CN105411568A - Automatic medical monitoring method - Google Patents
Automatic medical monitoring method Download PDFInfo
- Publication number
- CN105411568A CN105411568A CN201610001323.1A CN201610001323A CN105411568A CN 105411568 A CN105411568 A CN 105411568A CN 201610001323 A CN201610001323 A CN 201610001323A CN 105411568 A CN105411568 A CN 105411568A
- Authority
- CN
- China
- Prior art keywords
- benchmark
- oxygen saturation
- blood oxygen
- age bracket
- tested personnel
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- 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]
-
- 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
- A61B5/1455—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 optical sensors, e.g. spectral photometrical oximeters
- A61B5/14551—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 optical sensors, e.g. spectral photometrical oximeters for measuring blood gases
-
- 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
-
- 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
-
- 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
- A61B5/7235—Details of waveform analysis
- A61B5/725—Details of waveform analysis using specific filters therefor, e.g. Kalman or adaptive filters
Landscapes
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Public Health (AREA)
- Surgery (AREA)
- Veterinary Medicine (AREA)
- Signal Processing (AREA)
- General Health & Medical Sciences (AREA)
- Biophysics (AREA)
- Pathology (AREA)
- Biomedical Technology (AREA)
- Heart & Thoracic Surgery (AREA)
- Medical Informatics (AREA)
- Molecular Biology (AREA)
- Animal Behavior & Ethology (AREA)
- Physiology (AREA)
- Artificial Intelligence (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Psychiatry (AREA)
- Cardiology (AREA)
- Spectroscopy & Molecular Physics (AREA)
- Optics & Photonics (AREA)
- Power Engineering (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
Abstract
The invention relates to an automatic medical monitoring device. The monitoring device comprises a physiological parameter analysis device, an age bracket information extraction device, a mobile hard disk drive, and a sunplus SPCE061A processor. The mobile hard disk drive is prestored with each physiological parameter thresholds of different age brackets. The sunplus SPCE061A processor finds out each physiological parameter threshold of the age bracket of the tested person in the mobile hard disk drive based on output of the age bracket information extraction device, so as to use the physiological parameter thresholds in analysis operation of electrocardiogram parameter and blood oxygen saturation of the physiological parameter analysis device. Through the device, the electrocardiogram parameter and blood oxygen saturation of a tested person can be analyzed more scientifically based on an age bracket identification mechanism.
Description
Technical field
The present invention relates to medical device fields, particularly relate to a kind of automedica monitoring method.
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 has built a kind of automedica monitor device, by through the high-precision electrocardiogram watch-dog of structure optimization and blood Monitoring Oxygen Ventilation integration of equipments in a detecting instrument, adopt age bracket identification equipment targetedly to identify tested personnel simultaneously, on this basis, complete the accurate detection and Identification of the physiological status to tested personnel, make the detection of medical device more accurate.
Summary of the invention
In order to solve the technical problem that prior art exists, the invention provides a kind of automedica monitor device, Electrocardiography equipment and blood oxygen checkout 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, adopt the technology of high precision image identification 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.
According to an aspect of the present invention, provide a kind of automedica monitor device, described monitor device comprises physiological parameter analysis equipment, age bracket information extracting device, portable hard drive and Ling Yang SPCE061A processor, described portable hard drive has prestored each physiological parameter threshold of Different age group, described Ling Yang SPCE061A processor finds out each physiological parameter threshold of tested personnel place age bracket based on the output of described age bracket information extracting device in described portable hard drive, for the described electrocardiogram parameters of physiological parameter analysis equipment and the analysis operation of blood oxygen saturation.
More specifically, in described automedica monitor device, comprise: portable hard drive, prestore facial tonal range, described facial tonal range is used for the human body face in image and background separation, described portable hard drive has also prestored four kinds of gray processing face masterplates, described four kinds of gray processings face masterplate is by facial to benchmark child age bracket, benchmark child age section face, benchmark mature age section face and benchmark old man age bracket face carry out taking obtained face-image respectively and perform gray processing process and obtain, described portable hard drive is also for prestoring age bracket physiological parameter synopsis, described age bracket physiological parameter synopsis saves child's age bracket, child age section, the benchmark pulse range that each age bracket in mature age section and old age bracket four kinds of age brackets is corresponding, 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 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, age bracket identification equipment comprises Daubechies wavelet filtering subset, medium filtering subset, change of scale enhancer equipment, Target Segmentation subset and target recognition subset, 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 portable hard drive, 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, described target recognition subset is connected respectively with described Target Segmentation subset and described portable hard drive, by described facial subimage and four kinds of gray processings 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, 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, 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, Ling Yang SPCE061A processor, extract circuit with described parameter extraction equipment and described electrocardiogram parameters to be connected respectively, receive the sinus rate of tested personnel and PR interval, based on the blood oxygen saturation of HbO2 Oxyhemoglobin content and reduced hemoglobin cubage tested personnel, described Ling Yang SPCE061A processor is 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, when described blood oxygen saturation is at default blood oxygen saturation upper concentration, send the too high identification signal of blood oxygen saturation, when described blood oxygen saturation is at default blood oxygen saturation least concentration, send the too low identification signal of blood oxygen saturation, wherein, Ling Yang SPCE061A processor is also connected respectively with age bracket identification equipment and portable hard drive, 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, wherein, described electrocardio voltage difference comprises multiple voltage difference.
More specifically, in described automedica monitor device: Ling Yang SPCE061A processor is when the too low identification signal of transmission sinus rate anomalous identification signal, PR interval anomalous identification signal, the too high identification signal of blood oxygen saturation or blood oxygen saturation, send abnormality signal simultaneously, otherwise Ling Yang SPCE061A processor sends normal state signal simultaneously.
More specifically, in described automedica monitor device: the resolution of tested personnel's face-image that described picture pick-up device obtains is 3840 × 2160.
More specifically, in described automedica monitor device, described monitor device also comprises: wireless communication interface, be connected with Ling Yang SPCE061A processor, for wireless transmission sinus rate anomalous identification signal, PR interval anomalous identification signal, the too high identification signal of blood oxygen saturation or the too low identification signal of blood oxygen saturation.
More specifically, in described automedica monitor device: Daubechies wavelet filtering subset, medium filtering subset, change of scale enhancer equipment, Target Segmentation subset and target recognition subset adopt different CPLD chips to realize respectively.
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 automedica monitor device of the present invention.
Reference numeral: 1 physiological parameter analysis equipment; 2 age bracket information extracting devices; 3 portable hard drives; 4 Ling Yang SPCE061A processors
Detailed description of the invention
Below with reference to accompanying drawings the embodiment of automedica monitor device 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 proposes a kind of automedica monitor device, Electrocardiography equipment and blood oxygen checkout 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 automedica monitor device of the present invention, described monitor device comprises physiological parameter analysis equipment, age bracket information extracting device, portable hard drive and Ling Yang SPCE061A processor, described portable hard drive has prestored each physiological parameter threshold of Different age group, described Ling Yang SPCE061A processor finds out each physiological parameter threshold of tested personnel place age bracket based on the output of described age bracket information extracting device in described portable hard drive, for the described electrocardiogram parameters of physiological parameter analysis equipment and the analysis operation of blood oxygen saturation.
Then, continue to be further detailed the concrete structure of the second embodiment of automedica monitor device of the present invention.
Described monitor device comprises: portable hard drive, prestore facial tonal range, described facial tonal range is used for the human body face in image and background separation, described portable hard drive has also prestored four kinds of gray processing face masterplates, and described four kinds of gray processings face masterplate is by facial to benchmark child age bracket, benchmark child age section face, benchmark mature age section face and benchmark old man age bracket face carry out taking obtained face-image respectively and perform gray processing process and obtain, described portable hard drive is also for prestoring 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 each age bracket in mature age section and old age bracket four kinds of age brackets is corresponding, 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 monitor device 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 monitor device comprises: age bracket identification equipment, comprises Daubechies wavelet filtering subset, medium filtering subset, change of scale enhancer equipment, Target Segmentation subset and target recognition subset; 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 portable hard drive, 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; Described target recognition subset is connected respectively with described Target Segmentation subset and described portable hard drive, by described facial subimage and four kinds of gray processings 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 monitor device 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.
Described monitor device comprises: 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.
Described monitor device 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; 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 monitor device comprises: Ling Yang SPCE061A processor, extract circuit with described parameter extraction equipment and described electrocardiogram parameters to be connected respectively, receive the sinus rate of tested personnel and PR interval, based on the blood oxygen saturation of HbO2 Oxyhemoglobin content and reduced hemoglobin cubage tested personnel; Described Ling Yang SPCE061A processor is 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, when described blood oxygen saturation is at default blood oxygen saturation upper concentration, send the too high identification signal of blood oxygen saturation, when described blood oxygen saturation is at default blood oxygen saturation least concentration, send the too low identification signal of blood oxygen saturation.
Wherein, Ling Yang SPCE061A processor is also connected respectively with age bracket identification equipment and portable hard drive, 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, wherein, described electrocardio voltage difference comprises multiple voltage difference.
Alternatively, in described automedica monitor device: Ling Yang SPCE061A processor is when the too low identification signal of transmission sinus rate anomalous identification signal, PR interval anomalous identification signal, the too high identification signal of blood oxygen saturation or blood oxygen saturation, send abnormality signal simultaneously, otherwise Ling Yang SPCE061A processor sends normal state signal simultaneously; The resolution of tested personnel's face-image that described picture pick-up device obtains is 3840 × 2160; Described monitor device also comprises: wireless communication interface, be connected with Ling Yang SPCE061A processor, for wireless transmission sinus rate anomalous identification signal, PR interval anomalous identification signal, the too high identification signal of blood oxygen saturation or the too low identification signal of blood oxygen saturation; Daubechies wavelet filtering subset, medium filtering subset, change of scale enhancer equipment, Target Segmentation subset and target recognition subset adopt different CPLD chips to realize respectively.
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 automedica monitor device of the present invention,, structure single for tested personnel's physio-parameter detection in prior art is optimized not and is lacked the technical problem of the intellectualized detection mechanism based on age bracket identification, high-precision electrocardiogram watch-dog after de-redundant remaining and blood Monitoring Oxygen Ventilation equipment 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 accuracy 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. an automedica monitoring method, the method comprises:
1) a kind of automedica monitor device is provided, described monitor device comprises physiological parameter analysis equipment, age bracket information extracting device, portable hard drive and Ling Yang SPCE061A processor, described portable hard drive has prestored each physiological parameter threshold of Different age group, described Ling Yang SPCE061A processor finds out each physiological parameter threshold of tested personnel place age bracket, for the described electrocardiogram parameters of physiological parameter analysis equipment and the analysis operation of blood oxygen saturation based on the output of described age bracket information extracting device in described portable hard drive;
2) described monitor device is used.
2. the method for claim 1, is characterized in that, described monitor device comprises:
Portable hard drive, prestore facial tonal range, described facial tonal range is used for the human body face in image and background separation, described portable hard drive has also prestored four kinds of gray processing face masterplates, described four kinds of gray processings face masterplate is by facial to benchmark child age bracket, benchmark child age section face, benchmark mature age section face and benchmark old man age bracket face carry out taking obtained face-image respectively and perform gray processing process and obtain, described portable hard drive is also for prestoring age bracket physiological parameter synopsis, described age bracket physiological parameter synopsis saves child's age bracket, child age section, the benchmark pulse range that each age bracket in mature age section and old age bracket four kinds of age brackets is corresponding, 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 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;
Age bracket identification equipment comprises Daubechies wavelet filtering subset, medium filtering subset, change of scale enhancer equipment, Target Segmentation subset and target recognition subset; 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 portable hard drive, 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; Described target recognition subset is connected respectively with described Target Segmentation subset and described portable hard drive, by described facial subimage and four kinds of gray processings 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;
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;
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;
Ling Yang SPCE061A processor, extract circuit with described parameter extraction equipment and described electrocardiogram parameters to be connected respectively, receive the sinus rate of tested personnel and PR interval, based on the blood oxygen saturation of HbO2 Oxyhemoglobin content and reduced hemoglobin cubage tested personnel; Described Ling Yang SPCE061A processor is 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, when described blood oxygen saturation is at default blood oxygen saturation upper concentration, send the too high identification signal of blood oxygen saturation, when described blood oxygen saturation is at default blood oxygen saturation least concentration, send the too low identification signal of blood oxygen saturation;
Wherein, Ling Yang SPCE061A processor is also connected respectively with age bracket identification equipment and portable hard drive, 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,
Wherein, described electrocardio voltage difference comprises multiple voltage difference.
3. method as claimed in claim 2, is characterized in that:
Ling Yang SPCE061A processor is when the too low identification signal of transmission sinus rate anomalous identification signal, PR interval anomalous identification signal, the too high identification signal of blood oxygen saturation or blood oxygen saturation, send abnormality signal simultaneously, otherwise Ling Yang SPCE061A processor sends normal state signal simultaneously.
4. method as claimed in claim 2, is characterized in that:
The resolution of tested personnel's face-image that described picture pick-up device obtains is 3840 × 2160.
5. method as claimed in claim 2, it is characterized in that, described monitor device also comprises:
Wireless communication interface, is connected with Ling Yang SPCE061A processor, for wireless transmission sinus rate anomalous identification signal, PR interval anomalous identification signal, the too high identification signal of blood oxygen saturation or the too low identification signal of blood oxygen saturation.
6. method as claimed in claim 2, is characterized in that:
Daubechies wavelet filtering subset, medium filtering subset, change of scale enhancer equipment, Target Segmentation subset and target recognition subset adopt different CPLD chips to realize respectively.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610001323.1A CN105411568A (en) | 2016-01-02 | 2016-01-02 | Automatic medical monitoring method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610001323.1A CN105411568A (en) | 2016-01-02 | 2016-01-02 | Automatic medical monitoring method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN105411568A true CN105411568A (en) | 2016-03-23 |
Family
ID=55490458
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610001323.1A Pending CN105411568A (en) | 2016-01-02 | 2016-01-02 | Automatic medical monitoring method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105411568A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106361287A (en) * | 2016-09-26 | 2017-02-01 | 深圳市欧瑞博电子有限公司 | Intelligent sleep monitoring and alarming method and system thereof |
| CN108294743A (en) * | 2017-12-29 | 2018-07-20 | 华为技术有限公司 | A kind of robot and ECG detecting method |
| CN111048209A (en) * | 2019-12-28 | 2020-04-21 | 安徽硕威智能科技有限公司 | Health assessment method and device based on living body face recognition and storage medium thereof |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104967832A (en) * | 2015-07-25 | 2015-10-07 | 刘纪君 | Method for detecting under-ship water area based on image processing |
| CN105184111A (en) * | 2015-11-06 | 2015-12-23 | 李良 | Fault identification system for direct current transmission line |
| CN105205984A (en) * | 2015-11-06 | 2015-12-30 | 刘琨 | Patrol instrument for extra-high voltage power transmission line |
-
2016
- 2016-01-02 CN CN201610001323.1A patent/CN105411568A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104967832A (en) * | 2015-07-25 | 2015-10-07 | 刘纪君 | Method for detecting under-ship water area based on image processing |
| CN105184111A (en) * | 2015-11-06 | 2015-12-23 | 李良 | Fault identification system for direct current transmission line |
| CN105205984A (en) * | 2015-11-06 | 2015-12-30 | 刘琨 | Patrol instrument for extra-high voltage power transmission line |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106361287A (en) * | 2016-09-26 | 2017-02-01 | 深圳市欧瑞博电子有限公司 | Intelligent sleep monitoring and alarming method and system thereof |
| CN108294743A (en) * | 2017-12-29 | 2018-07-20 | 华为技术有限公司 | A kind of robot and ECG detecting method |
| CN111048209A (en) * | 2019-12-28 | 2020-04-21 | 安徽硕威智能科技有限公司 | Health assessment method and device based on living body face recognition and storage medium thereof |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105205984B (en) | A kind of logging for UHV transmission line | |
| JP6194105B2 (en) | Improved signal selection for acquiring remote photoplethysmographic waveforms | |
| CN112057059B (en) | Psychological pressure intelligent acquisition, test and analysis system based on multi-mode physiological data | |
| WO2017076105A1 (en) | Fault identification system for use in direct current transmission line | |
| JP2007515977A5 (en) | ||
| CN103263271A (en) | Non-contact automatic blood oxygen saturation degree measurement system and measurement method | |
| Lin et al. | A pulse rate detection method for mouse application based on multi-PPG sensors | |
| CN105411568A (en) | Automatic medical monitoring method | |
| Bella et al. | Monitoring of physiological signs and their impact on the Covid-19 pandemic | |
| JP5839698B2 (en) | Biological information processing apparatus and program | |
| CN203408054U (en) | Multi-channel psychological analyzer based on Linux real-time operating system | |
| Hamad et al. | Remote ECG signal monitoring and classification based on Arduino with AD8232 sensor | |
| CN105395191A (en) | Age group detection-based personnel physiological status detection device | |
| CN105640541A (en) | Human body monitor | |
| CN105433940A (en) | Intelligent multi-parameter detection method | |
| CN105411533A (en) | Multifunctional medical monitoring alarming platform | |
| CN105411570A (en) | Automatic medical monitoring device | |
| CN105662364A (en) | Physiological parameter detection method based on age group detection | |
| Phan et al. | PPG Signal and application in the medical field | |
| CN105223424B (en) | Transformer station's on-Line Monitor Device | |
| CN105232037B (en) | A kind of transformer station on-Line Monitor Device | |
| KR101661116B1 (en) | Programmable multi-modal bio-signal processing module and healthcare platform using the same | |
| CN105433939A (en) | Personnel physiological state detecting method based on age group detection | |
| CN105433941A (en) | Intelligent multi-parameter detection platform | |
| CN105411585A (en) | Multifunctional medical monitoring alarming method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WD01 | Invention patent application deemed withdrawn after publication | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20160323 |