CN108852694A - A kind of neurosurgery sickbed auxiliary device - Google Patents
A kind of neurosurgery sickbed auxiliary device Download PDFInfo
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- CN108852694A CN108852694A CN201810328395.6A CN201810328395A CN108852694A CN 108852694 A CN108852694 A CN 108852694A CN 201810328395 A CN201810328395 A CN 201810328395A CN 108852694 A CN108852694 A CN 108852694A
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/01—Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
- A61B5/02055—Simultaneously evaluating both cardiovascular condition and temperature
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- 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
- A61B5/6891—Furniture
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61F—FILTERS IMPLANTABLE INTO BLOOD VESSELS; PROSTHESES; DEVICES PROVIDING PATENCY TO, OR PREVENTING COLLAPSING OF, TUBULAR STRUCTURES OF THE BODY, e.g. STENTS; ORTHOPAEDIC, NURSING OR CONTRACEPTIVE DEVICES; FOMENTATION; TREATMENT OR PROTECTION OF EYES OR EARS; BANDAGES, DRESSINGS OR ABSORBENT PADS; FIRST-AID KITS
- A61F5/00—Orthopaedic methods or devices for non-surgical treatment of bones or joints; Nursing devices; Anti-rape devices
- A61F5/37—Restraining devices for the body or for body parts, e.g. slings; Restraining shirts
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61G—TRANSPORT, PERSONAL CONVEYANCES, OR ACCOMMODATION SPECIALLY ADAPTED FOR PATIENTS OR DISABLED PERSONS; OPERATING TABLES OR CHAIRS; CHAIRS FOR DENTISTRY; FUNERAL DEVICES
- A61G7/00—Beds specially adapted for nursing; Devices for lifting patients or disabled persons
- A61G7/05—Parts, details or accessories of beds
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Abstract
The invention belongs to medical instruments fields, disclose a kind of neurosurgery sickbed auxiliary device, round hole lower end is equipped with net-type pocket, bed board rear end is equipped with case notes table, and bed board two sides are provided with sliding slot, are provided with sliding block in sliding slot, arc-shaped buckle is provided on sliding block, bed board side is equipped with hanging hole, is provided with wireless communication module and electronic health record device on ECG monitor, ECG monitor also includes temperature check module, pulse detection module and muscle tone detection module；Bed board two sides are additionally provided with finger training device, built-in virtual reality rehabilitation system.The configuration of the present invention is simple, design are reasonable, easy to use, patient is set to keep higher proactive in rehabilitation course using virtual reality technology, make medical record information by electronic health record device, convenient for grasping patient's state of an illness, and Remote diagnosis and treatment can be completed by remote diagnosis end.
Description
Technical field
The invention belongs to medical instrument field more particularly to a kind of neurosurgery sickbed auxiliary devices.
Background technique
Currently, the prior art commonly used in the trade is such：
Currently, in the neurosurgical Intensive Care Unit of hospital, patient is restless since drug effect or other reasons generate,
Or when clouded in mind, the four limbs using restraint strap immobilized patients are required, the intensive care bed of the prior art is not provided with specially
The restraint strap of door, when conditions of patients breaking-out, medical staff is generally fixed using common restraint strap, and common constraint
Band does not have elastic force, and not flexible increases the pain of patient, can also damage sometimes to patient.Especially neurosurgery disease
When people occurs restless, it is often used restraint strap while carrying out drug therapy to patient, protective constraint is implemented to patient limb,
But restraint strap comfort level in the prior art is poor, be easy to cause ankle injury or the scratch of local skin, and is easy to slip.In addition refreshing
It wakes up after surgical patient finishes operation, it may appear that unconsciousness loses self-contr ol power, is easy injury oneself, needs especially
Nursing, it is critically important to design the hospital bed that a suitable neurosurgery patient uses in this way.It is supervised in the neurosurgical of hospital
Room medical staff is protected when nursing the sick, needs to observe and record between different instruments.
In conclusion problem of the existing technology is：
First, general duty nursing bed cannot monitor in real time patient, often delay treatment, or even to jeopardize patient raw
Life；Second, nursing bed heaviness can not move, nursing is carried out to patient to medical staff and causes great difficulty, it is difficult to is complete in time
The nursery work of pairs of patient；Third, complexity is connected between nursing bed and various medical apparatus, it often will be to instrument after patients ' recovery
Device is dismantled, and instrument is be easy to cause to damage, and is caused unnecessary loss to hospital, is also added the difficulty of medical staff.
In the prior art, intelligence degree is low, the data inaccuracy of acquisition.
Summary of the invention
It easy can be operated when being nursed the purpose of the present invention is to provide a kind of medical staff to patient, sanitation and hygiene,
Structure is simple, easy to operate, and can effectively prevent patient's injury or injure oneself time saving and energy saving neurosurgery hospital bed auxiliary
Device.
The invention is realized in this way a kind of neurosurgery sickbed auxiliary device, including bed board, footpost and headpiece, institute
Bed board upper end is stated equipped with U-shaped air bag, the bed board centre is equipped with round hole, and the round hole lower end is equipped with net-type pocket, the bed
Plate rear end is equipped with case notes table, and the case notes table is equipped with bowl-type classifier, and the bed board two sides are provided with sliding slot, the cunning
Sliding block is provided in slot, the sliding slot top is equipped with the controller being connected with the slide block, and the controller is equipped with power supply line,
Arc-shaped buckle is provided on the sliding block, the arc-shaped band, which is buckled, is provided with fixing belt, is provided with bullet in the fixing belt
Power band and fastening base, the elastic force end of tape are provided with buckle joint, and the fixing belt front end is equipped with multiple hooks, and bed board side is set
There is hanging hole, the headpiece front is provided with warm wind ventilation opening, emergency call device, work light, emergency indicator light, electrocardio prison
Instrument and survey meter of blood pressure are protected, liquid crystal display, electrocardio switch, setting key and alarm, institute are provided on the ECG monitor
It states and is provided with blood pressure display screen, blood pressure switch, start button on survey meter of blood pressure；
It is provided with toilet waste collector rotating shaft on the footpost, screw hole, long screw and thick bed are provided on the footpost
Leg is provided with wheel shaft on the thick footpost, tire is provided on the wheel shaft, is provided on the toilet waste collector rotating shaft flexible
Bar and toilet waste collector pallet are provided with toilet waste collector on the toilet waste collector pallet；
The headpiece side is additionally provided with power switch, and headpiece is internally provided with distribution box, in the distribution box
It is provided with transformer and radiator, power supply line is provided on transformer, attaching plug and rubber retainer plate are provided on power supply line,
It is provided with dust hood on radiator, discharge port and automatic lifting plate are provided on the bed board, is provided with discharge port on discharge port
Telescopic baffle is provided with conducting wire on automatic lifting plate, is provided with remote controler on conducting wire.
The bed board two sides upper section is equipped with string holes, and the bed board and head of a bed plate surface are equipped with rubber protective layer, described
U-shaped air bag be connected by gas-guide tube with inflator pump, described elastic band one end is fixedly connected with fixing belt, and the other end passes through
Buckle joint is flexibly connected with the fastening base in fixing belt, and the fixing belt is annular, and the elastic band is set as rubber strip,
It is provided with cap nut on the long screw, brake valve is provided on the wheel shaft, is provided on the toilet waste collector pallet
Toilet waste collector fixes bracket.
Wireless communication module and electronic health record device are provided on the ECG monitor, which also includes
Temperature check module, pulse detection module and muscle tone detection module；
The temperature check module is by first microprocessor, the first wireless communication module, infrared temperature sensor, first
Power supply composition；
The pulse detection module is by the second microprocessor, the second wireless communication module, blood oxygen probe sensor, second
Power supply composition；First wireless communication module of temperature check module and the second wireless communication module of pulse detection module respectively with
Remote wireless communication device wireless communications constitute wireless body area network；
The infrared temperature sensor includes non-contact infrared temperature sensor, temperature-difference thermoelectric heap amplifying circuit, temperature
Degree compensation and amplifying circuit, A/D converter circuit, governor circuit, display circuit and warning circuit, body temperature calibration module；
The non-contact infrared temperature sensor respectively with temperature-difference thermoelectric heap amplifying circuit and temperature-compensating and put
Big circuit is connected, and temperature-difference thermoelectric heap amplifying circuit and temperature-compensating and amplifying circuit, which are connected, is connected respectively to A/D converter circuit,
The A/D converter circuit is a multichannel A/D converter circuit, and A/D converter circuit is connected with governor circuit, governor circuit and display
Circuit and warning circuit are connected；The non-contact infrared temperature sensor is realized using thermopile IR temperature sensor
To temperature signals and ambient temperature signal, that is, temperature difference heat pile faint voltage signal and electro-hot regulator thermistor signal
Non-contact detecting；
The body temperature calibration module includes infrared body temperature monitoring device, calibration data processing center, temperature measuring equipment, environment
Parameter monitoring equipment, environment parameter monitoring system, infrared body temperature monitor system；
Intelligent terminal and central server are provided in the electronic health record device, the intelligent terminal passes through channel radio
Believe that equipment and central server carry out wireless data connection；
The intelligent mobile terminal includes data acquisition module, MIM message input module, data decoder module and wireless data
Transmission module, the central server include HIS hospital information system, EMR electronic medical record system, PACS system and Mobile nursing
Database；
The bed board two sides are additionally provided with finger training device, which includes spring, finger pressing plate
And the lower position of finger pressing plate is arranged in handle, the spring；The handle is arranged under finger training device
Portion position；The middle position of finger pressing plate and handle is arranged in the spring；Force sensor is set on the handle；
The finger training device is built-in with virtual reality rehabilitation system, the virtual reality rehabilitation system include with it is described
The virtual reality rehabilitation module and virtual scene display screen of force snesor connection；
The virtual reality rehabilitation module include force signal acquisition with processing part, virtual reality human-computer interaction part,
Functional evaluation three parts；
The force signal acquisition is with processing part by data acquisition module, signal processing module and model cootrol module group
At；
The virtual reality human-computer interaction part is made of host computer virtual environment module and device for force feedback module；It is upper
Machine virtual environment module includes that waveform display area, virtual game scene region, recognition result display area, evaluation index are shown
Region；
The muscle function evaluation portion is made of Muscle tensility quantitative assessment module and muscle concertedness quantitative assessment module；
The signal acquisition terminal of data acquisition module is connect with the force snesor being mounted on finger training device；Data acquisition
The output end of module passes through waveform display area point in wireless transmission method and signal processing module, host computer virtual environment module
It is not communicatively coupled；The output end of signal processing module is empty by the mode of connection and model cootrol module input, host computer
Recognition result display area is separately connected in quasi- environment module；The output end and host computer virtual environment module of model cootrol module
Middle virtual game scene region connection；In host computer virtual environment module virtual game scene region separately with device for force feedback module
It is connected with each other.
Further, the MIM message input module is used to provide index according to comparison normal, Indexes Abnormality, severely subnormal
Judging result；When Indexes Abnormality, submodule of registering can be linked, submodule of registering for selecting hospital and doctor, be also used to by
Request of registering is transmitted to hospital's terminal system；When severely subnormal, start automatic alarm submodule so that help information is transmitted to hospital
The intelligent mobile of monitor center nurses end；
Outpatient service receives end module for receiving register request and help information that MIM message input module transmits, outpatient service receiving end
Patient diagnosis result is transmitted to hospital monitoring center by module, diagnostic message is also returned to Mobile nursing database simultaneously, in hospital
Place receives end module for generating hospitalization information, medical information, is also used to returning to medical information into Mobile nursing database.
Further, the neurosurgery sickbed auxiliary device further includes a remote diagnosis end, which includes：
One interrogation end, connect with electronic health record device；
An at least expert end is remotely connect by internet with the interrogation end；
One data cutout repeater assembly is connect with the electronic health record device, the data cutout repeater assembly
Lossless or lossy compression is carried out after data information in lossless interception electronic health record device；
One network security transmission component is connect with the data cutout repeater assembly, will be turned received from data cutout
The data information of hair device assembly is decrypted and encrypts；
One data relay server component is connect with the network security transmission component, the data relay server
Component receives the data information that network security transmission component is sent, and sends corresponding expert end for the data information；
One real-time behavior mastering component comprising set on the first sub- mastering component at interrogation end and set on the second of expert end
Sub- mastering component, be connected in turn between the second sub- mastering component and the first sub- mastering component network security transmission component and
Data relay server component, the operational motion at second sub- mastering component record expert end are simultaneously passed it by network security
Defeated component and data transfer server component are transmitted to the first sub- mastering component, are grasped by the first sub- mastering component at interrogation end
The reduction that work acts；
Server is managed in one remote medical consultation with specialists, and passing through internet respectively, with interrogation end and at least an expert end is connect, to meeting
The user for examining end and expert end is managed.
Further, the measurement model of infrared temperature sensor is as follows：
YA(tk-1)、YA(tk)、YA(tk+1) be respectively temperature sensor A to target in tk-1,tk,tk+1The local flute card at moment
Measuring value under your coordinate system, respectively：
Wherein, Y'A(tk-1)、Y'A(tk)、Y'A(tk+1) it is respectively temperature sensor A in tk-1,tk,tk+1The local flute at moment
Actual position under karr coordinate system；CAIt (t) is the transformation matrix of error；ξAIt (t) is the systematic error of temperature sensor；
For system noise, it is assumed thatFor zero-mean, mutually independent Gaussian stochastic variable, noise covariance
Matrix is respectively RA(k-1)、RA(k)、RA(k+1)；
Body temperature calibration module bearing calibration includes：
Decision plane is determined according to the characteristic spectrum for receiving signal；
Judge whether the communication channel for receiving signal is presented mutatis mutandis static conversion characteristic；
When mutatis mutandis static conversion characteristic is presented in the communication channel, using support vector machine method in the decision plane
In select decision boundary；
When mutatis mutandis static conversion characteristic is not presented in communication channel, using fuzzy clustering method in the decision plane
Select decision boundary；
The signal received is detected according to the decision boundary；
It is described to determine that decision plane includes according to the characteristic spectrum for receiving signal：
Linear transformation is carried out to the discrete signal vector for receiving signal and obtains unitary transformation matrix；
According in the unitary transformation matrix the elements in a main diagonal and counter-diagonal element calculate receive signal energy
Characteristic spectrum；
Decision plane is obtained from energy feature spectrum；
According in the unitary transformation matrix the elements in a main diagonal and counter-diagonal element calculate receive signal energy
Characteristic spectrum includes：
To counter-diagonal element composition matrix carry out square and multiplied by the elements in a main diagonal form matrix, received
The energy feature of signal is composed；
Obtaining decision plane from energy feature spectrum includes：
According to the encircled energy of energy feature spectrum, waveform symmetry and local wave function variance from the energy
At least one set of feature vector is extracted in characteristic spectrum；
The feature vector as decision plane is obtained from the feature vector of extraction in the way of pattern classification；
The discrete signal vector for receiving signal samples to obtain by Nyquist law, and sampling length is covered and connect
The predetermined ratio energy of the collection of letters number；
Before obtaining decision plane in composing from the energy feature, the method also includes：
The energy feature is composed and carries out sliding average processing；
The signal acceptance method is applied to the communication system or on-off keying modulation of time-hopping pulse position modulation mode
The communication system of mode；
The eigenvector method of the extraction specifically includes following steps：
Signal is obtained, data are acquired by sensor and processing is amplified to signal；
Signal carries out segment processing；Mean value, variance, the accumulated value of signal and peak value 4 are extracted in every segment signal
Basic time domain parameter, the case where doubtful leakage is judged whether there is by the difference of 4 parameter values of adjacent segment signal occur
One layer of decision judgement：Execute the denoising of step wavelet packet down if having, no person jumps to execution and obtains signal；
Wavelet packet denoising；The signal of acquisition is denoised using improvement Wavelet Packet Algorithm；
WAVELET PACKET DECOMPOSITION and reconstruct；I.e. using improve Wavelet Packet Algorithm to the signal of acquisition carry out WAVELET PACKET DECOMPOSITION with again
Structure obtains list band reconstruction signal；
Extract signal characteristic parameter；Extracted in the list band signal of reconstruct：Time domain energy, time domain peak, frequency domain energy
The parameter of amount, frequency domain peak value, coefficient of kurtosis, variance, frequency spectrum and coefficient skewness 8 expression signal characteristics；
Composition characteristic vector, that is, utilize principal component analytical method, and Binding experiment analysis selects 3 to 8 from above-mentioned parameter
Can obviously indicate sound emission signal characteristic parameter composition feature vector, and by these feature vectors be input to support vector machines into
The judgement of row decision, i.e., second layer decision judges, judges whether there is leakage according to the output of support vector machines；
Wavelet packet denoising and WAVELET PACKET DECOMPOSITION include with reconstruct：
Signals extension carries out parabola continuation to each layer signal of WAVELET PACKET DECOMPOSITION；
If signal data be x (a), x (a+1), x (a+2), then the expression formula of continuation operator E be：
Eliminate list band un-necessary frequency ingredient；
By the signal after continuation and decompose low-pass filter h0Convolution obtains low frequency coefficient, then calculates by HF-cut-IF
Subprocessing removes extra frequency content, then carries out down-sampling, obtains next layer of low frequency coefficient；By after continuation signal with
Decompose high-pass filter g0Convolution obtains high frequency coefficient, then by LF-cut-IF operator handle, remove extra frequency at
Point, then down-sampling is carried out, next layer of high frequency coefficient is obtained, HF-cut-IF operator uses following formula
LF-cut-IF operator uses following formula
In HF-cut-IF operator public affairs and LF-cut-IF operator formula, x (n) is 2jThe coefficient of wavelet packet, N on scalej
It indicates 2jThe length of data on scale,
The reconstruct of list band signal：
Obtained high and low frequency coefficient is up-sampled, then respectively with high pass reconstruction filter g1It is filtered with low-pass reconstruction
Wave device h1Obtained signal is used HF-cut-IF, LF-cut-IF operator to handle by convolution respectively, obtains list band reconstruction signal.
In conclusion advantages of the present invention and good effect are：
The configuration of the present invention is simple, design it is reasonable, easy to use, Patients with Neurosurgery it is postoperative or occur it is restless when prevent disease
People it is injured or injure oneself and it is easy to operate, time saving and energy saving, be capable of increasing the move place of patient, mitigate the pain of patient, subtract
The light work difficulty of nursing staff, elastic band have elastic force, are capable of increasing the move place of patient, mitigate the pain of patient.
It is provided with brake valve on wheel shaft, in this way, can prevent bed body from rolling, to avoid nursing bed and object collides influence
Patient is provided with the fixed bracket of toilet waste collector on toilet waste collector pallet, in this way, can prevent toilet waste collector from sliding, toppling over, the row of avoiding
It lets out object and causes work difficulty to medical staff.
Virtual reality rehabilitation system in the present invention makes patient keep higher in rehabilitation course using virtual reality technology
Proactive, while improving convenience, safety and the validity of rehabilitation training；Hand is evaluated in conjunction with existing clinical rehabilitation
Section, the muscle function state of objective quantitative patient, tracking Rehabilitation training effect promptly and accurately provide health for patient
The standard of effect assessment is practiced in refreshment, also formulates next step therapeutic scheme for physiatrician and provides foundation.
Make medical record information by electronic health record device, convenient for grasping patient's state of an illness, and remote diagnosis end can be passed through
Complete Remote diagnosis and treatment.
The measurement model of infrared temperature sensor of the invention is as follows：
YA(tk-1)、YA(tk)、YA(tk+1) be respectively temperature sensor A to target in tk-1,tk,tk+1The local flute card at moment
Measuring value under your coordinate system, respectively：
It can get accurate data.
Body temperature calibration module bearing calibration includes：Decision plane is determined according to the characteristic spectrum for receiving signal；Judgement receives letter
Number communication channel mutatis mutandis static conversion characteristic whether is presented；When mutatis mutandis static conversion characteristic is presented in the communication channel, benefit
Decision boundary is selected in the decision plane with support vector machine method；It is special that mutatis mutandis static conversion is not presented in communication channel
When property, decision boundary is selected in the decision plane using fuzzy clustering method；According to the decision boundary to receiving
Signal is detected；It can get accurate temperature data.
Detailed description of the invention
Fig. 1 is the structural schematic diagram of neurosurgery sickbed auxiliary device provided in an embodiment of the present invention；
Fig. 2 is the structural schematic diagram of the headpiece of neurosurgery sickbed auxiliary device provided in an embodiment of the present invention；
Fig. 3 is the structural schematic diagram of the sliding block of neurosurgery sickbed auxiliary device provided in an embodiment of the present invention；In figure：1,
Bed board；2, footpost；2-1, toilet waste collector rotating shaft；2-2, screw hole；2-3, long screw；2-4, thick footpost；2-4-1, wheel shaft；2-
4-2, tire；2-5, telescopic rod；2-6, toilet waste collector pallet；3, headpiece；3-1, warm wind ventilation opening；3-2, emergency call device；3-
3, work light；3-4, emergency indicator light；3-5, ECG monitor；3-6, survey meter of blood pressure；3-7, power switch；3-8, match
Electronic box；4, U-shaped air bag；5, round hole；6, net-type pocket；7, case notes table；8, bowl-type classifier；9, sliding slot；10, sliding block；10-1, circle
Arc buckle；10-2, fixing belt；10-3, elastic band；10-4, fastening base；10-5, buckle joint；10-6, hook；10-7, hanging hole；
11, controller；12, power supply line；13, gas-guide tube；14, inflator pump.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, with reference to embodiments, to the present invention
It is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not used to
Limit the present invention.
Please refer to Fig. 1-Fig. 3, neurosurgery sickbed auxiliary device provided in an embodiment of the present invention, including bed board 1, footpost 2
With headpiece 3,1 upper end of bed board is equipped with U-shaped air bag 4, is equipped with round hole 5 among the bed board, 5 lower end of round hole is set
There is net-type pocket 6,1 rear end of bed board is equipped with case notes table 7, and the case notes table 7 is equipped with bowl-type classifier 8, the bed board 1
Two sides are provided with sliding slot 9, and sliding block 10 is provided in the sliding slot 9, and 9 top of sliding slot is equipped with the control connecting with the sliding block 10
Device 11 processed, the controller 11 is equipped with power supply line 12, is provided with arc-shaped buckle 10-1 on the sliding block 10, described arc-shaped
It is provided with fixing belt 10-2 on buckle 10-1, elastic band 10-3 and fastening base 10-4 is provided on the fixing belt 10-2, it is described
The end elastic band 10-3 is provided with buckle joint 10-5, and the front end the fixing belt 10-2 is equipped with multiple hook 10-6, and 1 side of bed board is set
There is hanging hole 10-7,3 front of headpiece is provided with warm wind ventilation opening 3-1, emergency call device 3-2, work light 3-3, answers
Be provided on anxious indicator light 3-4, ECG monitor 3-5 and survey meter of blood pressure 3-6, the ECG monitor 3-5 liquid crystal display,
Electrocardio switch, setting key and alarm, be provided on the survey meter of blood pressure 3-6 blood pressure display screen, blood pressure switch, start by
Button；
It is provided with toilet waste collector rotating shaft 2-1 on the footpost 2, is provided with screw hole 2-2, long screw on the footpost
It is provided with wheel shaft 2-4-1 on 2-3 and thick footpost 2-4, the thick footpost 2-4, is provided with tire 2-4-2 on the wheel shaft 2-4-1,
It is provided on telescopic rod 2-5 and toilet waste collector pallet 2-6, the toilet waste collector pallet 2-6 and is arranged on the toilet waste collector rotating shaft 2-1
There is toilet waste collector；
3 side of headpiece is additionally provided with power switch 3-7, and headpiece is internally provided with distribution box 3-8, described to match
It is provided with transformer and radiator in electronic box 3-8, power supply line is provided on transformer, is provided with attaching plug and rubber on power supply line
Glue retainer plate is provided with dust hood on radiator, discharge port and automatic lifting plate is provided on the bed board 1, is set on discharge port
It is equipped with discharge port telescopic baffle, conducting wire is provided on automatic lifting plate, is provided with remote controler on conducting wire.
The 1 two sides upper section of bed board is equipped with string holes, and the bed board 1 and 3 surface of headpiece are equipped with rubber protective layer, institute
The U-shaped air bag 4 stated is connected by gas-guide tube 13 with inflator pump 14, and described one end elastic band 10-3 is fixed with fixing belt 10-2
Connection, the other end are flexibly connected by buckle joint 10-5 with the fastening base 10-4 on fixing belt 10-2, the fixing belt 10-2
For annular, the elastic band 10-3 is set as rubber strip, cap nut, the wheel shaft is provided on the long screw 2-3
It is provided with brake valve on 2-4-1, the fixed bracket of toilet waste collector is provided on the toilet waste collector pallet 2-6；
It is provided with wireless communication module and electronic health record device on the ECG monitor 3-5, the ECG monitor is also
Include temperature check module, pulse detection module and muscle tone detection module；
The temperature check module is by first microprocessor, the first wireless communication module, infrared temperature sensor, first
Power supply composition；
The pulse detection module is by the second microprocessor, the second wireless communication module, blood oxygen probe sensor, second
Power supply composition；First wireless communication module of temperature check module and the second wireless communication module of pulse detection module respectively with
Remote wireless communication device wireless communications constitute wireless body area network；
The infrared temperature sensor includes non-contact infrared temperature sensor, temperature-difference thermoelectric heap amplifying circuit, temperature
Degree compensation and amplifying circuit, A/D converter circuit, governor circuit, display circuit and warning circuit, body temperature calibration module；
The non-contact infrared temperature sensor respectively with temperature-difference thermoelectric heap amplifying circuit and temperature-compensating and put
Big circuit is connected, and temperature-difference thermoelectric heap amplifying circuit and temperature-compensating and amplifying circuit, which are connected, is connected respectively to A/D converter circuit,
The A/D converter circuit is a multichannel A/D converter circuit, and A/D converter circuit is connected with governor circuit, governor circuit and display
Circuit and warning circuit are connected；The non-contact infrared temperature sensor is realized using thermopile IR temperature sensor
To temperature signals and ambient temperature signal, that is, temperature difference heat pile faint voltage signal and electro-hot regulator thermistor signal
Non-contact detecting；
The body temperature calibration module includes infrared body temperature monitoring device, calibration data processing center, temperature measuring equipment, environment
Parameter monitoring equipment, environment parameter monitoring system, infrared body temperature monitor system；
Intelligent terminal and central server are provided in the electronic health record device, the intelligent terminal passes through channel radio
Believe that equipment and central server carry out wireless data connection；
The intelligent mobile terminal includes data acquisition module, MIM message input module, data decoder module and wireless data
Transmission module, the central server include HIS hospital information system, EMR electronic medical record system, PACS system and Mobile nursing
Database；
The bed board two sides are additionally provided with finger training device, which includes spring, finger pressing plate
And the lower position of finger pressing plate is arranged in handle, the spring；The handle is arranged under finger training device
Portion position；The middle position of finger pressing plate and handle is arranged in the spring；Force sensor is set on the handle；
The finger training device is built-in with virtual reality rehabilitation system, the virtual reality rehabilitation system include with it is described
The virtual reality rehabilitation module and virtual scene display screen of force snesor connection；
The virtual reality rehabilitation module include force signal acquisition with processing part, virtual reality human-computer interaction part,
Functional evaluation three parts；
The force signal acquisition is with processing part by data acquisition module, signal processing module and model cootrol module group
At；
The virtual reality human-computer interaction part is made of host computer virtual environment module and device for force feedback module；It is upper
Machine virtual environment module includes that waveform display area, virtual game scene region, recognition result display area, evaluation index are shown
Region；
The muscle function evaluation portion is made of Muscle tensility quantitative assessment module and muscle concertedness quantitative assessment module；
The signal acquisition terminal of data acquisition module is connect with the force snesor being mounted on finger training device；Data acquisition
The output end of module passes through waveform display area point in wireless transmission method and signal processing module, host computer virtual environment module
It is not communicatively coupled；The output end of signal processing module is empty by the mode of connection and model cootrol module input, host computer
Recognition result display area is separately connected in quasi- environment module；The output end and host computer virtual environment module of model cootrol module
Middle virtual game scene region connection；In host computer virtual environment module virtual game scene region separately with device for force feedback module
It is connected with each other.
Further, the MIM message input module is used to provide index according to comparison normal, Indexes Abnormality, severely subnormal
Judging result；When Indexes Abnormality, submodule of registering can be linked, submodule of registering for selecting hospital and doctor, be also used to by
Request of registering is transmitted to hospital's terminal system；When severely subnormal, start automatic alarm submodule so that help information is transmitted to hospital
The intelligent mobile of monitor center nurses end；
Outpatient service receives end module for receiving register request and help information that MIM message input module transmits, outpatient service receiving end
Patient diagnosis result is transmitted to hospital monitoring center by module, diagnostic message is also returned to Mobile nursing database simultaneously, in hospital
Place receives end module for generating hospitalization information, medical information, is also used to returning to medical information into Mobile nursing database.
Further, the neurosurgery sickbed auxiliary device further includes a remote diagnosis end, which includes：
One interrogation end, connect with electronic health record device；
An at least expert end is remotely connect by internet with the interrogation end；
One data cutout repeater assembly is connect with the electronic health record device, the data cutout repeater assembly
Lossless or lossy compression is carried out after data information in lossless interception electronic health record device；
One network security transmission component is connect with the data cutout repeater assembly, will be turned received from data cutout
The data information of hair device assembly is decrypted and encrypts；
One data relay server component is connect with the network security transmission component, the data relay server
Component receives the data information that network security transmission component is sent, and sends corresponding expert end for the data information；
One real-time behavior mastering component comprising set on the first sub- mastering component at interrogation end and set on the second of expert end
Sub- mastering component, be connected in turn between the second sub- mastering component and the first sub- mastering component network security transmission component and
Data relay server component, the operational motion at second sub- mastering component record expert end are simultaneously passed it by network security
Defeated component and data transfer server component are transmitted to the first sub- mastering component, are grasped by the first sub- mastering component at interrogation end
The reduction that work acts；
Server is managed in one remote medical consultation with specialists, and passing through internet respectively, with interrogation end and at least an expert end is connect, to meeting
The user for examining end and expert end is managed.
When using present invention nursing Patients with Neurosurgery, patient is lain on bed board 1, and head is placed in U-shaped air bag 4, leads
Urinal enters in net-type pocket 6 from round hole 5, connects power supply line 12, opens controller 11, is provided with arc-shaped band on sliding block 10
10-1 is detained, is provided with fixing belt 10-2 on arc-shaped buckle 10-1, the elastic band 10-3 being arranged on fixing belt 10-2, elastic band
The one end 10-3 is fixedly connected with fixing belt 10-2, and the other end is living by the fastening base 10-4 on buckle joint 10-5 and fixing belt 10-2
Dynamic connection, the front end fixing belt 10-2 are equipped with multiple hook 10-6 and hang in the hanging hole 10-7 of 1 side of bed board, adjusted according to elasticity
The position of 9 inner slide 10 of sliding slot, for that can reach better using effect, fixing belt 10-2 is annular；If you need to monitor patient's electrocardio
Figure and blood pressure, turn on the power switch 3-7, openable heart ECG monitor 3-5 and survey meter of blood pressure 3-6, if you need to assist patient to arrange
Just, toilet waste collector is rotated to and assists patient's defecation on the downside of discharge port by openable excretion telescopic baffle.
Virtual reality rehabilitation system in the present invention makes patient keep higher in rehabilitation course using virtual reality technology
Proactive, while improving convenience, safety and the validity of rehabilitation training；Hand is evaluated in conjunction with existing clinical rehabilitation
Section, the muscle function state of objective quantitative patient, tracking Rehabilitation training effect promptly and accurately provide health for patient
The standard of effect assessment is practiced in refreshment, also formulates next step therapeutic scheme for physiatrician and provides foundation.
It is provided with security authentication module in the remote diagnosis end, which includes central server and position
User terminal in central server and the back-end system positioned at expert end and the front end system being connect with back-end system, it is described
User terminal includes smart card, and the personal patient information's information stored in advance, the intelligence are contained in the smart card
Card is connect by central server with the electron medical treatment information terminal, and a private key and one of the smart card with pairing are in advance
The public key of end system publication, smart card are mainly encrypted by the first central processing module, the autonomous starting module of user, first backward
Deciphering module, the first modulation /demodulation module and the first audio processing modules composition.
The autonomous starting module of the user, the first Encryption Decryption module and the first modulation /demodulation module with the first center
Processing module is in communication with each other connection, and the first audio processing modules are in communication with each other with the first modulation /demodulation module and connect；Before described
End system is mainly by the second audio processing modules, the second central processing module, the second modulation /demodulation module and the second encrypting and decrypting
Module composition；Second audio processing modules are in communication with each other with the second modulation /demodulation module and connect, the second modulation
Demodulation module and second Encryption Decryption module, which are in communication with each other with second central processing module, to be connect.
The remote diagnosis end realizes that the state of an illness uploads by patient or medical staff by interrogation end, passes through data cutout
State of an illness information is carried out lossless or lossy compression and is decrypted and encrypts by network security transmission component by repeater assembly, is passed through
Data information is sent corresponding expert end by data relay server component；
The certification for completing smart card when upload by the first Encryption Decryption module, the first central processing module, allows
Data upload, and the certification at expert end is completed by the second central processing module and the second Encryption Decryption module, allows expert diagnosis
As a result it returns, enhance the safety of remote medical consultation with specialists and realizes the secrecy to patient information.
Further, the measurement model of infrared temperature sensor is as follows：
YA(tk-1)、YA(tk)、YA(tk+1) be respectively temperature sensor A to target in tk-1,tk,tk+1The local flute card at moment
Measuring value under your coordinate system, respectively：
Wherein, Y'A(tk-1)、Y'A(tk)、Y'A(tk+1) it is respectively temperature sensor A in tk-1,tk,tk+1The local flute at moment
Actual position under karr coordinate system；CAIt (t) is the transformation matrix of error；ξAIt (t) is the systematic error of temperature sensor；
For system noise, it is assumed thatFor zero-mean, mutually independent Gaussian stochastic variable, noise covariance
Matrix is respectively RA(k-1)、RA(k)、RA(k+1)；
Body temperature calibration module bearing calibration includes：
Decision plane is determined according to the characteristic spectrum for receiving signal；
Judge whether the communication channel for receiving signal is presented mutatis mutandis static conversion characteristic；
When mutatis mutandis static conversion characteristic is presented in the communication channel, using support vector machine method in the decision plane
In select decision boundary；
When mutatis mutandis static conversion characteristic is not presented in communication channel, using fuzzy clustering method in the decision plane
Select decision boundary；
The signal received is detected according to the decision boundary；
It is described to determine that decision plane includes according to the characteristic spectrum for receiving signal：
Linear transformation is carried out to the discrete signal vector for receiving signal and obtains unitary transformation matrix；
According in the unitary transformation matrix the elements in a main diagonal and counter-diagonal element calculate receive signal energy
Characteristic spectrum；
Decision plane is obtained from energy feature spectrum；
According in the unitary transformation matrix the elements in a main diagonal and counter-diagonal element calculate receive signal energy
Characteristic spectrum includes：
To counter-diagonal element composition matrix carry out square and multiplied by the elements in a main diagonal form matrix, received
The energy feature of signal is composed；
Obtaining decision plane from energy feature spectrum includes：
According to the encircled energy of energy feature spectrum, waveform symmetry and local wave function variance from the energy
At least one set of feature vector is extracted in characteristic spectrum；
The feature vector as decision plane is obtained from the feature vector of extraction in the way of pattern classification；
The discrete signal vector for receiving signal samples to obtain by Nyquist law, and sampling length is covered and connect
The predetermined ratio energy of the collection of letters number；
Before obtaining decision plane in composing from the energy feature, the method also includes：
The energy feature is composed and carries out sliding average processing；
The signal acceptance method is applied to the communication system or on-off keying modulation of time-hopping pulse position modulation mode
The communication system of mode；
The eigenvector method of the extraction specifically includes following steps：
Signal is obtained, data are acquired by sensor and processing is amplified to signal；
Signal carries out segment processing；Mean value, variance, the accumulated value of signal and peak value 4 are extracted in every segment signal
Basic time domain parameter, the case where doubtful leakage is judged whether there is by the difference of 4 parameter values of adjacent segment signal occur
One layer of decision judgement：Execute the denoising of step wavelet packet down if having, no person jumps to execution and obtains signal；
Wavelet packet denoising；The signal of acquisition is denoised using improvement Wavelet Packet Algorithm；
WAVELET PACKET DECOMPOSITION and reconstruct；I.e. using improve Wavelet Packet Algorithm to the signal of acquisition carry out WAVELET PACKET DECOMPOSITION with again
Structure obtains list band reconstruction signal；
Extract signal characteristic parameter；Extracted in the list band signal of reconstruct：Time domain energy, time domain peak, frequency domain energy
The parameter of amount, frequency domain peak value, coefficient of kurtosis, variance, frequency spectrum and coefficient skewness 8 expression signal characteristics；
Composition characteristic vector, that is, utilize principal component analytical method, and Binding experiment analysis selects 3 to 8 from above-mentioned parameter
Can obviously indicate sound emission signal characteristic parameter composition feature vector, and by these feature vectors be input to support vector machines into
The judgement of row decision, i.e., second layer decision judges, judges whether there is leakage according to the output of support vector machines；
Wavelet packet denoising and WAVELET PACKET DECOMPOSITION include with reconstruct：
Signals extension carries out parabola continuation to each layer signal of WAVELET PACKET DECOMPOSITION；
If signal data be x (a), x (a+1), x (a+2), then the expression formula of continuation operator E be：
Eliminate list band un-necessary frequency ingredient；
By the signal after continuation and decompose low-pass filter h0Convolution obtains low frequency coefficient, then calculates by HF-cut-IF
Subprocessing removes extra frequency content, then carries out down-sampling, obtains next layer of low frequency coefficient；By after continuation signal with
Decompose high-pass filter g0Convolution obtains high frequency coefficient, then by LF-cut-IF operator handle, remove extra frequency at
Point, then down-sampling is carried out, next layer of high frequency coefficient is obtained, HF-cut-IF operator uses following formula
LF-cut-IF operator uses following formula
In HF-cut-IF operator public affairs and LF-cut-IF operator formula, x (n) is 2jThe coefficient of wavelet packet, N on scalej
It indicates 2jThe length of data on scale,
The reconstruct of list band signal：
Obtained high and low frequency coefficient is up-sampled, then respectively with high pass reconstruction filter g1It is filtered with low-pass reconstruction
Wave device h1Obtained signal is used HF-cut-IF, LF-cut-IF operator to handle by convolution respectively, obtains list band reconstruction signal.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all in essence of the invention
Made any modifications, equivalent replacements, and improvements etc., should all be included in the protection scope of the present invention within mind and principle.
Claims (4)
1. a kind of neurosurgery sickbed auxiliary device, which is characterized in that the neurosurgery sickbed auxiliary device setting is intentionally
Electric patient monitor；
Wireless communication module and electronic health record device are provided on ECG monitor；The ECG monitor also includes temperature check mould
Block, pulse detection module and muscle tone detection module；
The temperature check module is by first microprocessor, the first wireless communication module, infrared temperature sensor, the first power supply
Composition；
The pulse detection module is by the second microprocessor, the second wireless communication module, blood oxygen probe sensor, second source
Composition；First wireless communication module of temperature check module and the second wireless communication module of pulse detection module are respectively and remotely
Wireless telecom equipment wireless communications constitute wireless body area network；
The infrared temperature sensor includes non-contact infrared temperature sensor, temperature-difference thermoelectric heap amplifying circuit, temperature benefit
It repays and amplifying circuit, A/D converter circuit, governor circuit, display circuit and warning circuit, body temperature calibration module；
The measurement model of infrared temperature sensor is as follows：
YA(tk-1)、YA(tk)、YA(tk+1) be respectively temperature sensor A to target in tk-1,tk,tk+1The local Descartes at moment sits
Measuring value under mark system, respectively：
Wherein, Y'A(tk-1)、Y'A(tk)、Y'A(tk+1) it is respectively temperature sensor A in tk-1,tk,tk+1The local Descartes at moment
Actual position under coordinate system；CAIt (t) is the transformation matrix of error；ξAIt (t) is the systematic error of temperature sensor；To be
System noise, it is assumed thatFor zero-mean, mutually independent Gaussian stochastic variable, noise covariance matrix
Respectively RA(k-1)、RA(k)、RA(k+1)；
The non-contact infrared temperature sensor is electric with temperature-difference thermoelectric heap amplifying circuit and temperature-compensating and amplification respectively
Road is connected, and temperature-difference thermoelectric heap amplifying circuit and temperature-compensating and amplifying circuit, which are connected, is connected respectively to A/D converter circuit, described
A/D converter circuit be a multichannel A/D converter circuit, A/D converter circuit is connected with governor circuit, governor circuit and display circuit
And warning circuit is connected；The non-contact infrared temperature sensor is realized using thermopile IR temperature sensor to body
The thermistor signal of warm signal and ambient temperature signal, that is, faint voltage signal of temperature difference heat pile and electro-hot regulator it is non-
Contact detection；
The body temperature calibration module includes infrared body temperature monitoring device, calibration data processing center, temperature measuring equipment, environmental parameter
Monitoring device, environment parameter monitoring system, infrared body temperature monitor system；
Body temperature calibration module bearing calibration includes：
Decision plane is determined according to the characteristic spectrum for receiving signal；
Judge whether the communication channel for receiving signal is presented mutatis mutandis static conversion characteristic；
When mutatis mutandis static conversion characteristic is presented in the communication channel, selected in the decision plane using support vector machine method
Decision boundary out；
When mutatis mutandis static conversion characteristic is not presented in communication channel, selected in the decision plane using fuzzy clustering method
Decision boundary；
The signal received is detected according to the decision boundary；
It is described to determine that decision plane includes according to the characteristic spectrum for receiving signal：
Linear transformation is carried out to the discrete signal vector for receiving signal and obtains unitary transformation matrix；
According in the unitary transformation matrix the elements in a main diagonal and counter-diagonal element calculate receive signal energy feature
Spectrum；
Decision plane is obtained from energy feature spectrum；
According in the unitary transformation matrix the elements in a main diagonal and counter-diagonal element calculate receive signal energy feature
Spectrum includes：
To counter-diagonal element composition matrix carry out square and multiplied by the elements in a main diagonal form matrix, obtain receive signal
Energy feature spectrum；
Obtaining decision plane from energy feature spectrum includes：
According to the encircled energy of energy feature spectrum, waveform symmetry and local wave function variance from the energy feature
At least one set of feature vector is extracted in spectrum；
The feature vector as decision plane is obtained from the feature vector of extraction in the way of pattern classification；
The discrete signal vector for receiving signal samples to obtain by Nyquist law, and sampling length covers reception letter
Number predetermined ratio energy；
Before obtaining decision plane in composing from the energy feature, the method also includes：
The energy feature is composed and carries out sliding average processing；
The signal acceptance method is applied to the communication system or on-off keying modulation system of time-hopping pulse position modulation mode
Communication system；
The eigenvector method of the extraction specifically includes following steps：
Signal is obtained, data are acquired by sensor and processing is amplified to signal；
Signal carries out segment processing；It is basic that mean value, variance, the accumulated value of signal and peak value 4 are extracted in every segment signal
Time domain parameter, the first layer that the case where judging whether there is doubtful leakage by the difference of 4 parameter values of adjacent segment signal occurs
Decision judgement：Execute the denoising of step wavelet packet down if having, no person jumps to execution and obtains signal；
Wavelet packet denoising；The signal of acquisition is denoised using improvement Wavelet Packet Algorithm；
WAVELET PACKET DECOMPOSITION and reconstruct；I.e. using Wavelet Packet Algorithm is improved to the signal progress WAVELET PACKET DECOMPOSITION of acquisition and reconstruct, obtain
To list band reconstruction signal；
Extract signal characteristic parameter；Extracted in the list band signal of reconstruct：Time domain energy, time domain peak, frequency domain energy, frequency
Domain peak value, coefficient of kurtosis, variance, the parameter of frequency spectrum and coefficient skewness 8 expression signal characteristics；
Composition characteristic vector, that is, utilize principal component analytical method, and Binding experiment analysis selects 3 to 8 energy bright from above-mentioned parameter
The aobvious parameter for indicating sound emission signal characteristic forms feature vector, and these feature vectors are input to support vector machines and are determined
Plan judgement, i.e., second layer decision judges, judges whether there is leakage according to the output of support vector machines；
Wavelet packet denoising and WAVELET PACKET DECOMPOSITION include with reconstruct：
Signals extension carries out parabola continuation to each layer signal of WAVELET PACKET DECOMPOSITION；
If signal data be x (a), x (a+1), x (a+2), then the expression formula of continuation operator E be：
Eliminate list band un-necessary frequency ingredient；
By the signal after continuation and decompose low-pass filter h0Convolution obtains low frequency coefficient, then by HF-cut-IF operator
Reason, removes extra frequency content, then carry out down-sampling, obtains next layer of low frequency coefficient；By after continuation signal and decomposition
High-pass filter g0Convolution obtains high frequency coefficient, then handles by LF-cut-IF operator, removes extra frequency content, then
Down-sampling is carried out, next layer of high frequency coefficient is obtained, HF-cut-IF operator uses following formula
LF-cut-IF operator uses following formula
In HF-cut-IF operator public affairs and LF-cut-IF operator formula, x (n) is 2jThe coefficient of wavelet packet, N on scalejIt indicates
2jThe length of data on scale,K=0,1 ..., Nj-1；N=0,1 ..., Nj-1；
The reconstruct of list band signal：
Obtained high and low frequency coefficient is up-sampled, then respectively with high pass reconstruction filter g1With low-pass reconstruction filter h1
Obtained signal is used HF-cut-IF, LF-cut-IF operator to handle by convolution respectively, obtains list band reconstruction signal；
Intelligent terminal and central server are provided in the electronic health record device, the intelligent terminal is set by wireless communication
It is standby to carry out wireless data connection with central server；
The neurosurgery sickbed auxiliary device is additionally provided with intelligent mobile terminal：The intelligent mobile terminal includes that data are adopted
Collecting module, MIM message input module, data decoder module and wireless data transfer module, the central server includes HIS hospital
Information system, EMR electronic medical record system, PACS system and Mobile nursing database.
2. neurosurgery sickbed auxiliary device as described in claim 1, which is characterized in that the neurosurgery hospital bed auxiliary
Device further includes bed board, footpost and headpiece, and the bed board upper end is equipped with U-shaped air bag, is equipped with round hole, institute among the bed board
Round hole lower end is stated equipped with net-type pocket, the bed board rear end is equipped with case notes table, and the case notes table is equipped with bowl-type classifier,
The bed board two sides are provided with sliding slot；It is provided with sliding block in the sliding slot, the sliding slot top, which is equipped with, to be connected with the slide block
Controller, the controller are equipped with power supply line, are provided with arc-shaped buckle on the sliding block, the arc-shaped band buckles setting
There is fixing belt, elastic band and fastening base are provided in the fixing belt, the elastic force end of tape is provided with buckle joint, the fixation
Band front end is equipped with multiple hooks, and bed board side is equipped with hanging hole, and the headpiece front is provided with warm wind ventilation opening, emergency call
Device, work light, meet an urgent need indicator light, ECG monitor and survey meter of blood pressure, are provided with liquid crystal on the ECG monitor
Display screen, electrocardio switch, setting key and alarm, be provided on the survey meter of blood pressure blood pressure display screen, blood pressure switch, start by
Button；
It is provided with toilet waste collector rotating shaft on the footpost, screw hole, long screw and thick footpost, institute are provided on the footpost
State and be provided with wheel shaft on thick footpost, tire is provided on the wheel shaft, be provided on the toilet waste collector rotating shaft telescopic rod and
Toilet waste collector pallet is provided with toilet waste collector on the toilet waste collector pallet；
The headpiece side is additionally provided with power switch, and headpiece is internally provided with distribution box, setting in the distribution box
There are transformer and radiator, power supply line is provided on transformer, attaching plug and rubber retainer plate are provided on power supply line, radiates
It is provided with dust hood on device, discharge port and automatic lifting plate are provided on the bed board, it is flexible that discharge port is provided on discharge port
Baffle is provided with conducting wire on automatic lifting plate, is provided with remote controler on conducting wire；
The bed board and head of a bed plate surface is equipped with rubber protective layer, and the U-shaped air bag is connected by gas-guide tube with inflator pump
It connects, described elastic band one end is fixedly connected with fixing belt, and the other end is connected by the fastening base activity on buckle joint and fixing belt
It connects, the fixing belt is annular, and the elastic band is set as rubber strip, cap nut, institute are provided on the long screw
It is provided with brake valve on the wheel shaft stated, the fixed bracket of toilet waste collector is provided on the toilet waste collector pallet；
The bed board two sides are additionally provided with finger training device, which includes spring, finger pressing plate and hold
The lower position of finger pressing plate is arranged in the spring；The lower portion of finger training device is arranged in the handle
It sets；The middle position of finger pressing plate and handle is arranged in the spring；Force sensor is set on the handle；
The finger training device is built-in with virtual reality rehabilitation system, which includes passing with the power
The virtual reality rehabilitation module and virtual scene display screen of sensor connection；
The virtual reality rehabilitation module includes force signal acquisition and processing part, virtual reality human-computer interaction part, function
Evaluate three parts；
The force signal acquisition is made of with processing part data acquisition module, signal processing module and model cootrol module；
The virtual reality human-computer interaction part is made of host computer virtual environment module and device for force feedback module；Host computer is empty
Quasi- environment module includes waveform display area, virtual game scene region, recognition result display area, evaluation index viewing area
Domain；
The muscle function evaluation portion is made of Muscle tensility quantitative assessment module and muscle concertedness quantitative assessment module；
The signal acquisition terminal of data acquisition module is connect with the force snesor being mounted on finger training device；Data acquisition module
Output end by waveform display area in wireless transmission method and signal processing module, host computer virtual environment module respectively into
Row communication connection；The output end of signal processing module passes through the mode of connection and model cootrol module input, host computer virtual ring
Recognition result display area is separately connected in the module of border；It is empty in the output end and host computer virtual environment module of model cootrol module
Quasi- scene of game region connection；Virtual game scene region is separately mutual with device for force feedback module in host computer virtual environment module
Connection.
3. neurosurgery sickbed auxiliary device as described in claim 1, which is characterized in that the MIM message input module is used for
Provide that index is normal, judging result of Indexes Abnormality, severely subnormal according to comparison；When Indexes Abnormality, submodule of registering can be linked
Block, for submodule of registering for selecting hospital and doctor, the request that is also used to register is transmitted to hospital's terminal system；Work as severely subnormal
When, start automatic alarm submodule so that help information to be transmitted to the intelligent mobile of hospital monitoring center and nurses end；
Outpatient service receives end module and receives end module for receiving register request and help information that MIM message input module transmits, outpatient service
Patient diagnosis result is transmitted to hospital monitoring center, diagnostic message is also returned into Mobile nursing database simultaneously, admissions office connects
Destination module is also used to returning to medical information into Mobile nursing database for generating hospitalization information, medical information.
4. neurosurgery sickbed auxiliary device as described in claim 1, which is characterized in that the neurosurgery hospital bed auxiliary
Device further includes a remote diagnosis end, which includes：
One interrogation end, connect with electronic health record device；
An at least expert end is remotely connect by internet with the interrogation end；
One data cutout repeater assembly is connect with the electronic health record device, and the data cutout repeater assembly is lossless
Lossless or lossy compression is carried out after data information in interception electronic health record device；
One network security transmission component is connect with the data cutout repeater assembly, will be received from data cutout transponder
The data information of component is decrypted and encrypts；
One data relay server component is connect with the network security transmission component, the data relay server component
The data information that network security transmission component is sent is received, and sends corresponding expert end for the data information；
One real-time behavior mastering component comprising the first sub- mastering component set on interrogation end and the second son pipe set on expert end
Component is controlled, is connected with network security transmission component and data in turn between the second sub- mastering component and the first sub- mastering component
It is simultaneously passed through network security transmission group by transfer server component, the operational motion at second sub- mastering component record expert end
Part and data transfer server component are transmitted to the first sub- mastering component, carry out operation at interrogation end by the first sub- mastering component and move
The reduction of work；
Server is managed in one remote medical consultation with specialists, and passing through internet respectively, with interrogation end and at least an expert end is connect, to end of holding a consultation
It is managed with the user at expert end.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810328395.6A CN108852694A (en) | 2018-04-13 | 2018-04-13 | A kind of neurosurgery sickbed auxiliary device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810328395.6A CN108852694A (en) | 2018-04-13 | 2018-04-13 | A kind of neurosurgery sickbed auxiliary device |
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| Publication Number | Publication Date |
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| CN108852694A true CN108852694A (en) | 2018-11-23 |
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| CN201810328395.6A Withdrawn CN108852694A (en) | 2018-04-13 | 2018-04-13 | A kind of neurosurgery sickbed auxiliary device |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115410707A (en) * | 2022-10-31 | 2022-11-29 | 西南石油大学 | Remote diagnosis and treatment and rehabilitation system for knee osteoarthritis |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115410707A (en) * | 2022-10-31 | 2022-11-29 | 西南石油大学 | Remote diagnosis and treatment and rehabilitation system for knee osteoarthritis |
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