CN108333126A - A kind of real-time dynamic spectrum cerebrospinal fluid monitoring system of artificial intelligence - Google Patents
A kind of real-time dynamic spectrum cerebrospinal fluid monitoring system of artificial intelligence Download PDFInfo
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- CN108333126A CN108333126A CN201810042375.2A CN201810042375A CN108333126A CN 108333126 A CN108333126 A CN 108333126A CN 201810042375 A CN201810042375 A CN 201810042375A CN 108333126 A CN108333126 A CN 108333126A
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Abstract
The present invention discloses a kind of real-time dynamic spectrum cerebrospinal fluid monitoring system of artificial intelligence,Including computer,Light source,Cerebrospinal fluid container,Optical frequency rate converter,Display screen and wireless communication module,The optical frequency rate converter,Display screen and wireless communication module are electrically connected with computer,The cerebrospinal fluid container is arranged in ware shape,The cerebrospinal fluid container upper cover has reflecting cover,The reflecting cover is connect with cerebrospinal fluid container threads,The cerebrospinal fluid container is transparent setting,The light source is located at the inner wall of the cerebrospinal fluid container,It is provided with embedded groove on the inner wall of the cerebrospinal fluid container,The light source is embedded into being arranged in embedded groove,The slot bottom of the light source and embedded groove is detachably connected,The light source and embedded groove are arranged in a ring,The optical frequency rate converter is located in the middle part of the bottom surface of cerebrospinal fluid container,The optical frequency rate converter is embedded in the setting of cerebrospinal fluid container；The real-time dynamic spectrum cerebrospinal fluid monitoring system of the artificial intelligence can meet the needs of modern medicine.
Description
Technical field
The present invention relates to the field of medical instrument technology, it particularly relates to a kind of real-time dynamic spectrum brain ridge of artificial intelligence
Liquid monitors system.
Background technology
Cerebrospinal fluid (Cerebro-Spinal Fluid, CSF) cerebrospinal fluid be water white transparency liquid, be filled in each ventricles of the brain,
In cavum subarachnoidale and myelocoele.Cerebrospinal fluid is generated by the choroid plexus in the ventricles of the brain, similar to the property of blood plasma and lymph,
Somewhat viscous.About 100-150 milliliters of the cerebrospinal fluid of normal adult, proportion 1 are in alkalescent, are free of red blood cell, but every
Containing about 5 lymphocytes in cubic millimeter.Estimation of cerebrospinal fluid flow in normal volunteers has certain chemical composition and pressure, to maintaining the opposite of cranium pressure
Stabilization plays an important role.When suffering from central nervous system disease, it is often required to make lumbar puncture absorption examination of cerebrospinal fluid, to assist to examine
It is disconnected.The character and pressure of cerebrospinal fluid are influenced by many factors, if lesion occurs for central nervous system, the metabolism of nerve cell is disorderly
Disorderly, the character for making cerebrospinal fluid and ingredient are changed；If the circulating path of cerebrospinal fluid is obstructed, intracranial pressure will increase.Therefore,
When central nervous system is damaged, the detection of cerebrospinal fluid becomes important one of auxiliary diagnosis means.
Traditional cerebrospinal fluid is that with the naked eye the color according to cerebrospinal fluid and transparency differentiate.This conventional method is very not
Science has been unsatisfactory for the needs of modern medicine.
Invention content
The technical problem to be solved in the present invention is to provide a kind of work intelligence for needing people that can meet modern medicine is dynamic in real time
State spectrum cerebrospinal fluid monitors system.
To solve the above problems, the present invention adopts the following technical scheme that：
A kind of real-time dynamic spectrum cerebrospinal fluid monitoring system of artificial intelligence, including computer, light source, cerebrospinal fluid container, light
Frequency converter, display screen and wireless communication module, the optical frequency rate converter, display screen and wireless communication module with calculating
Machine is electrically connected, and the cerebrospinal fluid container is arranged in ware shape, and the cerebrospinal fluid container upper cover has reflecting cover, the reflecting cover and brain
Spinal fluid container threads connect, and the cerebrospinal fluid container is transparent setting, and the light source is located at the inner wall of the cerebrospinal fluid container, institute
It states and is provided with embedded groove on the inner wall of cerebrospinal fluid container, the light source is embedded into being arranged in embedded groove, the light source and embedded groove
Slot bottom be detachably connected, the light source and embedded groove are arranged in a ring, and the optical frequency rate converter is located at cerebrospinal fluid container
Bottom surface in the middle part of, the optical frequency rate converter be embedded in cerebrospinal fluid container setting.
Preferably, the optical frequency rate converter is RGB color light/frequency converter, even background color has carefully
The color of micro- difference may also detect that processing speed is fast.It is automatic to adapt to wavelength, the small differences of gray value can be detected.
Preferably, being provided with tenon on the slot bottom of the embedded groove, the slot bottom bonding of the tenon and embedded groove is described
The mortise to match with tenon is provided on light source, the light source passes through tenon and the removable company of mortise with the slot bottom with embedded groove
It connects, light source is good in embedded groove internal stability, and light source is convenient for disassembly and assembly.
Preferably, the light source is LED light strip, LED light strip service life is long, and very energy saving and environmentally protective.
Preferably, the wireless communication module is zigbee modules, the low-power consumption of zigbee modules, low cost, low complexity
Degree, can be conducive to equipment promotion and utilization.
The present invention also provides the detection method that a kind of real-time dynamic spectrum cerebrospinal fluid of artificial intelligence monitors system, including it is following
Step：
1) diagnostic model for establishing the general trait data of cerebrospinal fluid, and diagnostic model is trained；
2) character for using optical frequency rate converter detection cerebrospinal fluid, is then input in diagnostic model and is diagnosed；
3) result is exported.
Further, the training of the step 1) be 1600-2700 by being provided previously to mutual corresponding input and
Potential rule between the two is grasped in output data, analysis.
Further, the general character of the cerebrospinal fluid includes color trait and transparency character.
Further, the diagnostic model is the diagnostic model of neural network.
Principle：
The present invention uses digital photoelectric sensor.This digital photoelectric sensor can be exported with Direct Digital amount, be simplified
Circuit, prevents signal distortion.This digital photoelectric sensor has three groups of photoelectric receiving tubes, is respectively red (R), green (G), blue
(B).It is covered with full spectrum.When cerebrospinal fluid by when its color and transparency will be shown with the digital quantity of RGB.Here the number of RGB
Amount is raw data set.After normalization converts, magnitude will be in (0,1) section.It can serve as the input of neural network
Transfer to computer disposal.The color for the object that we are usually seen, actually body surface, which absorb, to be irradiated to above it
White light (daylight) in a part of colored component, and reaction of another part colored light reflected in human eye.White is
Mixed and constituted by the visible light of various frequencies, that is to say, that include in white light a variety of colors coloured light (such as red R,
Yellow Y, green G, blueness V, indigo plant B, purple P).It is theoretical it is found that each according to the three primary colors of roentgen Helmholtz (Helinholtz)
Kind color is mixed by the three primary colors (red, green, blue) of different proportion.By three primary colors principle of induction above it is found that such as
Fruit knows the trichromatic value for constituting a variety of colors, it will be able to know the color of institute's test object.
The present invention integrates red, green and blue filter using digitized colourama/frequency sensor, this sensor
On a single chip, the resolution ratio of every chrominance channel 10 or more is achieved that without ADC.Piece includes the 8 × 8 of an interconnection
Photodiode array shares red, blue, the green and optical information that clears all wherein every 16 diodes provide a kind of coloured typies
Four types can reduce the inhomogeneities that incident light width is penetrated to the maximum extent.16 photodiodes of all same colors are all
It is connected in parallel.When selecting a color filter, it only allows certain specific primary colors to pass through, and prevents the logical of other primary colors
It crosses.Such as：When selecting red filter, only have red that can pass through in incident light, blue and green are all prevented from, thus
It can obtain the light intensity of red light；Similarly, other filters are selected, so that it may to obtain the light intensity of blue light and green light.It is logical
Cross these three values, so that it may the color of the light on sensor is projected with analysis.Equally, digitized colourama/frequency sensor
Also have its distinctive feature to the processing of transparency, generally visually can not by it is transparent and it is muddy offer a clear explanation, can only probably retouch
It states, and our digitized light/frequency sensor is to transparent and muddy can be quantified with number.From transparent to muddiness
Several grades can be differentiated into, then by artificial neural network, it is impossible transparent and muddy can easily to complete naked eyes
Resolution problems.
The rgb value of magnanimity is handled using neural network model.Artificial intelligence is a branch of computer science, is to relate to
And build a kind of theory of machine.Research to artificial intelligence has two kinds of methods of functional simulation and the simulation of physiological structure of realization,
The former i.e. usually said artificial intelligence (AI), the latter, that is, artificial neural network (ANN) artificial neural network have self study and
Adaptive ability can be analyzed and grasped between the two by the mutual corresponding input-output data of a batch being provided previously
Potential rule enters data to calculate output the process quilt as a result, this study analysis finally according to these rules with new
Referred to as " training ".
Similar with biological nervous system, it is that basic unit is constituted that artificial neural network, which is also by artificial neuron,.Manually
Neuron is the mathematical model for simulating biological neuron, is the basic material unit of artificial neural network, while being also more than one
Input/mono- non-linear element exported.
Each input connection of neuron as shown in Figure 3 has synaptic connection strengths, is indicated with a connection weight,
The signal that will be generated is amplified by bonding strength, and accordingly there are one associated weights (Wi) for each input quantity (Pi).
Processing unit quantifies the input Jing Guo weight, is then added and acquires the sum of its weighted value, calculates unique output quantity, this
Output quantity (a) is the function of weight sum, this function is generally referred to as transmission function.This process can be formulated as：
Wherein a indicates the transmission function that this neuron uses.
Here Pi is the rgb value that we obtain.
Neural network is made of the processing unit of arrangement stratification, and the neuronal layers for receiving input signal claim input layer, output
The neuronal layers of signal claim output layer, not direct to be known as middle layer or hidden layer with the neuronal layers that input/output is related.
Next it is exactly study and training after the model structure of neural network determines.
The present invention uses supervised learning algorithm.Input and correctly output are provided simultaneously, and network is according to current output
Network adjustment is carried out with required target output difference, network is made to make correct reaction.Supervised learning algorithm needs big
The normal data of amount.Standard sample database need to be established.Cerebrospinal fluid data standard sample database is also a blank, our work at present
It needs the data and clinical manifestation that are obtained with spectroscopic methodology establishing standard sample database.The rgb value that will be obtained and clinical manifestation inspection
The relationship for testing the foundation such as data enters network data base.
Beneficial effects of the present invention are：By using digital photoelectric sensor by the real-time dynamic number of the spectrum of cerebrospinal fluid
Word collects, and the cerebrospinal fluid spectroscopic data quantified, then coupled computer analyzes the data of cerebrospinal fluid again,
To obtain a result, it can effectively mitigate the work load of staff, in addition, optical frequency rate converter is RGB color light/frequency
Rate converter, even background color has the color of fine distinction to may also detect that processing speed is fast.It is automatic to adapt to wave
It is long, the small differences of gray value can be detected.It is provided with tenon on the slot bottom of embedded groove, the slot bottom of tenon and embedded groove bonds,
The mortise to match with tenon is provided on light source, light source passes through tenon and mortise releasable connection, light with the slot bottom with embedded groove
Source is good in embedded groove internal stability, and light source is convenient for disassembly and assembly.Light source is LED light bar, and LED light strip service life is long, and very
It is energy saving and environmentally protective.Wireless communication module is zigbee modules, and the low-power consumption of zigbee modules, low cost, low complex degree can
To be conducive to equipment promotion and utilization.
Description of the drawings
It in order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, below will be to institute in embodiment
Attached drawing to be used is needed to be briefly described, it should be apparent that, the accompanying drawings in the following description is only some implementations of the present invention
Example, for those of ordinary skill in the art, without creative efforts, can also obtain according to these attached drawings
Obtain other attached drawings.
Fig. 1 is the overall structure diagram that a kind of real-time dynamic spectrum cerebrospinal fluid of artificial intelligence of the present invention monitors system；
Fig. 2 is RGB color light/frequency turn that a kind of real-time dynamic spectrum cerebrospinal fluid of artificial intelligence of the present invention monitors system
Parallel operation schematic diagram.
Fig. 3 is artificial neuron models.
Fig. 4 is the partial cutaway for the cerebrospinal fluid container that a kind of real-time dynamic spectrum cerebrospinal fluid of artificial intelligence of the present invention monitors system
Face figure.
In figure：
1, computer；2, light source；3, cerebrospinal fluid container；4, optical frequency rate converter；5, display screen；6, wireless communication module；
7, reflecting cover；8, embedded groove；9, tenon.
Specific implementation mode
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation describes, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, the every other embodiment that those of ordinary skill in the art are obtained belong to what the present invention protected
Range.
Embodiment 1
As shown in figs. 1 and 4, a kind of real-time dynamic spectrum cerebrospinal fluid of artificial intelligence monitors system, including computer 1, light source
2, cerebrospinal fluid container 3, optical frequency rate converter 4, display screen 5 and wireless communication module 6, the optical frequency rate converter 4, display screen 5
It is electrically connected with computer 1 with wireless communication module 6, the cerebrospinal fluid container 3 is arranged in ware shape, the cerebrospinal fluid container 3
On be stamped reflecting cover 7, the reflecting cover 7 is threadedly coupled with cerebrospinal fluid container 3, the cerebrospinal fluid container 3 be transparent setting, it is described
Light source 2 is located at the inner wall of the cerebrospinal fluid container 3, is provided with embedded groove 8 on the inner wall of the cerebrospinal fluid container 3, the light source 2 is embedding
Enter in setting, the light source 2 and the slot bottom of embedded groove 8 in embedded groove 8 and be detachably connected, the light source 2 and embedded groove 8 are in
Annular setting, the optical frequency rate converter 4 are located in the middle part of the bottom surface of cerebrospinal fluid container 3, and the optical frequency rate converter 4 is embedded in
Cerebrospinal fluid container 3 is arranged.It will be under the spectrum of cerebrospinal fluid in real time dynamic digitalized acquisition by using digital photoelectric sensor
Come, the cerebrospinal fluid spectroscopic data quantified, then coupled computer analyzes the data of cerebrospinal fluid again, to obtain knot
Fruit can effectively mitigate the work load of staff.
The present embodiment has the beneficial effect that：By using digital photoelectric sensor by the real-time dynamic of the spectrum of cerebrospinal fluid
Digital collection gets off, and the cerebrospinal fluid spectroscopic data quantified, then coupled computer is divided the data of cerebrospinal fluid again
Analysis, to obtain a result, can effectively mitigate the work load of staff.
Embodiment 2
As shown in figs. 1 and 4, a kind of real-time dynamic spectrum cerebrospinal fluid of artificial intelligence monitors system, including computer 1, light source
2, cerebrospinal fluid container 3, optical frequency rate converter 4, display screen 5 and wireless communication module 6, the optical frequency rate converter 4, display screen 5
It is electrically connected with computer 1 with wireless communication module 6, the cerebrospinal fluid container 3 is arranged in ware shape, the cerebrospinal fluid container 3
On be stamped reflecting cover 7, the reflecting cover 7 is threadedly coupled with cerebrospinal fluid container 3, the cerebrospinal fluid container 3 be transparent setting, it is described
Light source 2 is located at the inner wall of the cerebrospinal fluid container 3, is provided with embedded groove 8 on the inner wall of the cerebrospinal fluid container 3, the light source 2 is embedding
Enter in setting, the light source 2 and the slot bottom of embedded groove 8 in embedded groove 8 and be detachably connected, the light source 2 and embedded groove 8 are in
Annular setting, the optical frequency rate converter 4 are located in the middle part of the bottom surface of cerebrospinal fluid container 3, and the optical frequency rate converter 4 is embedded in
Cerebrospinal fluid container 3 is arranged.The optical frequency rate converter 4 is RGB color light/frequency converter, even background color has carefully
The color of micro- difference may also detect that processing speed is fast.It is automatic to adapt to wavelength, the small differences of gray value can be detected.
Tenon 9 is provided on the slot bottom of the embedded groove 8, the tenon 9 and the slot bottom of embedded groove 8 are bonded, be provided on the light source 2
The mortise (not shown) to match with tenon 9, the light source 2 with the slot bottom of embedded groove 8 by tenon and mortise releasable connection,
Light source 2 is good in 8 internal stability of embedded groove, and light source is convenient for disassembly and assembly.The light source 2 is LED light strip, LED light strip service life
It is long and very energy saving and environmentally protective.
The present embodiment has the beneficial effect that：By using digital photoelectric sensor by the real-time dynamic of the spectrum of cerebrospinal fluid
Digital collection gets off, and the cerebrospinal fluid spectroscopic data quantified, then coupled computer is divided the data of cerebrospinal fluid again
Analysis, to obtain a result, can effectively mitigate the work load of staff, in addition, optical frequency rate converter is RGB color
Light/frequency converter, even background color has the color of fine distinction to may also detect that processing speed is fast.Automatically
Wavelength is adapted to, the small differences of gray value can be detected.Tenon, the slot bottom of tenon and embedded groove are provided on the slot bottom of embedded groove
It bonds, the mortise to match with tenon is provided on light source, light source passes through tenon and the removable company of mortise with the slot bottom with embedded groove
It connects, light source is good in embedded groove internal stability, and light source is convenient for disassembly and assembly.Light source is LED light strip, and LED light strip service life is long,
It is again very energy saving and environmentally protective.
Embodiment 3
As shown in figs. 1 and 4, a kind of real-time dynamic spectrum cerebrospinal fluid of artificial intelligence monitors system, including computer 1, light source
2, cerebrospinal fluid container 3, optical frequency rate converter 4, display screen 5 and wireless communication module 6, the optical frequency rate converter 4, display screen 5
It is electrically connected with computer 1 with wireless communication module 6, the cerebrospinal fluid container 3 is arranged in ware shape, the cerebrospinal fluid container 3
On be stamped reflecting cover 7, the reflecting cover 7 is threadedly coupled with cerebrospinal fluid container 3, the cerebrospinal fluid container 3 be transparent setting, it is described
Light source 2 is located at the inner wall of the cerebrospinal fluid container 3, is provided with embedded groove 8 on the inner wall of the cerebrospinal fluid container 3, the light source 2 is embedding
Enter in setting, the light source 2 and the slot bottom of embedded groove 8 in embedded groove 8 and be detachably connected, the light source 2 and embedded groove 8 are in
Annular setting, the optical frequency rate converter 4 are located in the middle part of the bottom surface of cerebrospinal fluid container 3, and the optical frequency rate converter 4 is embedded in
Cerebrospinal fluid container 3 is arranged.It will be under the spectrum of cerebrospinal fluid in real time dynamic digitalized acquisition by using digital photoelectric sensor
Come, the cerebrospinal fluid spectroscopic data quantified, then coupled computer analyzes the data of cerebrospinal fluid again, to obtain knot
Fruit can effectively mitigate the work load of staff.
The optical frequency rate converter 4 is RGB color light/frequency converter, even background color has fine distinction
Color may also detect that processing speed is fast.It is automatic to adapt to wavelength, the small differences of gray value can be detected.
Tenon 9 is provided on the slot bottom of the embedded groove 8, the tenon 9 and the slot bottom of embedded groove 8 bond, the light source 2
On be provided with the mortise (not shown) to match with tenon 9, the light source 2 passes through tenon and mortise with the slot bottom with embedded groove 8
Releasable connection, light source 2 is good in 8 internal stability of embedded groove, and light source is convenient for disassembly and assembly.
The light source 2 is LED light strip, and LED light strip service life is long, and very energy saving and environmentally protective.
The wireless communication module 6 is zigbee modules, the low-power consumption of zigbee modules, low cost, low complex degree, Ke Yiyou
Conducive to equipment promotion and utilization.
The present embodiment has the beneficial effect that：By using digital photoelectric sensor by the real-time dynamic of the spectrum of cerebrospinal fluid
Digital collection gets off, and the cerebrospinal fluid spectroscopic data quantified, then coupled computer is divided the data of cerebrospinal fluid again
Analysis, to obtain a result, can effectively mitigate the work load of staff, in addition, optical frequency rate converter is RGB color
Light/frequency converter, even background color has the color of fine distinction to may also detect that processing speed is fast.Automatically
Wavelength is adapted to, the small differences of gray value can be detected.Tenon, the slot bottom of tenon and embedded groove are provided on the slot bottom of embedded groove
It bonds, the mortise to match with tenon is provided on light source, light source passes through tenon and the removable company of mortise with the slot bottom with embedded groove
It connects, light source is good in embedded groove internal stability, and light source is convenient for disassembly and assembly.Light source is LED light strip, and LED light strip service life is long,
It is again very energy saving and environmentally protective.Wireless communication module is zigbee modules, the low-power consumption of zigbee modules, low cost, low complexity
Degree, can be conducive to equipment promotion and utilization.
The present invention also provides the detection method that a kind of real-time dynamic spectrum cerebrospinal fluid of artificial intelligence monitors system, including it is following
Step：
1) diagnostic model for establishing the general trait data of cerebrospinal fluid, and diagnostic model is trained；
2) character for using optical frequency rate converter detection cerebrospinal fluid, is then input in diagnostic model and is diagnosed；
3) result is exported.
Further, the training of the step 1) is to output and input number by the way that 2700 couple being provided previously is mutual corresponding
According to potential rule between the two is grasped in analysis.
Further, the general character of the cerebrospinal fluid includes color trait and transparency character.
Color：
Estimation of cerebrospinal fluid flow in normal volunteers is the liquid of water white transparency.In pathological conditions, cerebrospinal fluid can be in that different colours change.
1. red：Occurs the red blood cell of volume often caused by various bleedings, in cerebrospinal fluid, mainly due to penetration damage
Bleeding, subarachnoid hemorrhage cause.
2. yellow：It can cause because of bleeding, obstruction, stasis, jaundice etc..
3. white or canescence：Mostly purulent meningitis is common in caused by leucocyte increase.
4. brown or black：It is common in meninx melanoma.
Transparency：
Estimation of cerebrospinal fluid flow in normal volunteers is answered Clear ＆ Transparent.
The cerebrospinal fluid of the diseases such as viral encephalitis, neurolues also can transparent appearance.In cerebrospinal fluid leucocyte such as surpass into
It can be changed to muddy when 300 × 106/L；Protein content increases or can also make containing a large amount of bacteriums, fungi etc. its muddiness；Tuberculous
Meningitis is in often that ground-glass-like is micro- mixed；And purulent meningitis is often in apparent muddy.
Further, the diagnostic model is the diagnostic model of neural network.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all essences in the present invention
With within principle, any modification, equivalent replacement, improvement and so on should all be included in the protection scope of the present invention god.
Claims (9)
1. a kind of real-time dynamic spectrum cerebrospinal fluid of artificial intelligence monitors system, it is characterised in that：Including computer (1), light source
(2), cerebrospinal fluid container (3), optical frequency rate converter (4), display screen (5) and wireless communication module (6), the optical frequency rate converter
(4), display screen (5) and wireless communication module (6) are electrically connected with computer (1), and the cerebrospinal fluid container (3) sets in ware shape
It sets, reflecting cover (7) is stamped on the cerebrospinal fluid container (3), the reflecting cover (7) is threadedly coupled with cerebrospinal fluid container (3), described
Cerebrospinal fluid container (3) is transparent setting, and the light source (2) is located at the inner wall of the cerebrospinal fluid container (3), the cerebrospinal fluid container
(3) embedded groove (8) is provided on inner wall, the light source (2) is embedded into setting in embedded groove (8), the light source (2) and insertion
The slot bottom of slot (8) is detachably connected, and the light source (2) and embedded groove (8) are arranged in a ring, the optical frequency rate converter (4)
In the middle part of the bottom surface of cerebrospinal fluid container (3), the optical frequency rate converter (4) is embedded in cerebrospinal fluid container (3) setting.
2. the real-time dynamic spectrum cerebrospinal fluid of a kind of artificial intelligence according to claim 1 monitors system, it is characterised in that：Institute
It is RGB color light/frequency converter to state optical frequency rate converter (4).
3. the real-time dynamic spectrum cerebrospinal fluid of a kind of artificial intelligence according to claim 2 monitors system, it is characterised in that：Institute
It states and is provided with tenon (9) on the slot bottom of embedded groove (8), the tenon (9) and the slot bottom of embedded groove (8) bond, the light source (2)
On be provided with the mortise to match with tenon (8), the light source (9) passes through tenon (9) and mortise with the slot bottom with embedded groove (8)
Releasable connection.
4. the real-time dynamic spectrum cerebrospinal fluid of a kind of artificial intelligence according to claim 3 monitors system, it is characterised in that：Institute
It is LED light strip to state light source (2).
5. the real-time dynamic spectrum cerebrospinal fluid of a kind of artificial intelligence according to claim 4 monitors system, it is characterised in that：Institute
It is zigbee modules to state wireless communication module (6).
6. a kind of detection method of the real-time dynamic spectrum cerebrospinal fluid monitoring system of artificial intelligence, which is characterized in that including following step
Suddenly：
1) diagnostic model for establishing the general trait data of cerebrospinal fluid, and diagnostic model is trained；
2) character for using optical frequency rate converter detection cerebrospinal fluid, is then input in diagnostic model and is diagnosed；
3) result is exported.
7. a kind of detection method of the real-time dynamic spectrum cerebrospinal fluid monitoring system of artificial intelligence according to claim 6,
It is characterized in that：The training of the step 1) is that the 1600-2700 by being provided previously outputs and inputs data to mutual corresponding,
Potential rule between the two is grasped in analysis.
8. a kind of detection method of the real-time dynamic spectrum cerebrospinal fluid monitoring system of artificial intelligence according to claim 6,
It is characterized in that：The general character of the cerebrospinal fluid includes color trait and transparency character.
9. a kind of detection method of the real-time dynamic spectrum cerebrospinal fluid monitoring system of artificial intelligence according to claim 6,
It is characterized in that：The diagnostic model is the diagnostic model of neural network.
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