CN105380665A - Use method of intelligent hematology analyzer - Google Patents
Use method of intelligent hematology analyzer Download PDFInfo
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- CN105380665A CN105380665A CN201510749638.XA CN201510749638A CN105380665A CN 105380665 A CN105380665 A CN 105380665A CN 201510749638 A CN201510749638 A CN 201510749638A CN 105380665 A CN105380665 A CN 105380665A
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- A61B5/145—Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value ; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid or cerebral tissue
- A61B5/1455—Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value ; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid or cerebral tissue using optical sensors, e.g. spectral photometrical oximeters
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Abstract
The invention relates to a use method of an intelligent hematology analyzer. According to the method, the intelligent hematology analyzer is provided and used, a monitoring system comprises a face skin color detecting device, a brain wave monitoring device, a blood oxygen saturation degree monitoring device and an ARM9 processor. The face skin color detecting device determines the skin color level of a detected person on the basis of the face recognition of the detected person. The brain wave monitoring device monitors the sleeping state of the detected person. The blood oxygen saturation degree monitoring device determines the blood oxygen saturation degree level of the detected person. The ARM9 processor determines whether to send out a blood oxygen supply alarm signal on the basis of the skin color level and the blood oxygen saturation degree level.
Description
Technical field
The present invention relates to field of medical device, particularly relate to a kind of using method of intelligent cellanalyzer.
Background technology
Anoxia is the imbalance occurred between the confession of body oxygen and oxygen consume, and namely histiocyte metabolism is in anoxia state.Whether anoxia depends on that can the O_2 transport amount that each tissue accepts and oxygen reserve meet the needs of aerobic metabolism to body.The harm of anoxia and degree of oxygen deficiency, there is speed and the persistent period relevant.Severe hypoxia mass formed by blood stasis is the common cause of anesthetic death, accounts for 1/3 to 2/3 of sudden cardiac arrest or serious brain cell infringement death.
Anoxia has tremendous influence to body.Such as to CNS, the impact of Liver and kidney function.What first occur during hypoxia is that compensatory heart rate accelerates, and heartbeat and cardiac output increase, and blood circulation is with the deficiency of the compensatory oxygen content of hyperkinetic state.Produce blood flow reallocation, brain and the expansion of crown cardioselective are to ensure that enough blood supplies simultaneously.But when serious hypoxic condition, because lactic acid under endocardium is piled up, ATP synthesize reduction, generation myocardiac inhibition, and cause bradycardia, premature beat, blood pressure drops and cardiac output reduce, and the arrhythmia and even stop fighting such as to quiver in the room of appearance.
Because anoxia is to the hazardness of people's health, blood oxygen saturation detecting instrument is one of problem of Medical Instruments developer emphasis research and development always.But current blood oxygen saturation detecting instrument detected object is single, circuit structure redundancy is high and it is comprehensive not to detect mechanism, causes the poor effect that blood oxygen saturation detects, cannot meet the current demand of patient and hospital.
Therefore, the present invention proposes a kind of intelligent cellanalyzer, optimize the structure of current blood oxygen saturation detecting instrument, brain wave is detected and incorporates in blood oxygen saturation detection, more crucially, the colour of skin of high-precision image recognition technology to tested personnel is adopted to identify, one of factor detect the colour of skin as blood oxygen saturation, consider the testing result of blood oxygen saturation, thus improve the accuracy of testing result.
Summary of the invention
In order to solve the technical problem that prior art exists, the invention provides a kind of intelligent cellanalyzer, optimize the structure of current blood oxygen saturation detecting instrument, brain wave is detected and incorporates in blood oxygen saturation detection, improve the accuracy of detection of blood oxygen saturation, meanwhile, adopt the colour of skin of image recognition technology to tested personnel targetedly to identify, one of factor detect the colour of skin as blood oxygen saturation, makes the testing result of blood oxygen saturation not be subject to the interference of single factors.
According to an aspect of the present invention, provide a kind of intelligent cellanalyzer, described monitoring system comprises blee checkout equipment, brain wave watch-dog, blood oxygen saturation watch-dog and ARM9 processor, described blee checkout equipment determines the colour of skin grade of tested personnel based on the facial recognition of tested personnel, the sleep state of described brain wave watch-dog to tested personnel is monitored, the blood oxygen saturation grade of tested personnel determined by described blood oxygen saturation watch-dog, described ARM9 processor determines whether to send blood oxygen supply alarm signal based on described colour of skin grade and described blood oxygen saturation grade.
More specifically, in described intelligent cellanalyzer, comprise: FLASH storage chip, prestore default colour of skin weight, preset blood oxygen saturation weight, preset balance lower threshold, preset balance upper limit threshold and facial tonal range, described facial tonal range is used for the human body face in image and background separation, described FLASH storage chip has also prestored four kinds of colour of skin mean value interval and four kinds of blood oxygen saturation intervals, described four kinds of colour of skin mean value interval are corresponding four kinds of colour of skin grades respectively, described four kinds of blood oxygen saturations interval corresponding four kinds of blood oxygen saturation grades respectively, picture pick-up device comprises domed transparent cover, floor light subset and CMOS camera, described domed transparent cover is for holding described floor light subset and described CMOS camera, described floor light subset provides floor light for the shooting of described CMOS camera, described CMOS camera to tested personnel's face shots to obtain tested personnel's face-image, blee checkout equipment comprises Daubechies wavelet filtering subset, medium filtering subset, change of scale enhancer equipment, the sub-device of skin cluster, Target Segmentation subset and colour of skin grade recognin device, described Daubechies wavelet filtering subset is connected with described CMOS camera, for adopting the wavelet filtering process based on 2 rank Daubechies wavelet basiss to described tested personnel's face-image, with the Gaussian noise in tested personnel's face-image described in filtering, obtain wavelet filtering image, described medium filtering subset is connected with described Daubechies wavelet filtering subset, for performing medium filtering process to described wavelet filtering image, with the scattering composition in wavelet filtering image described in filtering, obtains medium filtering image, described change of scale enhancer equipment is connected with described medium filtering subset, for performing change of scale enhancement process to described medium filtering image, strengthening the contrast of object and background in image, obtaining and strengthening image, described Target Segmentation subset is connected respectively with described change of scale enhancer equipment and described FLASH storage chip, the all pixels of grey scale pixel value in described facial tonal range in described enhancing image are formed facial subimage, and described facial subimage is separated from the background of described tested personnel's face-image and obtains, the sub-device of described skin cluster is connected with the sub-device of described Target Segmentation, for facial subimage, the brightness of its all pixel to be added up and divided by the quantity of its all pixel to obtain target colour of skin average, described colour of skin grade recognin device is connected respectively with the sub-device of described skin cluster and described FLASH storage chip, described target colour of skin average mated with four kinds of colour of skin mean value interval, the colour of skin grade corresponding to colour of skin mean value interval of output matching exports as target colour of skin grade, 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 amplifying described voltage variety, 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 carrying out the process of two-stage notch filter, to export notched signal to described first filtering signal, high pass filter, is connected with described two-stage power frequency notch filter, for carrying out 0.1Hz high-pass filtering to described notched signal, to export the second filtering signal, level adjustment circuit, is connected with described high pass filter, carries out level adjustment process to described second filtering signal, thinks that subsequent A/D conversion is prepared, analog to digital conversion circuit, is connected with described level adjustment circuit, the second filtering signal after level adjustment process is carried out the analog digital conversion of 8, to obtain the brain wave digital signal of tested personnel, near infrared light emitter, is arranged on tested personnel's finger fingertip blood capillary position, is connected with light source driving circuit, for the LED control signal sent based on light source driving circuit, launches near infrared light, light source driving circuit, is connected with described near infrared light emitter, for sending LED control signal to described near infrared light emitter, near infrared light receptor, is arranged on tested personnel's finger fingertip, is positioned at the relative position of described light emitting diode, for receiving the near infrared light after transmission tested personnel finger fingertip blood capillary, parameter extraction equipment, be connected respectively with described near infrared light emitter and described near infrared light receptor, based on the light attenuation degree of the near infrared light of near infrared light and the transmission of launching, the HbO2 Oxyhemoglobin content in calculating tested personnel blood and reduced hemoglobin content, ARM9 processor, be connected respectively with described parameter extraction equipment, described FLASH storage chip and described blee checkout equipment, based on the blood oxygen saturation of HbO2 Oxyhemoglobin content and reduced hemoglobin cubage tested personnel, parallel communication interface is adopted to be connected to receive brain wave digital signal with analog-digital conversion circuit as described, described ARM9 processor, when there is α ripple and β ripple in described brain wave digital signal, exports shallow sleep identification signal, when there is θ ripple and δ ripple in described brain wave digital signal, exports deep sleep identification signal, wherein, described ARM9 processor mates calculating the blood oxygen saturation obtained with described four kinds of blood oxygen saturation intervals, using the blood oxygen saturation grade corresponding to the blood oxygen saturation interval that the match is successful as target blood oxygen saturation grade, wherein, described ARM9 processor is by target colour of skin grade and default colour of skin multiplied by weight, by target blood oxygen saturation grade and default blood oxygen saturation multiplied by weight, by two product addition to obtain total trade-off value, when total trade-off value is less than or equal to default balance lower threshold, send hypoxemia identification signal, when total trade-off value is more than or equal to default balance upper limit threshold, send blood oxygen excess identification signal, wherein, described two-stage power frequency notch filter adopts bandpass filtering to offset patten's design, and for offsetting the power frequency component in described first filtering signal, described power frequency component is 50Hz frequency component.
More specifically, in described intelligent cellanalyzer, described monitoring system also comprises: wireless communication interface, is connected with described ARM9 processor, for the shallow sleep identification signal of wireless transmission, deep sleep identification signal, hypoxemia identification signal or blood oxygen excess identification signal.
More specifically, in described intelligent cellanalyzer: shallow sleep identification signal, deep sleep identification signal, hypoxemia identification signal or blood oxygen excess identification signal are wirelessly sent to the medical monitoring Cloud Server of far-end by described wireless communication interface.
More specifically, in described intelligent cellanalyzer: described wireless communication interface is mobile communication interface.
More specifically, in described intelligent cellanalyzer: adopt the built-in storage unit of ARM9 processor to replace described FLASH storage chip.
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 intelligent cellanalyzer of the present invention.
Reference numeral: 1 blee checkout equipment; 2 brain wave watch-dogs; 3 blood oxygen saturation watch-dogs; 4ARM9 processor
Detailed description of the invention
Below with reference to accompanying drawings the embodiment of intelligent cellanalyzer of the present invention is described in detail.
Blood oxygen saturation (SpO2) is that the capacity of the HbO2 Oxyhemoglobin (HbO2) combined by oxygen in blood accounts for whole combinative hemoglobin (Hb, hemoglobin) percentage ratio of capacity, the i.e. concentration of blood oxygen in blood, it is the important physiological parameter of breath cycle.And functional oxygen saturation is HbO2 concentration and the ratio of HbO2+Hb concentration, be different from percent shared by HbO2 Oxyhemoglobin.Therefore, monitor arterial oxygen saturation (SaO2) to estimate the oxygenate of lung and hemoglobin oxygen carrying capacity.
The blood oxygen saturation of normal human's arterial blood is 98%, and venous blood is 75%.The metabolic processes of human body is biological oxidation process, and oxygen required in metabolic processes, enter blood of human body by respiratory system, with the hemoglobin (Hb) in blood rbc, be combined into HbO2 Oxyhemoglobin (HbO2), then be transported to partes corporis humani and divide in histiocyte and go.Namely the ability that blood carries delivering oxygen is weighed by blood oxygen saturation.
Because many clinical diseases can cause the shortage of oxygen supply, directly affect the eubolism of cell, the serious life that also can threaten people, so the Real-Time Monitoring of blood oxygen saturation is extremely important in clinical rescue.Be advanced row human blood collection to measurement method of blood oxygen saturation in prior art, recycling blood gas analyzer carries out electro chemical analysis, measures blood oxygen pressure and calculates blood oxygen saturation.This Measures compare trouble, and can not continuous print monitoring be carried out.
Also there are some finger cot type photoelectric sensors in prior art, during measurement, only need by sensor sleeve on finger, utilize finger as the transparent vessel of splendid attire hemoglobin, the HONGGUANG of use wavelength 660nm and the near infrared light of 940nm are as injecting light source, measure the light conductive strength by tissue bed, calculate hemoglobin concentration and blood oxygen saturation.
But all there is following defect in blood oxygen saturation detection scheme of the prior art: can only detect blood oxygen saturation, and the object of detection is more single; Testing mechanism falls behind, and structural redundancy is too high, and precision can not meet the accuracy requirement increasingly increased; Significantly, the detection mechanism of blood oxygen saturation is uniquely changed, can only by one because usually determining blood oxygen saturation, the inadequate science of testing process.
For this reason, the present invention has built a kind of intelligent cellanalyzer, the structure of backward blood oxygen saturation detecting instrument can be improved, brain wave is detected and is dissolved in blood oxygen saturation detection, widen the scope of the physiological parameter of detection, improve the accuracy of detection of blood oxygen saturation, in addition, photoelectric sense technology and image recognition technology can also be combined the concentration determining blood oxygen saturation, thus, improve the accuracy of detection of blood oxygen saturation instrument on the whole.
Fig. 1 is the block diagram of the first embodiment of intelligent cellanalyzer of the present invention, described monitoring system comprises blee checkout equipment, brain wave watch-dog, blood oxygen saturation watch-dog and ARM9 processor, described blee checkout equipment determines the colour of skin grade of tested personnel based on the facial recognition of tested personnel, the sleep state of described brain wave watch-dog to tested personnel is monitored, the blood oxygen saturation grade of tested personnel determined by described blood oxygen saturation watch-dog, described ARM9 processor determines whether to send blood oxygen supply alarm signal based on described colour of skin grade and described blood oxygen saturation grade.
Then, continue to be further detailed the concrete structure of the second embodiment of intelligent cellanalyzer of the present invention.
Described monitoring system comprises: FLASH storage chip, prestore default colour of skin weight, preset blood oxygen saturation weight, preset balance lower threshold, preset balance upper limit threshold and facial tonal range, described facial tonal range is used for the human body face in image and background separation, described FLASH storage chip has also prestored four kinds of colour of skin mean value interval and four kinds of blood oxygen saturation intervals, described four kinds of colour of skin mean value interval are corresponding four kinds of colour of skin grades respectively, described four kinds of blood oxygen saturations interval corresponding four kinds of blood oxygen saturation grades respectively.
Described monitoring system comprises: picture pick-up device, comprise domed transparent cover, floor light subset and CMOS camera, described domed transparent cover is for holding described floor light subset and described CMOS camera, described floor light subset provides floor light for the shooting of described CMOS camera, described CMOS camera to tested personnel's face shots to obtain tested personnel's face-image.
Described monitoring system comprises: blee checkout equipment, comprises Daubechies wavelet filtering subset, medium filtering subset, change of scale enhancer equipment, the sub-device of skin cluster, Target Segmentation subset and colour of skin grade recognin device; Described Daubechies wavelet filtering subset is connected with described CMOS camera, for adopting the wavelet filtering process based on 2 rank Daubechies wavelet basiss to described tested personnel's face-image, with the Gaussian noise in tested personnel's face-image described in filtering, obtain wavelet filtering image; Described medium filtering subset is connected with described Daubechies wavelet filtering subset, for performing medium filtering process to described wavelet filtering image, with the scattering composition in wavelet filtering image described in filtering, obtains medium filtering image; Described change of scale enhancer equipment is connected with described medium filtering subset, for performing change of scale enhancement process to described medium filtering image, strengthening the contrast of object and background in image, obtaining and strengthening image; Described Target Segmentation subset is connected respectively with described change of scale enhancer equipment and described FLASH storage chip, the all pixels of grey scale pixel value in described facial tonal range in described enhancing image are formed facial subimage, and described facial subimage is separated from the background of described tested personnel's face-image and obtains; The sub-device of described skin cluster is connected with the sub-device of described Target Segmentation, for facial subimage, the brightness of its all pixel to be added up and divided by the quantity of its all pixel to obtain target colour of skin average; Described colour of skin grade recognin device is connected respectively with the sub-device of described skin cluster and described FLASH storage chip, described target colour of skin average mated with four kinds of colour of skin mean value interval, the colour of skin grade corresponding to colour of skin mean value interval of output matching exports as target colour of skin grade.
Described monitoring system comprises: 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 amplifying described voltage variety; 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.
Described monitoring system comprises: two-stage power frequency notch filter, is connected with described low pass filter, for carrying out the process of two-stage notch filter, to export notched signal to described first filtering signal; High pass filter, is connected with described two-stage power frequency notch filter, for carrying out 0.1Hz high-pass filtering to described notched signal, to export the second filtering signal; Level adjustment circuit, is connected with described high pass filter, carries out level adjustment process to described second filtering signal, thinks that subsequent A/D conversion is prepared; Analog to digital conversion circuit, is connected with described level adjustment circuit, the second filtering signal after level adjustment process is carried out the analog digital conversion of 8, to obtain the brain wave digital signal of tested personnel.
Described monitoring system comprises: near infrared light emitter, is arranged on tested personnel's finger fingertip blood capillary position, is connected with light source driving circuit, for the LED control signal sent based on light source driving circuit, launches near infrared light; Light source driving circuit, is connected with described near infrared light emitter, for sending LED control signal to described near infrared light emitter; Near infrared light receptor, is arranged on tested personnel's finger fingertip, is positioned at the relative position of described light emitting diode, for receiving the near infrared light after transmission tested personnel finger fingertip blood capillary.
Described monitoring system comprises: parameter extraction equipment, be connected respectively with described near infrared light emitter and described near infrared light receptor, based on the light attenuation degree of the near infrared light of near infrared light and the transmission of launching, the HbO2 Oxyhemoglobin content in calculating tested personnel blood and reduced hemoglobin content.
Described monitoring system comprises: ARM9 processor, be connected respectively with described parameter extraction equipment, described FLASH storage chip and described blee checkout equipment, based on the blood oxygen saturation of HbO2 Oxyhemoglobin content and reduced hemoglobin cubage tested personnel, parallel communication interface is adopted to be connected to receive brain wave digital signal with analog-digital conversion circuit as described; Described ARM9 processor, when there is α ripple and β ripple in described brain wave digital signal, exports shallow sleep identification signal, when there is θ ripple and δ ripple in described brain wave digital signal, exports deep sleep identification signal.
Wherein, described ARM9 processor mates calculating the blood oxygen saturation obtained with described four kinds of blood oxygen saturation intervals, using the blood oxygen saturation grade corresponding to the blood oxygen saturation interval that the match is successful as target blood oxygen saturation grade.
Wherein, described ARM9 processor is by target colour of skin grade and default colour of skin multiplied by weight, by target blood oxygen saturation grade and default blood oxygen saturation multiplied by weight, by two product addition to obtain total trade-off value, when total trade-off value is less than or equal to default balance lower threshold, send hypoxemia identification signal, when total trade-off value is more than or equal to default balance upper limit threshold, send blood oxygen excess identification signal.
Wherein, described two-stage power frequency notch filter adopts bandpass filtering to offset patten's design, and for offsetting the power frequency component in described first filtering signal, described power frequency component is 50Hz frequency component.
Alternatively, in described monitoring system, described monitoring system also comprises: wireless communication interface, is connected with described ARM9 processor, for the shallow sleep identification signal of wireless transmission, deep sleep identification signal, hypoxemia identification signal or blood oxygen excess identification signal; Shallow sleep identification signal, deep sleep identification signal, hypoxemia identification signal or blood oxygen excess identification signal are wirelessly sent to the medical monitoring Cloud Server of far-end by described wireless communication interface; Described wireless communication interface is mobile communication interface; The built-in storage unit of ARM9 processor is adopted to replace described FLASH storage chip.
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 intelligent cellanalyzer of the present invention, for in prior art, blood oxygen saturation detecting instrument structure is backward, detected object is few and detect the single technical problem of mechanism, refer to high accuracy, the targetedly image recognition apparatus colour of skin to tested personnel to identify, and be dissolved in the testing process of blood oxygen saturation, simultaneously, add brain wave checkout equipment and optimize existing detection architecture, thus improving the Detection results of blood oxygen saturation detecting instrument comprehensively.
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. a using method for intelligent cellanalyzer, the method comprises:
There is provided and use a kind of intelligent cellanalyzer, described monitoring system comprises blee checkout equipment, brain wave watch-dog, blood oxygen saturation watch-dog and ARM9 processor, described blee checkout equipment determines the colour of skin grade of tested personnel based on the facial recognition of tested personnel, the sleep state of described brain wave watch-dog to tested personnel is monitored, the blood oxygen saturation grade of tested personnel determined by described blood oxygen saturation watch-dog, described ARM9 processor determines whether to send blood oxygen supply alarm signal based on described colour of skin grade and described blood oxygen saturation grade.
2. the method for claim 1, is characterized in that, described monitoring system comprises:
FLASH storage chip, prestore default colour of skin weight, preset blood oxygen saturation weight, preset balance lower threshold, preset balance upper limit threshold and facial tonal range, described facial tonal range is used for the human body face in image and background separation, described FLASH storage chip has also prestored four kinds of colour of skin mean value interval and four kinds of blood oxygen saturation intervals, described four kinds of colour of skin mean value interval are corresponding four kinds of colour of skin grades respectively, described four kinds of blood oxygen saturations interval corresponding four kinds of blood oxygen saturation grades respectively;
Picture pick-up device comprises domed transparent cover, floor light subset and CMOS camera, described domed transparent cover is for holding described floor light subset and described CMOS camera, described floor light subset provides floor light for the shooting of described CMOS camera, described CMOS camera to tested personnel's face shots to obtain tested personnel's face-image;
Blee checkout equipment comprises Daubechies wavelet filtering subset, medium filtering subset, change of scale enhancer equipment, the sub-device of skin cluster, Target Segmentation subset and colour of skin grade recognin device; Described Daubechies wavelet filtering subset is connected with described CMOS camera, for adopting the wavelet filtering process based on 2 rank Daubechies wavelet basiss to described tested personnel's face-image, with the Gaussian noise in tested personnel's face-image described in filtering, obtain wavelet filtering image; Described medium filtering subset is connected with described Daubechies wavelet filtering subset, for performing medium filtering process to described wavelet filtering image, with the scattering composition in wavelet filtering image described in filtering, obtains medium filtering image; Described change of scale enhancer equipment is connected with described medium filtering subset, for performing change of scale enhancement process to described medium filtering image, strengthening the contrast of object and background in image, obtaining and strengthening image; Described Target Segmentation subset is connected respectively with described change of scale enhancer equipment and described FLASH storage chip, the all pixels of grey scale pixel value in described facial tonal range in described enhancing image are formed facial subimage, and described facial subimage is separated from the background of described tested personnel's face-image and obtains; The sub-device of described skin cluster is connected with the sub-device of described Target Segmentation, for facial subimage, the brightness of its all pixel to be added up and divided by the quantity of its all pixel to obtain target colour of skin average; Described colour of skin grade recognin device is connected respectively with the sub-device of described skin cluster and described FLASH storage chip, described target colour of skin average mated with four kinds of colour of skin mean value interval, the colour of skin grade corresponding to colour of skin mean value interval of output matching exports as target colour of skin grade;
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 amplifying described voltage variety;
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 carrying out the process of two-stage notch filter, to export notched signal to described first filtering signal;
High pass filter, is connected with described two-stage power frequency notch filter, for carrying out 0.1Hz high-pass filtering to described notched signal, to export the second filtering signal;
Level adjustment circuit, is connected with described high pass filter, carries out level adjustment process to described second filtering signal, thinks that subsequent A/D conversion is prepared;
Analog to digital conversion circuit, is connected with described level adjustment circuit, the second filtering signal after level adjustment process is carried out the analog digital conversion of 8, to obtain the brain wave digital signal of tested personnel;
Near infrared light emitter, is arranged on tested personnel's finger fingertip blood capillary position, is connected with light source driving circuit, for the LED control signal sent based on light source driving circuit, launches near infrared light;
Light source driving circuit, is connected with described near infrared light emitter, for sending LED control signal to described near infrared light emitter;
Near infrared light receptor, is arranged on tested personnel's finger fingertip, is positioned at the relative position of described light emitting diode, for receiving the near infrared light after transmission tested personnel finger fingertip blood capillary;
Parameter extraction equipment, be connected respectively with described near infrared light emitter and described near infrared light receptor, based on the light attenuation degree of the near infrared light of near infrared light and the transmission of launching, the HbO2 Oxyhemoglobin content in calculating tested personnel blood and reduced hemoglobin content;
ARM9 processor, be connected respectively with described parameter extraction equipment, described FLASH storage chip and described blee checkout equipment, based on the blood oxygen saturation of HbO2 Oxyhemoglobin content and reduced hemoglobin cubage tested personnel, parallel communication interface is adopted to be connected to receive brain wave digital signal with analog-digital conversion circuit as described; Described ARM9 processor, when there is α ripple and β ripple in described brain wave digital signal, exports shallow sleep identification signal, when there is θ ripple and δ ripple in described brain wave digital signal, exports deep sleep identification signal;
Wherein, described ARM9 processor mates calculating the blood oxygen saturation obtained with described four kinds of blood oxygen saturation intervals, using the blood oxygen saturation grade corresponding to the blood oxygen saturation interval that the match is successful as target blood oxygen saturation grade;
Wherein, described ARM9 processor is by target colour of skin grade and default colour of skin multiplied by weight, by target blood oxygen saturation grade and default blood oxygen saturation multiplied by weight, by two product addition to obtain total trade-off value, when total trade-off value is less than or equal to default balance lower threshold, send hypoxemia identification signal, when total trade-off value is more than or equal to default balance upper limit threshold, send blood oxygen excess identification signal;
Wherein, described two-stage power frequency notch filter adopts bandpass filtering to offset patten's design, and for offsetting the power frequency component in described first filtering signal, described power frequency component is 50Hz frequency component.
3. method as claimed in claim 2, it is characterized in that, described monitoring system also comprises:
Wireless communication interface, is connected with described ARM9 processor, for the shallow sleep identification signal of wireless transmission, deep sleep identification signal, hypoxemia identification signal or blood oxygen excess identification signal.
4. method as claimed in claim 3, is characterized in that:
Shallow sleep identification signal, deep sleep identification signal, hypoxemia identification signal or blood oxygen excess identification signal are wirelessly sent to the medical monitoring Cloud Server of far-end by described wireless communication interface.
5. method as claimed in claim 3, is characterized in that:
Described wireless communication interface is mobile communication interface.
6. method as claimed in claim 2, is characterized in that:
The built-in storage unit of ARM9 processor is adopted to replace described FLASH storage chip.
Priority Applications (1)
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4895155A (en) * | 1985-10-11 | 1990-01-23 | Lee Arnold St J | Method for estimating blood oxygen saturation |
| US20080096495A1 (en) * | 2006-10-24 | 2008-04-24 | Ein-Yiao Shen | Collaborated Physiological Data Testing Instrument Module in Mobile Communication Device |
| CN203647348U (en) * | 2013-12-09 | 2014-06-18 | 上海德尔格医疗器械有限公司 | Oxygen saturation detecting instrument |
| CN104967832A (en) * | 2015-07-25 | 2015-10-07 | 刘纪君 | Method for detecting under-ship water area based on image processing |
-
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Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4895155A (en) * | 1985-10-11 | 1990-01-23 | Lee Arnold St J | Method for estimating blood oxygen saturation |
| US20080096495A1 (en) * | 2006-10-24 | 2008-04-24 | Ein-Yiao Shen | Collaborated Physiological Data Testing Instrument Module in Mobile Communication Device |
| CN203647348U (en) * | 2013-12-09 | 2014-06-18 | 上海德尔格医疗器械有限公司 | Oxygen saturation detecting instrument |
| CN104967832A (en) * | 2015-07-25 | 2015-10-07 | 刘纪君 | Method for detecting under-ship water area based on image processing |
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