CN107898434A - Healthcare system in intelligent ear - Google Patents
Healthcare system in intelligent ear Download PDFInfo
- Publication number
- CN107898434A CN107898434A CN201711082813.XA CN201711082813A CN107898434A CN 107898434 A CN107898434 A CN 107898434A CN 201711082813 A CN201711082813 A CN 201711082813A CN 107898434 A CN107898434 A CN 107898434A
- Authority
- CN
- China
- Prior art keywords
- ear
- image frame
- definition image
- current high
- equipment
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- 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
-
- 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
Abstract
The present invention relates to healthcare system in a kind of intelligent ear, including：Aspherical image mechanism, is arranged in the ear of user, and the internal environment for the ear to user carries out image data acquiring, to obtain simultaneously continuous multiple high-definition image frames on output time；Mean value feedback equipment is shaken, for obtaining current high-definition image frame, by the current high-definition image frame to obtain the corresponding flating average value of current high-definition image frame compared with the history high-definition image frame being most recently received before；Processing equipment is modeled, establishes the Feature Selection Model being made of input layer, output layer and multiple hidden layers, 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 the medical care that medical institutions are implemented with patient's Er Nei environment effect is facilitated to operate.
Description
Technical field
The present invention relates to healthcare system in medical care equipment field, more particularly to a kind of intelligent ear.
Background technology
In current ear in medical care operation, person under inspection just sits, 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 person under inspection's head position makes its external auditory canal opening be adapted with light.Into
People need to slightly pull up auricle backward, duct is straightened and (is then only needed backward in children and slightly pull downwards), can see depth
Portion.Notice whether person under inspection has pain during drawing.If earwaxing in duct, should remove.Ear cannot still be got a glimpse of by such as stretching duct
The overall picture of road bottom, then can be put into suitable otoscope or electric auriscope and examine, and emphasis watches eardrum whether there is 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 too prominent, and malleus handle over-tilting, several is in transverse presentation, and shape seemingly shortens, and represents otopiesis.
It is whether movable that it should be also tested during eardrum inspection, drum can be seen to overpressure on external ear canal and decompression by pneumatic otoscope
Film active situation.As eardrum color and luster is dim, it should be noted that can see sepage is whether there is 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 spy on, and need to adjust person under inspection 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 needs the judgement of quite experienced medical staff, thus
Intelligent level is not high, and testing result is not accurate enough.
The content of the invention
To solve the above-mentioned problems, the present invention provides healthcare system 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 uses 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, with 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 made choice using flating average value, in flating amount hour
Image is selected in itself as the input quantity of Feature Selection Model to ensure the use of the original data of image, in trembling for input picture
The default dithering threshold of momentum distance too far when, using having of being extracted from image and the above-mentioned spy apart from directly proportional data volume
Input quantity of the value indicative as Feature Selection Model, so as to overcome the interference that flating is brought 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 carrying out air pressure in the ear of user
Force compensating carries out compression balance with the ear-drum in the ear to user, so as to effectively protect the ear-drum of user.
According to an aspect of the present invention, there is provided healthcare system in a kind of intelligence ear, the system comprises：
Aspherical image mechanism, is arranged in the ear of user, and the internal environment for the ear to user carries out image
Data acquisition, to obtain simultaneously continuous multiple high-definition image frames on output 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 connected with the shake mean value feedback equipment, for being averaged 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 in itself is input to feature and is carried
In modulus type；
Processing equipment is modeled, establishes the Feature Selection Model being made of input layer, output layer and multiple hidden layers, input layer
Using the selected input quantity type of the Feature Selection equipment, multiple hidden layers are used for successively to the input quantity of input layer input
Feature abstraction is carried out, output layer is connected with last hidden layer, for by the feature abstraction that carries out of last hidden layer
As a result export；
Wherein, the output quantity of the output layer of Feature Selection Model is ear-drum convex-concave grade.
Brief description of the drawings
Embodiment of the present invention is described below with reference to attached drawing, wherein：
Fig. 1 is the structure of the aspherical image mechanism of healthcare system in intelligent ear according to embodiment of the present invention
Schematic diagram.
Fig. 2 is the block diagram of healthcare system in intelligent ear according to embodiment of the present invention.
Reference numeral：11 first High-precision aspheric lens；12 concave lens；13 second High-precision aspheric lens；14
Convex portions；20 cameras；30 optical filters
Embodiment
The embodiment of healthcare system in the intelligent ear of the present 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 of the aspherical image mechanism of healthcare system in intelligent ear according to embodiment of the present invention
Schematic diagram.
Wherein, the aspherical image mechanism includes：It is arranged at aspheric lens group inside lens mount, 20 and of camera
Optical filter 30, camera is connected on circuit board, easy to which captured image information is timely and accurately transmitted on circuit board
Control circuit in.
The aspheric lens group, is made of two High-precision aspheric lens 11,13 before and after it：Front lens 11 and it is rear thoroughly
Mirror 13, two aspheric front lens 11 all have the concave part of convex portions 14, two aspheric front lens 11 and rear lens 13
Point all inwardly set, it is middle 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, allows the volume of whole camera very small.
Fig. 2 is the block diagram of healthcare system in intelligent ear according to embodiment of the present invention, the system
Including：
Aspherical image mechanism, is arranged in the ear of user, and the internal environment for the ear to user carries out image
Data acquisition, to obtain simultaneously continuous multiple high-definition image frames on output 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, the concrete structure for continuing healthcare system in the intelligent ear to the present invention is further detailed.
In the intelligent ear in healthcare system, further include：
Feature Selection equipment, is connected with the shake mean value feedback equipment, for being averaged 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 in itself is input to feature and is carried
In modulus type.
In the intelligent ear in healthcare system, further include：
Processing equipment is modeled, establishes the Feature Selection Model being made of input layer, output layer and multiple hidden layers, input layer
Using the selected input quantity type of the Feature Selection equipment, multiple hidden layers are used for successively to the input quantity of input layer input
Feature abstraction is carried out, output layer is connected with last hidden layer, for by the feature abstraction that carries out of last hidden layer
As a result export, wherein, the output quantity of the output layer of Feature Selection Model is ear-drum convex-concave grade；
Target analysis equipment, models processing equipment, the Feature Selection equipment and the shake average value with described respectively
Analytical equipment connects, for receiving the current high-definition image frame, and according to the input quantity class of Feature Selection equipment selection
The current high-definition image frame by being converted into the input quantity with selection by type to the current high-definition image frame extraction feature
The corresponding image feature amount of type, the Feature Selection Model established based on the modeling processing equipment, by the current high definition figure
It is convex to obtain the ear-drum in the ear of user as input of the image feature amount as the input layer of Feature Selection Model that frame is changed
Recessed grade；
Pressure compensation device, is arranged in the ear of user, be connected 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, by the current high-definition image frame 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 correspondence position pixel
Pixel value is matched to obtain the pixel that matches, is determined the pixel in the current high-definition image frame and is matched
The distance difference of pixel is using the real-time amount of jitter as the pixel in the current high-definition image frame, based on described current high
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 average alternatively, which is input in Feature Selection Model, to be specifically included：Described image is trembled
Dynamic average value is more remote apart from the default dithering threshold, and that is extracted 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 average alternatively, which is input in Feature Selection Model, to be specifically included：Described image is trembled
Dynamic average value is nearer apart from the default dithering threshold, and that is extracted 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 include：
First WIFI communication equipments, are arranged in the target analysis equipment, for establish the target analysis equipment with
WIFI communication links between other equipment.
In the intelligent ear in healthcare system, further include：
2nd WIFI communication equipments, are arranged on the pressure compensation device, for establish the pressure compensation device with
WIFI communication links between other equipment.
In the intelligent ear in healthcare system：
Two-way WIFI communication links are established between the first WIFI communication equipments and the 2nd WIFI communication equipments.
In the intelligent ear in healthcare system, further include：
Detection support, extend into the ear of user, for being detected to the ear internal environment of user；
Wherein, it is described to be arranged in the detection support.
Healthcare system in intelligence ear using the present invention, for the manual technology of medical care pattern 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 particularly heavy
Want, introduce pressure compensation device and be used for when the ear-drum convex-concave grade received transfinites, in the ear to user
Carry out air pressure compensation and compression balance is carried out with the ear-drum in the ear to user, so as to improve the intelligence of medical care equipment in ear
Level can be changed.
It is understood that although the present invention is disclosed as above with preferred embodiment, but above-described embodiment and it is not used to
Limit the present invention.For any those skilled in the art, without departing from the scope of the technical proposal of the invention,
Many possible changes and modifications are all 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 change.Therefore, every content without departing from technical solution of the present invention, the technical spirit pair according to the present invention
Any simple modifications, equivalents, and modifications made for any of the above embodiments, still fall within the scope of technical solution of the present invention protection
It is interior.
Claims (7)
1. healthcare system in a kind of intelligence ear, the system comprises：
Aspherical image mechanism, is arranged in the ear of user, and the internal environment for the ear to user carries out view data
Collection, to obtain simultaneously continuous multiple high-definition image frames on output time；
Shake mean value feedback equipment, for obtaining current high-definition image frame, will it is described currently high-definition image frame with it is nearest before
The history high-definition image frame received is compared to obtain the corresponding flating average value of current high-definition image frame.
2. healthcare system in intelligence ear as claimed in claim 1, it is characterised in that the system also includes：
Feature Selection equipment, is connected with the shake mean value feedback equipment, for big in the flating average value received
When 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 being averaged in the flating received
When value is less than default dithering threshold, the input quantity type of current high-definition image frame alternatively in itself is input to feature extraction mould
In type.
3. healthcare system in intelligence ear as claimed in claim 2, it is characterised in that the system also includes：
Processing equipment is modeled, establishes the Feature Selection Model being made of input layer, output layer and multiple hidden layers, input layer uses
The selected input quantity type of Feature Selection equipment, multiple hidden layers are used to successively carry out the input quantity of input layer input
Feature abstraction, output layer are connected with last hidden layer, for by last 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, models processing equipment, the Feature Selection equipment and the shake mean value feedback with described respectively
Equipment connects, and leads to for receiving the current high-definition image frame, and according to the input quantity type of Feature Selection equipment selection
Cross to the current high-definition image frame extraction feature so that the current high-definition image frame to be converted into the input quantity type with selection
Corresponding image feature amount, the Feature Selection Model established based on the modeling processing equipment, by the current high-definition image frame
Input of the image feature amount of conversion as the input layer of Feature Selection Model, to obtain ear-drum convex-concave in the ear of user etc.
Level；
Pressure compensation device, is arranged in the ear of user, is connected 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, by the current high-definition image frame 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
Value and the pixel of each pixel in the square pixels block centered on the history high-definition image frame correspondence position pixel
Value, which is matched, to obtain the pixel matched, determines the pixel and the pixel matched in the current high-definition image frame
The distance difference of point is using the real-time amount of jitter as the pixel in the current high-definition image frame, based on the current high definition figure
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 and described image shake average value are extracted from current high-definition image frame
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 is more remote described in mean distance, and that is extracted 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 and described image shake average value are extracted from current high-definition image frame
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 is nearer described in mean distance, and that is extracted from current high-definition image frame is corresponding with described image shake average value
Characteristics of image data volume it is fewer.
4. healthcare system in intelligence ear as claimed in claim 3, it is characterised in that the system also includes：
First WIFI communication equipments, are arranged in the target analysis equipment, for establishing the target analysis equipment and other
WIFI communication links between equipment.
5. healthcare system in intelligence ear as claimed in claim 4, it is characterised in that the system also includes：
2nd WIFI communication equipments, are arranged on the pressure compensation device, for establishing the pressure compensation device and other
WIFI communication links between equipment.
6. healthcare system in intelligence ear as claimed in claim 5, it is characterised in that：
Two-way WIFI communication links are established between the first WIFI communication equipments and the 2nd WIFI communication equipments.
7. healthcare system in the intelligent ear as described in claim 3-6 is any, it is characterised in that further include：
Detection support, extend into the ear of user, for being detected to the ear internal environment of user；
Wherein, it is described to be arranged in the detection support.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711082813.XA CN107898434B (en) | 2017-11-07 | 2017-11-07 | Healthcare system in intelligent ear |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711082813.XA CN107898434B (en) | 2017-11-07 | 2017-11-07 | Healthcare system in intelligent ear |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN107898434A true CN107898434A (en) | 2018-04-13 |
| CN107898434B CN107898434B (en) | 2018-12-14 |
Family
ID=61843603
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201711082813.XA Active CN107898434B (en) | 2017-11-07 | 2017-11-07 | Healthcare system in intelligent ear |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107898434B (en) |
Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5910130A (en) * | 1996-09-26 | 1999-06-08 | Becton, Dickinson And Company | Shield and actuator for needles |
| JP2001147175A (en) * | 1999-11-24 | 2001-05-29 | Olympus Optical Co Ltd | Eccentricity measuring device for aspherical lens |
| CN101006728A (en) * | 2004-08-23 | 2007-07-25 | 因特格莱弗软件技术公司 | Real-time image stabilization |
| JP2007243335A (en) * | 2006-03-06 | 2007-09-20 | Fujifilm Corp | Camera shake correction method, camera shake correction apparatus, and imaging apparatus |
| US20110063428A1 (en) * | 2009-09-16 | 2011-03-17 | Medigus Ltd. | Small diameter video camera heads and visualization probes and medical devices containing them |
| JP2011146767A (en) * | 2010-01-12 | 2011-07-28 | Panasonic Corp | Imaging device |
| CN202010141U (en) * | 2010-12-23 | 2011-10-19 | 江苏鱼跃医疗设备股份有限公司 | Otoscope possessing video function |
| US20120245422A1 (en) * | 2011-03-21 | 2012-09-27 | Hasbun William M | Otoscope attachment to be used in conjunction with a smart phone and a method for its use |
| CN102955233A (en) * | 2011-08-24 | 2013-03-06 | 株式会社腾龙 | Zoom lens |
| US20130102359A1 (en) * | 2011-10-20 | 2013-04-25 | Tien-Hwa Ho | Smart phone-combinable otologic inspection device |
| CN103181154A (en) * | 2010-10-29 | 2013-06-26 | 加利福尼亚大学董事会 | Cellscope apparatus and methods for imaging |
| WO2013156999A1 (en) * | 2012-04-19 | 2013-10-24 | Raz Nir | System & method for facilitating remote medical diagnosis and consultation |
| US20150133746A1 (en) * | 2010-03-09 | 2015-05-14 | Zipline Health, Inc. | Ear Ailment Diagnostic Device and Method |
| US20170068108A1 (en) * | 2015-09-04 | 2017-03-09 | Samsung Electronics Co., Ltd. | Image capturing optical system |
| CN105163643B (en) * | 2013-02-04 | 2017-08-08 | 特洛伊海伦有限公司 | Otoscope |
-
2017
- 2017-11-07 CN CN201711082813.XA patent/CN107898434B/en active Active
Patent Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5910130A (en) * | 1996-09-26 | 1999-06-08 | Becton, Dickinson And Company | Shield and actuator for needles |
| JP2001147175A (en) * | 1999-11-24 | 2001-05-29 | Olympus Optical Co Ltd | Eccentricity measuring device for aspherical lens |
| CN101006728A (en) * | 2004-08-23 | 2007-07-25 | 因特格莱弗软件技术公司 | Real-time image stabilization |
| JP2007243335A (en) * | 2006-03-06 | 2007-09-20 | Fujifilm Corp | Camera shake correction method, camera shake correction apparatus, and imaging apparatus |
| US20110063428A1 (en) * | 2009-09-16 | 2011-03-17 | Medigus Ltd. | Small diameter video camera heads and visualization probes and medical devices containing them |
| JP2011146767A (en) * | 2010-01-12 | 2011-07-28 | Panasonic Corp | Imaging device |
| US20150133746A1 (en) * | 2010-03-09 | 2015-05-14 | Zipline Health, Inc. | Ear Ailment Diagnostic Device and Method |
| CN103181154A (en) * | 2010-10-29 | 2013-06-26 | 加利福尼亚大学董事会 | Cellscope apparatus and methods for imaging |
| CN202010141U (en) * | 2010-12-23 | 2011-10-19 | 江苏鱼跃医疗设备股份有限公司 | Otoscope possessing video function |
| US20120245422A1 (en) * | 2011-03-21 | 2012-09-27 | Hasbun William M | Otoscope attachment to be used in conjunction with a smart phone and a method for its use |
| CN102955233A (en) * | 2011-08-24 | 2013-03-06 | 株式会社腾龙 | Zoom lens |
| US20130102359A1 (en) * | 2011-10-20 | 2013-04-25 | Tien-Hwa Ho | Smart phone-combinable otologic inspection device |
| WO2013156999A1 (en) * | 2012-04-19 | 2013-10-24 | Raz Nir | System & method for facilitating remote medical diagnosis and consultation |
| CN105163643B (en) * | 2013-02-04 | 2017-08-08 | 特洛伊海伦有限公司 | Otoscope |
| US20170068108A1 (en) * | 2015-09-04 | 2017-03-09 | Samsung Electronics Co., Ltd. | Image capturing optical system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN107898434B (en) | 2018-12-14 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10962808B2 (en) | Contact lens with image pickup control | |
| US20090189830A1 (en) | Eye Mounted Displays | |
| CN103595912B (en) | The imaging method and device of local scale | |
| CN106774863A (en) | A kind of method that Eye-controlling focus are realized based on pupil feature | |
| CN107890336B (en) | Diopter detecting system based on intelligent handheld device | |
| CN104306102A (en) | Head wearing type vision auxiliary system for patients with vision disorder | |
| US11475663B2 (en) | Visual aid device and visual aid method by which user uses visual aid device | |
| KR101051433B1 (en) | Game machine that responds to user's state judged by eye image and its game providing method | |
| AU2014229610B2 (en) | Wavefront generation for ophthalmic applications | |
| CN107071237A (en) | Image recording system, user's wearable device, camera device, image processing apparatus and image recording process | |
| KR101885473B1 (en) | Smart glass to help visually impaired | |
| CN104076481B (en) | Auto focusing method and its equipment | |
| US20190380638A1 (en) | System and Method for Assessment and Rehabilitation of Balance Impairment Using Virtual Reality | |
| JP2016530000A (en) | System and method for measuring facial features | |
| CN108376395B (en) | Dynamic Graph display platform based on image recognition | |
| CN110308788A (en) | Near viewing is reduced to the device of the system of onset and/or influence on development | |
| CN107222636A (en) | A kind of refraction system and optometry method based on intelligent terminal | |
| CN107072524A (en) | Eye movement detection means | |
| CN108261169B (en) | It is a kind of intelligence ear in healthcare system | |
| CN107898434B (en) | Healthcare system in intelligent ear | |
| CN102798981B (en) | Biomimetic 3D (three dimensional) stereoimaging system | |
| CN109008938B (en) | Vision detection device and system | |
| WO2018219288A1 (en) | Information terminal | |
| CN206865559U (en) | A kind of refraction system based on intelligent terminal | |
| CN206865633U (en) | Vision enhancement wearable device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| TA01 | Transfer of patent application right | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20181101 Address after: 221412 821, room 8, West 323 provincial road, industrial park, Xinyi, Xuzhou, Jiangsu Applicant after: Xuzhou Jiu Sheng Medical Instrument Co., Ltd. Address before: 063000 West circuit 99, Lunan District, Tangshan City, Hebei Applicant before: Chen Qingmei |
|
| GR01 | Patent grant | ||
| GR01 | Patent grant |