CN106485077B - A kind of supervision place medical monitoring systems - Google Patents
A kind of supervision place medical monitoring systems Download PDFInfo
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- CN106485077B CN106485077B CN201610890750.XA CN201610890750A CN106485077B CN 106485077 B CN106485077 B CN 106485077B CN 201610890750 A CN201610890750 A CN 201610890750A CN 106485077 B CN106485077 B CN 106485077B
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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
- G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
- G16H40/60—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
- G16H40/63—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for local operation
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Abstract
The invention discloses a kind of supervision place medical monitoring systems, including locator, signal receiver and monitoring center, the locator is intended to be worn in user and sends ultra-wideband pulse signal in real time；The signal receiver for receive the ultra-wideband pulse signal and upload receive the ultra-wideband pulse signal at the time of；The monitoring center is connect with signal receiver, at the time of for according to preset location algorithm and the ultra-wideband pulse signal, is positioned the locator, when the locator is positioned in medical area, is generated the medical information of the locator.Invention enhances the stability of positioning, improve the collecting efficiency of medical information, while improving the real-time and comprehensive of monitoring medical treatment, to be conducive to grasp the medical conditions of supervision place personnel.
Description
Technical field
The present invention relates to supervision place management domains, and in particular to a kind of supervision place medical monitoring systems.
Background technique
Supervision place management system in the related technology can not carry out high accuracy positioning, positioning to supervision place personnel surely
Qualitative deficiency causes to be difficult to determine the supervision place personnel for entering medical area, and needs to acquire supervision place personnel's manually
Medical information reduces the collecting efficiency of medical information, is unfavorable for grasping the medical conditions of supervision place personnel.
Summary of the invention
In view of the above-mentioned problems, the present invention is intended to provide a kind of supervision place medical monitoring systems.
The purpose of the present invention is realized using following technical scheme:
A kind of supervision place medical monitoring systems, including locator, signal receiver and monitoring center, the locator are used
In be worn on user and in real time send ultra-wideband pulse signal；The signal receiver is for receiving the ultra-wideband pulse
Signal simultaneously uploads at the time of receive the ultra-wideband pulse signal；The monitoring center is connect with signal receiver, is used for root
At the time of according to preset location algorithm and the ultra-wideband pulse signal, the locator is positioned, when the locator is positioned
In medical area, the medical information of the locator is generated.
The invention has the benefit that being carried out using ultra-wideband wireless communication technique to the locator being worn on user
High accuracy positioning, and then high accuracy positioning is carried out to the supervision place personnel of wearing locator, enhance the stability of positioning；?
Under the premise of locator is not fallen off, it can determine that supervision place personnel enter medical area, when locator is positioned in Medical Treatment Area
When domain, the medical information of user equipment is produced, the medical information of automatic collection supervision place personnel improves medical information
Collecting efficiency, while the real-time and comprehensive of monitoring medical treatment is improved, to be conducive to grasp the medical treatment of supervision place personnel
Situation.
Detailed description of the invention
The present invention will be further described with reference to the accompanying drawings, but the embodiment in attached drawing is not constituted to any limit of the invention
System, for those of ordinary skill in the art, without creative efforts, can also obtain according to the following drawings
Other attached drawings.
Fig. 1 is structure connection diagram of the invention；
Fig. 2 is the structure connection diagram of present invention concealment article detection apparatus.
Appended drawing reference:
Locator 1, signal receiver 2, monitoring center 3, concealment article detection apparatus 4, scan module 11, image procossing mould
Block 12, background subtraction module 13, human region detection module 14, concealment Articles detecting module 15.
Specific embodiment
The invention will be further described with the following Examples.
Referring to Fig. 1, Fig. 2, a kind of supervision place medical monitoring systems of the present embodiment, including locator 1, signal receiver
2 and monitoring center 3, the locator 1 is intended to be worn in user and transmission ultra-wideband pulse signal in real time；The signal connects
Receive device 2 for receive the ultra-wideband pulse signal and upload receive the ultra-wideband pulse signal at the time of；The monitoring
Center 3 is connect with signal receiver 2, at the time of for according to preset location algorithm and the ultra-wideband pulse signal, positioning
The locator 1 generates the medical information of the locator 1 when the locator 1 is positioned in medical area.
Preferably, the signal receiver 2 is 3.
Preferably, pass through interconnected with wireless network between the signal receiver 2.
The above embodiment of the present invention carries out height to the locator 1 being worn on user using ultra-wideband wireless communication technique
Precision positioning, and then high accuracy positioning is carried out to supervision place personnel, enhance the stability of positioning；It is not fallen off in locator 1
Under the premise of, it can determine that supervision place personnel enter medical area, when locator 1 is positioned in medical area, produce
The medical information of user equipment, the medical information of automatic collection supervision place personnel, improves the collecting efficiency of medical information, together
When improve the real-time and comprehensive of monitoring medical treatment, to be conducive to grasp the medical conditions of supervision place personnel.
Preferably, the supervision place medical monitoring systems further include concealment article detection apparatus 4, the concealment article inspection
It surveys device 4 and connects monitoring center 3, whether have and violate the rules with the supervision place personnel for detect wearing locator 1
Article is hidden, the concealment article detection apparatus 4 includes:
(1) scan module 11 obtain original passive millimeter wave image for carrying out millimeter wave scanning to supervision place personnel；
(2) image processing module 12 obtain target image for carrying out processing to the original passive millimeter wave image；
(3) human region detection module 14 passes through the anticipation that whether there is to human body for being based on the target image
It is disconnected, human region detection is carried out, human region is obtained；
(4) Articles detecting module 15 is hidden, is used in the human region, using Canny boundary operator and confidence area
Between the method for mixing segmentation that combines, concealment article is detected, and the concealment article region detected is marked；
(5) item identification module is hidden, for identifying to concealment article.
This preferred embodiment devises the module architectures of concealment article detection apparatus 4, realizes concealment article detection apparatus 4
Detection to dangerous goods.
Preferably, described image processing module 12 includes:
(1) binarization unit obtains binary image, packet for carrying out binaryzation to the original passive millimeter wave image
It includes: the original passive millimeter wave image is subjected to smooth area P1, transition region P2With marginal zone P3Region division, use flat
Measurement of the square singular value as region energy, and definition region divides formula are as follows:
Wherein, v (i) is the observation in original passive millimeter wave image at pixel i, and Q (i) is corresponding original passive milli
Square singular value in metric wave image at pixel i,For the mean value of square singular value；
For smooth area P1, given threshold T1, T1For smooth area P1The average value of all pixels gray value, by smooth area P1's
Each grey scale pixel value and threshold value T1It is compared, if more than T1, then value is 255, and otherwise value is 0；For transition region P2With
Marginal zone P3, transition region P2With marginal zone P3In (2a+1) x (2a+1) window centered on each pixel i, a ∈ [1,3], respectively
Pixel threshold value T2(i) be defined as maximum gradation value and minimum gradation value in the pixel window and half, by transition region P2The side and
Edge area P3Each grey scale pixel value and respective threshold T2(i) compare, if more than T2(i), then value is 255, and otherwise value is 0；
(2) pretreatment unit tentatively denoises image for carrying out surely picture and denoising to binary image to obtain,
Include:
A, image is surely as subelement, for eliminating people during exercise caused by flating, comprising:
(1) when carrying out millimeter wave scanning to checked object, first frame image is selected as reference frame, reference frame is divided into
Three regions 1,2,3, K expression picture traverse are not overlapped, G indicates picture altitude, according to side clockwise since image upper left
To region 1,2,3 is followed successively by, the size in region 1,2 is 0.5K × 0.5G, and the size in region 3 is K × 0.5G；
(2) the image center location selection area A arrived in next frame scan0, A0Size be chosen to be 0.5K × 0.5G, press
According to step1 method by A0It is divided into three image subblock A1、A2、A3, A1And A2For estimating the local motion in vertical direction
Vector, A3For estimating the local motion vector in horizontal direction, A is enabled1、A2、A3It is searched most in 1,2,3 three region respectively
Then good matching carries out inverse motion compensation to estimate the global motion vector of image sequence, it is fuzzy to eliminate image；
B, subregion denoises subelement, for smooth area P1, transition region P2With marginal zone P3Denoising is carried out respectively, if
Smooth area P1, transition region P2With marginal zone P3Denoising estimation be respectively G1(i)、G2(i) and G3(i), the denoising estimation in each region
Calculation formula be respectively as follows:
In formula, N1For the total number of pixels of smooth area, V (j) is smooth area P1Gray value at point j, s1V (i) is to pass through
The smooth area mean value at pixel i extracted after mean filter processing, s1V (j) is to mention after being handled by mean filter
Smooth area mean value at the pixel j of taking-up；V (j) indicates marginal zone P3In all pixel,For normaliztion constant, d is
Marginal zone P3The Gauss weighted euclidean distance of the annular feature vector of middle pixel i and pixel j, γ are the mark of gaussian kernel function
Quasi- poor, μ is marginal zone P3The standard deviation of middle noise,And
C, subelement is denoised again, and connection subregion denoises subelement, for using the full change based on division Bregman iteration
Point Denoising Algorithm is to by subregion denoising subelement, treated that passive millimeter wave image is further denoised, to further go
Except the white Gaussian noise in passive millimeter wave image.
Image surely picture subelement, flating caused by capable of eliminating people during exercise is arranged in this preferred embodiment；Two-value
Change in unit, the method combined using global threshold binaryzation and local threshold binarization is obtained under the premise of guaranteeing speed
Good effect；Passive millimeter wave image is made of the smooth image block of a small amount of approximate piecemeal, includes a large amount of redundancy letter
Breath is arranged pretreatment unit, passive millimeter wave image is divided into smooth area, mistake using singular value decomposition according to this feature
Area and marginal zone are crossed, and subelement is denoised according to the respective feature setting subregion in these three types of regions, for smooth area, transition region
Denoising is carried out respectively with marginal zone, more compared with the concentration Image denoising algorithm of mainstream, can be obtained higher at present
BRISQUE improves the speed of calculating, and can obviously inhibit the influence of scan line noise and white Gaussian noise；Using again
Secondary denoising subelement denoises subelement in conjunction with subregion, further removes the white Gaussian noise in passive millimeter wave image, and raising is gone
It makes an uproar effect.
Preferably, the concealment Articles detecting module 15 selects suitable threshold value T when carrying out mixing segmentationyTo described
Target image carries out threshold process, and the confidence interval indicates the tonal range of concealment article edge distribution, wherein including target
The global confidence interval at all edges of image is [int ((Vl+Vh)/2),Vh], wherein int () is to be rounded operator, VlFor entire mesh
The lower bound of the minimum gradation value of the marginal point of logo image, VhFor the upper bound of the maximum gradation value of the marginal point of entire target image；
When calculating the confidence interval of each concealment article, using from Vl+ 1 starts point-by-point increased threshold value TgTarget image is divided
It cuts, until threshold value Tg=VhStop segmentation when -1, when occurring a new isolated area in prospect, defining corresponding position has
Another concealment article, hides the confidence interval of article is defined as: Pz=[(Tg+Vh)/2,Vh], it is extracted using boundary operator hidden
Boundary curve in the confidence interval of article of hideing, defining the region for being included in boundary curve is Pc, finally obtained concealment object
The Accurate Segmentation region P of productyAre as follows:
In formula,For by lesser threshold value Ty=(Tg+VhThe region that)/2 pair target image is split.
The method for the mixing segmentation that this preferred embodiment is combined using Canny boundary operator and confidence interval is realized to hidden
It hides the segmentation of article, improves the speed and precision of segmentation.
Preferably, the human region detection module 14 can shield privacy places of human body, specifically include:
(1) judged by gender of the face recognition to personnel, different privacy places are determined according to gender difference, drawn
Determine privacy area；
(2) Fuzzy Processing is carried out to determining privacy area, image is fuzzy with the following method:
For privacy area any point (x, y), using functionDetermine the 5 × 5 of (x, y)
The value weight of neighborhood point carries out neighborhood weighted average to the point, the fuzzy value of the point is obtained, to reach blur effect.
This preferred embodiment makes detection more humanized.
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 (3)
1. a kind of supervision place medical monitoring systems, it is characterized in that: including locator, signal receiver and monitoring center, it is described
Locator is intended to be worn in user and sends ultra-wideband pulse signal in real time；The signal receiver is described super for receiving
Wideband pulse signal simultaneously uploads at the time of receive the ultra-wideband pulse signal；The monitoring center and signal receiver connect
It connects, at the time of for according to preset location algorithm and the ultra-wideband pulse signal, the locator is positioned, when the positioning
When device is positioned in medical area, the medical information of the locator is generated；It further include concealment article detection apparatus, the concealment
Whether article detection apparatus connects monitoring center, have and violate the rules with the supervision place personnel for detecting wearing locator
Concealment article, the concealment article detection apparatus includes:
(1) scan module obtains original passive millimeter wave image for carrying out millimeter wave scanning to supervision place personnel；
(2) image processing module obtains target image for carrying out processing to the original passive millimeter wave image；
(3) human region detection module, by the pre- judgement that whether there is to human body, is carried out for being based on the target image
Human region detection, obtains human region；
(4) Articles detecting module is hidden, for being combined in the human region using Canny boundary operator and confidence interval
Mixing segmentation method, concealment article is detected, and the concealment article region detected is marked；
(5) item identification module is hidden, for identifying to concealment article；
Wherein, described image processing module includes:
(1) binarization unit obtains binary image for carrying out binaryzation to the original passive millimeter wave image, wherein two
The original passive millimeter wave image is first subjected to smooth area P before value processing1, transition region P2With marginal zone P3Region division；
(2) pretreatment unit, for carrying out surely picture and denoising to binary image to obtain preliminary denoising image, packet
It includes:
A, image is surely as subelement, for eliminating people during exercise caused by flating, comprising:
(1) when carrying out millimeter wave scanning to checked object, first frame image is selected as reference frame, reference frame is divided into mutually not
Be overlapped three regions 1,2,3, K indicate that picture traverse, G indicate picture altitude, since image upper left according to clockwise direction according to
Secondary is region 1,2,3, and the size in region 1,2 is 0.5K × 0.5G, and the size in region 3 is K × 0.5G；
(2) the image center location selection area A arrived in next frame scan0, A0Size be chosen to be 0.5K × 0.5G, according to
The method of step1 is by A0It is divided into three image subblock A1、A2、A3, A1And A2For estimate the local motion in vertical direction to
Amount, A3For estimating the local motion vector in horizontal direction, A is enabled1、A2、A3It is searched in 1,2,3 three region respectively best
Then matching carries out inverse motion compensation to estimate the global motion vector of image sequence, it is fuzzy to eliminate image；
B, subregion denoises subelement, for smooth area P1, transition region P2With marginal zone P3Denoising is carried out respectively；
C, subelement is denoised again, and connection subregion denoises subelement, for going using the full variation based on division Bregman iteration
Algorithm make an uproar to by subregion denoising subelement, treated that passive millimeter wave image is further denoised, to further remove quilt
White Gaussian noise in dynamic millimeter-wave image.
2. a kind of supervision place medical monitoring systems according to claim 1, it is characterized in that: the signal receiver is 3
It is a.
3. a kind of supervision place medical monitoring systems according to claim 2, it is characterized in that: between the signal receiver
Pass through interconnected with wireless network.
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