CN109350009A - A kind of health monitoring mobile phone based on face - Google Patents
A kind of health monitoring mobile phone based on face Download PDFInfo
- Publication number
- CN109350009A CN109350009A CN201811261217.2A CN201811261217A CN109350009A CN 109350009 A CN109350009 A CN 109350009A CN 201811261217 A CN201811261217 A CN 201811261217A CN 109350009 A CN109350009 A CN 109350009A
- Authority
- CN
- China
- Prior art keywords
- health
- illness
- face
- image
- module
- 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.)
- Pending
Links
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/0033—Features or image-related aspects of imaging apparatus classified in A61B5/00, e.g. for MRI, optical tomography or impedance tomography apparatus; arrangements of imaging apparatus in a room
-
- 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
- A61B5/0062—Arrangements for scanning
- A61B5/0064—Body surface scanning
-
- 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
- A61B5/0077—Devices for viewing the surface of the body, e.g. camera, magnifying lens
-
- 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
- A61B5/6887—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient mounted on external non-worn devices, e.g. non-medical devices
- A61B5/6898—Portable consumer electronic devices, e.g. music players, telephones, tablet computers
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/74—Details of notification to user or communication with user or patient ; user input means
- A61B5/7465—Arrangements for interactive communication between patient and care services, e.g. by using a telephone network
Abstract
The invention discloses a kind of health monitoring mobile phone based on face, it include: illness study module, for the Findings of facial illness sample to be carried out feature extraction to carry out illness sample learning, and save image feature obtained by illness sample learning into illness feature database, for carrying out illness characteristic matching；Video acquisition module, for acquiring the video image comprising face；Face recognition module, for identification face of acquired video image；Image processing module, for handling the video image after identification；Analysis module carries out health analysis to user and exports health analysis result for making comparisons the information after image procossing with preset illness feature database.The present invention utilizes the video acquisition module of mobile phone to acquire facial image automatically, realizes natural health monitoring, and convenient accuracy rate is high in time, can provide the disease risk crowd for having burst risk reliable monitoring comprehensively.
Description
Technical field
The present invention relates to a kind of health monitoring unit, more particularly to a kind of health monitoring hand based on face
Machine belongs to medical treatment & health equipment technical field.
Background technique
Social astogeny development trend aggravation, it is contemplated that the year two thousand fifty, China aged will account for the 30% of population.Always
Since every physiological function is degenerated, health status is generally bad by year people, often suffers from a kind of or even a variety of chronic diseases, but always
Year National People's Congress part be it is solitary, daily life cannot get enough treatments, and especially some the elderlys not know oneself
When slow disease patient is become, has ignored the harm of slow disease, therefore by being monitored in time to slow disease for a long time, has had
Help slow disease early diagnosis and prevention, disease rates are greatly lowered and reduce the medical treatment cost of sufferer.The medicine of 21 century will
From " disease medicine " to " healthy medicine " development changes from treatment is paid attention to prevention and health care is paid attention to, and prevention and health care is traditional Chinese medicine
Unique advantage and characteristic.
Chinese medicine the five internal organs with the five colors theory think that human body is an organic whole, in physiological and pathological variation all
The case where being characterized in face, therefore the variation by observing face, being directly diagnosed to be viscera lesions, so Chinese medicine
It diagnoses the illness and is expected to, hears, asking, cutting four kinds of methods, wherein observation is first of the four methods of diagnosis.Face observes the important portion for belonging to tcm inspection
Point, it can judge the lesion situation of Whole Body and part by observing face, thus be always successive dynasties Chinese medicine scholar institute
Pay attention to.China's classical Chinese medicine works Huangdi's Internal Classics point out, human body viscera function and qi and blood situation have corresponding performance in face,
People can be by the observation to the various situations of face, to understand the health status and change of illness state of human body.So-called phase is given birth to by the heart,
The pathological change or psychology variation of the inherent vital organs of the human body can show relevant range on the face eventually, so the observation of face most can
It sees clearly the interpretation of the cause, onset and process of an illness, grasp the state of an illness.For example Healthy People should be had rosy cheeks and glossy and very clean on the face, but with various
The influence of the influence of extraneous factor, such as environmental pollution, stress etc., health are gradually damaged, and face will be produced slowly
, there is phenomena such as spot, mole, pimple, nigrescence, pastiness in raw various symptoms.
Effective means are lacked to the monitoring of individual health at present, monitoring is inconvenient, not in time.Therefore the present invention is in
Medical knowledge opinion is developed a monitoring and is facilitated timely, low-cost health monitoring mobile phone using information technology.Mobile phone is people's warp
The tool being often used, what face when user is using mobile phone reflected is the nature of user, therefore passes through automatic collection user
Facial image when using mobile phone, and then by facial image analysis it may determine that the health status of user.
Therefore, how to provide a kind of health monitoring mobile phone based on face becomes those skilled in the art's urgent need to resolve
Problem.
Summary of the invention
In view of this, the present invention provides a kind of health monitoring mobile phone based on face, automatic to be adopted using the video of mobile phone
Collect module and acquire facial image, realize natural health monitoring, convenient accuracy rate is high in time, can be to the disease for having burst risk
Sick hidden danger crowd provides reliable monitoring comprehensively.
To achieve the goals above, the present invention adopts the following technical scheme:
A kind of health monitoring mobile phone based on face, comprising:
Illness study module, for the Findings of facial illness sample to be carried out feature extraction to carry out illness sample
It practises, and image feature obtained by illness sample learning is saved into illness feature database, for carrying out illness characteristic matching；
Video acquisition module, for acquiring the video image comprising face；
Face recognition module, for identification face of acquired video image；
Image processing module, for handling the video image after identification；
Analysis module carries out health to user for making comparisons the information after image procossing with preset illness feature database
It analyzes and exports health analysis result.
It preferably, further include control module, the control module is taken by Internet or Wifi or 4G and HEALTH ONLINE
Business platform is connected.
Preferably, HEALTH ONLINE service platform is equipped with personal health file administration center, passes through the personal health shelves
Case administrative center can consult historical data.
Preferably, HEALTH ONLINE service platform is equipped with medical staff's processing module, flat for providing HEALTH ONLINE service
The artificial healthcare of platform.
Preferably, further include memory module, carried out for health analysis result resulting after handling analysis module local
Storage.
Preferably, the day that it is 5500K to value that described image processing module, which restores video acquisition module acquired image,
Ordinary light carries out noise filtering according to the color under colour temperature, and by the entire image after color balance, which is filtered using intermediate value
Wave processing, then utilizes skin color segmentation, the part of human skin color in image is split from background and is handled.
It preferably, further include infrared measurement of temperature module, for acquiring the temperature in human face region.
The beneficial effects of the present invention are:
The present invention realizes that health monitoring, health monitoring facilitate timely, accuracy rate height using mobile phone automatic collection facial image,
It is at low cost, it is easy to carry, it is easy to use, user can be allowed to understand health status at any time, it can be hidden to the disease for having burst risk
Suffer from crowd and reliable monitoring comprehensively is provided, diagnosis reference can be also provided for doctor.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
The embodiment of invention for those of ordinary skill in the art without creative efforts, can also basis
The attached drawing of offer obtains other attached drawings.
Fig. 1 attached drawing is structural block diagram of the invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
Attached drawing 1 is please referred to, the present invention provides a kind of health monitoring mobile phone based on face, comprising:
Illness study module, for the Findings of facial illness sample to be carried out feature extraction to carry out illness sample
It practises, and image feature obtained by illness sample learning is saved into illness feature database, for carrying out illness characteristic matching；
Video acquisition module, for acquiring the video image comprising face, video acquisition module of the present invention is cell-phone camera
Head；
Face recognition module, the face of acquired video image, face recognition module carry out facial image for identification
Identification, check whether it is consistent with the mobile phone user of monitoring, if judgement be it is consistent, facial image is just delivered to image procossing
Module is handled, if inconsistent, is sent a warning；
Image processing module, for handling the video image after identification；
Analysis module carries out health to user for making comparisons the information after image procossing with preset illness feature database
It analyzes and exports health analysis result.
Wherein, the processing method of image processing module, comprising the following steps:
(1), it is handled by color balance and the camera acquired image Summer Solstice or the Winter Solstice ordinary light that restores as unified as possible is shone into colour temperature
Color under (5500K or so), so that it is guaranteed that human body complexion energy accurate recreation, is established for the colour of skin image of subsequent extracted face part
Fixed basis；
Wherein, include: in step (1)
(1.1), original image is rgb format, and picture is converted to the space YCrCb from rgb space first, and by YCrCb
Image under format is layered, that is, is divided into the channel Y, the channel Cr, three layers of the channel Cb, is then chosen in picture and is met Y- | Cb |-|
Cr | the pixel of > φ is with reference to white point, wherein φ is threshold value；
For white point area, R=G=B then Cb=Cr=0, Y are had according to gray world theoryhFor with reference to the bright of white point region
Average value is spent, i.e.,N indicates the white point number with reference to white point area, and Y (i) indicates Y points of i-th of white point pixel
Magnitude.
(1.2), according to what is obtained, pixel each in image is calculated the gain in each channel RGB, wherein Rh, Gh,
BhFor image in tri- channels R, G, B respective average value:
(1.3), the adjustment of each pixel value of image is as follows:
(2), the entire image after color balance is subjected to noise filtering, which uses median filter process；It keeps away
Exempt from unnecessary interference of the noise to the subsequent extracted colour of skin when.
(3), into skin cluster module.Using skin color segmentation, by may be in image human skin color part from
It is split in background.Since face belongs to skin area, under normal circumstances especially indoors when face it is unobstructed, face inspection
When survey, detecting to area of skin color can tentatively realize and be partially separated to face, not need to sentence entire image
It is disconnected, the time of detection can be so substantially reduced, the accuracy of detection also can be enhanced.
In this step, for the space YCrCb, Lab color space is not widely used, and color is aobvious
Show that mode is completely different with YCrCb, the present invention is using a large amount of statistics it can be concluded that distribution of the colour of skin in each channel of Lab space
Situation, then some simple threshold value relationship f (L, a, b) is exported, HSV model foundation plays a kind of proportion relation g (H, S, V), finally
It is merged using two kinds
H (x, y)=f (L, a, b) ∩ g (H, S, V)
Pixel is judged by this relational model
Step1: making some changes under HSV model, and classical HS distributed model is converted to H-SV model, finds it
Gaussian Profile can be presented
Wherein, k is mixing orderαi> 1, μi∈Rd, ∑ i is d × d rank matrix.
Parameter therein is obtained using EM (Expectation-Maximitation) algorithm.
By series of computation, meet the simplified model of this system condition are as follows:
0.005<H<0.14,0.2<SV<0.55, V>0.4
Step2: f (L, a, b)={ L=68.9492, a=12.6222, b=11.7947 } is provided
Step3: meeting h (x, y)=f (L, a, b) ∩ g (H, S, V) is final colour of skin point region, is pressed to whole image
Final colour of skin two-value picture is obtained after this formwork calculation, the pixel value for meeting the colour of skin is set to 255 (bright), and it is ungratified, be
0。
(4), the pixel for meeting the colour of skin in step (3) is set to 255, ungratified point be set to 0 and by piece image according to
Become bianry image according to the colour of skin；Morphological scale-space in Digital Image Processing is carried out to the binary map, using open+closed operation is dual
Mode fills up the narrow fine crack in area of skin color, then the noise bright spot in non-area of skin color is filtered out, finally right
Remaining connected domain carries out a series of conditions constraint, and the inspection of next step face is just sent into the region for meeting face normal morphology ratio
It surveys, otherwise just filters out.
(5), AdaBoost detection is carried out to remaining each piece of area of skin color after operating by step (4)；Piece image
In may have many face candidate windows and be admitted to AdaBoost detection, and may also in each face candidate window
It will detect that multiple faces, after the completion of all areas to be detected of piece image are all detected, according to system requirements, Retention area
Maximum, best one face of effect are tracked.This effect includes wants multiple to face form ratio, color area etc.
It asks.
Wherein, for promoted health analysis result it is accurate with it is comprehensive, analysis module can also further increase multiple images
The comparison of feature, while the image feature comparison of single organ, the image feature comparison of multiple organs can also be integrated, to be promoted
The scope of application of the invention.Be specifically based on facial image and preset illness feature database, successively using single organ illness characteristic matching,
Single illness multiple organ characteristic matching and more illness multiple organ characteristic matchings carry out health analysis to user, wherein user health
Analysis is analyzed especially by illness matching, specifically includes three layers of the matching analysis:
First layer: the characteristic matching analysis of single organ illness.This is the illness matching of lowest level, first from user's face
The face organ of user, such as eye are oriented in image, are then extracted the characteristic parameter of eye, are finally carried out common ophthalmological again
The characteristic parameter of disease matches.In this way, orienting all organs of user's face one by one and carrying out characteristic parameter comparison；
The second layer: the characteristic matching analysis of single illness multiple organ.This stage needs that multiple organs join together to carry out
Analysis, specifically by parameter (such as the opposite position between each organ between the characteristic parameter and organ of the multiple organs of user's face
Set), characteristic parameter, which is carried out, with single illness multiple organ feature in preset illness feature database compares；
Third layer: the characteristic matching analysis of more illness multiple organs.Continue by the characteristic parameter of the multiple organs of user's face with
More illness multiple organ features in preset illness feature database carry out characteristic parameter comparison, so as to obtain some intersection diseases, synthesis
The comparison result of symptom.By above-mentioned three layers of the matching analysis, can not only find the lesion of user partial, and it can be found that with
The lesion of the family overall situation or some complicated illnesss.
The invention also includes control module, control module passes through Internet or Wifi or 4G and HEALTH ONLINE service platform
It is connected, can realizes and wirelessly communicate with HEALTH ONLINE service platform, the analysis data of analysis module are uploaded to health by control module
Online service platform.
HEALTH ONLINE service platform is equipped with personal health file administration center, by the personal health file administration
The heart can consult historical data.People can measure whenever and wherever possible, record the physiological parameter of oneself, upload to individual by network
File administration center.
HEALTH ONLINE service platform is equipped with medical staff's processing module, for providing the artificial of HEALTH ONLINE service platform
Healthcare.It is assessed by health status of medical staff's processing module to health monitoring mobile phone user, and health plaster
Scholar's information is pushed on health monitoring mobile phone, and user is facilitated carry out the conditioning of health status.
The invention also includes memory modules, carry out local deposit for health analysis result resulting after handling analysis module
Storage, in order to subsequent information searching with compare, be conducive to the management of health and fitness information.
Infrared measurement of temperature module of the present invention, for acquiring the temperature in human face region, during video image acquisition, accordingly
Physiological parameter one of of the temperature information as human body, be also used for embodying the health status of human body.
The present invention realizes that health monitoring, health monitoring facilitate timely, accuracy rate height using mobile phone automatic collection facial image,
It is at low cost, it is easy to carry, it is easy to use, user can be allowed to understand health status at any time, it can be hidden to the disease for having burst risk
Suffer from crowd and reliable monitoring comprehensively is provided, diagnosis reference can be also provided for doctor.
Each embodiment in this specification is described in a progressive manner, the highlights of each of the examples are with other
The difference of embodiment, the same or similar parts in each embodiment may refer to each other.For device disclosed in embodiment
For, since it is corresponded to the methods disclosed in the examples, so being described relatively simple, related place is said referring to method part
It is bright.
The foregoing description of the disclosed embodiments enables those skilled in the art to implement or use the present invention.
Various modifications to these embodiments will be readily apparent to those skilled in the art, as defined herein
General Principle can be realized in other embodiments without departing from the spirit or scope of the present invention.Therefore, of the invention
It is not intended to be limited to the embodiments shown herein, and is to fit to and the principles and novel features disclosed herein phase one
The widest scope of cause.
Claims (7)
1. a kind of health monitoring mobile phone based on face characterized by comprising
Illness study module, for the Findings of facial illness sample to be carried out feature extraction to carry out illness sample learning,
And save image feature obtained by illness sample learning into illness feature database, for carrying out illness characteristic matching；
Video acquisition module, for acquiring the video image comprising face；
Face recognition module, for identification face of acquired video image；
Image processing module, for handling the video image after identification；
Analysis module carries out health analysis to user for making comparisons the information after image procossing with preset illness feature database
And export health analysis result.
2. a kind of health monitoring mobile phone based on face according to claim 1, which is characterized in that further include control mould
Block, the control module are connected by I nternet or Wifi or 4G with HEALTH ONLINE service platform.
3. a kind of health monitoring mobile phone based on face according to claim 2, which is characterized in that HEALTH ONLINE service is flat
Platform is equipped with personal health file administration center, can consult historical data by personal health file administration center.
4. a kind of health monitoring mobile phone based on face according to claim 3 or 2, which is characterized in that the health exists
Line service platform is equipped with medical staff's processing module, for providing the artificial healthcare of HEALTH ONLINE service platform.
5. a kind of health monitoring mobile phone based on face according to claim 4, which is characterized in that further include storage mould
Block is locally stored for health analysis result resulting after handling analysis module.
6. a kind of health monitoring mobile phone based on face according to claim 1, which is characterized in that described image handles mould
Video acquisition module acquired image is restored the color under the daily illumination colour temperature for being 5500K to value by block, and color is put down
Entire image after weighing apparatus carries out noise filtering, which uses median filter process, skin color segmentation is then utilized, by image
The part of middle human skin color is split from background to be handled.
7. a kind of health monitoring mobile phone based on face according to claim 1, which is characterized in that further include infrared measurement of temperature
Module, for acquiring the temperature in human face region.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811261217.2A CN109350009A (en) | 2018-10-26 | 2018-10-26 | A kind of health monitoring mobile phone based on face |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811261217.2A CN109350009A (en) | 2018-10-26 | 2018-10-26 | A kind of health monitoring mobile phone based on face |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109350009A true CN109350009A (en) | 2019-02-19 |
Family
ID=65346773
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811261217.2A Pending CN109350009A (en) | 2018-10-26 | 2018-10-26 | A kind of health monitoring mobile phone based on face |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109350009A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112069882A (en) * | 2020-07-27 | 2020-12-11 | 司法鉴定科学研究院 | Face comparison method and system based on face medical feature recognition |
| CN113432720A (en) * | 2021-06-25 | 2021-09-24 | 深圳市迈斯泰克电子有限公司 | Temperature detection method and device based on human body recognition and temperature detection instrument |
-
2018
- 2018-10-26 CN CN201811261217.2A patent/CN109350009A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112069882A (en) * | 2020-07-27 | 2020-12-11 | 司法鉴定科学研究院 | Face comparison method and system based on face medical feature recognition |
| CN113432720A (en) * | 2021-06-25 | 2021-09-24 | 深圳市迈斯泰克电子有限公司 | Temperature detection method and device based on human body recognition and temperature detection instrument |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN113011485B (en) | Multi-mode multi-disease long-tail distribution ophthalmic disease classification model training method and device | |
| US20140313303A1 (en) | Longitudinal dermoscopic study employing smartphone-based image registration | |
| CN108198620A (en) | A kind of skin disease intelligent auxiliary diagnosis system based on deep learning | |
| CN104636580A (en) | Health monitoring mobile phone based on human face | |
| Huan et al. | Deep convolutional neural networks for classifying body constitution based on face image | |
| CN106821324A (en) | A kind of lingual diagnosis auxiliary medical system based on lingual surface and sublingual comprehensive analysis | |
| CN111951965B (en) | Panoramic health dynamic monitoring and predicting system based on time sequence knowledge graph | |
| CN106725295A (en) | A kind of miniature check-up equipment, device and its application method | |
| CN109350009A (en) | A kind of health monitoring mobile phone based on face | |
| CN115714022A (en) | Neonatal jaundice health management system based on artificial intelligence | |
| CN115024725A (en) | Tumor treatment aid decision-making system integrating psychological state multi-parameter detection | |
| Mohanarathinam et al. | Diabetic Retinopathy Detection and Classification using Hybrid Multiclass SVM classifier and Deeplearning techniques | |
| CN110495888A (en) | It is a kind of based on Chinese medicine tongue, the standard color card of face image and its application | |
| CN111329467A (en) | Heart disease auxiliary detection method based on artificial intelligence | |
| CN109711306B (en) | Method and equipment for obtaining facial features based on deep convolutional neural network | |
| CN111613321A (en) | Electrocardiogram stroke auxiliary diagnosis method based on dense convolutional neural network | |
| CN116230198A (en) | Multidimensional Tibetan medicine AI intelligent auxiliary decision-making device and system | |
| Bidaki et al. | Lesion area assessment in psoriasis patients | |
| CN113273959B (en) | Portable diabetic retinopathy diagnosis and treatment instrument | |
| CN113990490A (en) | Traumatic blood loss shock patient data medical system | |
| WO2019092723A1 (en) | System and method for determining pathological status of a laryngopharyngeal area in a patient | |
| CN113593702A (en) | Pet health early-warning diagnosis and treatment system | |
| Wu et al. | Using Artificial Intelligence for the Early Detection of Micro-Progression of Pressure Injuries in Hospitalized Patients: A Preliminary Nursing Perspective Evaluation | |
| Mahmud et al. | Anemia detection through non-invasive analysis of lip mucosa images | |
| KR20080109425A (en) | Methods and system for extracting facial features and verifying sasang constitution through image recognition |
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 | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190219 |