CN110353629A - A kind of electronics backbone measurement intelligent evaluation system - Google Patents
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- CN110353629A CN110353629A CN201910638128.3A CN201910638128A CN110353629A CN 110353629 A CN110353629 A CN 110353629A CN 201910638128 A CN201910638128 A CN 201910638128A CN 110353629 A CN110353629 A CN 110353629A
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- 238000011156 evaluation Methods 0.000 title claims abstract description 11
- 238000005259 measurement Methods 0.000 title claims description 34
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- 238000005452 bending Methods 0.000 claims abstract description 13
- 238000012545 processing Methods 0.000 claims abstract description 11
- 238000003745 diagnosis Methods 0.000 claims abstract description 9
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- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 claims abstract description 8
- 230000005540 biological transmission Effects 0.000 claims abstract description 7
- 238000010835 comparative analysis Methods 0.000 claims abstract description 3
- 210000000115 thoracic cavity Anatomy 0.000 claims description 22
- 238000000034 method Methods 0.000 claims description 9
- 206010039722 scoliosis Diseases 0.000 claims description 8
- 238000004458 analytical method Methods 0.000 claims description 6
- 210000000988 bone and bone Anatomy 0.000 claims description 6
- 230000004927 fusion Effects 0.000 claims description 6
- 230000001133 acceleration Effects 0.000 claims description 4
- 206010023509 Kyphosis Diseases 0.000 claims description 3
- 230000008569 process Effects 0.000 claims description 3
- 230000000877 morphologic effect Effects 0.000 claims description 2
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- 208000020307 Spinal disease Diseases 0.000 description 4
- 230000000694 effects Effects 0.000 description 3
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- 230000008859 change Effects 0.000 description 2
- 238000000354 decomposition reaction Methods 0.000 description 2
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- 239000011159 matrix material Substances 0.000 description 2
- 235000008331 Pinus X rigitaeda Nutrition 0.000 description 1
- 235000011613 Pinus brutia Nutrition 0.000 description 1
- 241000018646 Pinus brutia Species 0.000 description 1
- 206010041591 Spinal osteoarthritis Diseases 0.000 description 1
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- 208000036319 cervical spondylosis Diseases 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 230000001687 destabilization Effects 0.000 description 1
- 230000006866 deterioration Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 239000011888 foil Substances 0.000 description 1
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- 238000007781 pre-processing Methods 0.000 description 1
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- A61B5/00—Measuring for diagnostic purposes; Identification of persons
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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
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7225—Details of analog processing, e.g. isolation amplifier, gain or sensitivity adjustment, filtering, baseline or drift compensation
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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
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7271—Specific aspects of physiological measurement analysis
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Abstract
The invention discloses a kind of electronics backbones to measure intelligent evaluation system, including upper computer and lower computer.Host computer includes man-machine interface part, slave computer includes power supply, data acquisition module and data processing module, data acquisition module includes IMU sensor and displacement sensor, and the data processing module includes serial ports, Master control chip, TFT-LCD display screen and pin-saving chip.Module carries out data transmission host computer with slave computer by wireless communication.The present invention combines displacement sensor with IMU sensor, displacement of the slave computer in human spine sliding is measured by displacement sensor, nine axis initial data of human spine are measured using IMU sensor, resolving obtains rear salient angle, lateral bending angle and the side salient angle of backbone, it saves data and is uploaded to database, by the backbone matched curve and the comparative analysis of standard spinal form of host computer interface, corresponding diagnosis report is printed, thus auxiliary diagnosis human spine disease.
Description
Technical field
The invention belongs to medical instruments fields, are related to a kind of electronics backbone measurement intelligent evaluation system.
Background technique
Backbone is origin of hundreds of diseases, at present the form of expression of spinal problems are as follows: (1) backbone patient groups are big.The mankind nearly 85%
Disease derive from backbone, 80% or more teenager of China, cervical vertebra is in sub-health state, and 30 years old or more nearly 30% people is
It will appear backbone bone deterioration and joint destabilization disease, the disease incidence of children's The Treatment of Scoliosis is up to 25% or more, middle-aged population 97%
With various forms of spinal diseases, 50-60 years old cervical spondylosis illness rate is up to 50%, 80% the elderly's vertebra lateral bending disease source
In the Childhood.(2) spinal disease harm is big.Spinal problems directly result in physical shapes and change, and cause cardiopulmonary and stomach
Function reduction influences psychology and physiological health etc..(3) limitation uses.Conventional spinal diagnosis uses X-ray, CT examination, though measurement essence
Really, but radiation has certain side effect to human body, especially generates a degree of influence to teen-age growth and development.Core
Though magnetic resonance is radiationless, price is not human-oriented, more expensive for opposite most people.Therefore, for backbone measuring instrument
Design has good clinical value and realistic meaning.
There are the state of Switzerland Idiag Spinal Mouse, Israel pine ScanTM, Japan PA200LE currently on the market
Outer competing product, expensive, operability is cumbersome.Since spine healthy data are private data, there is data leak using overseas equipment
Risk.Domestic hundred million health EK- series of products of Jiangsu are complicated for operation using foil gauge measurement, and measurement method has certain problems.
Therefore, it is necessary for possessing a autonomous electronics backbone measuring instrument from wound.
Summary of the invention
It is an object of the invention to propose a kind of electronics backbone measurement intelligent evaluation system, by slave computer to human body ridge
The acquisition of column data is realized the communication between slave computer and host computer using wireless transport module, is intuitively seen in host computer interface
Measure the matched curve of backbone, the diagnostic analysis report of gyro data curve graph and spinal disease.
Realize technical solution of the invention are as follows: a kind of electronics backbone measurement intelligent evaluation system, including power supply, number
According to acquisition module, data memory module, data disaply moudle, wireless communication module and host computer.
Wherein:
The power supply is data acquisition module, data processing module power supply.
The data acquisition module includes displacement sensor and IMU sensor, and IMU and photoelectric sensor pass through signal wire
It is connect with Master control chip.Displacement sensor not only facilitates the position of backbone when measurement is accurately positioned, and can also realize any
The purpose of position precise measurement.3-axis acceleration of the slave computer in backbone measurement process, angle speed are acquired by IMU sensor
Degree and magnetometer data.
The data processing module includes Master control chip, serial ports, TFT-LCD and pin-saving chip, Master control chip
It is connect by signal wire with serial ports, TFT-LCD and data storage module.The displacement of acquisition and initial data are by Master control chip
By 5 points of filter preprocessings three times, angular speed is extracted using gyroscope sparse decomposition, selects the information fusion based on quaternary number
Form computation obtains rear salient angle, lateral bending angle and the side salient angle data of backbone, and finally obtained spine form information exists
TFT-LCD screen is shown and module is sent to host computer by wireless communication.
The wireless communication module includes Bluetooth communication, is mainly responsible for that data are sent in real time is upper by treated
Machine.
The host computer interface is logical to click Settings button selection serial port and baud rate size；It clicks
GyroscopeCurve button can be in new window real-time rendering gyroscope curve；Reset button can be clicked to re-measure；Measurement
When curve exceeds backbone normal deformation degree, host computer can make a sound warning note；Measurement terminates to click SaveData button
It can be reserved for data and generate corresponding analysis report.By acquiring multi-group data, backbone is drawn using mean value weight fusion algorithm
Matched curve generates diagnosis report with standard spinal comparative analysis.
Human spine is divided into cervical vertebra, four part of thoracic vertebrae, lumbar vertebrae and tail bone, and every part is divided into several pieces again.
The fitting spine form approximating method, steps are as follows:
1. measuring human spine N group morphological data by slave computer, it is denoted as DN=[x0 … xi … xN]TWherein, xi=[si,
pi,ri,yi], i=1,2 ... N, N > > 24, wherein s is the displacement of measurement, and p is the rear salient angle (pitch) of backbone, and r is ridge
Column side salient angle (roll), y are scoliosis angle (yaw).
2. being denoted as x using the tail bone of patient as initial value reference quantity0=[s0,p0,r0,y0].The distance between every piece of vertebra note
For l=[l0,l1,…,l24], the form and displacement information of every piece of vertebra are denoted as, Vj=[vsj,vpj,vrj,vyj], constitute human body
Vertebra matrix is Mspine=[V1,…,Vj,…,V24] T, j=1,2 ..., 24.
3. according to measurement data DNWith every piece of vertebra distance l, the vector of available every piece of vertebra, by taking thoracic vertebrae as an example, if measurement
The data of thoracic vertebrae are in x1To xnBetween, displacement difference is Δ s=sn-s1, the thoracic vertebrae distance of measurement isI.e.Wherein d
It indicates displacement error, m data is merged, wherein m=n-1.Average value, standard deviation, mark are solved to m data first
Quasi- difference coefficient and weight coefficient, following formula:
Average valueStandard deviation
Coefficient of standard deviationAnd weight coefficient
4. wherein,Respectively indicate the average value of displacement, standard deviation, coefficient of standard deviation and weight coefficient；Respectively indicate average value, standard deviation, coefficient of standard deviation and the weight coefficient at thoracic kyphosis angle；Respectively indicate average value, standard deviation, coefficient of standard deviation and the weight coefficient at idiopathic thoracic scoliosiss angle；Respectively indicate average value, standard deviation, coefficient of standard deviation and the weight coefficient at thoracic vertebrae lateral bending angle.
Mean value weight coefficient fusion formula is carried out to m data by priori are as follows:
5. passing through measurement data DNThe audio-visual picture for draw backbone curve, is divided into the intuitive lateral bending angle figure of backbone and backbone is intuitive
Salient angle figure afterwards, respectively with abscissa vy and vp, draws two-dimensional curve audio-visual picture with ordinate vs.
Detailed description of the invention
Fig. 1 is overall construction drawing of the present invention.
Fig. 2 is that host computer of the present invention realizes Functional Design flow chart.
Fig. 3 is host computer display interface design drawing of the present invention.
Specific embodiment
With reference to Fig. 1, the present invention provides a kind of electronics backbone measuring instrument intelligent evaluation systems, including power supply, data to acquire
Module, data processing module, wireless communication module and epigynous computer section.Power supply is powered to slave computer, when spinal disease diagnoses,
Nine axis initial data of displacement and corresponding backbone in data collecting module collected slave computer moving process, at data
Reason, spine form resolve to obtain spine form information, and real-time data transmission to host computer is carried out backbone by wireless transport module
Medical diagnosis on disease.
Displacement sensor uses photoelectric effect principle in data acquisition module, is converted non-electrical signal using photoelectric cell
For the photoelectric sensor of electric signal, by displacement of the displacement sensor slave computer when human spine slides, to have
Tail bone, sacral, lumbar vertebrae, thoracic vertebrae and the cervical vertebra of effect positioning backbone realize the freely independent measurement at each position of backbone.IMU is passed
Sensor uses MPU-9250, measures the 3-axis acceleration, angular speed, magnetometer information at each position of backbone in real time.
Data processing module uses ATSAMD21G18 for Master control chip, realizes and carries out at 5 points to the data collected
It is filtered three times, angular velocity carries out the extraction of gyroscope sparse decomposition, is resolved using the information fusion form based on quaternary number
Method obtains the shape information of backbone.Screen shows rear salient angle, side salient angle and the lateral bending angular data of backbone using TFT-LCD.
Wireless communication module uses HC-05 bluetooth serial ports transparent transmission communication module.Based on Bluetooth Specification
Digital transmission module of the V2.0 with EDR Bluetooth protocol.Wireless working frequency range is 2.4GHz ISM, and modulation system is GFSK.Module is maximum
Transmission power is 4dBm, receiving sensitivity -85dBm, and 10 meters of distance communications may be implemented in onboard PCB antenna.
With reference to Fig. 2, host computer from system initialization, data check extraction, Data Analysis Services, real-time rendering lateral bending and
Kyphotic curvature saves data, generates backbone measurement analysis report, is uploaded to these aspect designs of specialized server.System is initial
Change is before host computer receives terminal reception data by bluetooth serial ports, to be initialized, including serial ports selection, serial ports are joined
Number setting connects setting with bluetooth slew.Data check verifies the data received using CRC method.Draw curve
The fitting of original measurement data and the form angle progress spine form curve calculated is received by host computer.Save number
According to being to save processing result at PDF format and carry out electronic archive together with measurement data and tested patient information, it is uploaded to
Specialized server.
For spine form analysis, design spine form curve-fitting method: backbone measuring terminals measure N group data, are denoted as
DN=[x0 … xi … xN]T, wherein xi=[si,pi,ri,yi], i=1,2 ... N, N > > 24, wherein s is the position of measurement
Shifting amount, p are the rear salient angle of backbone, and r is scoliosis angle, and y is scoliosis angle.It is referred to the coccyx of patient as initial value
Amount, is denoted as x0=[s0,p0,r0,y0].The distance between every piece of vertebra is denoted as l=[l0,l1,…,l24], the form of every piece of vertebra
V is denoted as with displacement informationj=[vsj,vpj,vrj,vyj], composition human vertebrae matrix is Mspine=[V1,…,Vj,…,V24]T,
J=1,2 ..., 24.According to measurement data DNWith every piece of vertebra distance l, the vector of available every piece of vertebra is with thoracic vertebrae
Example, if the data of measurement thoracic vertebrae are in x1To xnBetween, displacement difference is Δ s=sn-s1, the thoracic vertebrae distance of measurement isI.e.Wherein d indicates displacement error, m data is merged, wherein m=n-1.M data is solved first flat
Mean value, standard deviation, coefficient of standard deviation and weight coefficient, following formula:
Average valueStandard deviation
Coefficient of standard deviationAnd weight coefficient
Wherein,Respectively indicate the average value of displacement, standard deviation, coefficient of standard deviation and weight system
Number；Respectively indicate average value, standard deviation, coefficient of standard deviation and the weight coefficient at thoracic kyphosis angle；Respectively indicate average value, standard deviation, coefficient of standard deviation and the weight coefficient at idiopathic thoracic scoliosiss angle；Respectively indicate average value, standard deviation, coefficient of standard deviation and the weight coefficient at thoracic vertebrae lateral bending angle.
Mean value weight coefficient fusion formula is carried out to m data by priori are as follows:
Pass through measurement data DNThe audio-visual picture for draw backbone curve, is divided into the intuitive lateral bending angle figure of backbone and backbone is straight
Salient angle figure after sight is vs with ordinate, respectively with abscissa for vy and vp, draws two-dimensional curve audio-visual picture.
With reference to Fig. 3, the signals such as acceleration, angular speed and magnetic field strength that measuring terminals measure and the backbone calculated
Form angle reaches host computer by bluetooth wireless transmission module, function embodiment serial port, baud rate parameter setting is arranged, from prison
It surveys interface and sees that the gyro data curve that the function key in the upper left corner may be implemented to measure in real time is shown, data save and operation
Not resetting measurement at that time；It more can intuitively show coronal-plane pitch angle, horizontal plane roll angle and the azimuthal numerical value of sagittal plane,
The lateral bending and kyphotic curvature of real-time rendering backbone issue red alarm and auditory tone cues when curve deformation normal beyond backbone.
Claims (4)
1. a kind of electronics backbone measures intelligent evaluation system, including upper computer and lower computer, upper computer and lower computer passes through wireless
Data transmission is realized in communication module connection, which is characterized in that
Slave computer includes power supply, data acquisition module, data processing module；Power supply respectively with data acquisition module, data processing
Module connection is simultaneously powered to it；Data acquisition module includes displacement sensor and IMU sensor, IMU sensor and displacement sensing
Device is connect with Master control chip respectively by signal wire, and data processing module includes Master control chip, serial ports, TFT-LCD sum number
According to storage chip；Serial ports, TFT-LCD and data processing chip pass through signal wire respectively and connect with Master control chip；
Host computer includes that gyro data curve can be made, measure diagnosis resetting, disease alarm, save data and diagnosis report；
Slave computer slips at backbone position during diagnosis, displacement data of the Master control chip real-time reception from displacement sensor
And acceleration, the angular speed, magnetometer data of IMU sensor acquisition, it resolves to obtain rear salient angle, the lateral bending of backbone by form
Angle, side salient angle data, finally by obtained spine form information preservation, module is sent out to pin-saving chip and by wireless communication
It send to host computer, and diagnosis report is generated by backbone matched curve comparative analysis in host computer interface.
2. a kind of electronics backbone measuring instrument intelligent evaluation system according to claim 1, it is characterised in that: radio communication mold
Block is connect by signal wire with Master control chip, and responsible by treated, shape information is sent to host computer.
3. a kind of electronics backbone according to claim 1 measures intelligent evaluation system, it is characterised in that: serial communication setting
When click the Settings button of host computer interface, select serial port and baud rate size；Click GyroscopeCurve button
Open new window real-time display gyroscope curve；In measurement process when misoperation, Reset button can be clicked and re-measured；
When experiment curv exceeds backbone normal deformation degree, host computer makes a sound warning note；It is clicked at the end of measurement
SaveData button saves data and generates corresponding analysis report.
4. a kind of electronics backbone according to claim 1 measures intelligent evaluation system, it is characterised in that: for spine form point
Analysis, using the method for spine form matched curve, the specific steps are as follows:
1. measuring human spine N group morphological data by slave computer, it is denoted as DN=[x0 … xi … xN]TWherein, xi=[si,
pi,ri,yi], i=1,2 ... N, N > > 24, wherein s is the displacement of measurement, and p is the rear salient angle (pitch) of backbone, and r is ridge
Column side salient angle (roll), y are scoliosis angle (yaw).
2. being denoted as x using the coccyx of patient as initial value reference quantity0=[s0,p0,r0,y0].The distance between every piece of vertebra is denoted as
L=[l0,l1,…,l24], the form and displacement information of every piece of vertebra are denoted as, Vj=[vsj,vpj,vrj,vyj], constitute human body vertebra
Bone matrix is Mspine=[V1,…,Vj,…,V24] T, j=1,2 ..., 24.
3. backbone is divided into cervical vertebra, four part of thoracic vertebrae, lumbar vertebrae and tail bone, every part is divided into several pieces of vertebras again, according to measurement data DN
With every piece of vertebra distance l, the vector of cervical vertebra, thoracic vertebrae, lumbar vertebrae and tail bone can be obtained；By taking thoracic vertebrae as an example, if the data of measurement thoracic vertebrae
In x1To xnBetween, displacement difference is Δ s=sn-s1, the thoracic vertebrae distance of measurement isI.e.Wherein d indicates displacement error,
M data is merged, wherein m=n-1.Average value, standard deviation, coefficient of standard deviation and weight are solved to m data first
Coefficient, following formula:
Average valueStandard deviation
Coefficient of standard deviationAnd weight coefficient
4. wherein,Respectively indicate the average value of displacement, standard deviation, coefficient of standard deviation and weight coefficient；Respectively indicate average value, standard deviation, coefficient of standard deviation and the weight coefficient at thoracic kyphosis angle；Respectively indicate average value, standard deviation, coefficient of standard deviation and the weight coefficient at idiopathic thoracic scoliosiss angle；Respectively indicate average value, standard deviation, coefficient of standard deviation and the weight coefficient at thoracic vertebrae lateral bending angle.
Carrying out mean value weight coefficient fusion formula to m data by priori is
5. passing through measurement data DNCarry out draw backbone curve audio-visual picture, be divided into the intuitive lateral bending angle figure of backbone and backbone it is intuitive after
Salient angle figure, respectively with abscissa vy and vp, draws two-dimensional curve audio-visual picture with ordinate vs.
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| CN110772257A (en) * | 2019-10-31 | 2020-02-11 | 朱志斌 | Hand-held type spinal static curvature's detection device |
| CN113288422A (en) * | 2020-05-22 | 2021-08-24 | 河南省洛阳正骨医院（河南省骨科医院） | Positioning and guiding system for spinal surgery |
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