one, selecting a pressure adjusting mode, wherein the selected pressure adjusting mode is pressure stabilizing adjustment or pressure changing adjustment; selecting a drainage regulation mode comprising fixed rate regulation or variable speed regulation;
when pressure stabilizing adjustment is selected, a constant pressure value is preset, and when the obtained gastrointestinal pressure data is different from the preset pressure value, the gastrointestinal pressure is adjusted to the preset constant pressure value by using a negative pressure pump;
when variable pressure adjustment is selected, pressure adjustment can be performed in real time by using the adjusting button based on the state of the patient;
when the drainage regulation mode is selected as the fixed rate, presetting the constant drainage rate, and keeping the drainage rate consistent with the preset rate through the flow regulating valve;
when the drainage rate is selected as variable speed regulation, the flow regulating valve can be used for real-time rate regulation according to the exhaust volume of the patient;
step three, after the pressure adjusting mode is selected in the step two, the acquired gastrointestinal images are enhanced through an image enhancement program, a gastrointestinal image sequence related to an imaging parameter is acquired in a mode of adjusting the imaging parameter through the image enhancement program, and the gastrointestinal image sequence comprises n gastrointestinal images;
manually drawing an interested region from the gastrointestinal image sequence, and calculating the average value of pixel values of the interested region to form an n-dimensional reference signal;
calculating the relative amplitude value and the residual information value of each n-dimensional signal in the gastrointestinal image sequence relative to the reference signal point by point;
the relative amplitude values of all points together form a relative amplitude map and the residual information values of all points together form a residual information map.
Step four, decompressing the intestines and stomach by a negative pressure pump based on the pressure adjusting mode and the parameters set in the step two; draining liquid and gas in the intestines and the stomach through the stomach tube based on a preset drainage mode and parameters;
step five, when the liquid and the gas in the intestines and stomach are drained in the step four, the gas displacement and the gas displacement rate are measured by using a gas measuring instrument; absorbing and filtering the peculiar smell in the intestinal gastric juice or the gastrointestinal gas through a filter; identifying whether blood exists in the drainage fluid by using a color identification sensor;
step six, after relevant information measurement and identification are carried out in the step five, a pathological data source and daily monitoring data of the chronic gastroenteritis disease cause are obtained through a prediction program, a chronic gastroenteritis daily constant data database is established, and comparison is carried out;
step seven, training the neural network model in an off-line mode according to the daily data database of the chronic gastroenteritis established in the step six to obtain a trained pathological neural network model of the chronic gastroenteritis;
step eight, acquiring daily life data through the intelligent monitoring equipment, sending the acquired daily life data to the server, and storing the daily life data into a daily life data recording table by the server;
step nine, extracting the data of the day from the daily data record table to form an n-dimensional vector, performing normalization processing on the n-dimensional vector, inputting the normalized n-dimensional vector into the chronic gastroenteritis pathological neural network model trained in the step seven to predict the chronic gastroenteritis probability, and transmitting the chronic gastroenteritis probability to intelligent household chronic gastroenteritis nursing equipment by the server;
step ten, after receiving the chronic gastroenteritis probability transmitted by the server, the intelligent home chronic gastroenteritis nursing equipment judges whether the chronic gastroenteritis probability value is greater than 0.5, if so, judges that the chronic gastroenteritis is obtained, and warns the intelligent home chronic gastroenteritis nursing equipment to remind the intelligent home chronic gastroenteritis nursing equipment, and if not, judges that the chronic gastroenteritis is not obtained;
step eleven, when the chronic gastroenteritis needs to be checked, the checking result is transmitted back to the server through intelligent household chronic gastroenteritis nursing equipment, the server judges whether the checking result is correct or not, if the checking result is wrong, the prediction of the chronic gastroenteritis pathological neural network model is inaccurate, and if the checking result is correct, the prediction of the chronic gastroenteritis pathological neural network model is accurate;
step twelve, when the checking result is wrong, extracting records within m days from the daily data record table and storing the records into an incremental data table, and when the number of the records in the incremental data table is more than h, executing an incremental algorithm to dynamically correct the chronic gastroenteritis pathological neural network model;
thirteenth, after the relevant data information in the twelfth step is processed, alarming is carried out when blood or current pressure data and drainage rate in drainage liquid are inconsistent with a preset normal threshold value; and displaying the acquired physiology, pressure and image data, a preset adjusting mode, corresponding parameters and a prediction result through a display.
2. The gastrointestinal decompression method for clinical use in gastroenterology according to claim 1, wherein in step three, when the gastrointestinal image sequence is an MRI gastrointestinal image sequence, the gastrointestinal decompression method is according to expression Imri＝Ms×NH×(1-e-TR/T1)×(e-TE/T2) Acquiring, wherein Ms is an imaging device amplification factor, NH is the H proton density of an object to be researched, T1 is longitudinal relaxation time, T2 is transverse relaxation time, TR is repetition time, and TE is echo time;
when an MRI gastrointestinal image device is used for acquiring T2 or T2 weighted gastrointestinal images, TE is taken for n times within a preset range, and an MRIT2/T2 weighted gastrointestinal image sequence which comprises n MRI gastrointestinal images with the same tissue structure is obtained.
3. The clinical gastrointestinal decompression method for gastroenterology in gastroenterology according to claim 1, wherein in step three, the gray value of the region of interest is averaged, and a row vector R ═ { R > of the reference signal is constructed1，R2，...，Rn}。
4. The gastrointestinal decompression method for clinical use in gastroenterology according to claim 1, wherein in step three, the calculating the relative amplitude value and the residual information value of each n-dimensional signal in the gastrointestinal image sequence with respect to the reference signal point by point comprises:
(1) taking any point (i, j) on a gastrointestinal image from the MRI gastrointestinal image sequence, and constructing an n-dimensional description of pixels in the gastrointestinal image sequence along with the gastrointestinal image sequenceLine vector V of imaging parameter variationij＝{Vij1，Vij2，...，Vijn}。
(2) The similarity strength between the n-dimensional signal vector and the reference signal at all points is measured by a linear method, namely: vij＝λij×R+ξijWherein λ isijRepresenting a row vector VijSimilar strength, ξ, of the row vector R of the reference signalijRepresenting a row vector VijResidual information after similar comparison with the reference signal;
(3) minimizing the row vector VijAnd the mean square error MSE | | | | V between the reference signal and the reference signalij-λij×R-ξij||2；
(4) Obtaining a relative amplitude value lambdaijAnd residual information value xiij：
Figure FSA0000236597470000041
ξij＝sum(Vij)-λij×sum(R)
Where T represents the transpose of the vector and sum operator represents the summation.
5. A clinical gastrointestinal decompression system for department of gastroenterology, comprising:
the physiological data acquisition module is connected with the central control module and is used for acquiring physiological data of the patient through the medical equipment;
the pressure acquisition module is connected with the central control module and is used for acquiring gastrointestinal pressure data of the patient through the pressure sensor;
the gastrointestinal image acquisition module is connected with the central control module and is used for acquiring gastrointestinal image data of the patient through medical imaging equipment;
the adjustment setting module is connected with the central control module, comprises a mode selection unit, a pressure adjustment unit and a drainage adjustment unit and is used for setting a pressure adjustment value and a drainage adjustment value;
the central control module is connected with the physiological data acquisition module, the pressure acquisition module, the gastrointestinal image acquisition module, the adjustment setting module, the image enhancement module, the decompression module, the drainage module, the metering module, the filtering module, the drainage liquid analysis module, the prediction module, the warning module and the display module and is used for controlling each module to normally work through the host;
the image enhancement module is connected with the central control module and is used for enhancing the collected gastrointestinal images through an image enhancement program;
the pressure reducing module is connected with the central control module and is used for reducing the pressure of the intestines and stomach through the negative pressure pump based on a set pressure adjusting mode and parameters;
the drainage module is connected with the central control module and is used for draining liquid and gas in the intestines and the stomach through the stomach tube based on a preset drainage mode and parameters;
the metering module is connected with the central control module and is used for metering the exhaust volume and the exhaust rate by using the gas metering instrument;
the filtering module is connected with the central control module and is used for absorbing and filtering peculiar smell in intestinal gastric juice or intestinal and gastric gas through the filter;
the drainage liquid analysis module is connected with the central control module and is used for identifying whether blood exists in the drainage liquid or not by utilizing the color identification sensor;
the prediction module is connected with the central control module and used for predicting gastrointestinal disorders through a prediction program;
and the warning module is connected with the central control module and is used for giving an alarm when blood or current pressure data and drainage rate in the drainage liquid are inconsistent with a preset normal threshold value.
6. The gastrointestinal decompression system for clinical use in gastroenterology according to claim 5, wherein the gastrointestinal decompression device for clinical use in gastroenterology further comprises:
and the display module is connected with the central control module and used for displaying the acquired physiology, pressure and image data, a preset pressure drainage regulation mode, corresponding parameters, air displacement, warning information and a prediction result through a display.
7. The gastroenterological clinical decompression system of claim 5, wherein the adjustment setting module comprises:
the mode selection unit is used for respectively selecting a pressure regulation mode and a drainage regulation mode;
the pressure adjusting unit is used for presetting or adjusting pressure parameters based on the selected pressure adjusting mode;
and the drainage adjusting unit is used for presetting or adjusting parameters of the drainage rate based on the selected drainage adjusting mode.
8. The gastrointestinal decompression system for clinical gastroenterology in gastroenterology according to claim 7, wherein the pressure adjustment mode and the drainage adjustment mode comprise:
the pressure adjusting mode comprises pressure stabilizing adjustment and variable pressure adjustment; the drainage regulation mode comprises fixed speed regulation and variable speed regulation.
9. A program storage medium for receiving a user input, the stored computer program causing an electronic device to execute the gastrointestinal decompression method for gastroenterology clinical use according to any one of claims 1 to 4.
10. A clinical gastrointestinal decompression device for gastroenterology, which executes the method for clinical gastrointestinal decompression for gastroenterology according to any one of claims 1 to 4, wherein the device for clinical gastrointestinal decompression for gastroenterology comprises:
the physiological data collector is connected with the central control chip and is used for collecting physiological data of the patient through the medical equipment;
the pressure collector is connected with the central control chip and is used for collecting gastrointestinal pressure data of the patient through the pressure sensor;
the gastrointestinal image collector is connected with the central control chip and is used for collecting gastrointestinal image data of the patient through medical imaging equipment;
the adjustment setter is connected with the central control chip, comprises a mode selection unit, a pressure adjustment unit and a drainage adjustment unit, and is used for setting a pressure adjustment value and a drainage adjustment value;
the central control chip is used for controlling each module to normally work through the host;
the image enhancement chip is connected with the central control chip and is used for enhancing the collected gastrointestinal images through an image enhancement program;
the pressure reducer is connected with the central control chip and used for reducing the pressure of the intestines and stomach through the negative pressure pump based on a set pressure adjusting mode and parameters;
the drainage device is connected with the central control chip and used for conducting drainage on liquid and gas in the intestines and the stomach through the stomach tube based on a preset drainage mode and parameters;
the meter is connected with the central control chip and is used for measuring the air displacement and the air displacement rate by using the air meter;
the filter is connected with the central control chip and is used for absorbing and filtering peculiar smell in intestinal gastric juice or gastrointestinal gas through the filter;
the drainage liquid analyzer is connected with the central control chip and is used for identifying whether blood exists in the drainage liquid or not by utilizing the color identification sensor;
the prediction chip is connected with the central control chip and used for predicting gastrointestinal diseases through a prediction program;
and the warning device is connected with the central control chip and used for giving an alarm when blood or current pressure data and drainage rate in the drainage liquid are inconsistent with a preset normal threshold value.
And the display is connected with the central control chip and used for displaying the acquired physiology, pressure and image data, a preset pressure drainage regulation mode, corresponding parameters, air displacement, warning information and a prediction result through the display.
CN202110293738.1A 2021-03-12 2021-03-12 Gastrointestinal decompression device, decompression system and decompression method for clinical use in digestive system department Pending CN113144300A (en)

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