CN106333742A - Nail taking device for orthopedic department - Google Patents
Nail taking device for orthopedic department Download PDFInfo
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- CN106333742A CN106333742A CN201610910830.7A CN201610910830A CN106333742A CN 106333742 A CN106333742 A CN 106333742A CN 201610910830 A CN201610910830 A CN 201610910830A CN 106333742 A CN106333742 A CN 106333742A
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- 230000000399 orthopedic effect Effects 0.000 title abstract description 4
- 238000000034 method Methods 0.000 claims abstract description 41
- 230000008569 process Effects 0.000 claims abstract description 25
- 238000004659 sterilization and disinfection Methods 0.000 claims abstract description 15
- 210000000988 bone and bone Anatomy 0.000 claims abstract description 7
- 238000013461 design Methods 0.000 claims abstract description 6
- 230000005855 radiation Effects 0.000 claims description 26
- 238000005457 optimization Methods 0.000 claims description 25
- 239000011159 matrix material Substances 0.000 claims description 21
- 238000012545 processing Methods 0.000 claims description 12
- 238000012544 monitoring process Methods 0.000 claims description 10
- 230000001954 sterilising effect Effects 0.000 claims description 10
- 230000006870 function Effects 0.000 claims description 9
- 230000009467 reduction Effects 0.000 claims description 9
- 238000000354 decomposition reaction Methods 0.000 claims description 8
- 230000009466 transformation Effects 0.000 claims description 8
- 238000005070 sampling Methods 0.000 claims description 6
- 238000004891 communication Methods 0.000 claims description 5
- 238000013016 damping Methods 0.000 claims description 5
- 230000008859 change Effects 0.000 claims description 4
- 238000006243 chemical reaction Methods 0.000 claims description 4
- 108010076504 Protein Sorting Signals Proteins 0.000 claims description 3
- 238000004364 calculation method Methods 0.000 claims description 3
- 230000006835 compression Effects 0.000 claims description 3
- 238000007906 compression Methods 0.000 claims description 3
- 239000000470 constituent Substances 0.000 claims description 3
- 238000010586 diagram Methods 0.000 claims description 3
- 238000001914 filtration Methods 0.000 claims description 3
- 238000013139 quantization Methods 0.000 claims description 3
- 230000004044 response Effects 0.000 claims description 3
- 238000007493 shaping process Methods 0.000 claims description 3
- 230000017105 transposition Effects 0.000 claims description 3
- 238000010276 construction Methods 0.000 claims 1
- 230000002262 irrigation Effects 0.000 claims 1
- 238000003973 irrigation Methods 0.000 claims 1
- 238000002474 experimental method Methods 0.000 abstract description 6
- 206010048038 Wound infection Diseases 0.000 abstract description 5
- 230000000087 stabilizing effect Effects 0.000 abstract 3
- 230000000249 desinfective effect Effects 0.000 abstract 1
- 239000003814 drug Substances 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 239000007787 solid Substances 0.000 description 3
- 206010061363 Skeletal injury Diseases 0.000 description 2
- 230000006378 damage Effects 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000003384 imaging method Methods 0.000 description 2
- 239000000203 mixture Substances 0.000 description 2
- 230000001737 promoting effect Effects 0.000 description 2
- 238000010408 sweeping Methods 0.000 description 2
- 206010020649 Hyperkeratosis Diseases 0.000 description 1
- 206010067268 Post procedural infection Diseases 0.000 description 1
- 208000027418 Wounds and injury Diseases 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 239000011230 binding agent Substances 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
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- 238000003759 clinical diagnosis Methods 0.000 description 1
- 238000002591 computed tomography Methods 0.000 description 1
- 238000002059 diagnostic imaging Methods 0.000 description 1
- 201000010099 disease Diseases 0.000 description 1
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 1
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Classifications
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B17/00—Surgical instruments, devices or methods, e.g. tourniquets
- A61B17/56—Surgical instruments or methods for treatment of bones or joints; Devices specially adapted therefor
- A61B17/58—Surgical instruments or methods for treatment of bones or joints; Devices specially adapted therefor for osteosynthesis, e.g. bone plates, screws, setting implements or the like
- A61B17/88—Osteosynthesis instruments; Methods or means for implanting or extracting internal or external fixation devices
- A61B17/92—Impactors or extractors, e.g. for removing intramedullary devices
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformations in the plane of the image
- G06T3/06—Topological mapping of higher dimensional structures onto lower dimensional surfaces
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B17/00—Surgical instruments, devices or methods, e.g. tourniquets
- A61B17/56—Surgical instruments or methods for treatment of bones or joints; Devices specially adapted therefor
- A61B2017/564—Methods for bone or joint treatment
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10072—Tomographic images
- G06T2207/10081—Computed x-ray tomography [CT]
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30004—Biomedical image processing
- G06T2207/30008—Bone
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- Health & Medical Sciences (AREA)
- Engineering & Computer Science (AREA)
- Orthopedic Medicine & Surgery (AREA)
- Surgery (AREA)
- Life Sciences & Earth Sciences (AREA)
- Medical Informatics (AREA)
- Biomedical Technology (AREA)
- Heart & Thoracic Surgery (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Molecular Biology (AREA)
- Animal Behavior & Ethology (AREA)
- General Health & Medical Sciences (AREA)
- Public Health (AREA)
- Veterinary Medicine (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Image Processing (AREA)
Abstract
The invention discloses a nail taking device for the orthopedic department. A nail taking machine is connected with an adjusting module which is used for adjusting the nail taking angle of the nail taking machine, and is connected with a fixing module, the fixing module is used for fixing the nail taking machine which is connected with a stabilizing module, the stabilizing module is used for stabilizing the nail taking machine, the nail taking machine is connected with a disinfection module which is used for disinfecting bones before and after nail taking, the nail taking machine is connected with a camera shooting module which is used for recording the nail taking process of a doctor, the nail taking machine is connected with the nail taking module which is used for taking nails in the orthopedic department. According to the nail taking device, the design is scientific and reasonable, the stability of the nail taking machine is good, the doctor can operate conveniently, the wound infection can be avoided, the safety is good, the teaching demonstration experiment can be performed conveniently, the practicability is strong, and the nail taking device is worthy of large-range promotion.
Description
Technical field
The invention belongs to orthopaedic medical treatment equipment technical field is and in particular to a kind of nail taking out apparatus in orthopaedics.
Background technology
21 century is filled with the century of opportunities and challenges, and the China of 21 century brims with life and vigor everywhere.China
Economy flourish, already become the big country having certain power of influence, living standards of the people also correspondingly have very significantly
Improve.The rhythm of life of people is accelerated, and along with the fast development of private car, vehicle accident is in a kind of ascendant trend, because handing over
Interpreter is so the number of the patient that causes injury is doubled and redoubled.
Chinese orthopedic medical device development time is not long, and the time only has 20 years about, the orthopaedic medical treatment machinery city of the nineties
Substantially belong to buyer's market, orthopedist is much looking for producer, asks producer to do products that some are suitable for, start the nineties by
Gradually there is transnational M&G, a collection of native country national enterprise of being simultaneously also born.Orthopaedics is mainly dissection, the life studying skeletal musculature
Reason and pathology, its therapeutic modality mainly has medicine, naturopathy and operative treatment, more lays particular stress in three of the above Therapeutic Method
In operative treatment, accounting is maximum.Medical apparatus and instruments can be divided into interior fixation and the two ways of outer fixation, implant according to physical structure
Interior is referred to as interior fixing main inclusion joint, blade plate, screw etc., and outer fixation is a kind of fixed form in vitro, main
External fixer to be included, clamping plate, binder, Gypsum Fibrosum etc., two ways compare main within fixing based on, two ways is provided to
Fixing fracture site promotes callus formation to fully recover as early as possible, and bone injury is constantly in high ratio, and orthopaedics takes nail as bone injury
Last link after healing, becomes particularly important, and instantly, the orthopaedics of majority hospital of China takes nail, how using taking nail manually,
Not only stability is bad, and easy postoperative infection, it has not been convenient to the technical problem such as teaching demonstration experiment, therefore, invents a kind of bone
Section's device for fetching nail, is of practical significance very much.
Computer tomography is a kind of important imaging means obtaining internal structure of body information by lossless manner, it
Have high-resolution, high sensitivity and the inferior many merits of multilamellar, be the maximum medical imaging diagnostic device of China's installation amount
One of, it is widely used in each medicinal and check field.However, needing to use x-ray due in ct scanning process, therefore
In ct scanning, the radiation dose problem of x-ray is increasingly subject to people's attention.Reasonable employment low dosage (as low as
Reasonably achievable, alara) principles and requirements, on the premise of meeting clinical diagnosises, reduce the spoke to patient as far as possible
Penetrate dosage.
The realization of traditional ct is based on x-ray source such as x ray machine and high energy acclerators, examined object body to be irradiated, and right
The detector gathered data answered, makes x-ray not by rotation translation of the swivel mount of ct system etc. etc. in scanning process
With passing through examined object body under angle, thus obtaining the light intensity data of examined object body diverse location, (namely scan data can be described as again
Data for projection), the faultage image of examined object body can be reconstructed using obtained scan data.Traditional ct system needs accurately
Ground controls the relative position of examined object body and accelerator and detector in scanning process, to meet to needed for tomographic image reconstructing
Data qualification.At present, traditional scanning and imaging method, takes longer, therefore human body is still suffered from a certain degree of radiation
Harm.
Content of the invention
It is an object of the invention to provide a kind of nail taking out apparatus in orthopaedics, to solve the problems, such as to propose in above-mentioned background technology.
For achieving the above object, the present invention provides a kind of following technical scheme: nail taking out apparatus in orthopaedics, including nail-fetching device, institute
State nail-fetching device to be connected with adjustment module, what described adjustment module was used for adjusting nail-fetching device takes nail angle, described adjustment module with solid
Cover half block connects, and described stuck-module is used for fixing nail-fetching device, and described nail-fetching device is connected with stable module, and described stable module is used
In stablizing nail-fetching device, described nail-fetching device is connected with sterilization module, and described sterilization module carries out disinfection to bone before and after being used for taking nail,
Described nail-fetching device is connected with photographing module, and what described photographing module was used for recording doctor takes nail process, described nail-fetching device with take nail
Module connects, and described takes dolly set block to take nail for orthopaedics.
Preferably, described stuck-module includes supporting module.
Preferably, described stable module includes damping and slide-prevention module.
Preferably, described nail-fetching device is connected with remote monitoring terminal signal by wireless communication module.
Preferably, described remote monitoring terminal is mobile phone or TV or computer.
Preferably, described photographing module is provided with radiation source module, ray detector module, data acquisition module, process
Device module, target image acquisition module, non-negative image collection module, decomposing module, LS-SVM sparseness module, reconstruction module, its
In, described radiation source module, ray detector module data acquisition module are all connected with described data acquisition module, described data
Acquisition module, processor module, target image acquisition module, non-negative image collection module, decomposing module and reconstruction module are successively
Connect;
Described data acquisition module, for obtaining the data for projection of radiation source module and ray detector module scanning;
Described processor module, for processing to the data message of described data collecting module collected;
Described target image acquisition module, for being iterated processing according to described data for projection, to obtain target image;
Described non-negative image collection module, for described target image is carried out with non-negative process, obtains described target image
Non- negative image;
Described decomposing module, for described non-negative image is carried out with Nonlinear decomposition, obtains main constituent image and time composition
Image;
Described LS-SVM sparseness module, for carrying out at rarefaction to the described first non-negative image and the second non-negative image
Reason, obtains the optimization sparse solution meeting predetermined condition;
Described reconstruction module, for sweeping according to described optimization sparse solution acquisition radiation source module and ray detector module
The reconstruction image retouched;
Preferably, the image rebuilding method of photographing module, comprising:
Obtain radiation source module and the data for projection of ray detector module scanning;
It is iterated processing according to described data for projection, to obtain target image;
Described target image is carried out with non-negative process, obtains the non-negative image of described target image;
Described non-negative image is carried out with Nonlinear decomposition, obtains the first non-negative image and the second non-negative image;
Described first non-negative image and described second non-negative image are carried out with LS-SVM sparseness, obtains and meet object function
Optimization sparse solution;
Radiation source module and the reconstruction image of ray detector module scanning are obtained according to described optimization sparse solution.
Preferably, also need to be fixed institute before obtaining radiation source module and the data for projection of ray detector module scanning
State radiation source module and ray detector module;
It is iterated processing according to described data for projection and included with obtaining the step of target image:
Obtain the iterative model calculating target image according to described data for projection, the formula of described iterative model is expressed as:
Wherein, x is described target image, and m is sytem matrix, and g is described data for projection, and i represents iterationses, and xi represents
The iteration result obtaining after ith iteration;λ represents convergence coefficient, and λ ∈ (0,1), and mt represents the transposition to matrix m;
The initial value of described target image is set, and utilizes described iterative model to institute according to the iterationses pre-setting
State each pixel in target image to be iterated updating, obtain described target image, the pixel in described iterative model
Current grayvalue and previous iteration gray value Uniform approximat.
Preferably, the described step carrying out non-negative process to described target image includes: by gray scale in described target image
The pixel zero setting less than 0 for the value;
The step carrying out LS-SVM sparseness to the described first non-negative image and described second non-negative image includes:
Extracting from the described first non-negative image and described second non-negative image can be with partly overlapping multiple images block;Obtain
Take the corresponding sparse coefficient of the plurality of image block;Optimization is carried out to the described first non-negative image and described second non-negative image
Solve, be met the optimization sparse solution of described object function.
Preferably, the data signal acquisition method of described data acquisition module includes:
First, echo signal x (t) is acquired within the independent sampling period with awareness apparatus, and with a/d mode pair
Signal carries out digital quantization;Then, dimensionality reduction is carried out to signal x (i) after quantifying;Finally, the signal after dimensionality reduction is reconstructed;
Wherein t is sampling instant, and i is the signal sequence after quantifying;
Signal after quantifying is carried out with dimensionality reduction, the difference by finite impulse response filter specifically to the signal after quantifying
Divide equationI=1 ..., m, wherein h (0) ..., h (l-1) is filter coefficient, and design is based on filtering
Compressed sensing signals collecting framework, construct following Teoplitz calculation matrix:
Then observeI=1 ..., m, wherein b1,…,blRegard filter coefficient as;Submatrix
φftSingular value be gram matrix g (φf, t)=φ 'ftφftThe arithmetic root of eigenvalue, all spies of checking g (φ f, t)
Value indicative λ i ∈ (1- δk,1+δk), i=1 ..., t, then φfMeet rip, and original signal reconstructed by solution optimization problem and be:
Original signal is reconstructed by linear programming method, that is, bp algorithm;
For actual compression signal, the such as collection of voice or picture signal, then change φfFor following form:
If signal has openness, by solving following l on conversion basic matrix ψ1Optimization problem, accurately weighs
Structure goes out original signal:
Wherein φ is uncorrelated to ψ, and ξ is referred to as cs matrix.
Preferably, described linear programming method is:
Nonlinear transformation is carried out to receipt signal s (t), carries out as follows:
WhereinA represents the amplitude of signal, and a (m) represents letter
Number symbol, p (t) represent shaping function, fcRepresent the carrier frequency of signal,Represent the phase place of signal, by this
Transformation matrix is obtained after nonlinear transformation:
The technique effect of the present invention and advantage: this nail taking out apparatus in orthopaedics, nail-fetching device is connected with adjustment module, can adjust and take
That follows closely device takes nail angle, facilitates doctor to carry out patient is taken nail, nail-fetching device is connected with stable module, and stable module includes damping to be prevented
Sliding formwork block, can avoid nail-fetching device during doctor takes nail to shake, thus impact takes nail effect, adjustment module with solid
Cover half block connects, and stuck-module includes supporting module, nail-fetching device can be carried out arbitrarily angled or position and be fixed, and convenient cures
Life carries out patient is taken nail, and nail-fetching device is connected with photographing module, and be easy to recording doctor takes nail process it is provided that timely teaching
Learn video, nail-fetching device is connected with remote monitoring terminal signal by wireless communication module, remote monitoring terminal is mobile phone, TV or
Computer, can allow the student enrollment of medicine take the overall process of nail in remotely direct empathic learning orthopaedics, facilitate education experiment,
Nail-fetching device is connected with sterilization module, and sterilization module carries out disinfection to bone before and after being used for taking nail, can avoid wound infection, safety
Performance is good, this invention design science rationally, the good stability of nail-fetching device, facilitate doctor's operation, wound infection, safety can be avoided
Performance is good, facilitate that teaching demonstration experiment, practicality are relatively strong, be worth promoting on a large scale.
The image rebuilding method of the present invention, by target image is carried out with non-negative process, obtains the non-negative figure of target image
Picture, then carries out Nonlinear decomposition to non-negative image, obtains the first non-negative image and the second non-negative image, finally to the first non-negative
Image and the second non-negative image carry out LS-SVM sparseness, obtain optimization sparse solution, realize image according to this optimization sparse solution
Rebuild, reduce the dimension of the image array in calculating process, improve the efficiency of image reconstruction.
The signal acceptance method of the present invention provides to the intelligentized control method of nail taking out apparatus in orthopaedics and accurate Data Control
Ensure.
Brief description
Fig. 1 is the schematic diagram of the nail taking out apparatus in orthopaedics of the present invention.
Fig. 2 is the photographing module schematic diagram of the nail taking out apparatus in orthopaedics of the present invention.
Specific embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation description is it is clear that described embodiment is only a part of embodiment of the present invention, rather than whole embodiments.It is based on
Embodiment in the present invention, it is every other that those of ordinary skill in the art are obtained under the premise of not making creative work
Embodiment, broadly falls into the scope of protection of the invention.
The invention provides a kind of nail taking out apparatus in orthopaedics as shown in Figure 1, including nail-fetching device, described nail-fetching device with adjust mould
Block connects, and what described adjustment module was used for adjusting nail-fetching device takes nail angle, and described adjustment module is connected with stuck-module, described solid
Cover half block is used for fixing nail-fetching device, and described nail-fetching device is connected with stable module, and described stable module is used for stablizing nail-fetching device, described
Nail-fetching device is connected with sterilization module, and described sterilization module carries out disinfection to bone before and after being used for taking nail, described nail-fetching device and shooting
Module connects, and what described photographing module was used for recording doctor takes nail process, and described nail-fetching device is connected with taking dolly set block, described takes nail
Module takes nail for orthopaedics, and described stuck-module includes supporting module, and described stable module includes damping and slide-prevention module, described takes
Nail device is connected with remote monitoring terminal signal by wireless communication module, and described remote monitoring terminal is mobile phone, TV or computer.
Preferably, described photographing module is provided with radiation source module, ray detector module, data acquisition module, process
Device module, target image acquisition module, non-negative image collection module, decomposing module, LS-SVM sparseness module, reconstruction module, its
In, described radiation source module, ray detector module data acquisition module are all connected with described data acquisition module, described data
Acquisition module, processor module, target image acquisition module, non-negative image collection module, decomposing module and reconstruction module are successively
Connect;
Described data acquisition module, for obtaining the data for projection of radiation source module and ray detector module scanning;
Described processor module, for processing to the data message of described data collecting module collected;
Described target image acquisition module, for being iterated processing according to described data for projection, to obtain target image;
Described non-negative image collection module, for described target image is carried out with non-negative process, obtains described target image
Non- negative image;
Described decomposing module, for described non-negative image is carried out with Nonlinear decomposition, obtains main constituent image and time composition
Image;
Described LS-SVM sparseness module, for carrying out at rarefaction to the described first non-negative image and the second non-negative image
Reason, obtains the optimization sparse solution meeting predetermined condition;
Described reconstruction module, for sweeping according to described optimization sparse solution acquisition radiation source module and ray detector module
The reconstruction image retouched;
Preferably, the image rebuilding method of photographing module, comprising:
Obtain radiation source module and the data for projection of ray detector module scanning;
It is iterated processing according to described data for projection, to obtain target image;
Described target image is carried out with non-negative process, obtains the non-negative image of described target image;
Described non-negative image is carried out with Nonlinear decomposition, obtains the first non-negative image and the second non-negative image;
Described first non-negative image and described second non-negative image are carried out with LS-SVM sparseness, obtains and meet object function
Optimization sparse solution;
Radiation source module and the reconstruction image of ray detector module scanning are obtained according to described optimization sparse solution.
Preferably, also need to be fixed institute before obtaining radiation source module and the data for projection of ray detector module scanning
State radiation source module and ray detector module;
It is iterated processing according to described data for projection and included with obtaining the step of target image:
Obtain the iterative model calculating target image according to described data for projection, the formula of described iterative model is expressed as:
Wherein, x is described target image, and m is sytem matrix, and g is described data for projection, and i represents iterationses, and xi represents
The iteration result obtaining after ith iteration;λ represents convergence coefficient, and λ ∈ (0,1), and mt represents the transposition to matrix m;
The initial value of described target image is set, and utilizes described iterative model to institute according to the iterationses pre-setting
State each pixel in target image to be iterated updating, obtain described target image, the pixel in described iterative model
Current grayvalue and previous iteration gray value Uniform approximat.
Preferably, the described step carrying out non-negative process to described target image includes: by gray scale in described target image
The pixel zero setting less than 0 for the value;
The step carrying out LS-SVM sparseness to the described first non-negative image and described second non-negative image includes:
Extracting from the described first non-negative image and described second non-negative image can be with partly overlapping multiple images block;Obtain
Take the corresponding sparse coefficient of the plurality of image block;Optimization is carried out to the described first non-negative image and described second non-negative image
Solve, be met the optimization sparse solution of described object function.
Preferably, the data signal acquisition method of described data acquisition module includes:
First, echo signal x (t) is acquired within the independent sampling period with awareness apparatus, and with a/d mode pair
Signal carries out digital quantization;Then, dimensionality reduction is carried out to signal x (i) after quantifying;Finally, the signal after dimensionality reduction is reconstructed;
Wherein t is sampling instant, and i is the signal sequence after quantifying;
Signal after quantifying is carried out with dimensionality reduction, the difference by finite impulse response filter specifically to the signal after quantifying
Divide equationI=1 ..., m, wherein h (0) ..., h (l-1) is filter coefficient, and design is based on filtering
Compressed sensing signals collecting framework, construct following Teoplitz calculation matrix:
Then observeI=1 ..., m, wherein b1,…,blRegard filter coefficient as;Submatrix
φftSingular value be gram matrix g (φf, t)=φ 'ftφftThe arithmetic root of eigenvalue, all spies of checking g (φ f, t)
Value indicative λ i ∈ (1- δk,1+δk), i=1 ..., t, then φfMeet rip, and original signal reconstructed by solution optimization problem and be:
Original signal is reconstructed by linear programming method, that is, bp algorithm;
For actual compression signal, the such as collection of voice or picture signal, then change φfFor following form:
If signal has openness, by solving following l on conversion basic matrix ψ1Optimization problem, accurately weighs
Structure goes out original signal:
Wherein φ is uncorrelated to ψ, and ξ is referred to as cs matrix.
Preferably, described linear programming method is:
Nonlinear transformation is carried out to receipt signal s (t), carries out as follows:
WhereinA represents the amplitude of signal, and a (m) represents letter
Number symbol, p (t) represent shaping function, fcRepresent the carrier frequency of signal,Represent the phase place of signal, by this
Transformation matrix is obtained after nonlinear transformation:
During work, nail-fetching device is connected with adjustment module, and can adjust nail-fetching device takes nail angle, facilitates doctor to carry out to disease
People takes nail, and nail-fetching device is connected with stable module, and stable module includes damping and slide-prevention module, can avoid taking the process of nail in doctor
Middle nail-fetching device shakes, thus impact takes nail effect, adjustment module is connected with stuck-module, and stuck-module includes a hold mode
Block, can carry out arbitrarily angled or position nail-fetching device and be fixed, facilitate doctor to carry out patient is taken nail, nail-fetching device and shooting
Module connects, and be easy to record doctor takes nail process it is provided that timely instructional video, and nail-fetching device passes through wireless communication module
Be connected with remote monitoring terminal signal, remote monitoring terminal be mobile phone or TV or computer, can allow medicine in school university
Life takes the overall process of nail in remotely direct empathic learning orthopaedics, facilitates education experiment, nail-fetching device is connected with sterilization module, mould of sterilizing
Block carries out disinfection to bone before and after being used for taking nail, can avoid wound infection, have a safety feature, this invention design science rationally,
The good stability of nail-fetching device, facilitate doctor's operation, wound infection can be avoided, have a safety feature, facilitate teaching demonstration experiment, real
With property relatively strong, be worth promoting on a large scale.
Finally it is noted that the foregoing is only the preferred embodiments of the present invention, it is not limited to the present invention,
Although being described in detail to the present invention with reference to the foregoing embodiments, for a person skilled in the art, it still may be used
To modify to the technical scheme described in foregoing embodiments, or equivalent is carried out to wherein some technical characteristics,
All any modification, equivalent substitution and improvement within the spirit and principles in the present invention, made etc., should be included in the present invention's
Within protection domain.
Claims (7)
1. a kind of nail taking out apparatus in orthopaedics, including nail-fetching device it is characterised in that described nail-fetching device is connected with adjustment module, described tune
What section module was used for adjusting nail-fetching device takes nail angle, and described adjustment module is connected with stuck-module, and described stuck-module is for consolidating
Determine nail-fetching device, described nail-fetching device is connected with stable module, described stable module is used for stablizing nail-fetching device, described nail-fetching device and sterilization
Module connects, and described sterilization module carries out disinfection to bone before and after being used for taking nail, and described nail-fetching device is connected with photographing module, described
What photographing module was used for recording doctor takes nail process, and described nail-fetching device is connected with taking dolly set block, described takes dolly set block to be used for orthopaedics
Take nail;
Described stuck-module includes supporting module.
Described stable module includes damping and slide-prevention module;
Described nail-fetching device is connected with remote monitoring terminal signal by wireless communication module;
Described remote monitoring terminal is mobile phone or TV or computer.
2. nail taking out apparatus in orthopaedics as claimed in claim 1 it is characterised in that described photographing module be provided with radiation source module,
Ray detector module, data acquisition module, processor module, target image acquisition module, non-negative image collection module, decomposition
Module, LS-SVM sparseness module, reconstruction module, wherein, described radiation source module, ray detector module data acquisition module
It is all connected with described data acquisition module, described data acquisition module, processor module, target image acquisition module, non-negative image
Acquisition module, decomposing module and reconstruction module are sequentially connected;
Described data acquisition module, for obtaining the data for projection of radiation source module and ray detector module scanning;
Described processor module, for processing to the data message of described data collecting module collected;
Described target image acquisition module, for being iterated processing according to described data for projection, to obtain target image;
Described non-negative image collection module, for described target image is carried out with non-negative process, obtains the non-of described target image
Negative image;
Described decomposing module, for described non-negative image is carried out with Nonlinear decomposition, obtains main constituent image and time component-part diagram
Picture;
Described LS-SVM sparseness module, for carrying out LS-SVM sparseness to the described first non-negative image and the second non-negative image, obtains
Take the optimization sparse solution meeting predetermined condition;
Described reconstruction module, for scan according to described optimization sparse solution acquisition radiation source module and ray detector module
Reconstruction image.
3. the nail taking out apparatus in orthopaedics as described in claim 1~2 any one is it is characterised in that the image reconstruction of photographing module
Method, comprising:
Obtain radiation source module and the data for projection of ray detector module scanning;
It is iterated processing according to described data for projection, to obtain target image;
Described target image is carried out with non-negative process, obtains the non-negative image of described target image;
Described non-negative image is carried out with Nonlinear decomposition, obtains the first non-negative image and the second non-negative image;
Described first non-negative image and described second non-negative image are carried out with LS-SVM sparseness, obtains the optimum meeting object function
Change sparse solution;
Radiation source module and the reconstruction image of ray detector module scanning are obtained according to described optimization sparse solution.
4. nail taking out apparatus in orthopaedics as claimed in claim 3 is it is characterised in that obtain radiation source module and ray detector module
Also need to be fixed described radiation source module and ray detector module before the data for projection of scanning;
It is iterated processing according to described data for projection and included with obtaining the step of target image:
Obtain the iterative model calculating target image according to described data for projection, the formula of described iterative model is expressed as:
Wherein, x is described target image, and m is sytem matrix, and g is described data for projection, and i represents iterationses, and xi represents i-th
The iteration result obtaining after secondary iteration;λ represents convergence coefficient, and λ ∈ (0,1), and mt represents the transposition to matrix m;
The initial value of described target image is set, and utilizes described iterative model to described mesh according to the iterationses pre-setting
Each pixel in logo image be iterated update, obtain described target image, the pixel in described iterative model work as
Front gray value and the gray value Uniform approximat of previous iteration.
5. nail taking out apparatus in orthopaedics as claimed in claim 3 is it is characterised in that described carry out non-negative process to described target image
Step include: by gray value in described target image be less than 0 pixel zero setting;
The step carrying out LS-SVM sparseness to the described first non-negative image and described second non-negative image includes:
Extracting from the described first non-negative image and described second non-negative image can be with partly overlapping multiple images block;Obtain institute
State the corresponding sparse coefficient of multiple images block;Described first non-negative image and described second non-negative image are carried out by optimization and ask
Solution, is met the optimization sparse solution of described object function.
6. nail taking out apparatus in orthopaedics as claimed in claim 2 is it is characterised in that the data signal acquisition of described data acquisition module
Method includes:
First, echo signal x (t) is acquired within the independent sampling period with awareness apparatus, and with a/d mode to signal
Carry out digital quantization;Then, dimensionality reduction is carried out to signal x (i) after quantifying;Finally, the signal after dimensionality reduction is reconstructed;Wherein
T is sampling instant, and i is the signal sequence after quantifying;
Signal after quantifying is carried out with dimensionality reduction, specifically the signal after quantifying is passed through with the difference side of finite impulse response filter
JourneyI=1 ..., m, wherein h (0) ..., h (l-1) is filter coefficient, the pressure based on filtering for the design
Contracting perceptual signal gathers framework, the following Teoplitz calculation matrix of construction:
Then observeI=1 ..., m, wherein b1,…,blRegard filter coefficient as;Submatrix φftStrange
Different value is gram matrix g (φf, t)=φ 'ftφftThe arithmetic root of eigenvalue, all eigenvalue λ i ∈ of checking g (φ f, t)
(1-δk,1+δk), i=1 ..., t, then φfMeet rip, and original signal reconstructed by solution optimization problem and be:
Original signal is reconstructed by linear programming method, that is, bp algorithm;
For actual compression signal, the such as collection of voice or picture signal, then change φfFor following form:
If signal has openness, by solving following l on conversion basic matrix ψ1Optimization problem, Accurate Reconstruction goes out former
Signal:
Wherein φ is uncorrelated to ψ, and ξ is referred to as cs matrix.
7. the agricultural irrigation systems based on Internet of Things as claimed in claim 6 are it is characterised in that described linear programming method
For:
Nonlinear transformation is carried out to receipt signal s (t), carries out as follows:
WhereinA represents the amplitude of signal, and a (m) represents signal
Symbol, p (t) represents shaping function, fcRepresent the carrier frequency of signal,Represent the phase place of signal, by this non-thread
Property conversion after obtain transformation matrix:
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CN110575241A (en) * | 2019-09-23 | 2019-12-17 | 河海大学常州校区 | Orthopedics nail taking device |
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