CN105433939A - Personnel physiological state detecting method based on age group detection - Google Patents
Personnel physiological state detecting method based on age group detection Download PDFInfo
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- CN105433939A CN105433939A CN201610002006.1A CN201610002006A CN105433939A CN 105433939 A CN105433939 A CN 105433939A CN 201610002006 A CN201610002006 A CN 201610002006A CN 105433939 A CN105433939 A CN 105433939A
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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
- A61B5/318—Heart-related electrical modalities, e.g. electrocardiography [ECG]
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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
- A61B5/145—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
- A61B5/145—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
- A61B5/1486—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 using enzyme electrodes, e.g. with immobilised oxidase
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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
- A61B5/7203—Signal processing specially adapted for physiological signals or for diagnostic purposes for noise prevention, reduction or removal
- A61B5/7207—Signal processing specially adapted for physiological signals or for diagnostic purposes for noise prevention, reduction or removal of noise induced by motion artifacts
- A61B5/721—Signal processing specially adapted for physiological signals or for diagnostic purposes for noise prevention, reduction or removal of noise induced by motion artifacts using a separate sensor to detect motion or using motion information derived from signals other than the physiological signal to be measured
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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
- A61B2503/00—Evaluating a particular growth phase or type of persons or animals
Abstract
The invention relates to a personnel physiological state detecting method based on age group detection. The method comprises the steps that 1, a personnel physiological state detecting device based on age group detection is provided and comprises blood glucose monitoring equipment, electrocardiogram monitoring equipment and age group detecting equipment, the age group detecting equipment is used for detecting age group information of detected personnel, the blood glucose monitoring equipment is used for extracting blood glucose parameters of the detected personnel based on the detection result of the age group detecting equipment, and the electrocardiogram monitoring equipment monitors the electrocardiogram state of the detected personnel based on the detecting result of the age group detecting equipment; 2, the detecting device is used.
Description
Technical field
The present invention relates to physiological status detection field, particularly relate to a kind of personnel's physiological status detection method detected based on age bracket.
Background technology
Be 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 distinguished to some extent 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 adopt identical physiological parameter threshold to monitor to Different age group, the possibility of result of monitoring differs greatly from right value.If there is mistaken diagnosis phenomenon, such as over-treatment even delays the state of an illness, is all that tested personnel can not bear.
The physio-parameter detection mechanism based on age bracket identification is lacked in prior art, simultaneously, each physiological parameter instrument of the prior art generally only detects single physiological parameter, comprehensive detection cannot be carried out, and existing physiological parameter instrument structural redundancy is high, accuracy of detection is on the low side, needs to carry out certain optimization to its structure.
For this reason, the present invention proposes a kind of personnel's physiology condition detection device detected based on age bracket, to be integrated in a detecting instrument through the high-precision blood glucose monitoring device of structure optimization and electrocardiogram watch-dog, adopt age bracket identification equipment targetedly to identify tested personnel simultaneously, on this basis, the accurate detection and Identification of the physiological status to tested personnel are completed.
Summary of the invention
In order to solve the technical problem that prior art exists, the invention provides a kind of personnel's physiology condition detection device detected based on age bracket, blood sugar test equipment and Electrocardiography equipment are concentrated in a detecting instrument and works simultaneously, optimize the structure of existing checkout equipment, more crucially, for the personnel to be measured of four age brackets divided, the technology of high precision image identification is adopted to carry out age bracket identification, and each different physiological parameter threshold value of warning is set adaptively according to the result of age bracket identification, thus improve the accuracy of detection of Medical Instruments.
According to an aspect of the present invention, provide a kind of personnel's physiology condition detection device detected based on age bracket, described checkout gear comprises blood glucose monitoring device, electrocardiogram watch-dog and age bracket checkout equipment, described age bracket checkout equipment is for detecting the age bracket information of tested personnel, described blood glucose monitoring device extracts tested personnel's glycemic parameters based on the testing result of described age bracket checkout equipment, described electrocardiogram watch-dog based on the testing result of described age bracket checkout equipment to tested personnel's electrocardiogram monitoring state.
More specifically, in the described personnel's physiology condition detection device detected based on age bracket, comprising: image capture device, for taking tested personnel's face, to obtain tested personnel's face-image, contrast strengthen equipment, is connected with described image capture device, for receiving described tested personnel's face-image and carrying out contrast enhancement processing to it, to obtain enhancing image, medium filtering equipment, with described contrast strengthen equipment connection, for performing the medium filtering of pixel window 5 × 5 to described enhancing image, to strengthen the spot noise in image described in filtering, obtains medium filtering image, low-pass filtering equipment, with described medium filtering equipment connection, for removing the random noise in described medium filtering image, obtains low-pass filtering image, homomorphic filtering equipment, with described low-pass filtering equipment connection, for performing the process of compression brightness range to described low-pass filtering image, to obtain homomorphic filtering image, feature extracting device, with described homomorphic filtering equipment connection, comprise Iamge Segmentation subset and eigenvector recognition subset, described Iamge Segmentation subset is used for the face object in described homomorphic filtering image being identified from shooting background and splitting to obtain facial subimage, described eigenvector recognition subset is connected with described Iamge Segmentation subset, 8 geometric properties of tested personnel's face are determined: Euler's hole count, circularity, angle point number, convex-concave degree, smoothness, draw ratio, compactness and main shaft angle based on described facial subimage, and by described 8 geometric properties composition characteristics vector, age bracket identification equipment, be connected with described feature extracting device, adopt single hidden layer BP neutral net that 8 inputs 4 export, using 8 of tested personnel's face geometric properties as input layer, output layer is the age bracket of tested personnel, and the age bracket of described tested personnel is the one in child's age bracket, child age section, mature age section and old man's age bracket Four types, MMC storage card, for prestoring age bracket physiological parameter synopsis, described age bracket physiological parameter synopsis saves each age bracket in child's age bracket, child age section, mature age section and old man's age bracket four kinds of age brackets corresponding benchmark pulse range, 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, signal collecting device, comprise multiple medical electrode and multiple movement locus sensor, described multiple medical electrode are separately positioned on multiple fixed positions at tested personnel's body surface place, for extracting multiple voltages that tested personnel's cardioelectric field produces respectively in multiple fixed positions at body surface place, each movement locus sensor is close to medical electrode and places, for extracting the drift electrocardio voltage signal that corresponding position tested personnel produces because of breathing and human motion, movement locus abatement apparatus, be not connected with described multiple medical electrode and described multiple movement locus sensor, the drift electrocardio voltage signal that each voltage produced by each medical electrode and corresponding movement locus sensor produce is sued for peace, to obtain corresponding target voltage, lead circuit, is connected with described movement locus abatement apparatus, for receiving multiple target voltage, calculating electrocardio voltage difference based on described multiple target voltage and exporting, signal amplification circuit, is connected with the described circuit that leads, for receiving described electrocardio voltage difference and amplifying described electrocardio voltage difference, bandwidth-limited circuit, is connected with described signal amplification circuit, and the noise contribution in the electrocardio voltage difference after amplifying for filtering is to obtain filtered electrical pressure reduction, analog to digital conversion circuit, is connected with described bandwidth-limited circuit, for carrying out analog digital conversion to filtered electrical pressure reduction, to obtain digitized voltage difference, electrocardiogram parameters extracts circuit, is connected with described analog-digital converter, extracts sinus rate and the PR interval of tested personnel based on described digitized voltage difference, enzyme electrode sensor, comprise reference electrode, to pole electrode and working electrode three electrodes, working electrode is fixed with glucoseoxidase, wherein, when the tested blood sample of tested personnel is dropped in the test zone of working electrode, glucose generation chemical reaction in glucoseoxidase fixing on working electrode and tested blood sample, the concentration of glucose in the response current on working electrode and tested blood sample is linear, amplifying circuit, is connected with described enzyme electrode sensor, for receiving and amplifying the response current on working electrode, low pass filter, is connected with described amplifying circuit, for receive and filtering response current in radio-frequency component, MMC storage card, for storing preset ratio coefficient, flush bonding processor, be connected respectively with described low pass filter and described MMC storage card, the blood sugar concentration of tested personnel is calculated based on preset ratio coefficient and filtered response current, wherein, preset ratio coefficient is the ratio determining linear relationship between response current on working electrode and the concentration of glucose in tested blood sample, and described flush bonding processor also extracts circuit and is connected with the sinus rate receiving tested personnel and PR interval with described electrocardiogram parameters, wherein, described flush bonding processor is when described blood sugar concentration is at default blood glucose upper concentration, send the too high identification signal of blood sugar concentration, when described blood sugar concentration is at default blood glucose least concentration, send the too low identification signal of blood sugar concentration, when described sinus rate is outside default sinus rate scope, send sinus rate anomalous identification signal, when being interposed between when between described PR outside default PR interval, send PR interval anomalous identification signal, wherein, described electrocardio voltage difference comprises multiple voltage difference, wherein, flush bonding processor is also connected respectively with age bracket identification equipment and MMC storage card, age bracket based on the tested personnel of age bracket identification 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 the described personnel's physiology condition detection device detected based on age bracket, described image capture device is high-definition camera.
More specifically, in the described personnel's physiology condition detection device detected based on age bracket, described image capture device, described contrast strengthen equipment and described medium filtering equipment are integrated on one piece of surface-mounted integrated circuit.
More specifically, in the described personnel's physiology condition detection device detected based on age bracket, described flush bonding processor is when sending the too high identification signal of blood sugar concentration, the too low identification signal of blood sugar concentration, sinus rate anomalous identification signal or PR interval anomalous identification signal, send abnormality signal simultaneously, otherwise described flush bonding processor sends normal state signal simultaneously.
More specifically, in the described personnel's physiology condition detection device detected based on age bracket, described checkout gear also comprises: wireless communication interface, is connected with described flush bonding processor, for sending abnormality signal or normal state signal.
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 personnel's physiology condition detection device based on age bracket detection of the present invention.
Reference numeral: 1 blood glucose monitoring device; 2 electrocardiogram watch-dogs; 3 age bracket checkout equipments
Detailed description of the invention
Below with reference to accompanying drawings the embodiment of the personnel's physiology condition detection device based on age bracket detection of the present invention is described in detail.
In all one's life of people, multiple age bracket to be experienced from growing to death.The division of World Health Organization to age bracket is as follows: 0 to 2 year old half are child, within 2 years old half to 6 years old, is child, within 7 to 17 years old, is juvenile, within 18 to 40 years old, is young, within 41 to 65 years old, is the middle age, within 66 years old, is old later.For simplicity, some countries will: 0 to 2 year old half be child, within 2 years old half to 6 years old, be child, and within 7 to 65 years old, be adult, 66 years old is later is old age, as main age dividing mode.
The interval that its each physiological parameter of the people of Different age group distributes is different, if adopt the detecting instrument with identical parameters threshold value to carry out physiological status detection to the people of Different age group, diverse testing result may be obtained, very likely mistaken diagnosis can occur therebetween, serious meeting causes over-treatment or delays the state of an illness.But, there is not the medical device can selecting different physiological parameter threshold based on Different age group in prior art, 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 device of the prior art, and each instrument is general only for detecting a physiological parameter; And testing mechanism falls behind, the structural redundancy of detecting instrument is not high, the accurate not defect of precision, even if cause the people for same age bracket to detect, 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 reasonable not.
For this reason, the present invention has built a kind of personnel's physiology condition detection device detected based on age bracket, blood sugar test equipment and Electrocardiography equipment are concentrated in a detecting instrument and works simultaneously, optimize the structure of existing checkout equipment, more crucially, for the personnel to be measured of four age brackets divided, the technology of high precision image identification is adopted to carry out age bracket identification, and different physiological parameter threshold value of warning is set adaptively according to the result of age bracket identification, thus realize the intellectualized detection of Medical Instruments.
Fig. 1 is the block diagram of the first embodiment of the personnel's physiology condition detection device based on age bracket detection of the present invention, described checkout gear comprises blood glucose monitoring device, electrocardiogram watch-dog and age bracket checkout equipment, described age bracket checkout equipment is for detecting the age bracket information of tested personnel, described blood glucose monitoring device extracts tested personnel's glycemic parameters based on the testing result of described age bracket checkout equipment, described electrocardiogram watch-dog based on the testing result of described age bracket checkout equipment to tested personnel's electrocardiogram monitoring state.
Then, continue to be further detailed the concrete structure of the second embodiment of the personnel's physiology condition detection device based on age bracket detection of the present invention.
Described checkout gear comprises: image capture device, for taking tested personnel's face, to obtain tested personnel's face-image; Contrast strengthen equipment, is connected with described image capture device, for receiving described tested personnel's face-image and carrying out contrast enhancement processing to it, to obtain enhancing image; Medium filtering equipment, with described contrast strengthen equipment connection, for performing the medium filtering of pixel window 5 × 5 to described enhancing image, to strengthen the spot noise in image described in filtering, obtains medium filtering image.
Described checkout gear comprises: low-pass filtering equipment, with described medium filtering equipment connection, for removing the random noise in described medium filtering image, obtains low-pass filtering image; Homomorphic filtering equipment, with described low-pass filtering equipment connection, for performing the process of compression brightness range to described low-pass filtering image, to obtain homomorphic filtering image.
Described checkout gear comprises: feature extracting device, with described homomorphic filtering equipment connection, comprise Iamge Segmentation subset and eigenvector recognition subset, described Iamge Segmentation subset is used for the face object in described homomorphic filtering image being identified from shooting background and splitting to obtain facial subimage; Described eigenvector recognition subset is connected with described Iamge Segmentation subset, 8 geometric properties of tested personnel's face are determined: Euler's hole count, circularity, angle point number, convex-concave degree, smoothness, draw ratio, compactness and main shaft angle based on described facial subimage, and by described 8 geometric properties composition characteristics vector; Age bracket identification equipment, be connected with described feature extracting device, adopt single hidden layer BP neutral net that 8 inputs 4 export, using 8 of tested personnel's face geometric properties as input layer, output layer is the age bracket of tested personnel, and the age bracket of described tested personnel is the one in child's age bracket, child age section, mature age section and old man's age bracket Four types; MMC storage card, for prestoring age bracket physiological parameter synopsis, described age bracket physiological parameter synopsis saves each age bracket in child's age bracket, child age section, mature age section and old man's age bracket four kinds of age brackets corresponding benchmark pulse range, 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 checkout gear comprises: signal collecting device, comprise multiple medical electrode and multiple movement locus sensor, described multiple medical electrode are separately positioned on multiple fixed positions at tested personnel's body surface place, for extracting multiple voltages that tested personnel's cardioelectric field produces respectively in multiple fixed positions at body surface place, each movement locus sensor is close to medical electrode and places, for extracting the drift electrocardio voltage signal that corresponding position tested personnel produces because of breathing and human motion; Movement locus abatement apparatus, be not connected with described multiple medical electrode and described multiple movement locus sensor, the drift electrocardio voltage signal that each voltage produced by each medical electrode and corresponding movement locus sensor produce is sued for peace, to obtain corresponding target voltage; Lead circuit, is connected with described movement locus abatement apparatus, for receiving multiple target voltage, calculating electrocardio voltage difference based on described multiple target voltage and exporting; Signal amplification circuit, is connected with the described circuit that leads, for receiving described electrocardio voltage difference and amplifying described electrocardio voltage difference.
Described checkout gear comprises: bandwidth-limited circuit, is connected with described signal amplification circuit, and the noise contribution in the electrocardio voltage difference after amplifying for filtering is to obtain filtered electrical pressure reduction; Analog to digital conversion circuit, is connected with described bandwidth-limited circuit, for carrying out analog digital conversion to filtered electrical pressure reduction, to obtain digitized voltage difference; Electrocardiogram parameters extracts circuit, is connected with described analog-digital converter, extracts sinus rate and the PR interval of tested personnel based on described digitized voltage difference.
Described checkout gear comprises: enzyme electrode sensor, comprise reference electrode, to pole electrode and working electrode three electrodes, working electrode is fixed with glucoseoxidase, wherein, when the tested blood sample of tested personnel is dropped in the test zone of working electrode, glucose generation chemical reaction in glucoseoxidase fixing on working electrode and tested blood sample, the concentration of glucose in the response current on working electrode and tested blood sample is linear; Amplifying circuit, is connected with described enzyme electrode sensor, for receiving and amplifying the response current on working electrode; Low pass filter, is connected with described amplifying circuit, for receive and filtering response current in radio-frequency component.
Described checkout gear comprises: MMC storage card, for storing preset ratio coefficient; Flush bonding processor, be connected respectively with described low pass filter and described MMC storage card, the blood sugar concentration of tested personnel is calculated based on preset ratio coefficient and filtered response current, wherein, preset ratio coefficient is the ratio determining linear relationship between response current on working electrode and the concentration of glucose in tested blood sample, and described flush bonding processor also extracts circuit and is connected with the sinus rate receiving tested personnel and PR interval with described electrocardiogram parameters.
Wherein, described flush bonding processor is when described blood sugar concentration is at default blood glucose upper concentration, send the too high identification signal of blood sugar concentration, when described blood sugar concentration is at default blood glucose least concentration, send the too low identification signal of blood sugar concentration, when described sinus rate is outside default sinus rate scope, send sinus rate anomalous identification signal, when being interposed between when between described PR outside default PR interval, send PR interval anomalous identification signal.
Wherein, described electrocardio voltage difference comprises multiple voltage difference, wherein, flush bonding processor is also connected respectively with age bracket identification equipment and MMC storage card, age bracket based on the tested personnel of age bracket identification 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 checkout gear, described image capture device is high-definition camera; Described image capture device, described contrast strengthen equipment and described medium filtering equipment are integrated on one piece of surface-mounted integrated circuit; Described flush bonding processor is when sending the too high identification signal of blood sugar concentration, the too low identification signal of blood sugar concentration, sinus rate anomalous identification signal or PR interval anomalous identification signal, send abnormality signal simultaneously, otherwise described flush bonding processor sends normal state signal simultaneously; And described checkout gear can also comprise: wireless communication interface, be connected with described flush bonding processor, for sending abnormality signal or normal state signal.
In addition, wave filter, as the term suggests, be 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 quantity.This process, by the effect of various kinds of sensors, 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, be referred to as continuous time signal, be referred to as analogue signal habitually again.
Along with generation and the develop rapidly of digital electronic computer technology, for the ease of computer, signal is processed, create complete Theories and methods continuous time signal being transformed into discrete-time signal under sampling theorem instructs.That is, can only express primary signal by the sample value of original analog signal 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 quantity in objective world, 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 it generation, conversion, transmission each link may distort due to the existence of environment and interference, or even in quite a number of cases, this distortion is also very serious, causes signal and entrained information thereof to be embedded in the middle of noise dearly.In order to these noises of filtering, recover signal originally, need to use various wave filter to carry out Filtering Processing.
Adopt the personnel's physiology condition detection device detected based on age bracket of the present invention, single for tested personnel's physio-parameter detection in prior art, structure is optimized not and is lacked the technical problem of the intellectualized detection mechanism based on age bracket identification, high-precision blood glucose monitoring device after de-redundant remaining and electrocardiogram watch-dog are collected in a detecting instrument, image recognition technology is adopted to detect targetedly tested personnel's age bracket, and the detection completed on the basis of age bracket identification the physiological status of tested personnel and early warning, thus improve the effectiveness of diagnostic result.
Be understandable that, although the present invention with preferred embodiment disclose as above, but above-described embodiment and be not used to limit the present invention.For any those of ordinary skill in the art, do not departing under technical solution of the present invention ambit, the technology contents of above-mentioned announcement all can be utilized to make many possible variations and modification to technical solution of the present invention, or be revised as the Equivalent embodiments of equivalent variations.Therefore, every content not departing from technical solution of the present invention, according to technical spirit of the present invention to any simple modification made for any of the above embodiments, equivalent variations and modification, all still belongs in the scope of technical solution of the present invention protection.
Claims (6)
1., based on personnel's physiological status detection method that age bracket detects, the method comprises:
1) a kind of personnel's physiology condition detection device detected based on age bracket is provided, described checkout gear comprises blood glucose monitoring device, electrocardiogram watch-dog and age bracket checkout equipment, described age bracket checkout equipment is for detecting the age bracket information of tested personnel, described blood glucose monitoring device extracts tested personnel's glycemic parameters based on the testing result of described age bracket checkout equipment, described electrocardiogram watch-dog based on the testing result of described age bracket checkout equipment to tested personnel's electrocardiogram monitoring state;
2) described checkout gear is used.
2. the method for claim 1, is characterized in that, described checkout gear comprises:
Image capture device, for taking tested personnel's face, to obtain tested personnel's face-image;
Contrast strengthen equipment, is connected with described image capture device, for receiving described tested personnel's face-image and carrying out contrast enhancement processing to it, to obtain enhancing image;
Medium filtering equipment, with described contrast strengthen equipment connection, for performing the medium filtering of pixel window 5 × 5 to described enhancing image, to strengthen the spot noise in image described in filtering, obtains medium filtering image;
Low-pass filtering equipment, with described medium filtering equipment connection, for removing the random noise in described medium filtering image, obtains low-pass filtering image;
Homomorphic filtering equipment, with described low-pass filtering equipment connection, for performing the process of compression brightness range to described low-pass filtering image, to obtain homomorphic filtering image;
Feature extracting device, with described homomorphic filtering equipment connection, comprise Iamge Segmentation subset and eigenvector recognition subset, described Iamge Segmentation subset is used for the face object in described homomorphic filtering image being identified from shooting background and splitting to obtain facial subimage; Described eigenvector recognition subset is connected with described Iamge Segmentation subset, 8 geometric properties of tested personnel's face are determined: Euler's hole count, circularity, angle point number, convex-concave degree, smoothness, draw ratio, compactness and main shaft angle based on described facial subimage, and by described 8 geometric properties composition characteristics vector;
Age bracket identification equipment, be connected with described feature extracting device, adopt single hidden layer BP neutral net that 8 inputs 4 export, using 8 of tested personnel's face geometric properties as input layer, output layer is the age bracket of tested personnel, and the age bracket of described tested personnel is the one in child's age bracket, child age section, mature age section and old man's age bracket Four types;
MMC storage card, for prestoring age bracket physiological parameter synopsis, described age bracket physiological parameter synopsis saves each age bracket in child's age bracket, child age section, mature age section and old man's age bracket four kinds of age brackets corresponding benchmark pulse range, 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;
Signal collecting device, comprise multiple medical electrode and multiple movement locus sensor, described multiple medical electrode are separately positioned on multiple fixed positions at tested personnel's body surface place, for extracting multiple voltages that tested personnel's cardioelectric field produces respectively in multiple fixed positions at body surface place, each movement locus sensor is close to medical electrode and places, for extracting the drift electrocardio voltage signal that corresponding position tested personnel produces because of breathing and human motion;
Movement locus abatement apparatus, be not connected with described multiple medical electrode and described multiple movement locus sensor, the drift electrocardio voltage signal that each voltage produced by each medical electrode and corresponding movement locus sensor produce is sued for peace, to obtain corresponding target voltage;
Lead circuit, is connected with described movement locus abatement apparatus, for receiving multiple target voltage, calculating electrocardio voltage difference based on described multiple target voltage and exporting;
Signal amplification circuit, is connected with the described circuit that leads, for receiving described electrocardio voltage difference and amplifying described electrocardio voltage difference;
Bandwidth-limited circuit, is connected with described signal amplification circuit, and the noise contribution in the electrocardio voltage difference after amplifying for filtering is to obtain filtered electrical pressure reduction;
Analog to digital conversion circuit, is connected with described bandwidth-limited circuit, for carrying out analog digital conversion to filtered electrical pressure reduction, to obtain digitized voltage difference;
Electrocardiogram parameters extracts circuit, is connected with described analog-digital converter, extracts sinus rate and the PR interval of tested personnel based on described digitized voltage difference;
Enzyme electrode sensor, comprise reference electrode, to pole electrode and working electrode three electrodes, working electrode is fixed with glucoseoxidase, wherein, when the tested blood sample of tested personnel is dropped in the test zone of working electrode, glucose generation chemical reaction in glucoseoxidase fixing on working electrode and tested blood sample, the concentration of glucose in the response current on working electrode and tested blood sample is linear;
Amplifying circuit, is connected with described enzyme electrode sensor, for receiving and amplifying the response current on working electrode;
Low pass filter, is connected with described amplifying circuit, for receive and filtering response current in radio-frequency component;
MMC storage card, for storing preset ratio coefficient;
Flush bonding processor, be connected respectively with described low pass filter and described MMC storage card, the blood sugar concentration of tested personnel is calculated based on preset ratio coefficient and filtered response current, wherein, preset ratio coefficient is the ratio determining linear relationship between response current on working electrode and the concentration of glucose in tested blood sample, and described flush bonding processor also extracts circuit and is connected with the sinus rate receiving tested personnel and PR interval with described electrocardiogram parameters;
Wherein, described flush bonding processor is when described blood sugar concentration is at default blood glucose upper concentration, send the too high identification signal of blood sugar concentration, when described blood sugar concentration is at default blood glucose least concentration, send the too low identification signal of blood sugar concentration, when described sinus rate is outside default sinus rate scope, send sinus rate anomalous identification signal, when being interposed between when between described PR outside default PR interval, send PR interval anomalous identification signal;
Wherein, described electrocardio voltage difference comprises multiple voltage difference;
Wherein, flush bonding processor is also connected respectively with age bracket identification equipment and MMC storage card, age bracket based on the tested personnel of age bracket identification 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, is characterized in that:
Described image capture device is high-definition camera.
4. method as claimed in claim 2, is characterized in that:
Described image capture device, described contrast strengthen equipment and described medium filtering equipment are integrated on one piece of surface-mounted integrated circuit.
5. method as claimed in claim 2, is characterized in that:
Described flush bonding processor is when sending the too high identification signal of blood sugar concentration, the too low identification signal of blood sugar concentration, sinus rate anomalous identification signal or PR interval anomalous identification signal, send abnormality signal simultaneously, otherwise described flush bonding processor sends normal state signal simultaneously.
6. method as claimed in claim 5, it is characterized in that, described checkout gear also comprises:
Wireless communication interface, is connected with described flush bonding processor, for sending abnormality signal or normal state signal.
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| CN201610002006.1A CN105433939A (en) | 2016-01-02 | 2016-01-02 | Personnel physiological state detecting method based on age group detection |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105129052A (en) * | 2015-07-24 | 2015-12-09 | 王翠平 | Underwater human body searching method |
| CN105184111A (en) * | 2015-11-06 | 2015-12-23 | 李良 | Fault identification system for direct current transmission line |
| CN105203767A (en) * | 2015-11-05 | 2015-12-30 | 张宏业 | Blood glucose detection method based on glucose meter |
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| CN105129052A (en) * | 2015-07-24 | 2015-12-09 | 王翠平 | Underwater human body searching method |
| CN105203767A (en) * | 2015-11-05 | 2015-12-30 | 张宏业 | Blood glucose detection method based on glucose meter |
| CN105184111A (en) * | 2015-11-06 | 2015-12-23 | 李良 | Fault identification system for direct current transmission line |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110909610A (en) * | 2019-10-26 | 2020-03-24 | 湖北讯獒信息工程有限公司 | Accurate age identification method based on artificial intelligence |
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