CN116687466B - Esophageal cell collection capsule based on position identification and control system thereof - Google Patents
Esophageal cell collection capsule based on position identification and control system thereof Download PDFInfo
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- CN116687466B CN116687466B CN202310974175.1A CN202310974175A CN116687466B CN 116687466 B CN116687466 B CN 116687466B CN 202310974175 A CN202310974175 A CN 202310974175A CN 116687466 B CN116687466 B CN 116687466B
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- 239000002775 capsule Substances 0.000 title claims abstract description 24
- 210000003238 esophagus Anatomy 0.000 claims description 56
- 210000000214 mouth Anatomy 0.000 claims description 39
- 230000009747 swallowing Effects 0.000 claims description 30
- 230000029087 digestion Effects 0.000 claims description 29
- 230000001055 chewing effect Effects 0.000 claims description 21
- 238000000034 method Methods 0.000 claims description 19
- 238000013528 artificial neural network Methods 0.000 claims description 16
- 238000010276 construction Methods 0.000 claims description 15
- 238000012549 training Methods 0.000 claims description 15
- 239000002245 particle Substances 0.000 claims description 12
- 238000003062 neural network model Methods 0.000 claims description 9
- 238000012360 testing method Methods 0.000 claims description 9
- 230000000152 swallowing effect Effects 0.000 claims description 8
- 238000004364 calculation method Methods 0.000 claims description 7
- 238000002789 length control Methods 0.000 claims description 7
- 239000000463 material Substances 0.000 claims description 4
- 238000006116 polymerization reaction Methods 0.000 claims description 3
- 206010052428 Wound Diseases 0.000 claims 4
- 208000027418 Wounds and injury Diseases 0.000 claims 4
- 238000013480 data collection Methods 0.000 description 6
- 238000010586 diagram Methods 0.000 description 3
- 230000001079 digestive effect Effects 0.000 description 2
- 210000003097 mucus Anatomy 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B10/00—Other methods or instruments for diagnosis, e.g. instruments for taking a cell sample, for biopsy, for vaccination diagnosis; Sex determination; Ovulation-period determination; Throat striking implements
- A61B10/02—Instruments for taking cell samples or for biopsy
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/42—Detecting, measuring or recording for evaluating the gastrointestinal, the endocrine or the exocrine systems
- A61B5/4205—Evaluating swallowing
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/42—Detecting, measuring or recording for evaluating the gastrointestinal, the endocrine or the exocrine systems
- A61B5/4222—Evaluating particular parts, e.g. particular organs
- A61B5/4233—Evaluating particular parts, e.g. particular organs oesophagus
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6846—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be brought in contact with an internal body part, i.e. invasive
- A61B5/6847—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be brought in contact with an internal body part, i.e. invasive mounted on an invasive device
- A61B5/6861—Capsules, e.g. for swallowing or implanting
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
- G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
Abstract
The invention discloses an esophageal cell collection capsule based on position identification and a control system thereof.
Description
Technical Field
The invention relates to the field of medical equipment, in particular to an esophagus cell collection capsule based on position identification.
Background
In the process of detecting the esophagus of a patient, the esophagus cells of the patient at the affected part need to be detected, in the process of collecting the esophagus cells of the patient at the affected part, a capsule is usually used for releasing a collecting net, the problem that the position of the appointed affected part cannot be collected exists in the collecting process, meanwhile, in the collecting process, the collecting net is pulled out to collect the cells above the affected part, so that the cell collection is inaccurate, and in order to solve the problem, the invention provides an esophagus cell collecting capsule based on position identification and a control system thereof.
Disclosure of Invention
Aiming at the defects of the prior art, the main purpose of the invention is to provide an esophagus cell collection capsule based on position identification and a control system thereof, which can effectively solve the problems in the background art: in the process of collecting the esophageal cells of the wounded part of a patient, the capsule is usually used for releasing the collecting net, the problem that the position of the wounded part cannot be collected in a specified mode exists in the collecting process, and meanwhile, the collecting net is pulled out to collect the cells above the wounded part in the collecting process, so that the cell collection is inaccurate. The specific technical scheme of the invention is as follows:
the utility model provides an esophagus cell gathers capsule based on position identification, includes digestion bottom, goes up to expand cover, controller and last cover, digestion bottom cup joints with last expansion cover bottom after the polymerization, the inside of digestion bottom is stored and is gathered the net, the mid-mounting of gathering the net has No. two stay ropes, no. two the upper end of stay ropes passes the cover, the upper end of going up the cover is connected with the controller, the inside of controller is provided with a stay rope, the bottom and the last cover of a stay rope are connected, the inside of controller has the rope subassembly of putting, the rope subassembly of putting is used for releasing a stay rope and No. two stay ropes of appointed accurate length.
The invention is further improved in that the bottom of the upper unfolding sleeve is provided with an elastic unfolding rope, and the unfolded size of the elastic unfolding rope is matched with the inner diameter of the esophagus.
The invention is further improved in that the upper end of the digestion bottom cover is fixedly provided with a digestion fastening sleeve, and the digestion bottom cover and the digestion fastening sleeve are both made of food-grade materials.
The invention is further improved in that the surface of the upper sleeve is provided with a marking plate, and the controller runs a control system.
The invention is further improved in that the control system comprises an acquisition module, a distance calculation module, a neural network construction module and a length control module, wherein the acquisition module is used for acquiring oral cavity, esophagus and swallowing action data in the swallowing process, the neural network construction module is used for constructing and training a neural network model which is output as the wound position according to the input quantity of the acquired oral cavity, esophagus and swallowing action data, the distance calculation module is used for inputting the acquired oral cavity, esophagus and swallowing action data of a patient into the neural network model, outputting the wound position, calculating the distance from the mouth to the wound according to the wound position and the mouth position of the patient, and the length control module is used for controlling the lengths of the first pull rope and the second pull rope.
The invention is further improved in that the acquisition module comprises an oral data acquisition unit, an esophagus data acquisition unit and a swallowing data acquisition unit, wherein the oral data acquisition unit is used for acquiring oral data in a swallowing process and comprises oral opening amplitude data, the opening amplitude is calculated in a mode of a ratio kz of an opening distance of the middle part of a lip to an oral length in an oral chewing process, the oral chewing frequency data is calculated in a mode of chewing frequency f of oral chewing, the esophagus data acquisition unit is used for acquiring esophagus length ls and esophagus inner diameter data lr, the swallowing data acquisition unit is used for acquiring swallowing habit data, and the swallowing habit data comprises average particle size data sk of a swallow.
The invention further improves that the neural network construction module comprises a neural network construction strategy, and the neural network construction strategy comprises the following specific steps:
obtaining oral data, esophagus data, swallowing data and a distance lop from a mouth to an affected part of at least one hundred patients to construct a parameter model equation, and dividing the data into a 70% distance coefficient training set and a 30% distance coefficient testing set; performing parameter training on the parameter model equation to construct a regression model network, and inputting a 70% distance coefficient training set into the regression model network for training to obtain an initial regression model; and testing the initial regression model by using a 30% distance coefficient test set, and outputting an optimal initial regression model meeting the accuracy of the distance from the preset mouth to the wounded part as a regression prediction model.
The invention is further improved in that the specific form of the parametric model equation is as follows:wherein m is a set distance standard value, +.>For the opening amplitude duty cycle +.>For the ratio of the chewing frequency of the oral cavity, +.>For the length of the esophagus by a factor of +>Is the inner diameter of esophagus ratio coefficient +.>Mean particle fraction for swallow, +.>For a set opening amplitude safety range value, +.>For closest +.about.in the opening amplitude safety margin value>Value of->For a set chewing frequency safety range value, +.>For the nearest +.about.in the chewing frequency safety range value>Value of->For a set value of the esophageal length safety margin, +.>Nearest +.f in the safe range value for esophagus length>Value of->For a set value of the esophageal internal diameter safety margin, +.>Is closest to +.about.in the value of the safe range of the inner diameter of the esophagus>Value of->For a set swallowing mean particle size safety range value, +.>Safety range value for average particle size for swallowing closest +.>Is a value of (2).
Compared with the prior art, the invention has the following beneficial effects:
the method comprises the steps of firstly, constructing a neural network model, collecting oral cavity, esophagus and swallowing data of a user, substituting the data into the neural network model constructed in advance, estimating the distance from the oral cavity to an affected part, substituting a distance acquisition formula to calculate the distance from the oral cavity of the patient to the affected part so as to accurately control the length of a pull rope, introducing the length into a length control module through the release length of the pull rope, digesting the bottom cover and the digestion fastening sleeve by mucus in the esophagus for a period of time after reaching a specified length, and automatically controlling the capsule to be opened to release the acquisition network at a specified position;
and c2, the invention uses the first pull rope and the second pull rope, the first pull rope is fixed with the upper part of the upper sleeve, the second pull rope is connected with the collecting net, so that when the whole body formed by the digestion bottom cover and the upper unfolding sleeve is separated, the upper unfolding sleeve is unfolded above an affected part under the action of the elastic unfolding rope, the side surface of the elastic unfolding rope is contacted with the inner wall of the esophagus, the collecting net longitudinally moves in the affected part to collect cells in the esophagus under the pulling action of the second pull rope, then the collecting net moves upwards to be combined with the upper unfolding sleeve into a whole body, and the upper unfolding sleeve protects the collecting net and avoids collecting the cells above the affected part in the pulling process of the collecting net.
Drawings
Fig. 1 is an overall schematic diagram of an esophageal cell collection capsule based on position recognition according to the invention.
Fig. 2 is a schematic overall development view of an esophageal cell collection capsule based on position recognition according to the invention.
Fig. 3 is a schematic system structure diagram of a control system of an esophageal cell collection capsule based on position recognition.
Fig. 4 is a schematic diagram of an acquisition module of a control system for an esophageal cell acquisition capsule based on position recognition.
In the figure: 1. digesting the bottom cover; 2. digestion of the fastening sleeve; 3. the upper unfolding sleeve is arranged; 4. sleeving; 5. a marking plate; 6. a first pull rope; 7. a controller; 8. a collection net; 9. a second pull rope; 10. the rope is elastically unfolded.
Detailed Description
In order that the above-recited objects, features and advantages of the present invention will become more readily apparent, a more particular description of the invention will be rendered by reference to specific embodiments thereof which are illustrated in the appended drawings.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, but the present invention may be practiced in other ways other than those described herein, and persons skilled in the art will readily appreciate that the present invention is not limited to the specific embodiments disclosed below.
Further, reference herein to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic can be included in at least one implementation of the invention. The appearances of the phrase "in one embodiment" in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments.
Example 1
The embodiment uses a first stay cord and a second stay cord, the first stay cord is fixed with the upper portion of the upper sleeve, the second stay cord is connected with the acquisition net, so when the digestion bottom cover and the upper expansion sleeve are integrally separated, the upper expansion sleeve is expanded above the affected part under the action of the elastic expansion rope, the side surface of the elastic expansion rope is contacted with the inner wall of the esophagus, the acquisition net longitudinally moves to acquire affected part cells in the esophagus under the pulling action of the second stay cord, then moves upwards to be combined with the upper expansion sleeve into a whole, the upper expansion sleeve protects the acquisition net, the cells above the affected part are prevented from being acquired in the pulling process of the acquisition net, and concretely, as shown in fig. 1 and 2, the embodiment comprises a digestion bottom cover, an upper expansion sleeve, a controller and an upper sleeve, the digestion bottom cover is sleeved at the bottom of the upper expansion sleeve after polymerization, the acquisition net is stored in the digestion bottom cover, the middle part of the acquisition net is provided with the second stay cord, the upper end of the second stay cord penetrates through the upper sleeve, the upper end of the upper sleeve is connected with the controller, the first stay cord is arranged in the controller, the first stay cord is connected with the bottom end of the first stay cord is connected with the second stay cord, and the second stay cord is used for releasing the second stay cord component accurately.
In the embodiment, the bottom of the upper unfolding sleeve is provided with an elastic unfolding rope, and the unfolded size of the elastic unfolding rope is matched with the inner diameter of the esophagus.
In the embodiment, the upper end of the digestion bottom cover is fixedly provided with a digestion fastening sleeve, and the digestion bottom cover and the digestion fastening sleeve are made of food-grade materials.
In this embodiment, the upper sleeve has a surface mounted flag, and the controller operates the control system.
Example 2
According to the embodiment, firstly, a neural network model is built, data of an oral cavity, an esophagus and swallowing of a user are acquired, the data are substituted into the neural network model built in advance, the distance from the oral cavity to an affected part is estimated, the distance from the oral cavity to the affected part is calculated according to a distance acquisition formula, the length of a pull rope is accurately controlled, the length of the pull rope is led into a length control module through the release length of the pull rope, after the length reaches a specified length, a digestive bottom cover and a digestive fastening sleeve are digested for a period of time by mucus in the esophagus, and an automatic control capsule is opened to release an acquisition net at the specified position.
In the embodiment, the bottom of the upper unfolding sleeve is provided with an elastic unfolding rope, and the unfolded size of the elastic unfolding rope is matched with the inner diameter of the esophagus.
In the embodiment, the upper end of the digestion bottom cover is fixedly provided with a digestion fastening sleeve, and the digestion bottom cover and the digestion fastening sleeve are made of food-grade materials.
In this embodiment, the upper sleeve has a surface mounted flag, and the controller operates the control system.
In this embodiment, the control system includes an acquisition module, a distance calculation module, a neural network construction module and a length control module, the acquisition module is used for acquiring oral cavity, esophagus and swallowing action data in the swallowing process, the neural network construction module is used for constructing and training a neural network model which is output as a wound position according to the input quantity of the acquired oral cavity, esophagus and swallowing action data, the distance calculation module is used for inputting the acquired oral cavity, esophagus and swallowing action data of a patient into the neural network model, outputting the wound position, calculating the distance from the mouth to the wound according to the wound position and the mouth position of the patient, and the length control module is used for controlling the lengths of the first pull rope and the second pull rope.
In this embodiment, the collection module includes oral cavity data collection unit, esophagus data collection unit and swallowing data collection unit, oral cavity data collection unit is used for gathering the oral cavity data of swallowing in-process, including the oral cavity and open the range data, open the range's calculation mode and be the open distance in mouth in the middle part of the lips and the ratio kz of oral cavity length in the oral cavity chewing process, the mode of the frequency data of chewing of oral cavity is the chewing frequency f of chewing of oral cavity, esophagus data collection unit is used for gathering esophagus length ls and esophagus internal diameter data lr, swallowing data collection unit is used for gathering swallowing habit data, swallowing habit data includes swallowing matter average particle size data sk.
In this embodiment, the neural network construction module includes a neural network construction policy, where the neural network construction policy includes the following specific steps:
obtaining oral data, esophagus data, swallowing data and a distance lop from a mouth to an affected part of at least one hundred patients to construct a parameter model equation, and dividing the data into a 70% distance coefficient training set and a 30% distance coefficient testing set; performing parameter training on the parameter model equation to construct a regression model network, and inputting a 70% distance coefficient training set into the regression model network for training to obtain an initial regression model; and testing the initial regression model by using a 30% distance coefficient test set, and outputting an optimal initial regression model meeting the accuracy of the distance from the preset mouth to the wounded part as a regression prediction model.
In this embodiment, the parametric model equation is specifically expressed as:wherein m is a set distance standard value, +.>For the opening amplitude duty cycle +.>For the ratio of the chewing frequency of the oral cavity, +.>For the length of the esophagus by a factor of +>Is the inner diameter of esophagus ratio coefficient +.>Mean particle fraction for swallow, +.>For a set opening amplitude safety range value, +.>For closest +.about.in the opening amplitude safety margin value>Value of->For a set chewing frequency safety range value, +.>For the nearest +.about.in the chewing frequency safety range value>Value of->For a set value of the safety range of the length of the esophagus，/>Nearest +.f in the safe range value for esophagus length>Value of->For a set value of the esophageal internal diameter safety margin, +.>Is closest to +.about.in the value of the safe range of the inner diameter of the esophagus>Value of->For a set swallowing mean particle size safety range value, +.>Safety range value for average particle size for swallowing closest +.>Is a value of (2).
The foregoing has shown and described the basic principles and main features of the present invention and the advantages of the present invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, and that the above embodiments and descriptions are merely illustrative of the principles of the present invention, and various changes and modifications may be made without departing from the spirit and scope of the invention, which is defined in the appended claims. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (7)
1. The utility model provides an esophagus cell gathers capsule based on position discernment which characterized in that: including digestion bottom, go up to expand cover, controller and last cover, digestion bottom cup joints with last expansion cover bottom after the polymerization, the inside of digestion bottom stores has collection net, collection net's mid-mounting has No. two stay cords, no. two the upper end of stay cord passes the cover, the upper end of going up the cover is connected with the controller, the inside of controller is provided with No. one stay cord, the bottom and last cover of No. one stay cord are connected, the inside of controller has a rope subassembly of putting, it is used for releasing the first stay cord and No. two stay cords of appointed accurate length to put the rope subassembly, controller operation control system includes collection module, distance calculation module, neural network construction module and length control module, collection module is used for gathering oral cavity, esophagus and swallowing action data in the swallowing process, neural network construction module is used for constructing and training the neural network model of exporting the wound position according to the input quantity of oral cavity, esophagus and swallowing action data of collection, the distance calculation module is used for inputting the neural network of wound position to the wound patient, output the model of position and No. two stay cords, the control system is used for calculating the length of wound position to the patient mouth position and mouth position.
2. The esophageal cell collection capsule of claim 1, wherein said esophageal cell collection capsule is based on location identification, wherein: the bottom of the upper unfolding sleeve is provided with an elastic unfolding rope, and the unfolded size of the elastic unfolding rope is matched with the inner diameter of the esophagus.
3. The esophageal cell collection capsule of claim 2, wherein said esophageal cell collection capsule is based on location identification, wherein: the upper end of the digestion bottom cover is fixedly provided with a digestion fastening sleeve, and the digestion bottom cover and the digestion fastening sleeve are both made of food-grade materials.
4. A location-based esophageal cell collection capsule according to claim 3, wherein: the surface of the upper sleeve is provided with a marking plate.
5. The location-based esophageal cell collection capsule of claim 4, wherein: the acquisition module comprises an oral data acquisition unit, an esophagus data acquisition unit and a swallowing data acquisition unit, wherein the oral data acquisition unit is used for acquiring oral data in a swallowing process and comprises oral opening amplitude data, the opening amplitude is calculated in a mode of a ratio kz of an opening distance of the middle part of a lip to the length of the oral cavity in a chewing process, the oral chewing frequency data is calculated in a mode of chewing frequency f of oral chewing, the esophagus data acquisition unit is used for acquiring esophagus length ls and esophagus inner diameter data lr, the swallowing data acquisition unit is used for acquiring swallowing habit data, and the swallowing habit data comprises average particle size data sk of a swallow.
6. The location-based esophageal cell collection capsule of claim 5, wherein: the neural network construction module comprises a neural network construction strategy, and the neural network construction strategy comprises the following specific steps:
obtaining oral data, esophagus data, swallowing data and a distance lop from a mouth to an affected part of at least one hundred patients to construct a parameter model equation, and dividing the data into a 70% distance coefficient training set and a 30% distance coefficient testing set; performing parameter training on the parameter model equation to construct a regression model network, and inputting a 70% distance coefficient training set into the regression model network for training to obtain an initial regression model; and testing the initial regression model by using a 30% distance coefficient test set, and outputting an optimal initial regression model meeting the accuracy of the distance from the preset mouth to the wounded part as a regression prediction model.
7. The location-based esophageal cell collection capsule of claim 6, wherein: the specific form of the parametric model equation is as follows:wherein m is a set distance standard value, +.>For the opening amplitude duty cycle +.>For the ratio of the chewing frequency of the oral cavity, +.>For the length of the esophagus by a factor of +>Is the inner diameter of esophagus ratio coefficient +.>Mean particle fraction for swallow, +.>For a set opening amplitude safety range value, +.>For closest +.about.in the opening amplitude safety margin value>Value of->For a set chewing frequency safety range value, +.>For the nearest +.about.in the chewing frequency safety range value>Value of->For a set value of the esophageal length safety margin, +.>Nearest +.f in the safe range value for esophagus length>Value of->For a set value of the esophageal internal diameter safety margin, +.>Is closest to +.about.in the value of the safe range of the inner diameter of the esophagus>Value of->For a set swallowing mean particle size safety range value, +.>Safety range value for average particle size for swallowing closest +.>Is a value of (2).
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| CN202310974175.1A CN116687466B (en) | 2023-08-04 | 2023-08-04 | Esophageal cell collection capsule based on position identification and control system thereof |
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| CN116687466A (en) | 2023-09-05 |
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