CN106446593B - A kind of intelligent medical nursing system - Google Patents
A kind of intelligent medical nursing system Download PDFInfo
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- CN106446593B CN106446593B CN201611099771.6A CN201611099771A CN106446593B CN 106446593 B CN106446593 B CN 106446593B CN 201611099771 A CN201611099771 A CN 201611099771A CN 106446593 B CN106446593 B CN 106446593B
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- G06F19/324—
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- G06F19/3418—
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
- G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
Abstract
The present invention provides a kind of intelligent medical nursing systems, including medical data acquisition transmission subsystem, handheld medical terminal and database management subsystem；The medical data acquisition transmission subsystem and the handheld medical terminal communicate to connect, for acquiring patient identity and illness information and being sent to handheld medical terminal；The database management subsystem is used for doctor and relevant staff, and the nurse for possessing handheld medical terminal sends the patient identity received and illness information in database management subsystem in time.The present invention realizes the acquisition to the illness information for the patient being not easy in hospital, enable nurse in time the state of an illness of patient feedback to doctor that, so that patient is obtained timely treatment, improve medical efficiency.
Description
Technical field
The invention is related to medical care, and in particular to a kind of intelligent medical nursing system.
Background technique
In the related technology, a nurse usually manages the patient in multiple wards, and nurse needs in time that the state of an illness of patient is anti-
Be fed to doctor that, so that patient can obtain timely treatment, it is therefore desirable to arrange patient to be hospitalized, this is for being not easy to patient in hospital
It is a problem.
Summary of the invention
To solve the above problems, the present invention provides a kind of intelligent medical nursing system.
The purpose of the invention is achieved through the following technical solutions:
A kind of intelligent medical nursing system, including medical data acquisition transmission subsystem, handheld medical terminal and patient's number
According to library management subsystem；The medical data acquisition transmission subsystem and the handheld medical terminal communicate to connect, for acquiring
Patient identity and illness information are simultaneously sent to handheld medical terminal；The database management subsystem is for doctor and related work
Make personnel's use, the patient identity received and illness information are sent patient's number in time by the nurse for possessing handheld medical terminal
According in the management subsystem of library.
The invention the utility model has the advantages that realize the acquisition to the illness information for the patient being not easy in hospital, make nurse
Can in time the state of an illness of patient feedback to doctor that, so that patient is obtained timely treatment, improve medical efficiency.
Detailed description of the invention
Innovation and creation are described further using attached drawing, but the embodiment in attached drawing does not constitute and appoints to the invention
What is limited, for those of ordinary skill in the art, without creative efforts, can also be according to the following drawings
Obtain other attached drawings.
Fig. 1 is schematic structural view of the invention；
Fig. 2 is the structural schematic diagram of illness image collecting device.
Appended drawing reference:
Medical data acquisition transmits subsystem 1, handheld medical terminal 2, database management subsystem 3, patient image
Data acquisition unit 21, image preprocessing and encryption unit 22, image transmission unit 23.
Specific embodiment
The invention will be further described with the following Examples.
Referring to Fig. 1, Fig. 2, a kind of intelligent medical nursing system of the present embodiment, including medical data acquisition transmit subsystem
1, handheld medical terminal 2 and database management subsystem 3；The medical data acquisition transmission subsystem 1 is held with described
Medical terminal 2 communicates to connect, for acquiring patient identity and illness information and being sent to handheld medical terminal 2；Patient's number
It is used according to library management subsystem 3 for doctor and relevant staff, possesses the patient that the nurse of handheld medical terminal 2 will receive
Identity and illness information are sent in time in database management subsystem 3.
Preferably, the medical data acquisition transmission subsystem 1 includes illness image collecting device, and the illness image is adopted
Acquisition means are for acquiring the image comprising patient's information.
Preferably, the database management subsystem 3 includes patient basis's registration unit, vital sign patient
Information query unit, remote interrogation unit and doctor's advice edit cell.
The above embodiment of the present invention realizes the acquisition to the illness information for the patient being not easy in hospital, enable nurse and
When the state of an illness of patient feedback to doctor that, so that patient is obtained timely treatment, improve medical efficiency.
Preferably, the illness image collecting device includes patient image data acquisition unit 21, image preprocessing and adds
Close unit 22, image transmission unit 23, handheld medical terminal 2 are provided with image decryption unit；Described image pretreatment and encryption
Unit 22 is connect with the receiving end of image transmission unit 23, the transmission end of described image decryption unit and image transmission unit 23 without
Line connection.
The patient image data acquisition unit 21 is used for through calibrated video camera to including patient's information
Image data carries out camera shooting acquisition, and the calibrated video camera is the video camera for having carried out calibration processing, the mark of video camera
Surely include:
(1) use chessboard as camera calibration with reference to figure；
(2) Image Acquisition is carried out to chessboard using video camera, to obtain checkerboard image, when acquisition as far as possible
Chessboard is allowed to occupy picture as much as possible, the quantity of the checkerboard image of acquisition is more than or equal to 10；
(3) checker size is inputted, chessboard angle point search window grid size is set, window grid is less than chessboard
Grid size extracts the angle point of all grids on chessboard in checkerboard image；
(4) video camera is demarcated using matlab calibration tool case, according to the angle point of acquirement, runs program and taken the photograph
The parameter of camera completes calibration.
This preferred embodiment carries out camera shooting to the image data comprising patient's information by calibrated video camera and adopts
Collection, can more accurately obtain the image data comprising patient's information, to enable a physician to more accurately obtain patient
State of an illness information.
Preferably, described image pretreatment and encryption unit 22 are used for the image to be encrypted comprising patient's information
Image preprocessing is carried out, and the image after image preprocessing is encrypted；
The image to be encrypted comprising patient's information carries out image preprocessing, comprising:
(1) image to be encrypted comprising patient's information is carried out at gray processing according to following gray processing processing formula
Reason:
Under sunshine condition:
Under light conditions:
Under low light condition:
γ=max (r, g, b)
In above formula, sunshine condition refers to that shooting condition is normal daytime, and light conditions refer to that shooting condition is after the sun sets
Indoor light condition, low light condition refer to that shooting condition is not turned on light to be indoor at night, and γ be the grey scale pixel value of image after handling, r,
G, b respectively indicates the red, green, blue component of image slices vegetarian refreshments；
(2) enhancing processing is carried out to image, comprising:
1) gray value of the image by gray processing processing is subjected to enhancing processing according to the following formula:
γ '=ln γ
2) the gray-scale relation M of eight pixels in any pixel (i, j) and neighborhood is calculated,
μ, ν cannot be simultaneously for 0 by being somebody's turn to do
Gray-scale relation is corrected initial gray value, the gray value Ψ (i, j) after being corrected are as follows:
This preferred embodiment carries out gray proces to image according to different illumination conditions, reduces calculation amount, ensure that
The brightness of image under low light condition carries out enhancing processing to image, improves picture quality, to further obtain relatively clear
The image comprising patient's information.
The image to be encrypted comprising patient's information carries out image preprocessing, further includes:
(1) image after gray level correction is distinguished according to image request degree, determine the high image of image request and
The lower image of image request, and mark；
(2) carry out image preprocessing to the image after gray level correction: progress three-level wavelet decomposition first extracts gray value
Then the three-level wavelet decomposition low-frequency approximation component of image after correction carries out low-frequency image using following chaotic maps formula
Position disorder processing:
In formula, Φ 1 is low-frequency image information, η1、η2、η3For three variables generated by chaotic maps；
To adapt to numberical range required by digital picture, to η1、η2、η3Handled according to the following formula, thus by they
Value is mapped between 0-255, generates chaos sequence E, R, and be further mapped as image array:
E=[500* (η1+η2)]mod256
R=[500* (η1+η3)]mod256
(3) image to be encrypted is determined: image lower for image request, using pretreated image as to be encrypted
Image；Image higher for image request carries out image reconstruction using wavelet inverse transformation to pretreated image, with reconstruct
Image afterwards is as image to be encrypted；
The image to after image preprocessing encrypts, comprising:
(1) S is used1It indicates image to be encrypted, executes add operation with chaos sequence E in finite field respectively and multiplication is transported
It calculates, obtains new image S2, then by image S2It operates to obtain new image S using transposition3, in which:
S2=(EE) ⊕ (S1E)
In formula, " ⊕ " indicates the addition of finite field, and " " indicates the multiplication in finite field；
(2) by image S3The adduction in finite field is executed with chaos sequence R and multiplies operation, obtains final image S:
S=(RR) ⊕ (RS3)
This preferred embodiment carries out image preprocessing to image using wavelet transformation, eliminates the redundancy of image itself,
It realizes quick scramble, required chaos sequence can be reduced, improve encryption efficiency, meet the requirement of real time communication；According to image
It is required that height carry out image differentiation, the image high for image request first carry out image preprocessing and carry out wavelet inverse transformation again
Image reconstruction process, it is ensured that the rate of scramble is improved while lossless；When encryption, by the radix-2 algorithm and chaos of finite field
Encryption technology is combined, and while having ensured the safety of image encryption, compared with the existing technology, improves image encryption
Speed realizes securely transmitting for the image comprising patient's information.
Preferably, for the decryption unit for encrypted image to be decrypted, use is identical with image preprocessing mixed
Ignorant mapping equation and corresponding chaos sequence carry out inverse conversion to ciphering process, to realize the decryption of image.
This preferred embodiment realizes the reading of the image comprising patient's information of 2 pairs of handheld medical terminal encryptions,
Handheld medical terminal 2 is further improved to the speed of the image real time transfer comprising patient's information, to further mention
The high efficiency of medical treatment and nursing.
Based on the above embodiment, inventor has carried out a series of tests, is the experimental data tested below:
Finally it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than the present invention is protected
The limitation of range is protected, although explaining in detail referring to preferred embodiment to the present invention, those skilled in the art are answered
Work as understanding, it can be with modification or equivalent replacement of the technical solution of the present invention are made, without departing from the reality of technical solution of the present invention
Matter and range.
Claims (2)
1. a kind of intelligent medical nursing system, characterized in that including medical data acquisition transmission subsystem, handheld medical terminal and
Database management subsystem；The medical data acquisition transmission subsystem and the handheld medical terminal communicate to connect, and use
In acquisition patient identity and illness information and it is sent to handheld medical terminal；The database management subsystem for doctor and
Relevant staff uses, and the nurse for possessing handheld medical terminal sends the patient identity received and illness information in time
In database management subsystem；The medical data acquisition transmission subsystem includes illness image collecting device, the trouble
Sick image collecting device is for acquiring the image comprising patient's information；The database management subsystem includes patient
Essential information registration unit, patient vital sign information's query unit, remote interrogation unit and doctor's advice edit cell；The illness
Image collecting device includes patient image data acquisition unit, image preprocessing and encryption unit, image transmission unit, holds doctor
It treats terminal and is provided with image decryption unit；The receiving end of described image pretreatment and encryption unit and image transmission unit connects,
The transmission end of described image decryption unit and image transmission unit is wirelessly connected；Described image pretreatment and encryption unit for pair
Image to be encrypted comprising patient's information carries out image preprocessing, and encrypts to the image after image preprocessing；
Wherein, the image to be encrypted comprising patient's information carries out image preprocessing, comprising:
(1) gray processing processing is carried out to the image to be encrypted comprising patient's information according to following gray processing processing formula:
Under sunshine condition:
Under light conditions:
Under low light condition:
γ=max (r, g, b)
In above formula, sunshine condition refers to that shooting condition is normal daytime, and light conditions refer to that shooting condition is that the sun sets in rear chamber
Light conditions, low light condition refer to that shooting condition is not turned on light to be indoor at night, and γ is the grey scale pixel value of image after processing, r, g, b
Respectively indicate the red, green, blue component of image slices vegetarian refreshments；
(2) enhancing processing is carried out to image, comprising:
1) gray value of the image by gray processing processing is subjected to enhancing processing according to the following formula:
γ '=ln γ
2) the gray-scale relation M of eight pixels in any pixel (i, j) and neighborhood is calculated,
μ, ν cannot be 0 simultaneously
Initial gray value is corrected by the gray-scale relation, the gray value Ψ (i, j) after being corrected are as follows:
The image to be encrypted comprising patient's information carries out image preprocessing, further includes:
(1) image after gray level correction is distinguished according to image request degree, determines image request high image and image
It is required that lower image, and mark；
(2) carry out image preprocessing to the image after gray level correction: progress three-level wavelet decomposition first extracts gray level correction
Then the three-level wavelet decomposition low-frequency approximation component of image afterwards carries out position to low-frequency image using following chaotic maps formula
Disorder processing:
In formula, Φ 1 is low-frequency image information, η1、η2、η3For three variables generated by chaotic maps；
To adapt to numberical range required by digital picture, to η1、η2、η3It is handled according to the following formula, so that their value be reflected
It is mapped between 0-255, generates chaos sequence E, R, and be further mapped as image array:
E=[500* (η1+η2)]mod256
R=[500* (η1+η3)]mod256
(3) image to be encrypted is determined: image lower for image request, using pretreated image as figure to be encrypted
Picture；Image higher for image request carries out image reconstruction using wavelet inverse transformation to pretreated image, after reconstruct
Image as image to be encrypted.
2. a kind of intelligent medical nursing system according to claim 1, characterized in that the patient image data acquisition is single
Member is described calibrated for carrying out camera shooting acquisition to the image data comprising patient's information by calibrated video camera
Video camera is the video camera for having carried out calibration processing.
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| CN104835017A (en) * | 2015-06-01 | 2015-08-12 | 南京理工大学紫金学院 | Intelligent medical nursing system |
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| US20060052676A1 (en) * | 2004-09-07 | 2006-03-09 | Yulun Wang | Tele-presence system that allows for remote monitoring/observation and review of a patient and their medical records |
| CN101664341A (en) * | 2009-06-16 | 2010-03-10 | 大连理工大学 | Remote intelligent family medical insurance method |
| CN101984666A (en) * | 2010-11-19 | 2011-03-09 | 南京邮电大学 | Image lossless compression and decompression method based on lifting wavelet transform |
| CN204496497U (en) * | 2015-01-24 | 2015-07-22 | 无锡桑尼安科技有限公司 | For the robot system of ward data acquisition |
| CN104933297A (en) * | 2015-05-29 | 2015-09-23 | 百度在线网络技术（北京）有限公司 | Method and device for providing therapeutic recommendation information for user |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102231172A (en) * | 2011-06-10 | 2011-11-02 | 王坦 | Remote medical information acquisition system |
| CN104835017A (en) * | 2015-06-01 | 2015-08-12 | 南京理工大学紫金学院 | Intelligent medical nursing system |
Non-Patent Citations (1)
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| 复杂光照条件下的通用车牌定位系统的研究与实现;刘攀;《中国优秀硕士学位论文全文数据库工程科技Ⅱ辑》;20131215(第S2期);论文正文第17-55页 |
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Effective date of registration: 20190410 Address after: 100000 Beijing Haidian District, Zhongguancun Street, No. 11, 9 Floor 983-1 Applicant after: Beijing Vertical and Horizontal Wushuang Technology Co., Ltd. Address before: 518000 Hai Wang building 708, 2225 Nanhai Road, Nanshan District, Shenzhen, Guangdong Applicant before: Shenzhen Kaida Photoelectric Technology Co. Ltd. |
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