CN111839439A - Pylorus state detection system using signal analysis - Google Patents
Pylorus state detection system using signal analysis Download PDFInfo
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Abstract
The invention relates to a pylorus state detection system applying signal analysis, which comprises: a content extraction mechanism for calculating the physical area of the pyloric target based on the received shooting focal length, the entire depth of field and the number of reference pixels; the radius identification device is connected with the content extraction mechanism and used for calculating the radial radius of the pyloric target based on the appearance of the area to be analyzed corresponding to the pyloric target and the entity area of the pyloric target; and the abnormity detection mechanism is connected with the radius identification device and is used for sending out a pylorus abnormity instruction when the absolute value of the difference value between the maximum radial radius and the standard pylorus radius exceeds the limit. The pylorus state detection system applying signal analysis is simple to operate and wide in application. Because can adopt the pertinence recognition mode to carry out the identification operation to patient's pylorus radius according to current patient's pylorus outline shape and current patient's pylorus entity area, and then can judge whether current patient's pylorus is in sick state.
Description
Technical Field
The invention relates to the field of gastroscope application, in particular to a pylorus state detection system applying signal analysis.
Background
Gastroscopes are a method of medical examination and also refer to instruments used in such examinations. It is inserted into the stomach by means of a thin and flexible tube, and the doctor can directly observe the pathological changes of esophagus, stomach and duodenum, especially for tiny pathological changes. The gastroscopy can directly observe the real condition of the detected part, and can further carry out pathological biopsy and cytology detection on the suspicious lesion part to further clearly diagnose, thereby being the preferred detection method for the upper digestive tract lesion.
The earliest gastroscope was the cusmor tube invented by cusmor in germany in 1868 by means of swallowing a sword in rivers and lakes, which was actually a long metal tube with a mirror at the end. But is discarded soon because it easily tears the patient's esophagus. In 1950, the japanese doctor yuzhidalng succeeded in inventing the prototype of the soft gastroscope, i.e. the intragastric camera. The most advanced gastroscope in clinic at present is a capsule endoscope.
The current gastroscope treatment mechanism can not adopt a targeted identification mode to identify the radius of the pylorus of the patient according to the shape of the pylorus of the patient and the physical area of the pylorus of the patient, and further can not judge the current state of the pylorus of the patient.
Disclosure of Invention
The invention has at least the following two key inventions:
(1) setting a standard pyloric radius with a value between 0.7 cm and 0.8 cm, and performing numerical analysis on an absolute value of a difference value between the currently detected pyloric radius of the patient and the standard pyloric radius to judge whether the pyloric radius of the patient is too large or too small;
(2) and performing identification operation on the pylorus radius of the patient by adopting a targeted identification mode according to the shape of the pylorus outline of the current patient and the entity area of the pylorus of the current patient.
According to an aspect of the present invention, there is provided a pyloric status detection system applying signal analysis, the system including:
the data sharpening mechanism is used for receiving an image in front of a gastroscope and carrying out image data sharpening processing based on a Kirsch operator on the image in front of the gastroscope so as to obtain a field sharpened image;
the characteristic analysis device is connected with the data sharpening mechanism and used for identifying an imaging area matched with the imaging characteristic of the pylorus from the field sharpened image based on the imaging characteristic of the pylorus to be output as an area to be analyzed;
the first acquisition mechanism is connected with the imaging mechanism for acquiring the image in front of the gastroscope so as to acquire the shooting focal length of the imaging mechanism when the imaging mechanism acquires the image in front of the gastroscope;
the second acquisition mechanism is connected with the characteristic analysis equipment and used for extracting the whole depth of field of the pyloric target corresponding to the area to be analyzed based on the depth of field of each pixel point in the area to be analyzed;
the third acquisition mechanism is connected with the characteristic analysis equipment and used for accumulating the number of pixels forming the area to be analyzed to serve as the number of reference pixels to be output;
the content extraction mechanism is respectively connected with the first acquisition mechanism, the second acquisition mechanism and the third acquisition mechanism and is used for calculating the entity area of the pyloric target based on the received shooting focal length, the whole depth of field and the number of reference pixels;
the radius identification device is connected with the content extraction mechanism and used for calculating the radial radius of the pyloric target based on the appearance of the area to be analyzed corresponding to the pyloric target and the entity area of the pyloric target;
the abnormality detection mechanism is connected with the radius identification device and is used for sending a pylorus abnormality instruction when the absolute value of the difference value between the maximum radial radius and the standard pylorus radius exceeds the limit;
wherein calculating a radial radius of the pyloric target based on an outline of the region to be analyzed corresponding to the pyloric target and a physical area of the pyloric target comprises: when the shape of a region to be analyzed corresponding to the pyloric target is in an elliptical shape, calculating an entity major semi-axis and an entity minor semi-axis of the elliptical shape by taking the entity area of the pyloric target as the elliptical shape area, and averaging the entity major semi-axis and the entity minor semi-axis to obtain the radial radius of the pyloric target;
wherein calculating a radial radius of the pyloric target based on an outline of the region to be analyzed corresponding to the pyloric target and a physical area of the pyloric target comprises: when the shape of the area to be analyzed corresponding to the pylorus target is circular, directly taking the solid area of the pylorus target as the circular area to calculate the radius of the circle as the radial radius of the pylorus target;
wherein, in the abnormality detection mechanism, the standard pylorus radius value is between 0.7 cm and 0.8 cm.
The pylorus state detection system applying signal analysis is simple to operate and wide in application. Because can adopt the pertinence recognition mode to carry out the identification operation to patient's pylorus radius according to current patient's pylorus outline shape and current patient's pylorus entity area, and then can judge whether current patient's pylorus is in sick state.
Drawings
Embodiments of the invention will now be described with reference to the accompanying drawings, in which:
fig. 1 is a schematic view illustrating a structure of a pylorus to which a pylorus status detection system applying signal analysis according to an embodiment of the present invention is applied.
Detailed Description
An embodiment of a pyloric condition detection system to which signal analysis is applied according to the present invention will be described in detail with reference to the accompanying drawings.
Gastroscopy is a slender tube with a black plastic coated with light-conducting fiber, and the front end of the slender tube is provided with an endoscope which is inserted into the esophagus → stomach → duodenum of the examined person from the mouth. If necessary, the clip can be inserted into the small hole on the gastroscope for slice examination. The whole examination time is about 10 minutes, and if the section examination is carried out, the whole examination time needs 20 to 30 minutes.
In general gastroscopy, a doctor holds the front end of the gastroscope by the right hand and slowly puts the gastroscope into the oral cavity to the root of the tongue, and nausea is caused. When nausea is obvious or swallows, the upper mouth of the esophagus is opened, and a doctor inserts the gastroscope into the esophagus along the opening at the opening moment. When some people are not well matched, the reason is that the doctor often orders to do swallowing action.
A gastroscope treatment mechanism in the prior art cannot perform identification operation on the radius of the pylorus of a patient according to the shape of the pylorus of the patient and the entity area of the pylorus of the patient in a targeted identification mode, and further cannot judge the current state of the pylorus of the patient.
In order to overcome the defects, the pylorus state detection system based on signal analysis is built, and the corresponding technical problem can be effectively solved.
Fig. 1 is a schematic view illustrating a structure of a pylorus to which a pylorus status detection system applying signal analysis according to an embodiment of the present invention is applied, the system including:
the data sharpening mechanism is used for receiving an image in front of a gastroscope and carrying out image data sharpening processing based on a Kirsch operator on the image in front of the gastroscope so as to obtain a field sharpened image;
the characteristic analysis device is connected with the data sharpening mechanism and used for identifying an imaging area matched with the imaging characteristic of the pylorus from the field sharpened image based on the imaging characteristic of the pylorus to be output as an area to be analyzed;
the first acquisition mechanism is connected with the imaging mechanism for acquiring the image in front of the gastroscope so as to acquire the shooting focal length of the imaging mechanism when the imaging mechanism acquires the image in front of the gastroscope;
the second acquisition mechanism is connected with the characteristic analysis equipment and used for extracting the whole depth of field of the pyloric target corresponding to the area to be analyzed based on the depth of field of each pixel point in the area to be analyzed;
the third acquisition mechanism is connected with the characteristic analysis equipment and used for accumulating the number of pixels forming the area to be analyzed to serve as the number of reference pixels to be output;
the content extraction mechanism is respectively connected with the first acquisition mechanism, the second acquisition mechanism and the third acquisition mechanism and is used for calculating the entity area of the pyloric target based on the received shooting focal length, the whole depth of field and the number of reference pixels;
the radius identification device is connected with the content extraction mechanism and used for calculating the radial radius of the pyloric target based on the appearance of the area to be analyzed corresponding to the pyloric target and the entity area of the pyloric target;
the abnormality detection mechanism is connected with the radius identification device and is used for sending a pylorus abnormality instruction when the absolute value of the difference value between the maximum radial radius and the standard pylorus radius exceeds the limit;
wherein calculating a radial radius of the pyloric target based on an outline of the region to be analyzed corresponding to the pyloric target and a physical area of the pyloric target comprises: when the shape of a region to be analyzed corresponding to the pyloric target is in an elliptical shape, calculating an entity major semi-axis and an entity minor semi-axis of the elliptical shape by taking the entity area of the pyloric target as the elliptical shape area, and averaging the entity major semi-axis and the entity minor semi-axis to obtain the radial radius of the pyloric target;
wherein calculating a radial radius of the pyloric target based on an outline of the region to be analyzed corresponding to the pyloric target and a physical area of the pyloric target comprises: when the shape of the area to be analyzed corresponding to the pylorus target is circular, directly taking the solid area of the pylorus target as the circular area to calculate the radius of the circle as the radial radius of the pylorus target;
wherein, in the abnormality detection mechanism, the standard pylorus radius value is between 0.7 cm and 0.8 cm.
Next, a specific configuration of the pyloric condition detection system to which signal analysis is applied according to the present invention will be further described.
In the pylorus state detection system using signal analysis, the pylorus state detection system further includes:
the abnormality detection mechanism is further configured to issue a pylorus normal instruction when an absolute value of a difference between the maximum radial radius and the standard pylorus radius is not exceeded.
In the pyloric state detection system applying signal analysis:
extracting the overall depth of field of the pyloric target corresponding to the region to be analyzed based on the depth of field of each pixel point in the region to be analyzed comprises: and taking the depth of field with the most frequent occurrence frequency in the depth of field of each pixel point in the region to be analyzed as the whole depth of field of the pyloric target.
In the pyloric state detection system applying signal analysis:
in the feature analysis apparatus, the imaging feature of the pylorus includes a color imaging feature of the pylorus and a contour imaging feature of the pylorus.
In the pyloric state detection system applying signal analysis:
identifying an imaging region from the live sharpened image that matches the imaging features of the pylorus for output as a region to be analyzed based on the imaging features of the pylorus includes: and outputting an imaging region which is matched with the color imaging feature of the pylorus and the contour imaging feature of the pylorus in the field sharpened image as a region to be analyzed.
In the pylorus state detection system using signal analysis, the pylorus state detection system further includes:
the optical fiber communication equipment is respectively connected with the radius identification equipment and the abnormality detection mechanism;
the optical fiber communication equipment is used for receiving and reporting various fault codes of the radius identification equipment or the abnormality detection mechanism.
In the pyloric state detection system applying signal analysis:
the radius identification equipment is internally provided with a first fault self-checking unit used for carrying out self-checking and sending fault codes on internal faults of the radius identification equipment.
In the pyloric state detection system applying signal analysis:
and a second fault self-checking unit is arranged in the abnormality detection mechanism and is used for carrying out self-checking on the internal fault of the abnormality detection mechanism and sending a fault code.
In the pyloric state detection system applying signal analysis:
the first fault self-checking unit and the second fault self-checking unit are respectively realized by editable logic devices with different models.
In the pyloric state detection system applying signal analysis:
the radius identification equipment is also internally provided with a first electric quantity measuring unit which is used for measuring the current residual electric quantity of the radius identification equipment;
the abnormality detection mechanism is further internally provided with a second electric quantity measurement unit for measuring the current remaining electric quantity of the abnormality detection mechanism.
In addition, the optical fiber is a short term for optical fiber, and is a fiber made of glass or plastic, which can be used as a light transmission means. The principle of transmission is 'total reflection of light'. The fine optical fiber is enclosed in a plastic sheath so that it can be bent without breaking. Generally, a Light Emitting Diode (LED) or a laser beam is used as a transmitter at one end of the optical fiber to transmit an optical pulse to the optical fiber, and a photosensor is used as a receiver at the other end of the optical fiber to detect the pulse.
In the multimode optical fiber, the core diameter is 50 μm and 62.5 μm, which are approximately equivalent to the thickness of human hair. Whereas the diameter of the single-mode optical fiber core is 8 μm to 10 μm, 9/125 μm is generally used. The core is surrounded by a glass envelope, commonly referred to as a cladding, of lower refractive index than the core, which keeps the light rays within the core. Further on the outside is a thin plastic outer jacket, i.e. a coating, for protecting the cladding. The optical fibers are typically bundled and protected by an outer jacket. The core is usually a double-walled concentric cylinder of silica glass with a small cross-sectional area, which is brittle and easily broken, and therefore requires the addition of a protective layer.
It is to be understood that while the present invention has been described in conjunction with the preferred embodiments thereof, it is not intended to limit the invention to those embodiments. It will be apparent to those skilled in the art from this disclosure that many changes and modifications can be made, or equivalents modified, in the embodiments of the invention without departing from the scope of the invention. Therefore, any simple modification, equivalent change and modification made to the above embodiments according to the technical essence of the present invention are still within the scope of the protection of the technical solution of the present invention, unless the contents of the technical solution of the present invention are departed.
Claims (10)
1. A pyloric condition detection system employing signal interpretation, comprising:
the data sharpening mechanism is used for receiving an image in front of a gastroscope and carrying out image data sharpening processing based on a Kirsch operator on the image in front of the gastroscope so as to obtain a field sharpened image;
the characteristic analysis device is connected with the data sharpening mechanism and used for identifying an imaging area matched with the imaging characteristic of the pylorus from the field sharpened image based on the imaging characteristic of the pylorus to be output as an area to be analyzed;
the first acquisition mechanism is connected with the imaging mechanism for acquiring the image in front of the gastroscope so as to acquire the shooting focal length of the imaging mechanism when the imaging mechanism acquires the image in front of the gastroscope;
the second acquisition mechanism is connected with the characteristic analysis equipment and used for extracting the whole depth of field of the pyloric target corresponding to the area to be analyzed based on the depth of field of each pixel point in the area to be analyzed;
the third acquisition mechanism is connected with the characteristic analysis equipment and used for accumulating the number of pixels forming the area to be analyzed to serve as the number of reference pixels to be output;
the content extraction mechanism is respectively connected with the first acquisition mechanism, the second acquisition mechanism and the third acquisition mechanism and is used for calculating the entity area of the pyloric target based on the received shooting focal length, the whole depth of field and the number of reference pixels;
the radius identification device is connected with the content extraction mechanism and used for calculating the radial radius of the pyloric target based on the appearance of the area to be analyzed corresponding to the pyloric target and the entity area of the pyloric target;
the abnormality detection mechanism is connected with the radius identification device and is used for sending a pylorus abnormality instruction when the absolute value of the difference value between the maximum radial radius and the standard pylorus radius exceeds the limit;
wherein calculating a radial radius of the pyloric target based on an outline of the region to be analyzed corresponding to the pyloric target and a physical area of the pyloric target comprises: when the shape of a region to be analyzed corresponding to the pyloric target is in an elliptical shape, calculating an entity major semi-axis and an entity minor semi-axis of the elliptical shape by taking the entity area of the pyloric target as the elliptical shape area, and averaging the entity major semi-axis and the entity minor semi-axis to obtain the radial radius of the pyloric target;
wherein calculating a radial radius of the pyloric target based on an outline of the region to be analyzed corresponding to the pyloric target and a physical area of the pyloric target comprises: when the shape of the area to be analyzed corresponding to the pylorus target is circular, directly taking the solid area of the pylorus target as the circular area to calculate the radius of the circle as the radial radius of the pylorus target;
wherein, in the abnormality detection mechanism, the standard pylorus radius value is between 0.7 cm and 0.8 cm.
2. The pyloric condition detection system using signal analysis of claim 1, wherein:
the abnormality detection mechanism is further configured to issue a pylorus normal instruction when an absolute value of a difference between the maximum radial radius and the standard pylorus radius is not exceeded.
3. The pyloric condition detection system using signal analysis of claim 2, wherein:
extracting the overall depth of field of the pyloric target corresponding to the region to be analyzed based on the depth of field of each pixel point in the region to be analyzed comprises: and taking the depth of field with the most frequent occurrence frequency in the depth of field of each pixel point in the region to be analyzed as the whole depth of field of the pyloric target.
4. The pyloric condition detection system using signal analysis of claim 3, wherein:
in the feature analysis apparatus, the imaging feature of the pylorus includes a color imaging feature of the pylorus and a contour imaging feature of the pylorus.
5. The pyloric condition detection system using signal analysis of claim 4, wherein:
identifying an imaging region from the live sharpened image that matches the imaging features of the pylorus for output as a region to be analyzed based on the imaging features of the pylorus includes: and outputting an imaging region which is matched with the color imaging feature of the pylorus and the contour imaging feature of the pylorus in the field sharpened image as a region to be analyzed.
6. The pyloric condition detection system employing signal interpretation of claim 5, wherein the system further comprises:
the optical fiber communication equipment is respectively connected with the radius identification equipment and the abnormality detection mechanism;
the optical fiber communication equipment is used for receiving and reporting various fault codes of the radius identification equipment or the abnormality detection mechanism.
7. The pyloric condition detection system using signal analysis of claim 6, wherein:
the radius identification equipment is internally provided with a first fault self-checking unit used for carrying out self-checking and sending fault codes on internal faults of the radius identification equipment.
8. The pyloric condition detection system using signal analysis of claim 7, wherein:
and a second fault self-checking unit is arranged in the abnormality detection mechanism and is used for carrying out self-checking on the internal fault of the abnormality detection mechanism and sending a fault code.
9. The pyloric condition detection system using signal analysis of claim 8, wherein:
the first fault self-checking unit and the second fault self-checking unit are respectively realized by editable logic devices with different models.
10. The pyloric condition detection system using signal analysis of claim 9, wherein:
the radius identification equipment is also internally provided with a first electric quantity measuring unit which is used for measuring the current residual electric quantity of the radius identification equipment;
the abnormality detection mechanism is further internally provided with a second electric quantity measurement unit for measuring the current remaining electric quantity of the abnormality detection mechanism.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112614058A (en) * | 2020-10-31 | 2021-04-06 | 泰州锐比特智能科技有限公司 | Object cross-sectional area analysis system |
| CN113041467A (en) * | 2020-12-03 | 2021-06-29 | 泰州国安医疗用品有限公司 | Manual-automatic integrated anesthetic dosage allocation system and method |
| CN115451848A (en) * | 2022-09-22 | 2022-12-09 | 江阴市晶磁电子有限公司 | Identification system for sensor core inspection |
| CN118376182A (en) * | 2024-06-14 | 2024-07-23 | 杭州蛮珏建材有限公司 | Intelligent inspection system for cross-sectional area of square steel |
-
2020
- 2020-07-28 CN CN202010736947.4A patent/CN111839439A/en not_active Withdrawn
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112614058A (en) * | 2020-10-31 | 2021-04-06 | 泰州锐比特智能科技有限公司 | Object cross-sectional area analysis system |
| CN112614058B (en) * | 2020-10-31 | 2021-11-09 | 温岭市山市金德利电器配件厂 | Object cross-sectional area analysis system |
| CN113041467A (en) * | 2020-12-03 | 2021-06-29 | 泰州国安医疗用品有限公司 | Manual-automatic integrated anesthetic dosage allocation system and method |
| CN115451848A (en) * | 2022-09-22 | 2022-12-09 | 江阴市晶磁电子有限公司 | Identification system for sensor core inspection |
| CN115451848B (en) * | 2022-09-22 | 2023-11-03 | 江阴市晶磁电子有限公司 | Identification system for sensor core inspection |
| CN118376182A (en) * | 2024-06-14 | 2024-07-23 | 杭州蛮珏建材有限公司 | Intelligent inspection system for cross-sectional area of square steel |
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Application publication date: 20201030 |