CN105640565A - Multifunctional medical testing method - Google Patents
Multifunctional medical testing method Download PDFInfo
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- CN105640565A CN105640565A CN201610002069.7A CN201610002069A CN105640565A CN 105640565 A CN105640565 A CN 105640565A CN 201610002069 A CN201610002069 A CN 201610002069A CN 105640565 A CN105640565 A CN 105640565A
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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
- A61B5/145—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
- A61B5/14532—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue for measuring glucose, e.g. by tissue impedance measurement
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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
- A61B5/05—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves
- A61B5/055—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
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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
- A61B5/117—Identification of persons
- A61B5/1171—Identification of persons based on the shapes or appearances of their bodies or parts thereof
- A61B5/1176—Recognition of faces
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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
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/30—Input circuits therefor
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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
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/316—Modalities, i.e. specific diagnostic methods
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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
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/316—Modalities, i.e. specific diagnostic methods
- A61B5/369—Electroencephalography [EEG]
Abstract
The invention relates to a multifunctional medical testing method. The method comprises the steps of 1, providing a multifunctional medical testing platform, wherein the testing platform comprises an image data analysis device, a medical data analysis device, a TF memory card and an AVR32 chip, the TF memory card is used for pre-storing the medical data threshold values of each age group, the image data analysis device is used for analyzing the age group information of a person to be tested according to the image of the person, the medical data analysis device is used for analyzing the brain wave parameters and blood glucose parameters of the person to be tested, and the AVR32 chip is connected with the image data analysis device and the medical data analysis device and searches the TF memory card for the medical data threshold values matched with the corresponding age group based on the age group information of the person to be tested so as to provide data reference for analysis of the medical data analysis device; 2, using the testing platform.
Description
Technical field
The present invention relates to medical treatment detection field, particularly relate to a kind of multifunctional medical detection method.
Background technology
Divide from physiological age, some countries will: 0 to 2 year old half be child, within 2 years old half to 6 years old, be child, within 7 to 65 years old, are adult, and 66 years old is later old age, as main age dividing mode.
It is interval different that its each physiological parameter of the people of different age group is distributed, if adopting the detecting instrument with identical parameters threshold value that the people of different age group is carried out physiological status detection, diverse testing result may be obtained, mistaken diagnosis very likely can occur therebetween, and serious meeting causes over-treatment or delays the state of an illness. But, in prior art and be absent to select based on different age group the medical device of different physiological parameter threshold, even lack artificial cognition age bracket, on recognition result, manually adjust the technical scheme of physiological parameter threshold.
Meanwhile, it is single all to there is testing mechanism in various physical parameter detector devices of the prior art, and each instrument is normally only used for one physiological parameter of detection; And testing mechanism falls behind, the structural redundancy of detecting instrument is not high, the accurate not defect of precision, cause detecting even for the people of same age bracket, accuracy of detection is also difficult to meet medical demands, and the power dissipation ratio that instrument runs is also higher, and cost performance is not reasonable.
For this, the present invention proposes a kind of multifunctional medical detection platform, the equipment that blood sugar test equipment and brain wave detected concentrates in a detecting instrument and works simultaneously, optimize the structure of existing detection equipment, more it is essential that the personnel to be measured of four age brackets for dividing, the technology of high precision image identification is adopted to carry out age bracket identification, and the result according to age bracket identification arranges different physiological parameter threshold value of warning adaptively, thus improving automatization's level of Medical Instruments.
Summary of the invention
In order to solve the technical problem that prior art exists, the invention provides a kind of multifunctional medical detection platform, the equipment that blood sugar test equipment and brain wave detected concentrates in a detecting instrument and works simultaneously, optimize the structure of existing detection equipment, more crucially, the personnel to be measured of four age brackets for simply dividing, the technology adopting high precision image identification carries out age bracket identification, and the result according to age bracket identification arranges each different physiological parameter threshold value of warning adaptively, thus improving the precision of testing result.
According to an aspect of the present invention, provide a kind of multifunctional medical detection platform, described detection platform includes analysis of image data equipment, Analysis of Medical Treatment Data equipment, TF storage card and AVR32 chip, described TF storage card is for having prestored every medical data threshold value of each age bracket, described analysis of image data equipment for going out the age bracket information of tested personnel based on the graphical analysis of tested personnel, described Analysis of Medical Treatment Data equipment is for analyzing brain wave parameter and the glycemic parameters of tested personnel, described AVR32 chip is connected respectively with described analysis of image data equipment and described Analysis of Medical Treatment Data equipment, in described TF storage card, every medical data threshold value of the age bracket of coupling is searched for based on the age bracket information of tested personnel, data refer is provided for the analysis for described Analysis of Medical Treatment Data equipment.
More specifically, in described multifunctional medical detection platform, including: TF storage card, prestore facial tonal range, described face tonal range is for by the face face in image and background separation, described TF storage card has also prestored four kinds of gray processing face masterplates, described four kinds of gray processing face masterplates are by benchmark child's age bracket face, benchmark child age section face, the face-image execution gray processing that benchmark mature age section face and benchmark old man's age bracket face carry out shooting obtained respectively processes and obtains, described TF storage card is additionally operable to prestore age bracket physiological parameter synopsis, described age bracket physiological parameter synopsis saves child's age bracket, child age section, the benchmark pulse range that mature age section is corresponding with each age bracket in old four kinds of age brackets of age bracket, benchmark sinus rate scope, benchmark PR interval, benchmark QT interval scope, benchmark blood glucose upper concentration, benchmark blood glucose least concentration, benchmark blood oxygen saturation upper concentration and benchmark blood oxygen saturation least concentration, picture pick-up device, is used for tested personnel's face shots to obtain tested personnel's face-image, facial feature detection equipment includes self adaptation recursive filtering subset, medium filtering subset, change of scale enhancer equipment, Target Segmentation subset and target recognition subset, described self adaptation recursive filtering subset is connected with described CMOS camera, for adopting self adaptation recursive filtering to process described tested personnel's face-image, to filter the Gaussian noise in described tested personnel's face-image, it is thus achieved that self adaptation recursive filtering image, described medium filtering subset is connected with described self adaptation recursive filtering subset, processes for described self adaptation recursive filtering image is performed medium filtering, to filter the scattering composition in described self adaptation recursive filtering image, it is thus achieved that medium filtering image, described change of scale enhancer equipment is connected with described medium filtering subset, for described medium filtering image is performed change of scale enhancement process, to strengthen the contrast of target and background in image, it is thus achieved that strengthen image, described Target Segmentation subset is connected respectively with described change of scale enhancer equipment and described TF storage card, by all pixels composition face subimage in described face tonal range of the grey scale pixel value in described enhancing image, described face subimage separates from the background of described tested personnel's face-image and obtains, described target recognition subset is connected respectively with described Target Segmentation subset and described TF storage card, by described face subimage and four kinds of gray processing face stencil matchings, the highest age bracket corresponding to gray processing face template of output matching degree is as the age bracket of tested personnel, detecting electrode, is arranged on tested personnel's head, the voltage variety that the neuron activity for detecting brain arrives cerebral cortex by ionic conduction and formed, difference preamplifier, is connected with described detecting electrode, for described voltage variety is amplified, low pass filter, is connected with described difference preamplifier, for the voltage variety after amplification is carried out 100Hz low-pass filtering, to export the first filtering signal, two-stage power frequency notch filter, is connected with described low pass filter, for described first filtering signal is carried out two-stage notch filter process, to export notched signal, high pass filter, is connected with described two-stage power frequency notch filter, for described notched signal is carried out 0.1Hz high-pass filtering, to export the second filtering signal,Level adjustment circuit, is connected with described high pass filter, and described second filtering signal is carried out level adjustment process, thinks that subsequent A/D conversion is prepared, analog to digital conversion circuit, is connected with described level adjustment circuit, and the second filtering signal after level adjustment processes carries out the analog digital conversion of 8, to obtain the brain wave digital signal of tested personnel, Direct Digital Frequency Synthesizers, for producing frequency and sine wave signal that phase place can adjust uses being used as mixing as rf frequency source, pulse-series generator, is used for producing pulse train, frequency mixer, is connected respectively with described Direct Digital Frequency Synthesizers and described pulse-series generator, adopts pulse train that sine wave signal is carried out mixed modulated, power amplifier, is connected with described frequency mixer, for being amplified by the signal after mixed modulated, Switching Power Supply, is used as the interface circuit between probe and power amplifier, by the signal loading after amplification to the radio-frequency receiving-transmitting coil of probe, Nd-Fe-B permanent magnetic type magnet structure, produces a uniform static magnetic field of field intensity in the space holding tested personnel's finger, probe, it is placed on tested personnel's finger position, being wound around radio-frequency receiving-transmitting coil and send in described Nd-Fe-B permanent magnetic type magnet structure with the signal that will load, produce nmr phenomena, the deamplification being additionally operable to obtain after being resonated by Hydrogen Proton in tested personnel's finger is sent, AT89C51 chip, adopts parallel port to be connected with analog-digital conversion circuit as described, is used for receiving brain wave digital signal, also it is connected to receive described deamplification with described probe, analyze the spectral line of described deamplification, and calculate wherein glucose proportion, thus obtaining the blood sugar concentration of tested personnel, described AT89C51 chip is when there is �� ripple and �� ripple in described brain wave digital signal, export shallow sleep and identify signal, when described brain wave digital signal occurs �� ripple and �� ripple, output deep sleep identification signal, when described blood sugar concentration is when default blood glucose upper concentration, send the too high identification signal of blood sugar concentration, when described blood sugar concentration is when default blood glucose least concentration, send the too low identification signal of blood sugar concentration, wherein, the radio-frequency receiving-transmitting coil that described probe is wound around is the one in birdcage coil, toroidal winding, saddle-shaped coils, phased array coils and annulus, wherein, the one in direct digital synthesizers, analog phase-locked look and digital phase-locked loop is selected in the frequency synthesis that Direct Digital Frequency Synthesizers adopts, wherein, described two-stage power frequency notch filter adopts bandpass filtering to offset mode and designs, and for offsetting the power frequency component in described first filtering signal, described power frequency component is 50Hz frequency component, wherein, AT89C51 chip is also connected respectively with facial feature detection equipment and TF storage card, age bracket based on the tested personnel of facial feature detection equipment output determines benchmark pulse range in described age bracket physiological parameter synopsis, benchmark sinus rate scope, benchmark PR interval, benchmark QT interval scope, benchmark blood glucose upper concentration, benchmark blood glucose least concentration, benchmark blood oxygen saturation upper concentration and benchmark blood oxygen saturation least concentration, and as presetting pulse range, preset sinus rate scope, preset PR interval, preset QT interval scope, preset blood glucose upper concentration, preset blood glucose least concentration, preset blood oxygen saturation upper concentration and default blood oxygen saturation least concentration.
More specifically, in described multifunctional medical detection platform: described picture pick-up device includes domed transparent cover, floor light subset and CMOS camera.
More specifically, in described multifunctional medical detection platform: the resolution of described CMOS camera is 3840 �� 2160.
More specifically, in described multifunctional medical detection platform: described domed transparent cover is used for holding described floor light subset and described CMOS camera.
More specifically, in described multifunctional medical detection platform: the shooting that described floor light subset is described CMOS camera provides floor light.
Accompanying drawing explanation
Below with reference to accompanying drawing, embodiment of the present invention are described, wherein:
Fig. 1 is the block diagram of the first embodiment of the multifunctional medical detection platform of the present invention.
Accompanying drawing labelling: 1 analysis of image data equipment; 2 Analysis of Medical Treatment Data equipment; 3TF storage card; 4AVR32 chip
Detailed description of the invention
Below with reference to accompanying drawings the embodiment of the multifunctional medical detection platform of the present invention is described in detail.
Being in the people of different age group, present different features in shape, meanwhile, interior upper, its each physiological parameter is all distributed in different scopes. From the appearance, different age brackets is otherwise varied in the features such as the colour of skin, wink, color development, height. From internal structure, different age brackets is also different in every physiological parameter distribution, if adopting identical physiological parameter threshold to be monitored different age group, the result of monitoring is likely to differ greatly from right value. If there is mistaken diagnosis phenomenon, for instance over-treatment even delays the state of an illness, it is all that tested personnel can not bear.
Prior art lacks the physio-parameter detection mechanism based on age bracket identification, simultaneously, each physiological parameter instrument of the prior art generally only detects single physiological parameter, cannot be carried out comprehensive detection, and existing physiological parameter instrument structural redundancy is high, accuracy of detection is on the low side, it is necessary to its structure is carried out certain optimization.
For this, the present invention has built a kind of multifunctional medical detection platform, high-precision blood glucose monitoring device and brain wave monitoring device through structure optimization is integrated in a detecting instrument, adopt age bracket identification equipment targetedly that tested personnel is identified simultaneously, on this basis, complete the accurately detection of the physiological status to tested personnel and identify so that testing result is more credible.
Fig. 1 is the block diagram of the first embodiment of the multifunctional medical detection platform of the present invention, described detection platform includes analysis of image data equipment, Analysis of Medical Treatment Data equipment, TF storage card and AVR32 chip, described TF storage card is for having prestored every medical data threshold value of each age bracket, described analysis of image data equipment for going out the age bracket information of tested personnel based on the graphical analysis of tested personnel, described Analysis of Medical Treatment Data equipment is for analyzing brain wave parameter and the glycemic parameters of tested personnel, described AVR32 chip is connected respectively with described analysis of image data equipment and described Analysis of Medical Treatment Data equipment, in described TF storage card, every medical data threshold value of the age bracket of coupling is searched for based on the age bracket information of tested personnel, data refer is provided for the analysis for described Analysis of Medical Treatment Data equipment.
Then, continue the concrete structure of the second embodiment of the multifunctional medical detection platform of the present invention is further detailed.
Described detection platform includes: TF storage card, prestore facial tonal range, described face tonal range is for by the face face in image and background separation, described TF storage card has also prestored four kinds of gray processing face masterplates, and described four kinds of gray processing face masterplates are by benchmark child's age bracket face, benchmark child age section face, the face-image execution gray processing that benchmark mature age section face and benchmark old man's age bracket face carry out shooting obtained respectively processes and obtains, described TF storage card is additionally operable to prestore age bracket physiological parameter synopsis, and described age bracket physiological parameter synopsis saves child's age bracket, child age section, the benchmark pulse range that mature age section is corresponding with each age bracket in old four kinds of age brackets of age bracket, benchmark sinus rate scope, benchmark PR interval, benchmark QT interval scope, benchmark blood glucose upper concentration, benchmark blood glucose least concentration, benchmark blood oxygen saturation upper concentration and benchmark blood oxygen saturation least concentration.
Described detection platform includes: picture pick-up device, is used for tested personnel's face shots to obtain tested personnel's face-image.
Described detection platform includes: facial feature detection equipment, including self adaptation recursive filtering subset, medium filtering subset, change of scale enhancer equipment, Target Segmentation subset and target recognition subset; Described self adaptation recursive filtering subset is connected with described CMOS camera, for adopting self adaptation recursive filtering to process described tested personnel's face-image, to filter the Gaussian noise in described tested personnel's face-image, it is thus achieved that self adaptation recursive filtering image; Described medium filtering subset is connected with described self adaptation recursive filtering subset, processes for described self adaptation recursive filtering image is performed medium filtering, to filter the scattering composition in described self adaptation recursive filtering image, it is thus achieved that medium filtering image; Described change of scale enhancer equipment is connected with described medium filtering subset, for described medium filtering image is performed change of scale enhancement process, to strengthen the contrast of target and background in image, it is thus achieved that strengthen image; Described Target Segmentation subset is connected respectively with described change of scale enhancer equipment and described TF storage card, by all pixels composition face subimage in described face tonal range of the grey scale pixel value in described enhancing image, described face subimage separates from the background of described tested personnel's face-image and obtains; Described target recognition subset is connected respectively with described Target Segmentation subset and described TF storage card, by described face subimage and four kinds of gray processing face stencil matchings, the highest age bracket corresponding to gray processing face template of output matching degree is as the age bracket of tested personnel.
Described detection platform includes: detecting electrode, is arranged on tested personnel's head, the voltage variety that the neuron activity for detecting brain arrives cerebral cortex by ionic conduction and formed; Difference preamplifier, is connected with described detecting electrode, for described voltage variety is amplified; Low pass filter, is connected with described difference preamplifier, for the voltage variety after amplification is carried out 100Hz low-pass filtering, to export the first filtering signal; Two-stage power frequency notch filter, is connected with described low pass filter, for described first filtering signal is carried out two-stage notch filter process, to export notched signal; High pass filter, is connected with described two-stage power frequency notch filter, for described notched signal is carried out 0.1Hz high-pass filtering, to export the second filtering signal.
Described detection platform includes: level adjustment circuit, is connected with described high pass filter, and described second filtering signal is carried out level adjustment process, thinks that subsequent A/D conversion is prepared; Analog to digital conversion circuit, is connected with described level adjustment circuit, and the second filtering signal after level adjustment processes carries out the analog digital conversion of 8, to obtain the brain wave digital signal of tested personnel; Direct Digital Frequency Synthesizers, for producing frequency and sine wave signal that phase place can adjust uses being used as mixing as rf frequency source; Pulse-series generator, is used for producing pulse train.
Described detection platform includes: frequency mixer, is connected respectively with described Direct Digital Frequency Synthesizers and described pulse-series generator, adopts pulse train that sine wave signal is carried out mixed modulated; Power amplifier, is connected with described frequency mixer, for being amplified by the signal after mixed modulated; Switching Power Supply, is used as the interface circuit between probe and power amplifier, by the signal loading after amplification to the radio-frequency receiving-transmitting coil of probe; Nd-Fe-B permanent magnetic type magnet structure, produces a uniform static magnetic field of field intensity in the space holding tested personnel's finger.
Described detection platform includes: probe, it is placed on tested personnel's finger position, it is wound around radio-frequency receiving-transmitting coil and sends in described Nd-Fe-B permanent magnetic type magnet structure with the signal that will load, producing nmr phenomena, the deamplification being additionally operable to obtain after being resonated by Hydrogen Proton in tested personnel's finger is sent.
Described detection platform includes: AT89C51 chip, parallel port is adopted to be connected with analog-digital conversion circuit as described, for receiving brain wave digital signal, also it is connected to receive described deamplification with described probe, analyze the spectral line of described deamplification, and calculate wherein glucose proportion, thus obtain the blood sugar concentration of tested personnel.
Wherein, described AT89C51 chip is when there is �� ripple and �� ripple in described brain wave digital signal, export shallow sleep and identify signal, when described brain wave digital signal occurs �� ripple and �� ripple, output deep sleep identification signal, when described blood sugar concentration is when default blood glucose upper concentration, sends the too high identification signal of blood sugar concentration, when described blood sugar concentration is when default blood glucose least concentration, send the too low identification signal of blood sugar concentration; Wherein, the radio-frequency receiving-transmitting coil that described probe is wound around is the one in birdcage coil, toroidal winding, saddle-shaped coils, phased array coils and annulus; Wherein, the one in direct digital synthesizers, analog phase-locked look and digital phase-locked loop is selected in the frequency synthesis that Direct Digital Frequency Synthesizers adopts; Wherein, described two-stage power frequency notch filter adopts bandpass filtering to offset mode and designs, and for offsetting the power frequency component in described first filtering signal, described power frequency component is 50Hz frequency component.
Wherein, AT89C51 chip is also connected respectively with facial feature detection equipment and TF storage card, age bracket based on the tested personnel of facial feature detection equipment output determines benchmark pulse range in described age bracket physiological parameter synopsis, benchmark sinus rate scope, benchmark PR interval, benchmark QT interval scope, benchmark blood glucose upper concentration, benchmark blood glucose least concentration, benchmark blood oxygen saturation upper concentration and benchmark blood oxygen saturation least concentration, and as presetting pulse range, preset sinus rate scope, preset PR interval, preset QT interval scope, preset blood glucose upper concentration, preset blood glucose least concentration, preset blood oxygen saturation upper concentration and default blood oxygen saturation least concentration.
Alternatively, in described multifunctional medical detection platform: described picture pick-up device includes domed transparent cover, floor light subset and CMOS camera; The resolution of described CMOS camera is 3840 �� 2160; Described domed transparent cover is used for holding described floor light subset and described CMOS camera; And, described floor light subset can be used for providing floor light for the shooting of described CMOS camera.
It addition, wave filter, as the term suggests, it is the device that ripple is filtered. " ripple " is a physical concept widely, and at electronic technology field, " ripple " is narrowly confined to refer in particular to the process of the value fluctuations in time describing various physical quantitys. The effect by various kinds of sensors of this process, is converted into the time function of voltage or electric current, is referred to as the time waveform of various physical quantity, or is referred to as signal. Because the independent variable time is continuous value, it is referred to as continuous time signal, is referred to as again analogue signal habitually.
Along with the generation of digital electronic computer technology with develop rapidly, for the ease of computer, signal is processed, create under sampling theorem instructs, continuous time signal is transformed into discrete-time signal complete theory and method. That is, only can express primary signal by original analog signal sample value on series of discrete time coordinate point and not lose any information, since what these concepts of ripple, waveform, signal were expressed is the change of various physical quantitys in objective world, it is exactly the carrier of the various information that modern society depends on for existence naturally.Information needs to propagate, and what lean on is exactly the transmission of waveshape signal. Signal its generation, conversion, transmission each link be likely to be due to the existence of environment and interference and distort, or even in quite a number of cases, this distortion is also very serious, causes that signal and entrained information thereof are embedded in the middle of noise dearly. In order to filter these noises, recover signal originally, it is necessary to use various wave filter to be filtered processing.
Adopt the multifunctional medical detection platform of the present invention, single for tested personnel's physio-parameter detection in prior art, structure optimizes not and lacks the technical problem of the intellectualized detection mechanism based on age bracket identification, high-precision brain wave monitoring device after de-redundant remaining and blood glucose monitoring device are collected in a detecting instrument, adopt image recognition technology that tested personnel's age bracket is detected targetedly, and on the basis of age bracket identification, complete detection and the early warning of physiological status to tested personnel, thus avoiding over-treatment or delaying the event generation of medical treatment.
Although it is understood that the present invention discloses as above with preferred embodiment, but above-described embodiment is not limited to the present invention. For any those of ordinary skill in the art, without departing under technical solution of the present invention ambit, all may utilize the technology contents of the disclosure above and technical solution of the present invention is made many possible variations and modification, or be revised as the Equivalent embodiments of equivalent variations. Therefore, every content without departing from technical solution of the present invention, the technical spirit of the foundation present invention, to any simple modification made for any of the above embodiments, equivalent variations and modification, all still falls within the scope of technical solution of the present invention protection.
Claims (6)
1. a multifunctional medical detection method, the method includes:
1) a kind of multifunctional medical detection platform is provided, described detection platform includes analysis of image data equipment, Analysis of Medical Treatment Data equipment, TF storage card and AVR32 chip, described TF storage card is for having prestored every medical data threshold value of each age bracket, described analysis of image data equipment for going out the age bracket information of tested personnel based on the graphical analysis of tested personnel, described Analysis of Medical Treatment Data equipment is for analyzing brain wave parameter and the glycemic parameters of tested personnel, described AVR32 chip is connected respectively with described analysis of image data equipment and described Analysis of Medical Treatment Data equipment, in described TF storage card, every medical data threshold value of the age bracket of coupling is searched for based on the age bracket information of tested personnel, data refer is provided for the analysis for described Analysis of Medical Treatment Data equipment,
2) described detection platform is used.
2. the method for claim 1, it is characterised in that described detection platform includes:
TF storage card, prestore facial tonal range, described face tonal range is for by the face face in image and background separation, described TF storage card has also prestored four kinds of gray processing face masterplates, described four kinds of gray processing face masterplates are by benchmark child's age bracket face, benchmark child age section face, the face-image execution gray processing that benchmark mature age section face and benchmark old man's age bracket face carry out shooting obtained respectively processes and obtains, described TF storage card is additionally operable to prestore age bracket physiological parameter synopsis, described age bracket physiological parameter synopsis saves child's age bracket, child age section, the benchmark pulse range that mature age section is corresponding with each age bracket in old four kinds of age brackets of age bracket, benchmark sinus rate scope, benchmark PR interval, benchmark QT interval scope, benchmark blood glucose upper concentration, benchmark blood glucose least concentration, benchmark blood oxygen saturation upper concentration and benchmark blood oxygen saturation least concentration,
Picture pick-up device, is used for tested personnel's face shots to obtain tested personnel's face-image;
Facial feature detection equipment includes self adaptation recursive filtering subset, medium filtering subset, change of scale enhancer equipment, Target Segmentation subset and target recognition subset; Described self adaptation recursive filtering subset is connected with described CMOS camera, for adopting self adaptation recursive filtering to process described tested personnel's face-image, to filter the Gaussian noise in described tested personnel's face-image, it is thus achieved that self adaptation recursive filtering image; Described medium filtering subset is connected with described self adaptation recursive filtering subset, processes for described self adaptation recursive filtering image is performed medium filtering, to filter the scattering composition in described self adaptation recursive filtering image, it is thus achieved that medium filtering image; Described change of scale enhancer equipment is connected with described medium filtering subset, for described medium filtering image is performed change of scale enhancement process, to strengthen the contrast of target and background in image, it is thus achieved that strengthen image; Described Target Segmentation subset is connected respectively with described change of scale enhancer equipment and described TF storage card, by all pixels composition face subimage in described face tonal range of the grey scale pixel value in described enhancing image, described face subimage separates from the background of described tested personnel's face-image and obtains; Described target recognition subset is connected respectively with described Target Segmentation subset and described TF storage card, by described face subimage and four kinds of gray processing face stencil matchings, the highest age bracket corresponding to gray processing face template of output matching degree is as the age bracket of tested personnel;
Detecting electrode, is arranged on tested personnel's head, the voltage variety that the neuron activity for detecting brain arrives cerebral cortex by ionic conduction and formed;
Difference preamplifier, is connected with described detecting electrode, for described voltage variety is amplified;
Low pass filter, is connected with described difference preamplifier, for the voltage variety after amplification is carried out 100Hz low-pass filtering, to export the first filtering signal;
Two-stage power frequency notch filter, is connected with described low pass filter, for described first filtering signal is carried out two-stage notch filter process, to export notched signal;
High pass filter, is connected with described two-stage power frequency notch filter, for described notched signal is carried out 0.1Hz high-pass filtering, to export the second filtering signal;
Level adjustment circuit, is connected with described high pass filter, and described second filtering signal is carried out level adjustment process, thinks that subsequent A/D conversion is prepared;
Analog to digital conversion circuit, is connected with described level adjustment circuit, and the second filtering signal after level adjustment processes carries out the analog digital conversion of 8, to obtain the brain wave digital signal of tested personnel;
Direct Digital Frequency Synthesizers, for producing frequency and sine wave signal that phase place can adjust uses being used as mixing as rf frequency source;
Pulse-series generator, is used for producing pulse train;
Frequency mixer, is connected respectively with described Direct Digital Frequency Synthesizers and described pulse-series generator, adopts pulse train that sine wave signal is carried out mixed modulated;
Power amplifier, is connected with described frequency mixer, for being amplified by the signal after mixed modulated;
Switching Power Supply, is used as the interface circuit between probe and power amplifier, by the signal loading after amplification to the radio-frequency receiving-transmitting coil of probe;
Nd-Fe-B permanent magnetic type magnet structure, produces a uniform static magnetic field of field intensity in the space holding tested personnel's finger;
Probe, it is placed on tested personnel's finger position, being wound around radio-frequency receiving-transmitting coil and send in described Nd-Fe-B permanent magnetic type magnet structure with the signal that will load, produce nmr phenomena, the deamplification being additionally operable to obtain after being resonated by Hydrogen Proton in tested personnel's finger is sent;
AT89C51 chip, adopts parallel port to be connected with analog-digital conversion circuit as described, is used for receiving brain wave digital signal, also it is connected to receive described deamplification with described probe, analyze the spectral line of described deamplification, and calculate wherein glucose proportion, thus obtaining the blood sugar concentration of tested personnel; Described AT89C51 chip is when there is �� ripple and �� ripple in described brain wave digital signal, export shallow sleep and identify signal, when described brain wave digital signal occurs �� ripple and �� ripple, output deep sleep identification signal, when described blood sugar concentration is when default blood glucose upper concentration, send the too high identification signal of blood sugar concentration, when described blood sugar concentration is when default blood glucose least concentration, send the too low identification signal of blood sugar concentration;
Wherein, the radio-frequency receiving-transmitting coil that described probe is wound around is the one in birdcage coil, toroidal winding, saddle-shaped coils, phased array coils and annulus;
Wherein, the one in direct digital synthesizers, analog phase-locked look and digital phase-locked loop is selected in the frequency synthesis that Direct Digital Frequency Synthesizers adopts;
Wherein, described two-stage power frequency notch filter adopts bandpass filtering to offset mode and designs, and for offsetting the power frequency component in described first filtering signal, described power frequency component is 50Hz frequency component;
Wherein, AT89C51 chip is also connected respectively with facial feature detection equipment and TF storage card, age bracket based on the tested personnel of facial feature detection equipment output determines benchmark pulse range in described age bracket physiological parameter synopsis, benchmark sinus rate scope, benchmark PR interval, benchmark QT interval scope, benchmark blood glucose upper concentration, benchmark blood glucose least concentration, benchmark blood oxygen saturation upper concentration and benchmark blood oxygen saturation least concentration, and as presetting pulse range, preset sinus rate scope, preset PR interval, preset QT interval scope, preset blood glucose upper concentration, preset blood glucose least concentration, preset blood oxygen saturation upper concentration and default blood oxygen saturation least concentration.
3. method as claimed in claim 2, it is characterised in that:
Described picture pick-up device includes domed transparent cover, floor light subset and CMOS camera.
4. method as claimed in claim 3, it is characterised in that:
The resolution of described CMOS camera is 3840 �� 2160.
5. method as claimed in claim 3, it is characterised in that:
Described domed transparent cover is used for holding described floor light subset and described CMOS camera.
6. method as claimed in claim 3, it is characterised in that:
The shooting that described floor light subset is described CMOS camera provides floor light.
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| CN111145844A (en) * | 2019-12-31 | 2020-05-12 | 重庆亚德科技股份有限公司 | Comprehensive medical supervision platform |
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| CN105184111A (en) * | 2015-11-06 | 2015-12-23 | 李良 | Fault identification system for direct current transmission line |
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| CN101559252A (en) * | 2009-05-22 | 2009-10-21 | 顾磊 | Intelligent insomnia therapeutic instrument |
| CN105184111A (en) * | 2015-11-06 | 2015-12-23 | 李良 | Fault identification system for direct current transmission line |
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| CN111145844A (en) * | 2019-12-31 | 2020-05-12 | 重庆亚德科技股份有限公司 | Comprehensive medical supervision platform |
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