CN109394187A - Wearable cardiovascular health based on monomer side signal detection monitors system - Google Patents
Wearable cardiovascular health based on monomer side signal detection monitors system Download PDFInfo
- Publication number
- CN109394187A CN109394187A CN201811324064.1A CN201811324064A CN109394187A CN 109394187 A CN109394187 A CN 109394187A CN 201811324064 A CN201811324064 A CN 201811324064A CN 109394187 A CN109394187 A CN 109394187A
- Authority
- CN
- China
- Prior art keywords
- ratio
- pressure
- data
- max
- pulse
- 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.)
- Granted
Links
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/021—Measuring pressure in heart or blood vessels
- A61B5/022—Measuring pressure in heart or blood vessels by applying pressure to close blood vessels, e.g. against the skin; Ophthalmodynamometers
- A61B5/0225—Measuring pressure in heart or blood vessels by applying pressure to close blood vessels, e.g. against the skin; Ophthalmodynamometers the pressure being controlled by electric signals, e.g. derived from Korotkoff sounds
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/024—Detecting, measuring or recording pulse rate or heart rate
-
- 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
- A61B5/14542—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue for measuring blood gases
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/24—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
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
- A61B5/6813—Specially adapted to be attached to a specific body part
- A61B5/6814—Head
- A61B5/6815—Ear
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
- A61B5/6813—Specially adapted to be attached to a specific body part
- A61B5/6824—Arm or wrist
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
- A61B5/6813—Specially adapted to be attached to a specific body part
- A61B5/6825—Hand
- A61B5/6826—Finger
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
- A61B5/6813—Specially adapted to be attached to a specific body part
- A61B5/6829—Foot or ankle
-
- 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
-
- 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
- A61B5/7271—Specific aspects of physiological measurement analysis
Landscapes
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Medical Informatics (AREA)
- Animal Behavior & Ethology (AREA)
- Veterinary Medicine (AREA)
- Biophysics (AREA)
- Pathology (AREA)
- Public Health (AREA)
- Biomedical Technology (AREA)
- Heart & Thoracic Surgery (AREA)
- General Health & Medical Sciences (AREA)
- Molecular Biology (AREA)
- Surgery (AREA)
- Cardiology (AREA)
- Physiology (AREA)
- Vascular Medicine (AREA)
- Artificial Intelligence (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Psychiatry (AREA)
- Signal Processing (AREA)
- Ophthalmology & Optometry (AREA)
- Otolaryngology (AREA)
- Pulmonology (AREA)
- Optics & Photonics (AREA)
- Measuring Pulse, Heart Rate, Blood Pressure Or Blood Flow (AREA)
Abstract
The present invention discloses a kind of wearable cardiovascular health monitoring system based on monomer side signal detection, characterized by comprising: unilateral data-detection apparatus, for acquiring the basic cardiovascular information of person to be monitored；Data processor obtains monitoring and compares parameter for calculating detection data；Data storage, for storing data content；Data presentation device, for showing monitoring content.The utility model has the advantages that the data of monomer side can accurately reflect the cardiovascular blood vessel situation for arriving each section organ, the ratio of homogeneous data can substantially reduce the influence that individual difference analyzes data, the validity for analyzing data is reinforced, the present invention can accurately achieve the effect that monitoring, and whether the accurate cardiovascular blood circumstance to partes corporis humani point of reaction is normal.The medication of cardiovascular disease and the assessment of therapeutic effect etc. are monitored and assessed, instruct to cardiovascular health and generates good social benefit, improves the quality of life of the people, reduce medical treatment cost.
Description
Technical field
The present invention relates to cardiovascular health monitoring technical fields, specifically, are related to a kind of based on monomer side signal detection
Wearable cardiovascular health monitor system.
Background technique
Cardiovascular disease is the important diseases that current developed country's death rate accounts for first, highest in China and the death rate
A kind of disease, the World Health Organization have been classified as the number one killer for 21 century endangering human health.Therefore, how energetically into
Early stage Risk Screening, early warning and the health control of row cardiovascular disease are unusual distinct issues.
The shortcomings that prior art: the blood vessel situation of independent detection partes corporis humani position, and the basal vascular data by detecting are straight
It connects and obtains analysis as a result, basal vascular data made to analyze result inaccuracy for the reason of individual difference.
Summary of the invention
For the defect for directly obtaining analysis result by basal vascular data, the invention proposes one kind to be believed based on monomer side
Number detection wearable cardiovascular health monitor system, detect monomer side finger, ear-lobe, wrist, the data of ankle-joint, and
Joint each section data calculate analysis parameter, finally obtain accurate cardiovascular health parameter, by the monitoring of cardiovascular health,
On the one hand help to find cardiovascular disease early, win the quality time for treatment；Still further aspect facilitates to cardiovascular disease
Monitoring, direction of medication usage and the assessment curative effect of disease.
In order to achieve the above objectives, the specific technical solution that the present invention uses is as follows:
A kind of wearable cardiovascular health monitoring system based on monomer side signal detection, comprising:
Unilateral data-detection apparatus, for acquiring the basic cardiovascular information of person to be monitored, the basis cardiovascular information
It include: gas with single track electrocardiosignal, finger blood oxygen dual wavelength signal, the ear-lobe blood oxygen dual wavelength signal during unaerated, gas
With single track electrocardiosignal, finger blood oxygen dual wavelength signal, the ear-lobe blood oxygen dual wavelength signal, hand in deflation course and constant voltage process
Wrist gas band pressure, wrist pressure pulse signal, ankle-joint gas band pressure, ankle-joint pressure pulse signal, wherein finger blood oxygen is double
Wavelength signals include two signals detected by the light of two kinds of wavelength, and ear-lobe blood oxygen dual wavelength signal equally includes logical
Two signals that the light of two kinds of wavelength detects are crossed, and can therefrom choose a signal extraction and go out corresponding photoelectric sphyg
Signal；
The basis cardiovascular information is number corresponding to the finger on the same side of person to be monitored, ear-lobe, wrist, ankle-joint
According to；
Data processor obtains monitoring and compares parameter for calculating detection data；
Data storage, for storing data content；
Data presentation device, for showing monitoring content, which includes basic cardiovascular information or/and prison
Parameter is compared in survey；
The data receiver group of the output end group connection data processor of the unilateral side data-detection apparatus, at the data
The display receiving end group of the parameter output group connection data presentation device of device is managed, the data storage connects data processing
Device.
Since the vascular condition on the same side of human body is closer, using the data of monomer side it can be concluded that approximate ginseng
Numerical value, and once originally should approximate parameter value difference it is excessive, then illustrate that the vascular condition of a certain partial organ is bad, thus
The cardiovascular blood vessel situation for arriving each section organ can be accurately reflected；Meanwhile homogeneous data (such as blood oxygen double wave under health status
Long signal) parameter value on Different Organs (finger, ear-lobe) reacts cardiovascular blood transfusion ability, and this ability is to entire people
For body, though had differences between Different Individual, but to guarantee human body operate normally cardiovascular ability should be it is close,
As soon as then the ratio of homogeneous data should also be in the healthy section of very little, the ratio beyond this healthy section is not belonging to
The reason of individual difference but the reason of the individual autotransfusion ability, therefore the ratio of homogeneous data can substantially reduce individual
The influence that difference analyzes data, the validity for analyzing data are reinforced.By above-mentioned design, the effect of monitoring can accurately be reached
Fruit: it is whether normal that the cardiovascular blood circumstance to partes corporis humani point can be reacted well to a certain extent.
Further design, further includes user input equipment, for obtaining the personal information of person to be monitored；
Wireless data transfer module compares parameter to network-side for sending detection；
The user input equipment and wireless data transfer module are separately connected the data processor.
By above-mentioned design, person to be monitored can input the basic personal information of oneself by user input equipment, thus
Everyone independent database is generated, the content of database can then upload in network through wireless data transfer module, finally
Large database concept is formed, to more accurately obtain the data reference section of healthy person, the numerical value in non-section then can be obtained accurately
Cardiovascular unsound result.
Further design, the unilateral side data-detection apparatus includes ear-lobe photoelectricity blood oxygen dual-wavelength sensor, finger blood
Oxygen dual-wavelength sensor, wrist gas band pressure sensor, ankle gas band pressure sensor, electrocardioelectrode, pass through existing detection
Equipment can acquire the required basic cardiovascular information of the present invention.
Further design, the data processor include cardiovascular characteristic parameter extraction module, monitoring and evaluation data meter
Module is calculated, the angiocarpy characteristic parameter extraction module connects unilateral data-detection apparatus, and the monitoring and evaluation data calculate mould
Block connects data presentation device, and the angiocarpy characteristic parameter extraction module is connected with the monitoring and evaluation data computation module；
Wherein, the cardiovascular characteristic parameter extraction module extracts the cardiovascular feature ginseng of the basic cardiovascular information
Number, the angiocarpy characteristic parameter include at least: ratio R OS, the pressure pulse of ecg-r wave, blood oxygen saturation dual wavelength signal
The change rate of the waveform of signal, pressure pulse signal；
The ratio R OS of the blood oxygen saturation dual wavelength signal is the direct current for measuring two kinds of different wave lengths of blood oxygen saturation
Signal the ratio between average value within same cardiac cycle；
The monitoring and evaluation data computation module obtains monitoring and evaluation data, institute according to the cardiovascular calculation of characteristic parameters
State the cardiovascular health state that monitoring and evaluation data react person to be monitored；
The monitoring and evaluation data include at least entire gas in deflation course: the ratio R OS Unlimited period reduces
Mean Speed ROSdec, ratio R OS Unlimited period increased average speed ROSinc, pulse crest value two sides 80% pressure difference ratio
RPm0.8, pulse crest value two sides 50% pressure ratio RAPm0.5, maximum rate of change two sides 50% pressure ratio RAPMR0.5, it is maximum
The pressure difference ratio RP of change rate two sides 50%MR0.5。
For wrist deflation course, start to be greater than systolic pressure because the gas of wrist is with pressure, blood can hardly flow in and out
Finger, and finger tissue can gradually use up the oxygen in blood, therefore ROS value can be gradually reduced；And further subtract as gas is with pressure
Small, when gas is with pressure is less than systolic pressure, the blood of finger will generate flowing, and amount of flow can increase with gas reduction with pressure
Add, and then oxygen can obviously increase in blood in finger, therefore ROS value increases；Finally gas band pressure ratio diastolic pressure is also small, and blood vessel is basic
Will not deform, such ROS value just reaches basicly stable value, therefore, gas with there are the ratio R OS in deflation course most
Big value ROSmax, minimum value ROSmin。
By above-mentioned design, single track electrocardiosignal extracts ecg-r wave；Finger blood oxygen dual wavelength signal extraction goes out at finger
Blood oxygen saturation dual wavelength signal ratio R OS, it is double that ear-lobe blood oxygen dual wavelength signal extraction goes out the blood oxygen saturation at ear-lobe
The ratio R OS, two ratio R OS of wavelength signals show finger/ear-lobe hemoglobin ratio respectively, react oxygen supply situation；Ear-lobe
Photoelectric sphyg signal can extract the change rate of the waveform of the photoelectric sphyg signal at ear-lobe, photoelectric sphyg signal, wrist pressure
Pulse signal extracts the change rate of the waveform of the pressure pulse signal at wrist, pressure pulse signal, ankle-joint pressure pulse letter
Number the waveform of pressure pulse signal of ankle, the change rate of pressure pulse signal are extracted, thus calculated separately out at finger
RPm0.8、RAPm0.5、RAPMR0.5、RPMR0.5, the RP of anklem0.8、RAPm0.5、RAPMR0.5、RPMR0.5, the parameters in series point
Not Fan Ying heart to the blood vessel elasticity of wrist, the blood vessel elasticity of heart to ankle-joint.
Further design, the Mean Speed ROS that the ratio R OS Unlimited period reducesdec, ratio R OS Unlimited
Period increased average speed ROSincCalculation method it is as follows:
A1 extracts the maximum value ROS of ratio R OS described in all cardiac cyclesmax, minimum value ROSmin, first it is aroused in interest
The ratio R OS in periodsta, the last one cardiac cycle ratio R OSend, wherein minimum value ROSminThe cardiac cycle time at place
Sequence is n；
A2 calculates the Mean Speed ROS that the ratio R OS Unlimited period reducesdec:
A3 calculates the ratio R OS Unlimited period increased average speed ROSinc:
Wherein, ROScmaxTo meet:
Maximum value, ROSmAnd ROSm-1It is two neighboring cardiac cycle respectively
Ratio R OS, cardiac cycle order be respectively m and m-1.
Since there are individual difference influences for the numerical value that directly detects, so that health judge that section is very big, and it is same individual
Aspect ratio reacts blood work situation, if one of abnormal parameters, it is even more big that the ratio of 2 parameters will appear several times
Apparent variation, and between the Different Individual of health ratio would not difference it is very big, therefore judging result can be than direct numerical value
It is more acurrate to judge, it can also reduce the interference of individual difference, and the variation of ratio: the ratio R OS Unlimited period reduces flat
Equal rate ROSdec, ratio R OS Unlimited period increased average speed ROSinc, more can response data nuance, with this
To judge blood work situation more comprehensively.
Further design, the pressure difference ratio RP of pulse crest value two sides 80%m0.8, pulse crest value two sides 50%
Pressure ratio RAPm0.5Calculation method it is as follows:
B1 extracts the maximum amplitude A of the pressure pulse signal waveformmaxAnd maximum amplitude AmaxIt is with pressure to locate corresponding gas
Power PAmax；
B2 calculates maximum amplitude A in the waveform of the pressure pulse signalmax80% amplitude A of front and rear sidesd0.8、
As0.8, and obtain Ad0.8Locate corresponding gas band pressure Pd0.8、As0.8Locate corresponding gas band pressure Ps0.8, calculate the pressure pulse letter
Number waveform in maximum amplitude Amax50% amplitude A of front and rear sidesd0.5、 As0.5, and obtain Ad0.5Locate corresponding gas band pressure
Pd0.5、As0.5Locate corresponding gas band pressure Ps0.5；
B3 calculates the pressure difference ratio RP of pulse crest value two sides 80%m0.8, pulse crest value two sides 50% pressure ratio
RAPm0.5:
Likewise, above-mentioned ratio is eliminating individual difference influence, the good results are evident, reacts heart contraction dynamics and diastole
It is more acurrate in terms of dynamics.
Further design, the pressure ratio RAP of the maximum rate of change two sides 50%MR0.5, maximum rate of change two sides 50%
Pressure difference ratio RPMR0.5Calculation method it is as follows:
C1 extracts maximum rate of change MR in the change rate of the pressure pulse signalmaxAnd maximum rate of change MRmaxPlace
Corresponding gas band pressure PMRmax；
C2 calculates maximum rate of change MR in the change rate of the pressure pulse signalmax50% value MR of front and rear sidesd0.5、
MRs0.5, and obtain MRd0.5Locate corresponding gas band pressure PMRd0.5、MRs0.5Locate corresponding gas band pressure PMRs0.5；
C3 calculates the pressure ratio RAP of the maximum rate of change two sides 50%MR0.5, maximum rate of change two sides 50% pressure difference
Compare RPMR0.5:
Above-mentioned pressure ratio RAPMR0.5, pressure difference ratio RPMR0.5It can accurate response blood vessel elasticity.
Further design, the monitoring and evaluation data further include pulse transformation period ratios delta T/Ta, pulse variation
Time ratios Δ T/TaOr it is calculated by the data of no gas process with pressure, or the data by gas with deflation course calculate or gas
Data with constant voltage process calculate, and calculation method is as follows:
D1 extracts the maximum rate of change PMR of each cardiac cycle in pulse signalmaxAnd maximum rate of change PMRmaxPlace
Time tPMR, the pulse signal is pressure pulse or photoelectric sphyg；
The time point t of the ecg-r wave of each cardiac cycle is extracted simultaneouslyi, i is the order of cardiac cycle；
D2 calculates each time point tiWith time tPMRDifference DELTA ti, and extract the difference DELTA tiMaximum value tmaxWith
Minimum value tmin,
D3 calculates maximum value tmaxWith minimum value tminDifference:
Δ T=tmax-tmin
All difference DELTA tiAverage value:
Wherein, k is the sum of cardiac cycle；
Pulse transformation period ratios delta T/T is calculated in D4a, pulse transformation period ratios delta T/TaReact person to be monitored
Blood vessel elasticity and blood circumstance.
Pressure pulse signal described in above-mentioned steps also could alternatively be photoelectric sphyg signal.
Further design, the monitoring and evaluation data further include pulse propagation speed, the pulse propagation speed or are passed through
The data of no gas process with pressure calculate, or the data by gas with deflation course calculate or data of the gas with constant voltage process calculate,
The calculation method of the pulse propagation speed is as follows:
E1, the distance d of acquisition heart to ankle artery1, heart to radial artery distance d2, heart to ear-lobe distance d3, then
Obtain range difference | d1-d2|、|d2-d3|；
E2 extracts the maximum rate of change PMR of each cardiac cycle in pulse signalmaxAnd maximum rate of change PMRmaxPlace
Time tPMR, the pulse signal is pressure pulse or photoelectric sphyg；
Extract the time point t of the ecg-r wave of each cardiac cyclei, i is the order of cardiac cycle；
E3 calculates each time point tiWith time tPMRDifference DELTA ti, calculate all difference DELTA tiAverage value:
Wherein, k is the sum of cardiac cycle；
E4 calculates pulse propagation speed:
Wherein, DL and Td or are as follows: DL is range difference | d1-d2|, Td is the ankle wrist time difference: the average value T of ankle-jointaWrist
Average value Ta；
DL and Td or are as follows: DL is range difference | d2-d3|, Td is the ear wrist time difference: the average value T of ear-lobeaWrist is averaged
Value Ta。
Pulse propagation speed can react vascular stiffness degree, if DL and Td uses the first above-mentioned parameter value, hand can be obtained
The vascular sclerosis situation of portion to foot then reacts the vascular sclerosis situation in head portion in one's hands according to second of parameter value.
Further design, the monitoring and evaluation data further include:
The ratio of parameter during different acquisition: the finger ROS of the finger ROS mean value of unaerated process and deflation course is most
The ratio between big value, the ratio between finger ROS mean value and the finger ROS mean value of constant voltage process of unaerated process, the finger ROS mean value is
The average value of all ROS values in corresponding process, the finger ROS maximum value are the maximum value of ROS value in corresponding process；It is similar
The related ratio of ear-lobe can also be calculated；
The ratio between pulse propagation speed mean value and the pulse propagation speed maximum value of deflation course of unaerated process, unaerated
The ratio between pulse propagation speed mean value and the pulse propagation speed mean value of constant voltage process of process, the pulse propagation speed mean value is
The average value of all pulse propagation speed in corresponding process, the pulse propagation speed maximum value are pulse propagation in corresponding process
The maximum value of speed；
The ratio of finger parameter similar with ear-lobe: the ratio of the ratio R OS of the ratio R OS and ear-lobe of finger；
The ratio of wrist parameter similar with ankle: the A of wristmaxWith the A of anklemaxRatio, wrist PAmaxWith ankle
PAmaxRatio, wrist RPm0.8With the RP of anklem0.8Ratio, wrist RAPm0.5With the RAP of anklem0.5Ratio,
The MR of wristmaxWith the MR of anklemaxRatio, wrist RAPMR0.5With the RAP of ankleMR0.5Ratio, wrist RPMR0.5With
The RP of ankleMR0.5Ratio.
It may also include at finger and ear-lobe without (i.e. unaerated process) in gas situation with pressure: each cardiac cycle same wave
Long the photoelectric sphyg ratio of direct current average value, the ratio for rising maximum rate of change, the maximum variation of decline at ear-lobe and at index finger
The ratio of rate, peak-peak ratio, change the ratio of amplitude and the average value of above-mentioned ratio；
Wrist and ankle-joint are in deflation course: the ratio of systolic pressure, the ratio of diastolic pressure, mean blood pressure ratio.
By above-mentioned ratio, during different acquisition, the ratio of parameter, which can be known, does not pressurize and blood at this under pressurized condition
Whether liquid mobility status, analyzing has angiemphraxis, and similar aspect ratio can analyze out the blood vessel and blood flow of upper limb and lower limb
Otherness, judge the health status of upper and lower extremities blood vessel and blood flow, and eliminate individual difference influence, judging result is more accurate.
Beneficial effects of the present invention: the data of monomer side can accurately reflect the cardiovascular blood vessel feelings for arriving each section organ
Condition, the ratio of homogeneous data can substantially reduce the influence that individual difference analyzes data, and the validity for analyzing data is reinforced,
The present invention can accurately achieve the effect that monitoring, and whether the accurate cardiovascular blood circumstance to partes corporis humani point of reaction is normal.It removes
It can generate outside considerable economic benefit, it is often more important that the quality time can be won for treatment to find cardiovascular disease early,
The medication of cardiovascular disease and the assessment of therapeutic effect etc. are monitored and assessed, instruct to cardiovascular health generates good society
Meeting benefit, improves the quality of life of the people, reduces medical treatment cost.The present invention cannot be only used for clinic, it can also be used to the fields such as family
It closes, has a good application prospect and market value.
Detailed description of the invention
Fig. 1 is structural block diagram of the invention；
Fig. 2 is the schematic diagram of preferred embodiment；
Fig. 3 is human body monitoring position view；
Fig. 4 is the circuit design drawing of microprocessor in preferred embodiment；
Fig. 5 is flow chart of work methods of the invention；
Fig. 6 is ROSdec、ROSincCalculation method flow chart；
Fig. 7 is the change curve schematic diagram of embodiment ROS；
Fig. 8 is RPm0.8、RAPm0.5Calculation method flow chart；
Fig. 9 is pressure pulse signal intensity curve synoptic diagram during embodiment inflation/deflation；
Figure 10 is the change curve schematic diagram of pressure pulse signal and gas with pressure of embodiment；
Figure 11 is RAPMR0.5、RPMR0.5Calculation method flow chart；
Figure 12 is that the change rate of pressure pulse signal corresponds to gas band pressure schematic diagram；
Figure 13 is pulse transformation period ratios delta T/TaCalculation method flow chart；
Figure 14 is the calculation method flow chart of pulse propagation speed；
Figure 15 is ear-lobe photoelectric sphyg sensor schematic；
Figure 16 is finger photo pulse transducer schematic diagram；
Figure 17 is wrist gas band sphygmomanometer schematic diagram.
Specific embodiment
The present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.
As shown in Figure 1, a kind of wearable cardiovascular health based on monomer side signal detection monitors system, comprising:
Unilateral data-detection apparatus, for acquiring the basic cardiovascular information of person to be monitored, the basis cardiovascular information
It include: gas with single track electrocardiosignal, finger blood oxygen dual wavelength signal, the ear-lobe blood oxygen dual wavelength signal during unaerated, gas
With single track electrocardiosignal, finger blood oxygen dual wavelength signal, the ear-lobe blood oxygen dual wavelength signal, hand in deflation course and constant voltage process
Wrist gas band pressure, wrist pressure pulse signal, ankle-joint gas band pressure, ankle-joint pressure pulse signal；
The basis cardiovascular information is number corresponding to the finger on the same side of person to be monitored, ear-lobe, wrist, ankle-joint
According to；
Data processor obtains monitoring and compares parameter for calculating detection data；
Data storage, for storing data content；
Data presentation device, for showing monitoring content, which includes basic cardiovascular information or/and prison
Parameter is compared in survey；
The data receiver group of the output end group connection data processor of the unilateral side data-detection apparatus, at the data
The display receiving end group of the parameter output group connection data presentation device of device is managed, the data storage connects data processing
Device.
The data processor includes cardiovascular characteristic parameter extraction module, monitoring and evaluation data computation module；
Wherein, the cardiovascular characteristic parameter extraction module extracts the cardiovascular feature ginseng of the basic cardiovascular information
Number, the angiocarpy characteristic parameter include at least: ratio R OS, the pressure pulse of ecg-r wave, blood oxygen saturation dual wavelength signal
The change rate of the waveform of signal, pressure pulse signal；
The ratio R OS of the blood oxygen saturation dual wavelength signal is the direct current for measuring two kinds of different wave lengths of blood oxygen saturation
Signal the ratio between average value within same cardiac cycle；
The monitoring and evaluation data computation module obtains monitoring and evaluation data, institute according to the cardiovascular calculation of characteristic parameters
State the cardiovascular health state that monitoring and evaluation data react person to be monitored；
The monitoring and evaluation data include at least entire gas in deflation course: the ratio R OS Unlimited period reduces
Mean Speed ROSdec, ratio R OS Unlimited period increased average speed ROSinc, pulse crest value two sides 80% pressure difference ratio
RPm0.8, pulse crest value two sides 50% pressure ratio RAPm0.5, maximum rate of change two sides 50% pressure ratio RAPMR0.5, it is maximum
The pressure difference ratio RP of change rate two sides 50%MR0.5。
It further include user input equipment, for obtaining the personal information of person to be monitored；
Wireless data transfer module compares parameter to network-side for sending detection；
The user input equipment and wireless data transfer module are separately connected the data processor.
Preferably, the unilateral side data-detection apparatus includes ear-lobe photoelectricity blood oxygen dual-wavelength sensor (such as Figure 15), hand
Refer to blood oxygen dual-wavelength sensor (such as Figure 16), wrist gas band pressure sensor (such as Figure 17), ankle gas band pressure sensor, electrocardio
Electrode.
Monitoring carries out detection ear-lobe blood oxygen double wave in use, ear-lobe photoelectricity blood oxygen dual-wavelength sensor is placed on ear-lobe
Finger blood oxygen dual-wavelength sensor is placed in detection finger blood oxygen dual wavelength on finger by long signal, ear-lobe photoelectric sphyg signal
Signal, wrist gas is with wrist gas the band pressure, wrist pressure detected in inflation/deflation and constant voltage process after pressure sensor package wrist
Power pulse signal, ankle gas are with pressure with the ankle-joint gas detected in inflation/deflation and constant voltage process after pressure sensor package ankle-joint
Power, ankle-joint pressure pulse signal, and wrist gas band and ankle gas band inflation/deflation or the identical constant pressure of holding simultaneously, position detected
It sets or is all ear-lobe, finger, wrist and the ankle on the left of human body, or be all ear-lobe, finger, wrist and the ankle on the right side of human body,
As shown in Figure 3.
The present embodiment is illustrated with structure shown in Fig. 2, including sensor and execution unit, pre-amplifier unit, band
Pass filter and 50Hz trap wave unit, programmable amplifying unit, microprocessor unit, inflation/deflation driving unit, SD card memory list
Member, calendar cells, positioning unit, WiFi communication unit, the strong control unit of LED light, touch screen input and display unit, DC-DC
Power supply unit.Wherein, sensor and execution unit are mainly by unilateral ear-lobe and index finger photoelectric sphyg sensor, unilateral wrist, ankle
Joint gas band pressure sensor and Mini-size inflation pump, vent valve, electrocardioelectrode, patch type body temperature transducer etc. are constituted；Before
Big unit is put mainly to be made of the high-precisions integrated transporting discharging such as AD620, LMC6082；Bandpass filtering and 50Hz trap wave unit are main
Active power filtering is made of high-precision integrated transporting discharging LMC6084 and LMC6082 and 50Hz trapper realizes filtering；Programmable amplification is single
Member is mainly made of digital-control amplifier PGA112；Microprocessor unit is mainly made of STM32F407VG；Inflation/deflation driving unit
Mainly there are triode and field-effect tube to constitute；SD card memory cell is mainly made of SD card；Calendar cells are mainly by calendar block
Piece is constituted；Positioning unit is mainly made of Beidou positioning module；WiFi communication unit is mainly made of wireless WiFi communication module；
LED intensity control unit is mainly made of voltage-current converter circuit and analog-digital chip, realizes blood oxygen at ear-lobe and finger
The strong control of LED light used in dual wavelength signal measurement；Touch screen input and display unit are mainly made of color touch screen, real
The input and display of existing various information；DC-DC power supply unit is made of various voltage stabilizing chips, is powered for other units.
Wherein microprocessor is preferably STM32F407VG, as shown in figure 4, its kernel is the ARM 32-bit with FPU
CortexTM- M4CPU has the flash memory of 1024Kbytes, the static storage of 192Kbytes, 14 timers, 3
SPI interface, 6 serial interfaces, 1 SD card interface, 3 12 A/D converters, 2 12 D/A converters, the maximum of CPU
Frequency is up to 168MHz.Wherein, simulation input node AD_ECG, AD_Ear, AD_Wrist, AD_Finger, AD_Ankle,
Temp respectively with cardiac electrical numerical control output, the numerical control output of ear-lobe dual wavelength light electric signal, hand in programmable amplifier unit
The numerical control output of wrist pressure and pressure pulse signal, the numerical control output of finger dual wavelength light electric signal, ankle-joint pressure and pressure
The numerical control output of pulse signal, the numerical control output of temperature signal are connected, and are realized using the A/D conversion of band in microprocessor corresponding
Measurement；Digital-to-analogue conversion output node DA1, DA2 connects with programmable amplifying unit, the direct current biasing of control blood oxygen saturation dual wavelength
Voltage；Node BloodEnable1, BloodEnable2, DAC122SCLK, DAC122SYNC, DAC122DIN and LED light are strong
Control unit is connected, and realizes the control of blood oxygen saturation dual-wavelength LEDs light intensity；Node SD_DAT0-SD_DAT3, SD_CLK,
SD_CMD with, respectively node corresponding with SD card memory cell be connected, realize the storage of various data；Node GPS_RX,
GPS_TX, PPS are connected with the corresponding node of positioning unit respectively, realize the acquisition of location information；Node WiFi_RXD, WiFi_
TXD is connected with WiFi communication unit respectively, passes through wireless parties realization and peripheral communication；Node DS1302CLK, DS1302IO,
DS1302RST is connected with calendar cells respectively, realizes the setting and reading on date；Node LCD_CLK, LCD_MISO, LCD_
MOSI, TDout, TDin, TCLK, TBusy, TPenIRQ are connected with touch screen input and display unit corresponding node respectively, realize
The input and display of various information；Node ChangeAir1, ChangeAir2, PWM1, PWM2 are corresponding with inflation/deflation unit respectively
Node is connected, and realizes inflatable and deflatable control；Node PGA112_SCK_A, PGA112_DIO_A, PGA112_CS_A,
PGA112_SCK_W、 PGA112_DIO_W、PGA112_CS_W、PGA112_SCK_E、PGA112_DIO_E、 PGA112_CS_
E, PGA112_SCK_F, PGA112_DIO_F, PGA112_CS_F are connected with corresponding node in programmable amplifying unit respectively, real
The control of the road Xian Ge signal amplification factor；Interface Serial is connected with external serial ports, the download online for microprocessor software；
Under control of the microprocessor, realization has issues prompt tone by key pressing etc. to buzzer Buzz；Interface Boot and external connection are used
It is to enter operating status or programming state in controlling microprocessor after the power-up；ADR363B is that band A/D is converted in microprocessor
And D/A conversion provides high-precision 3.0V reference voltage；The 3.3V pulse-modulated signal that 74HC04 exports microprocessor is converted
For the pulse width modulating signal of 5.0V；Light emitting diode D1 and D2 are used for the instruction of running state of programs；Supply node
AV3.3V, DV3.3V, AV+5.0V, DV+5.0V, DGND, AGND are electric with the analog power 3.3V in power supply unit, number respectively
Source 3.3V, analog power 5.0V, digital power 5.0V, digitally, simulation it is connected, provides working power for the unit.
Working method of the invention is as shown in figure 5, the present embodiment only carries out sample calculation with the data of finger and wrist:
S1, first synchronous acquisition not the single track electrocardiosignal to gas with fueling process person to be monitored, finger blood oxygen double wave long letter
Number, ear-lobe blood oxygen dual wavelength signal, and from ear-lobe blood oxygen dual wavelength signal extraction ear-lobe photoelectric sphyg signal, acquisition time default
It is set as 30s；Resynchronisation acquires person's wrist to be monitored and ankle gas band, and the constant pressure of inflation/deflation and different pressure (is defaulted simultaneously
Believe for the wrist gas band pressure during four kinds of pressure 60mmHg, 80mmHg, 100mmHg and 120mmHg), wrist pressure pulse
Number, ankle-joint gas band pressure, ankle-joint pressure pulse signal and single track electrocardiosignal, finger blood oxygen dual wavelength signal, ear-lobe
Blood oxygen dual wavelength signal, entire collection process are about 240s；
Wherein, the finger blood oxygen dual wavelength signal, ear-lobe blood oxygen dual wavelength signal, ear-lobe photoelectric sphyg signal, wrist
Gas band pressure, wrist pressure pulse signal, ankle-joint gas band pressure, ankle-joint pressure pulse signal are preferably the left body of person to be monitored
The finger of side, ear-lobe, wrist, data corresponding to ankle-joint；
S2 passes through the heart rate in difference threshold algorithm extraction electrocardiosignal, heart rate variability rate, ecg-r wave；
By wrist gas with pressure, wrist pressure pulse signal extract the systolic pressure of radial artery, diastolic pressure, mean blood pressure,
Blood pressure index, by ankle-joint gas with the pressure, systolic pressure of ankle-joint pressure pulse signal extraction ankle artery, diastolic pressure, average
Blood pressure, blood pressure index；
Calculate the ratio R OS of the finger blood oxygen saturation dual wavelength signal of each cardiac cycle, the ratio in the present embodiment
ROS is the average value of the average value ratio 660nm wavelength direct current signal of 940nm wavelength direct current signal；
The waveform of the wrist pressure pulse signal is extracted, maximum amplitude A is obtainedmaxAnd maximum amplitude AmaxLocate corresponding
Wrist gas band pressure PAmax, the change rate of the wrist pressure pulse signal is extracted, maximum rate of change MR is obtainedmaxAnd the maximum
Change rate MRmaxLocate corresponding wrist gas band pressure PMRmax；
S3 obtains monitoring and evaluation data according to the cardiovascular calculation of characteristic parameters, and the monitoring and evaluation data are reacted
The cardiovascular health state of person to be monitored；
The monitoring and evaluation data include at least entire gas in deflation course: the ratio R OS Unlimited period reduces
Mean Speed ROSdec, ratio R OS Unlimited period increased average speed ROSinc, pulse crest value two sides 80% pressure difference ratio
RPm0.8, pulse crest value two sides 50% pressure ratio RAPm0.5, maximum rate of change two sides 50% pressure ratio RAPMR0.5, it is maximum
The pressure difference ratio RP of change rate two sides 50%MR0.5。
Wherein, the Mean Speed ROS that the ratio R OS Unlimited period reducesdec, the ratio R OS Unlimited period it is increased
Average speed ROSincCalculation method it is as shown in Figure 6:
A1 extracts the maximum value ROS of ratio R OS described in all cardiac cyclesmax, minimum value ROSmin, first it is aroused in interest
The ratio R OS in periodsta, the last one cardiac cycle ratio R OSend, wherein minimum value ROSminThe cardiac cycle time at place
Sequence is n；
A2 calculates the Mean Speed ROS that the ratio R OS Unlimited period reducesdec:
A3 calculates the ratio R OS Unlimited period increased average speed ROSinc:
Wherein, ROScmaxTo meet:
Maximum value, ROSmAnd ROSm-1It is the ratio of two neighboring cardiac cycle respectively
Value ROS, cardiac cycle order be respectively m and m-1.
Fig. 7 is ROS change curve at deflation course finger obtained in wherein one acquisition.
The ratio between finger ROS mean value and the finger ROS maximum value of deflation course of unaerated process are calculated, unaerated process
The ratio between finger ROS mean value and the finger ROS mean value of constant voltage process, the finger ROS mean value are all ROS values in corresponding process
Average value, the finger ROS maximum value are the maximum value of ROS value in corresponding process.
The pressure difference ratio RP of pulse crest value two sides 80% at wristm0.8, pulse crest value two sides 50% pressure ratio
RAPm0.5Calculation method it is as shown in Figure 8, wherein pressure pulse signal intensity situation such as Fig. 9, Tu10Suo of inflation/deflation process
Show:
Maximum amplitude A in the waveform of the wrist pressure pulse signal is calculated using linear interpolationmaxFront and rear sides
80% amplitude Ad0.8、As0.8, and obtain Ad0.8Locate corresponding wrist gas band pressure Pd0.8、As0.8Locate corresponding wrist gas band pressure
Ps0.8,
Maximum amplitude A in the waveform of the wrist pressure pulse signal is calculated using linear interpolationmaxFront and rear sides
50% amplitude Ad0.5、As0.5, and obtain Ad0.5Locate corresponding wrist gas band pressure Pd0.5、As0.5Locate corresponding wrist gas band pressure
Ps0.5；
Calculate the pressure difference ratio RP of 80% amplitude of two sidesm0.8, 50% amplitude of two sides pressure ratio RAPm0.5:
The pressure ratio RAP of maximum rate of change two sides 50% as shown in figure 11MR0.5, maximum rate of change two sides 50% pressure difference
Compare RPMR0.5Calculation method it is as follows:
Calculate maximum rate of change MR in the change rate of the wrist pressure pulse signalmax50% value of front and rear sides
MRd0.5、MRs0.5, and obtain MRd0.5Locate corresponding wrist gas band pressure PMRd0.5、MRs0.5Locate corresponding wrist gas band pressure
PMRs0.5；
Calculate the pressure ratio RAP of 50% change rate of two sidesMR0.5, 50% change rate of two sides pressure difference ratio RPMR0.5:
Figure 12 is the case where change rate of pressure pulse signal corresponds to gas band pressure.
The above-mentioned data being calculated as at wrist, likewise, can be calculated according to the method for each parameter at above-mentioned calculating wrist
The correspondence parameter of ankle: the maximum amplitude A of ankle-joint pressure pulse signalmaxAnd its corresponding ankle-joint gas band pressure
PAmax, 80% amplitude of two sides pressure difference ratio RPm0.8, 50% amplitude of two sides pressure ratio RAPm0.5, ankle-joint pressure pulse signal
Maximum rate of change MRmax, 50% change rate of two sides pressure ratio RAPMR0.5, 50% change rate of two sides pressure difference ratio RPMR0.5；
Finally calculate wrist parameter similar with ankle-joint ratio: the ratio of the systolic pressure of the systolic pressure and ankle of wrist,
The ratio of the mean blood pressure of the ratio of diastolic pressure of the diastolic pressure and ankle of wrist, the mean blood pressure of wrist and ankle, wrist
AmaxWith the A of anklemaxRatio, wrist PAmaxWith the PA of anklemaxRatio, wrist RPm0.8With the RP of anklem0.8Ratio
The RAP of value, wristm0.5With the RAP of anklem0.5Ratio, wrist MRmaxWith the MR of anklemaxRatio, wrist RAPMR0.5
With the RAP of ankleMR0.5Ratio, wrist RPMR0.5With the RP of ankleMR0.5Ratio, can be reacted by these ratios wait supervise
The blood flow situation of survey person's upper limb and lower limb；
Pulse transformation period ratios delta T/T as shown in fig. 13 thataCalculation method is as follows:
Data of the present embodiment with gas with deflation course calculate, and calculation method is as follows:
Extract the maximum rate of change PMR of each cardiac cycle in pressure pulse signalmaxAnd maximum rate of change PMRmaxPlace
Time tPMR, while extracting the time point t of the ecg-r wave of each cardiac cyclei, i is the order of cardiac cycle；
Calculate each time point tiWith time tPMRDifference DELTA tiAnd extract the difference DELTA tiMaximum value tmaxAnd minimum
Value tmin, calculate maximum value tmaxWith minimum value tminDifference:
Δ T=tmax-tmin
All difference DELTA tiAverage value:
K is the sum of cardiac cycle；
Then obtain time ratios Δ T/Ta, time ratios Δ T/TaThe blood vessel elasticity and blood flow of person to be monitored can be reacted
Situation；
The pulse propagation speed is equally using the pressure pulse of deflation course as sample calculation, wherein TaCalculating can edge
With above-mentioned calculated result, calculation method is as shown in figure 14:
Distance d of the acquisition heart to ankle artery1, heart to radial artery distance d2, heart to ear-lobe distance d3, then
To range difference | d1-d2|、|d1-d3|；
Calculate pulse propagation speed:
Wherein, DL and Td is preferred are as follows: DL is range difference | d1-d2|, Td is the ankle wrist time difference: the average value T of ankle-jointaHand
The average value T of wrista；
The ratio between pulse propagation speed mean value and the pulse propagation speed maximum value of deflation course of unaerated process are calculated, not
The ratio between pulse propagation speed mean value and the pulse propagation speed mean value of constant voltage process of gas replenishment process, the pulse propagation speed is equal
Value is the average value of all pulse propagation speed in corresponding process, and the pulse propagation speed maximum value is pulse in corresponding process
The maximum value of spread speed；
The cardiovascular health situation of the person to be monitored is assessed according to the cardiovascular characteristic parameter.
Claims (10)
1. a kind of wearable cardiovascular health based on monomer side signal detection monitors system, characterized by comprising:
Unilateral data-detection apparatus, for acquiring the basic cardiovascular information of person to be monitored, the basis cardiovascular information includes:
Gas is deflated with single track electrocardiosignal, finger blood oxygen dual wavelength signal, the ear-lobe blood oxygen dual wavelength signal during unaerated, gas band
Single track electrocardiosignal, finger blood oxygen dual wavelength signal, ear-lobe blood oxygen dual wavelength signal, wrist gas band in process and constant voltage process
Pressure, wrist pressure pulse signal, ankle-joint gas band pressure, ankle-joint pressure pulse signal；
The basis cardiovascular information is data corresponding to the finger on the same side of person to be monitored, ear-lobe, wrist, ankle-joint；
Data processor obtains monitoring and compares parameter for calculating detection data；
Data storage, for storing data content；
Data presentation device, for showing monitoring content, which includes basic cardiovascular information or/and monitoring rate
Compared with parameter；
The data receiver group of the output end group connection data processor of the unilateral side data-detection apparatus, the data processor
Parameter output group connection data presentation device display receiving end group, the data storage connects data processor.
2. the wearable cardiovascular health based on monomer side signal detection monitors system, feature according to claim 1
It is to further include user input equipment, for obtaining the personal information of person to be monitored；
Wireless data transfer module compares parameter to network-side for sending detection；
The user input equipment and wireless data transfer module are separately connected the data processor.
3. the wearable cardiovascular health based on monomer side signal detection monitors system, feature according to claim 1
Be: the unilateral side data-detection apparatus includes ear-lobe photoelectricity blood oxygen dual-wavelength sensor, finger blood oxygen dual-wavelength sensor, hand
Wrist gas band pressure sensor, ankle gas band pressure sensor, electrocardioelectrode.
4. the wearable cardiovascular health based on monomer side signal detection monitors system, feature according to claim 1
Be: the data processor includes cardiovascular characteristic parameter extraction module, monitoring and evaluation data computation module；
Wherein, the cardiovascular characteristic parameter extraction module extracts the cardiovascular characteristic parameter of the basic cardiovascular information, institute
It states cardiovascular characteristic parameter to include at least: ecg-r wave, the ratio R OS of blood oxygen saturation dual wavelength signal, pressure pulse signal
The change rate of waveform, pressure pulse signal；
The ratio R OS of the blood oxygen saturation dual wavelength signal is the direct current signal for measuring two kinds of different wave lengths of blood oxygen saturation
The ratio between average value within same cardiac cycle；
The monitoring and evaluation data computation module obtains monitoring and evaluation data, the prison according to the cardiovascular calculation of characteristic parameters
The cardiovascular health state that data react person to be monitored is estimated in assessment；
The monitoring and evaluation data include at least entire gas in deflation course: what the ratio R OS Unlimited period reduced is averaged
Rate ROSdec, ratio R OS Unlimited period increased average speed ROSinc, pulse crest value two sides 80% pressure difference ratio
RPm0.8, pulse crest value two sides 50% pressure ratio RAPm0.5, maximum rate of change two sides 50% pressure ratio RAPMR0.5, it is maximum
The pressure difference ratio RP of change rate two sides 50%MR0.5。
5. the wearable cardiovascular health based on monomer side signal detection monitors system, feature according to claim 4
It is: the Mean Speed ROS that the ratio R OS Unlimited period reducesdec, ratio R OS Unlimited period increased average speed
ROSincCalculation method it is as follows:
A1 extracts the maximum value ROS of ratio R OS described in all cardiac cyclesmax, minimum value ROSmin, the first cardiac cycle
Ratio R OSsta, the last one cardiac cycle ratio R OSend, wherein minimum value ROSminThe cardiac cycle order at place is n；
A2 calculates the Mean Speed ROS that the ratio R OS Unlimited period reducesdec:
A3 calculates the ratio R OS Unlimited period increased average speed ROSinc:
Wherein, ROScmaxTo meet:
Maximum value, ROSmAnd ROSm-1The ratio R OS of two neighboring cardiac cycle respectively, cardiac cycle order be respectively m
And m-1.
6. the wearable cardiovascular health based on monomer side signal detection monitors system, feature according to claim 4
It is: the pressure difference ratio RP of pulse crest value two sides 80%m0.8, pulse crest value two sides 50% pressure ratio RAPm0.5Meter
Calculation method is as follows:
B1 extracts the maximum amplitude A of the pressure pulse signal waveformmaxAnd maximum amplitude AmaxLocate corresponding gas band pressure
PAmax；
B2 calculates maximum amplitude A in the waveform of the pressure pulse signalmax80% amplitude A of front and rear sidesd0.8、As0.8, and obtain
Obtain Ad0.8Locate corresponding gas band pressure Pd0.8、As0.8Locate corresponding gas band pressure Ps0.8,
Calculate maximum amplitude A in the waveform of the pressure pulse signalmax50% amplitude A of front and rear sidesd0.5、As0.5, and obtain
Ad0.5Locate corresponding gas band pressure Pd0.5、As0.5Locate corresponding gas band pressure Ps0.5；
B3 calculates the pressure difference ratio RP of pulse crest value two sides 80%m0.8, pulse crest value two sides 50% pressure ratio
RAPm0.5:
7. the wearable cardiovascular health based on monomer side signal detection monitors system, feature according to claim 4
It is: the pressure ratio RAP of the maximum rate of change two sides 50%MR0.5, maximum rate of change two sides 50% pressure difference ratio RPMR0.5's
Calculation method is as follows:
C1 extracts maximum rate of change MR in the change rate of the pressure pulse signalmaxAnd maximum rate of change MRmaxLocate corresponding
Gas band pressure PMRmax；
C2 calculates maximum rate of change MR in the change rate of the pressure pulse signalmax50% value MR of front and rear sidesd0.5、
MRs0.5, and obtain MRd0.5Locate corresponding gas band pressure PMRd0.5、MRs0.5Locate corresponding gas band pressure PMRs0.5；
C3 calculates the pressure ratio RAP of the maximum rate of change two sides 50%MR0.5, maximum rate of change two sides 50% pressure difference ratio
RPMR0.5:
8. the wearable cardiovascular health based on monomer side signal detection monitors system, feature according to claim 4
Be: the monitoring and evaluation data further include pulse transformation period ratios delta T/Ta, pulse transformation period ratios delta T/TaOr it is logical
The data for crossing no gas process with pressure calculate, or the data by gas with deflation course calculate or data meter of the gas with constant voltage process
It calculates, calculation method is as follows:
D1 extracts the maximum rate of change PMR of each cardiac cycle in pulse signalmaxAnd maximum rate of change PMRmaxThe time at place
tPMR, the pulse signal is pressure pulse or photoelectric sphyg；
The time point t of the ecg-r wave of each cardiac cycle is extracted simultaneouslyi, i is the order of cardiac cycle；
D2 calculates each time point tiWith time tPMRDifference DELTA ti, and extract the difference DELTA tiMaximum value tmaxAnd minimum
Value tmin,
D3 calculates maximum value tmaxWith minimum value tminDifference:
Δ T=tmax-tmin
All difference DELTA tiAverage value:
Wherein, k is the sum of cardiac cycle；
Pulse transformation period ratios delta T/T is calculated in D4a, pulse transformation period ratios delta T/TaReact the blood of person to be monitored
Tubular elastic and blood circumstance.
9. the wearable cardiovascular health based on monomer side signal detection monitors system, feature according to claim 4
Be: the monitoring and evaluation data further include pulse propagation speed, the pulse propagation speed or the number by no gas process with pressure
Data according to calculating, or by gas with deflation course calculate or data of the gas with constant voltage process calculate, the pulse propagation speed
Calculation method it is as follows:
E1, the distance d of acquisition heart to ankle artery1, heart to radial artery distance d2, heart to ear-lobe distance d3, then obtain
Range difference | d1-d2|、|d2-d3|；
E2 extracts the maximum rate of change PMR of each cardiac cycle in pulse signalmaxAnd maximum rate of change PMRmaxThe time at place
tPMR, the pulse signal is pressure pulse or photoelectric sphyg；
Extract the time point t of the ecg-r wave of each cardiac cyclei, i is the order of cardiac cycle；
E3 calculates each time point tiWith time tPMRDifference DELTA ti, calculate all difference DELTA tiAverage value:
Wherein, k is the sum of cardiac cycle；
E4 calculates pulse propagation speed:
Wherein, DL and Td or are as follows: DL is range difference | d1-d2|, Td is the ankle wrist time difference: the average value T of ankle-jointaWrist is put down
Mean value Ta；
DL and Td or are as follows: DL is range difference | d2-d3|, Td is the ear wrist time difference: the average value T of ear-lobeaThe average value T of wrista。
10. the wearable cardiovascular health according to one of claim 4-7 based on monomer side signal detection monitors system,
It is characterized in that the monitoring and evaluation data further include:
The ratio of parameter during different acquisition: the finger ROS mean value of unaerated process and the finger ROS maximum value of deflation course
The ratio between, the ratio between finger ROS mean value and the finger ROS mean value of constant voltage process of unaerated process, the finger ROS mean value are to correspond to
The average value of all ROS values in the process, the finger ROS maximum value are the maximum value of ROS value in corresponding process；
The ratio between pulse propagation speed mean value and the pulse propagation speed maximum value of deflation course of unaerated process, unaerated process
Pulse propagation speed mean value and the ratio between the pulse propagation speed mean value of constant voltage process, the pulse propagation speed mean value is to correspond to
The average value of all pulse propagation speed in the process, the pulse propagation speed maximum value are pulse spread speed in corresponding process
Maximum value；
The ratio of finger parameter similar with ear-lobe: the ratio of the ratio R OS of the ratio R OS and ear-lobe of finger；
The ratio of wrist parameter similar with ankle: the A of wristmaxWith the A of anklemaxRatio, wrist PAmaxWith ankle
PAmaxRatio, wrist RPm0.8With the RP of anklem0.8Ratio, wrist RAPm0.5With the RAP of anklem0.5Ratio, hand
The MR of wristmaxWith the MR of anklemaxRatio, wrist RAPMR0.5With the RAP of ankleMR0.5Ratio, wrist RPMR0.5With foot
The RP of ankleMR0.5Ratio.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811324064.1A CN109394187B (en) | 2018-11-08 | 2018-11-08 | Wearable cardiovascular health monitoring system based on monomer side signal detection |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811324064.1A CN109394187B (en) | 2018-11-08 | 2018-11-08 | Wearable cardiovascular health monitoring system based on monomer side signal detection |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109394187A true CN109394187A (en) | 2019-03-01 |
| CN109394187B CN109394187B (en) | 2021-10-22 |
Family
ID=65472465
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811324064.1A Active CN109394187B (en) | 2018-11-08 | 2018-11-08 | Wearable cardiovascular health monitoring system based on monomer side signal detection |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109394187B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114098660A (en) * | 2020-08-31 | 2022-03-01 | 逢甲大学 | Arteriosclerosis risk assessment system |
Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102008300A (en) * | 2010-12-10 | 2011-04-13 | 吉林大学 | Wearable multiple physiological parameter recording device |
| US20120041279A1 (en) * | 2010-08-13 | 2012-02-16 | Respiratory Motion, Inc. | Devices and methods for respiratory variation monitoring by measurement of respiratory volumes, motion and variability |
| US20130231574A1 (en) * | 2006-05-24 | 2013-09-05 | Bao Tran | Fitness monitoring |
| CN104173036A (en) * | 2014-09-11 | 2014-12-03 | 重庆大学 | Pulse wave acquisition device, and non-invasive blood pressure continuous beat-to-beat measuring system and method |
| CN204016263U (en) * | 2014-01-17 | 2014-12-17 | 深圳源动创新科技有限公司 | Hand-held physical parameter detector |
| CN104287721A (en) * | 2014-10-31 | 2015-01-21 | 龙泉千成电子科技有限公司 | Vehicle-mounted multi-parameter physiological monitoring device |
| CN105726000A (en) * | 2016-01-29 | 2016-07-06 | 北京工业大学 | Method for calculating heart and vessel functional parameters based on blood pressure and pulses of four limbs |
| CN106037738A (en) * | 2016-07-11 | 2016-10-26 | 中国人民解放军第三军医大学第三附属医院 | Wearable physical training evaluation system and device |
| US20170224233A1 (en) * | 2002-03-25 | 2017-08-10 | Masimo Corporation | Body worn mobile medical patient monitor |
| CN107212866A (en) * | 2016-03-21 | 2017-09-29 | 天津市艾维金属制品有限公司 | A kind of intelligent nursing monitor supervision platform |
| CN107320139A (en) * | 2017-08-04 | 2017-11-07 | 重庆医科大学 | Laparoscope single hole multi-path Rotating-manipulatiodevice device |
| US20170372009A1 (en) * | 2016-06-28 | 2017-12-28 | Alodeep Sanyal | Cloud-based analytical platform for health data pattern and trend analysis |
| CN108289611A (en) * | 2015-08-26 | 2018-07-17 | 元素科学公司 | Wearable device |
| CN108309263A (en) * | 2018-02-24 | 2018-07-24 | 乐普（北京）医疗器械股份有限公司 | Multi-parameter monitoring data analysing method and multi-parameter monitoring system |
| CN209360675U (en) * | 2018-07-06 | 2019-09-10 | 浙江大学山东工业技术研究院 | Wristwatch type blood pressure monitoring device based on pulse wave velocity method |
-
2018
- 2018-11-08 CN CN201811324064.1A patent/CN109394187B/en active Active
Patent Citations (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20170224233A1 (en) * | 2002-03-25 | 2017-08-10 | Masimo Corporation | Body worn mobile medical patient monitor |
| US20130231574A1 (en) * | 2006-05-24 | 2013-09-05 | Bao Tran | Fitness monitoring |
| US9107586B2 (en) * | 2006-05-24 | 2015-08-18 | Empire Ip Llc | Fitness monitoring |
| US20120041279A1 (en) * | 2010-08-13 | 2012-02-16 | Respiratory Motion, Inc. | Devices and methods for respiratory variation monitoring by measurement of respiratory volumes, motion and variability |
| CN102008300A (en) * | 2010-12-10 | 2011-04-13 | 吉林大学 | Wearable multiple physiological parameter recording device |
| CN204016263U (en) * | 2014-01-17 | 2014-12-17 | 深圳源动创新科技有限公司 | Hand-held physical parameter detector |
| CN104173036A (en) * | 2014-09-11 | 2014-12-03 | 重庆大学 | Pulse wave acquisition device, and non-invasive blood pressure continuous beat-to-beat measuring system and method |
| CN104287721A (en) * | 2014-10-31 | 2015-01-21 | 龙泉千成电子科技有限公司 | Vehicle-mounted multi-parameter physiological monitoring device |
| CN108289611A (en) * | 2015-08-26 | 2018-07-17 | 元素科学公司 | Wearable device |
| CN105726000A (en) * | 2016-01-29 | 2016-07-06 | 北京工业大学 | Method for calculating heart and vessel functional parameters based on blood pressure and pulses of four limbs |
| CN107212866A (en) * | 2016-03-21 | 2017-09-29 | 天津市艾维金属制品有限公司 | A kind of intelligent nursing monitor supervision platform |
| US20170372009A1 (en) * | 2016-06-28 | 2017-12-28 | Alodeep Sanyal | Cloud-based analytical platform for health data pattern and trend analysis |
| CN106037738A (en) * | 2016-07-11 | 2016-10-26 | 中国人民解放军第三军医大学第三附属医院 | Wearable physical training evaluation system and device |
| CN107320139A (en) * | 2017-08-04 | 2017-11-07 | 重庆医科大学 | Laparoscope single hole multi-path Rotating-manipulatiodevice device |
| CN108309263A (en) * | 2018-02-24 | 2018-07-24 | 乐普（北京）医疗器械股份有限公司 | Multi-parameter monitoring data analysing method and multi-parameter monitoring system |
| CN209360675U (en) * | 2018-07-06 | 2019-09-10 | 浙江大学山东工业技术研究院 | Wristwatch type blood pressure monitoring device based on pulse wave velocity method |
Non-Patent Citations (3)
| Title |
|---|
| LONGCONG CHEN,ET AL: "A novel signal acquisition platform of human cardiovascular information with noninvasive method", 《REVIEW OF SCIENTIFIC INSTRUMENTS》 * |
| MAHMOUD AL AHMAD,ET AL: "Piezologist: A Novel Wearable Piezoelectric-based Cardiorespiratory Monitoring System", 《2018 INNOVATIONS IN INTELLIGENT SYSTEMS AND APPLICATIONS》 * |
| 刘光达等: "穿戴式人体参数连续监测系统", 《吉林大学学报（工学版）》 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114098660A (en) * | 2020-08-31 | 2022-03-01 | 逢甲大学 | Arteriosclerosis risk assessment system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN109394187B (en) | 2021-10-22 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102008296B (en) | Device and method for measuring arterial blood pressures based on pulse wave signals and electrocardiosignals | |
| WO2017206838A1 (en) | Blood pressure measurement instrument | |
| CN109512409B (en) | Cardiovascular health assessment device and use method thereof | |
| US20110288421A1 (en) | Blood pressure monitor | |
| US20150087928A1 (en) | Measuring tissue volume with dynamic autoreconfiguration | |
| CN105708431A (en) | Real-time blood pressure measuring device and measuring method | |
| CN104545848B (en) | Finger detection sensing device | |
| Wan et al. | Reflective type blood oxygen saturation detection system based on MAX30100 | |
| CN103479342B (en) | The wrist wearing devices of hurtless measure Real-Time Monitoring display health states | |
| Chacon et al. | A wearable pulse oximeter with wireless communication and motion artifact tailoring for continuous use | |
| CN106137161A (en) | A kind of heart rate and blood pressure measurement apparatus and method | |
| CN204468058U (en) | A kind of finger detection sensing device | |
| US20140187883A1 (en) | Systems and methods for ensemble averaging in pulse oximetry | |
| CN101224107A (en) | Method for measuring blood pressure and oxygen, and device thereof | |
| CN113509160A (en) | Continuous non-invasive blood pressure monitoring method and device | |
| CN107773223A (en) | A kind of online finger instrument for obtaining pulse wave and acquisition pulse wave peak shape parameter method | |
| Jincheng et al. | Design and implementation of wearable oxygen saturation monitoring system | |
| CN104510033A (en) | Glove for achieving blood oxygen and electro-cardio measurement and blood oxygen and electro-cardio measurement system and method | |
| CN209770350U (en) | Cardiovascular health assessment device | |
| WO2018006501A1 (en) | Integrated circuit structure for continuous detection of human blood pressure | |
| CN109394187A (en) | Wearable cardiovascular health based on monomer side signal detection monitors system | |
| CN117100239A (en) | Blood pressure detection system based on CNN+LSTM and PPG signals | |
| CN210095711U (en) | Noninvasive continuous blood pressure measuring equipment | |
| Hoseinzadeh et al. | Design and Implementation of a blood pressure device with high sampling frequency to analyze cardiovascular diseases in LabVIEW | |
| KR100877212B1 (en) | Apparatus for noninvasive, continuous, and simultaneous measurement of blood pressure and arterial stiffness |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |