CN107898434B - Healthcare system in intelligent ear - Google Patents
Healthcare system in intelligent ear Download PDFInfo
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- CN107898434B CN107898434B CN201711082813.XA CN201711082813A CN107898434B CN 107898434 B CN107898434 B CN 107898434B CN 201711082813 A CN201711082813 A CN 201711082813A CN 107898434 B CN107898434 B CN 107898434B
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/0059—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence
- A61B5/0082—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence adapted for particular medical purposes
- A61B5/0084—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence adapted for particular medical purposes for introduction into the body, e.g. by catheters
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- 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
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Abstract
The present invention relates to healthcare systems in a kind of intelligent ear, comprising: aspherical camera shooting mechanism is arranged in the ear of user, and the internal environment for the ear to user carries out image data acquiring, to obtain and export multiple high-definition image frames continuous in time；Mean value feedback equipment is shaken, for obtaining current high-definition image frame, the current high-definition image frame is compared with the history high-definition image frame being most recently received before to obtain the corresponding flating average value of current high-definition image frame；Processing equipment is modeled, the Feature Selection Model being made of input layer, output layer and multiple hidden layers is established, wherein the output quantity of the output layer of Feature Selection Model is ear-drum convex-concave grade.By means of the invention it is possible to which the medical care for facilitating medical institutions to be implemented with effect to patient's Er Nei environment operates.
Description
Technical field
The present invention relates to healthcare systems in medical care equipment field more particularly to a kind of intelligent ear.
Background technique
In current ear in medical care operation, subject is just sat, and upper body can be slightly biased, head turned to the opposite side.Examiner is by head lamp
Or the reflective of frontal mirror concentrates on appropriate location, lightly adjusting subject's head position is adapted its external auditory canal opening and light.At
People need to slightly pull up backward auricle, so that ear canal is straightened and (is then only needed to pull downwards backward and slightly in children), can see depth
Portion.Notice whether subject has pain when drawing.If earwaxing in ear canal, should remove.Ear canal, which is such as straightened, cannot still get a glimpse of ear
The overall picture of road bottom then can be put into suitable otoscope or electric auriscope examines, and emphasis watches eardrum, and whether there is or not hyperemia, swelling, muddy
Turbid, cicatricial adhesion, calcium spot and perforation.Normal human tympanic membrane tense part of tympanic membrane is slightly in canescence, and light cone and every mark are clear；As light cone dissipates
Disorderly, tuberculum mallei is excessively prominent, malleus handle over-tilting, and several is in transverse presentation, and shape seemingly shortens, and indicates otopiesis.
It is whether movable that it should be also tested when eardrum inspection, drum can be seen to overpressure on external ear canal and decompression by pneumatic otoscope
Film activity condition.As eardrum color is dim, it should be noted that can see that whether there is or not sepages in tympanum through eardrum, when suspicious, pass through
Pharyngotympanic tube catheterization or air-blowing may show the fluid level of hydrops.
The flaccid part area of eardrum is smaller, is in above tense part of tympanic membrane, is not easy to pry through, and need to adjust subject head position and otoscope
Position can just see clearly.Flaccid part is if any perforation, and often middle ear are potentially dangerous the symbol of lesion.
Above-mentioned detection mode excessively relies on manual operation, while needing the judgement of quite experienced medical staff, thus
Intelligent level is not high, and testing result is inaccurate.
Summary of the invention
To solve the above-mentioned problems, the present invention provides healthcare systems in a kind of intelligent ear, using deep neural network
The ear-drum convex-concave grade in the ear of user is obtained, while also using pressure compensation device, is arranged in the ear of user, is used
In when the ear-drum convex-concave grade received transfinites, for carrying out air pressure compensation in the ear to user, to user's
Ear-drum in ear carries out compression balance.
More specifically, the present invention at least has following three important inventive points:
(1) input quantity of Feature Selection Model is selected using flating average value, in flating amount hour
The use for image itself is selected as the input quantity of Feature Selection Model guaranteeing the original data of image, in trembling for input picture
When momentum distance presets dithering threshold too far, had and the above-mentioned spy apart from directly proportional data volume using what is extracted from image
Input quantity of the value indicative as Feature Selection Model, so that flating bring be overcome to interfere in image recognition；
(2) the convex-concave degree of the ear-drum of user is identified using adaptive deep neural network；
(3) pressure compensation device is used, when the convex-concave degree for ear-drum transfinites, to progress air pressure in the ear of user
Force compensating carries out compression balance with the ear-drum in the ear to user, to be effectively protected the ear-drum at handy family.
According to an aspect of the present invention, healthcare system in a kind of intelligent ear is provided, the system comprises:
Aspherical camera shooting mechanism, is arranged in the ear of user, and the internal environment for the ear to user carries out image
Data acquisition, to obtain and export multiple high-definition image frames continuous in time；
Mean value feedback equipment is shaken, for obtaining current high-definition image frame, by the current high-definition image frame and before
The history high-definition image frame being most recently received is compared to obtain the corresponding flating average value of current high-definition image frame.
Feature Selection equipment is connect with the shake mean value feedback equipment, for average in the flating received
When value is more than or equal to default dithering threshold, it is corresponding with described image shake average value that data volume is extracted from current high-definition image frame
Characteristics of image input quantity type alternatively be input in Feature Selection Model, and in the flating received
When average value is less than default dithering threshold, the input quantity type of current high-definition image frame alternatively itself is input to feature and is mentioned
In modulus type；
Processing equipment is modeled, the Feature Selection Model being made of input layer, output layer and multiple hidden layers, input layer are established
Using the selected input quantity type of the Feature Selection equipment, multiple hidden layers are for successively to the input quantity of input layer input
Feature abstraction is carried out, output layer connect with the last one hidden layer, for by the feature abstraction that carries out of the last one hidden layer
As a result it exports；
Wherein, the output quantity of the output layer of Feature Selection Model is ear-drum convex-concave grade.
Detailed description of the invention
Embodiment of the present invention is described below with reference to attached drawing, in which:
Fig. 1 is the structure according to the aspherical camera shooting mechanism of healthcare system in the intelligent ear shown in embodiment of the present invention
Schematic diagram.
Fig. 2 is the structural block diagram according to healthcare system in the intelligent ear shown in embodiment of the present invention.
Appended drawing reference: 11 first High-precision aspheric lens；12 concave lens；13 second High-precision aspheric lens；14
Convex portions；20 cameras；30 optical filters
Specific embodiment
The embodiment of healthcare system in intelligent ear of the invention is described in detail below with reference to accompanying drawings.
Healthcare system excessively relies on manual operation and artificial experience in current ear.In order to overcome above-mentioned deficiency, the present invention
Healthcare system in a kind of intelligent ear is built, specific embodiment is as follows.
Fig. 1 is the structure according to the aspherical camera shooting mechanism of healthcare system in the intelligent ear shown in embodiment of the present invention
Schematic diagram.
Wherein, the aspherical camera shooting mechanism includes: to be set to aspheric lens group inside lens mount, 20 and of camera
Optical filter 30, camera is connected on circuit board, convenient for captured image information to be timely and accurately transmitted on circuit board
Control circuit in.
The aspheric lens group, front and back are made of two High-precision aspheric lens 11,13: front lens 11 and it is rear thoroughly
Mirror 13, two aspheric front lens 11 all have convex portions 14, the concave part of two aspheric front lens 11 and rear lens 13
Point all inwardly settings, it is intermediate equipped with the concave lens 12 adaptable with front lens 11 and rear lens 13, before concave lens 12
Concave surface is corresponding with the projection radian of front lens 11, and the back concave surface of concave lens 12 is corresponding with the projection radian of rear lens 13, this
The setting of kind non-spherical lens allows the focusing spacing between lens to become very little, is thus substantially shorter the length of lens group
Degree, keeps the volume of entire camera very small.
Fig. 2 is the structural block diagram according to healthcare system in the intelligent ear shown in embodiment of the present invention, the system
Include:
Aspherical camera shooting mechanism, is arranged in the ear of user, and the internal environment for the ear to user carries out image
Data acquisition, to obtain and export multiple high-definition image frames continuous in time；
Mean value feedback equipment is shaken, for obtaining current high-definition image frame, by the current high-definition image frame and before
The history high-definition image frame being most recently received is compared to obtain the corresponding flating average value of current high-definition image frame.
Then, continue that the specific structure of healthcare system in intelligent ear of the invention is further detailed.
In the intelligent ear in healthcare system, further includes:
Feature Selection equipment is connect with the shake mean value feedback equipment, for average in the flating received
When value is more than or equal to default dithering threshold, it is corresponding with described image shake average value that data volume is extracted from current high-definition image frame
Characteristics of image input quantity type alternatively be input in Feature Selection Model, and in the flating received
When average value is less than default dithering threshold, the input quantity type of current high-definition image frame alternatively itself is input to feature and is mentioned
In modulus type.
In the intelligent ear in healthcare system, further includes:
Processing equipment is modeled, the Feature Selection Model being made of input layer, output layer and multiple hidden layers, input layer are established
Using the selected input quantity type of the Feature Selection equipment, multiple hidden layers are for successively to the input quantity of input layer input
Feature abstraction is carried out, output layer connect with the last one hidden layer, for by the feature abstraction that carries out of the last one hidden layer
As a result it exports, wherein the output quantity of the output layer of Feature Selection Model is ear-drum convex-concave grade；
Target analysis equipment, respectively with the modeling processing equipment, the Feature Selection equipment and the shake average value
Analytical equipment connection, for receiving the current high-definition image frame, and the input quantity class selected according to the Feature Selection equipment
Type is by extracting feature to the current high-definition image frame the current high-definition image frame to be converted into the input quantity with selection
The corresponding image feature amount of type, based on the Feature Selection Model that the modeling processing equipment is established, by the current high definition figure
Input of the image feature amount converted as frame as the input layer of Feature Selection Model, the ear-drum in ear to obtain user is convex
Recessed grade；
Pressure compensation device is arranged in the ear of user, connect with the target analysis equipment, for receiving
When ear-drum convex-concave grade transfinites, in the ear to user carry out air pressure compensation with the ear-drum in the ear to user into
Row, which is pressurized, to be balanced；
Wherein, the current high-definition image frame is compared with the history high-definition image frame being most recently received before to obtain
Obtaining the corresponding flating average value of current high-definition image frame includes: by each pixel in the current high-definition image frame
Pixel value and each pixel in the square pixels block centered on the history high-definition image frame corresponding position pixel
Pixel value is matched to obtain the pixel that is matched to, is determined the pixel in the current high-definition image frame and is matched to
The distance difference of pixel is based on the current height using the real-time amount of jitter as the pixel in the current high-definition image frame
The real-time amount of jitter of all pixels point determines the flating average value in the current high-definition image frame in clear picture frame；
Wherein, in the Feature Selection equipment, data volume is extracted from current high-definition image frame and described image shake is flat
The input quantity type of the corresponding characteristics of image of mean value alternatively, which is input in Feature Selection Model, to be specifically included: described image is trembled
Dynamic average value is remoter apart from the default dithering threshold, and that extracts from current high-definition image frame shakes average value with described image
The data volume of corresponding characteristics of image is more；
Wherein, in the Feature Selection equipment, data volume is extracted from current high-definition image frame and described image shake is flat
The input quantity type of the corresponding characteristics of image of mean value alternatively, which is input in Feature Selection Model, to be specifically included: described image is trembled
Dynamic average value is closer apart from the default dithering threshold, and that extracts from current high-definition image frame shakes average value with described image
The data volume of corresponding characteristics of image is fewer.
In the intelligent ear in healthcare system, further includes:
First WIFI communication equipment, be arranged in the target analysis equipment, for establish the target analysis equipment with
WIFI communication link between other equipment.
In the intelligent ear in healthcare system, further includes:
2nd WIFI communication equipment, be arranged on the pressure compensation device, for establish the pressure compensation device with
WIFI communication link between other equipment.
In the intelligent ear in healthcare system:
Two-way WIFI communication link is established between the first WIFI communication equipment and the 2nd WIFI communication equipment.
In the intelligent ear in healthcare system, further includes:
Detection support is extend into the ear of user, is detected for the ear internal environment to user；
Wherein, described to be arranged in the detection support.
Using healthcare system in intelligent ear of the invention, for the manual technology of medical care mode in prior art middle ear
Problem, by designing the image recognition mechanism based on deep neural network, the accurate ear-drum convex-concave grade for obtaining user is especially heavy
It wants, introduces pressure compensation device and be used for when the ear-drum convex-concave grade received transfinites, in the ear to user
It carries out air pressure compensation and compression balance is carried out with the ear-drum in the ear to user, to improve the intelligence of medical care equipment in ear
Level can be changed.
It is understood that although the present invention has been disclosed in the preferred embodiments as above, above-described embodiment not to
Limit the present invention.For any person skilled in the art, without departing from the scope of the technical proposal of the invention,
Many possible changes and modifications all are made to technical solution of the present invention using the technology contents of the disclosure above, or are revised as
With the equivalent embodiment of variation.Therefore, anything that does not depart from the technical scheme of the invention are right according to the technical essence of the invention
Any simple modifications, equivalents, and modifications made for any of the above embodiments still fall within the range of technical solution of the present invention protection
It is interior.
Claims (2)
1. healthcare system in a kind of intelligence ear, the system comprises:
Aspherical camera shooting mechanism, is arranged in the ear of user, and the internal environment for the ear to user carries out image data
Acquisition, to obtain and export multiple high-definition image frames continuous in time；
Mean value feedback equipment is shaken, it is by the current high-definition image frame and nearest before for obtaining current high-definition image frame
The history high-definition image frame received is compared to obtain the corresponding flating average value of current high-definition image frame；
Feature Selection equipment is connect with the shake mean value feedback equipment, for big in the flating average value received
When being equal to default dithering threshold, data volume figure corresponding with described image shake average value is extracted from current high-definition image frame
As the input quantity type of feature alternatively is input in Feature Selection Model, and for average in the flating received
When value is less than default dithering threshold, the input quantity type of current high-definition image frame alternatively itself is input to feature extraction mould
In type；
It is characterized in that, the system also includes:
Processing equipment is modeled, the Feature Selection Model being made of input layer, output layer and multiple hidden layers is established, input layer uses
The selected input quantity type of Feature Selection equipment, multiple hidden layers are for successively carrying out the input quantity of input layer input
Feature abstraction, output layer are connect with the last one hidden layer, for by the last one hidden layer progress feature abstraction result
Output, wherein the output quantity of the output layer of Feature Selection Model is ear-drum convex-concave grade；
Target analysis equipment, respectively with the modeling processing equipment, the Feature Selection equipment and the shake mean value feedback
Equipment connection, for receiving the current high-definition image frame, and it is logical according to the input quantity type of Feature Selection equipment selection
It crosses and feature is extracted so that the current high-definition image frame to be converted into the input quantity type with selection to the current high-definition image frame
Corresponding image feature amount, based on the Feature Selection Model that the modeling processing equipment is established, by the current high-definition image frame
Input of the image feature amount of conversion as the input layer of Feature Selection Model, the ear-drum convex-concave etc. in ear to obtain user
Grade；
Pressure compensation device is arranged in the ear of user, connect with the target analysis equipment, in the ear-drum received
When convex-concave grade transfinites, in the ear to user carry out air pressure compensation with the ear-drum in the ear to user carry out by
Flatten weighing apparatus；
Wherein, the current high-definition image frame is compared with the history high-definition image frame being most recently received before to be worked as
The corresponding flating average value of preceding high-definition image frame includes: by the pixel of each pixel in the current high-definition image frame
The pixel of value and each pixel in the square pixels block centered on the history high-definition image frame corresponding position pixel
Value is matched to obtain the pixel being matched to, and determines the pixel and the pixel being matched in the current high-definition image frame
The distance difference of point is based on the current high definition figure using the real-time amount of jitter as the pixel in the current high-definition image frame
As the real-time amount of jitter of all pixels point in frame determines the flating average value in the current high-definition image frame；
Wherein, in the Feature Selection equipment, data volume is extracted from current high-definition image frame and described image shakes average value
The input quantity type of corresponding characteristics of image alternatively, which is input in Feature Selection Model, to be specifically included: described image shake is flat
Default dithering threshold described in mean distance is remoter, and that extracts from current high-definition image frame is corresponding with described image shake average value
Characteristics of image data volume it is more；
Wherein, in the Feature Selection equipment, data volume is extracted from current high-definition image frame and described image shakes average value
The input quantity type of corresponding characteristics of image alternatively, which is input in Feature Selection Model, to be specifically included: described image shake is flat
Default dithering threshold described in mean distance is closer, and that extracts from current high-definition image frame is corresponding with described image shake average value
Characteristics of image data volume it is fewer.
2. healthcare system in intelligence ear as described in claim 1, which is characterized in that the system also includes:
First WIFI communication equipment is arranged in the target analysis equipment, for establishing the target analysis equipment and other
WIFI communication link between equipment.
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| CN201711082813.XA CN107898434B (en) | 2017-11-07 | 2017-11-07 | Healthcare system in intelligent ear |
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| CN201711082813.XA CN107898434B (en) | 2017-11-07 | 2017-11-07 | Healthcare system in intelligent ear |
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