CN109820498A - A kind of Wrist blood pressure meter that binding identity information and its pulse wave approximating method - Google Patents
A kind of Wrist blood pressure meter that binding identity information and its pulse wave approximating method Download PDFInfo
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- CN109820498A CN109820498A CN201910079413.6A CN201910079413A CN109820498A CN 109820498 A CN109820498 A CN 109820498A CN 201910079413 A CN201910079413 A CN 201910079413A CN 109820498 A CN109820498 A CN 109820498A
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Abstract
A kind of Wrist blood pressure meter and its pulse wave approximating method that can bind identity information, including core processing module, display module, near-field communication module, power module, current limliting module, prime signal processing module, prime analog module is claimed in the present invention；Pulse wave approximating method: to the difference of pulse wave peaks and troughs, that is pulse wave-amplitude is fitted, pulse wave fitting function adds a constant term using the Gaussian function phase adduction of two different parameters, with, for boundary, two function curve fittings are respectively adopted in the right and left at pulse wave-amplitude maximum amplitude.The utility model has the advantages that passing through fitting pulse wave-amplitude, overcome tradition fitting pulse peak value big disadvantage affected by noise, so that diastolic pressure seek it is more acurrate, utilize pulse asymmetry, carry out hyperbolic fit, curve matching goodness is more preferable, is easier to positioning systolic pressure and diastolic pressure position, meets the requirement for accurately measuring blood pressure in the stronger ambulatory environment of noise jamming.
Description
Technical field
The invention belongs to portable sign detection device technical fields, and specifically, identity information can be bound by being related to one kind
Wrist blood pressure meter and its pulse wave approximating method.
Background technique
In first aid, the blood pressure as basic vital sign can be used as the important judgment criteria of wounded's condition of the injury, in anesthesia
Judge whether to need additional analgesic according to blood pressure, if need deep anaesthesia etc.；If low blood pressure occur in the wounded, doctor can be reminded
The shield personnel wounded occur the possibility of shock.And in modern accident, need the wounded of first aid more, traditional Wrist blood pressure meter
Wounded's information can not be bound, can only be manually recorded by medical staff, aggravate medical staff's burden.
Whether blood pressure detecting equipment can bind with tester's information, be automatically performed note of the detection data in conjunction with binding people
Work is recorded, can be bound again after replacing tester, and save old information, there is definite meaning to medical staff's first aid efficiency.
Summary of the invention
Present invention seek to address that the above problem of the prior art.Propose a kind of Wrist blood pressure meter that can bind identity information
And its pulse wave approximating method, sphygmomanometer carry out the binding of tester's identity information using near-field communication technology, reduce medical staff
Working strength；It is fitted object and pulse wave wave crest is fitted by tradition, switch to be fitted the fitting of pulse wave-amplitude, fitting function uses two
The different Gaussian function of a parameter value is added and adds a constant term again, and it is boundary that matched curve is gone out with pulse wave amplitude maximum
Line, the left and right sides are respectively adopted two function curves and are fitted, and improve the blood pressure detecting accuracy in first aid scene.This hair
Bright technical solution is as follows:
A kind of Wrist blood pressure meter for binding identity information comprising core processing module (1), display module (2), near field
Communication module (3), power module (4), current limliting module (5), prime signal processing module (6), prime analog module (7)；
The prime signal processing module (6) is connected with the input terminal of core processing module (1), the display module
(2), near-field communication module (3), power module (4), prime analog module (7) connect the output of core processing module (1)
End；
Pulse wave fit procedure is realized in the action of each module of core processing module (1) dispatch deal, and will meter
Three obtained systolic pressure, diastolic pressure, mean pressure parameters carry out data frame and are packaged to obtain data packet, which is stored near field
In communication module (3), and it is sent to reception terminal；
The near-field communication module (3) is used to save the data packet of core processing module (1) packing, and reads with near-field communication
Device is taken to carry out data packet transmission, binding information write-in；
The power module (4) is core processing module (1), display module (2), near-field communication module (3), power module
(4), current limliting module (5), prime signal processing module (6) power supply；The current limliting module (5) is prime analog module (7)
Power supply；
The prime signal processing module (6) isolates pulse wave letter for acquiring cuff static pressure pulse wave mixed signal
Number, signal is sent into core processing module (1)；
It is pressurizeed by cuff to wrist when the prime analog module (7) mainly completes detection blood pressure.
Further, the prime signal processing module (6), including pressure sensor, signal amplifier module and filtering
Device module, pressure sensor is for acquiring cuff static pressure pulse wave mixed signal, and signal amplifier module is for amplifying pressure biography
The signal of sensor acquisition, collected signal are sent to filter module, and filter module isolates pulse wave signal and will letter
It number send to core processing module.
Further, the prime analog module (7) includes driving circuit, which adds wrist
Pressure, drive magnetic valve decompression.
Further, the data packet of the core processing module (1) is made of data head, data field, data tail；Wherein,
The data head includes the data field length of the start bit of 1 byte, the message numbering of 1 byte, 2 bytes, the starting
The content of position is 0xFF, and number of the content of the message numbering between 0-255, the message numbering of first data packet is random
Value, the message numbering of each data packet is that previous value adds one later, and the data field length is the actual number of data field
According to length；The data field accounts for 34 bytes, including 1 group binding identity information parameter, 10 groups of mean pressure parameters, 10 groups of systolic pressures
Parameter, 10 groups of diastolic pressure parameters, 10 groups of acquisition time parameters, every group binding identity information parameter account for 4 bytes, every group of mean pressure
Parameter accounts for 1 byte, and every group of systolic pressure parameter accounts for 1 byte；Every group of diastolic pressure parameter accounts for 1 byte；Every group of acquisition time ginseng
Number accounts for 1 byte；The data tail includes the check code of 1 byte and the stop bits of 1 byte, and the content of the stop bits is
0xFE。
Further, the binding identity information parameter of the data field, including binding 1 byte of people's name parameter, age
1 byte of parameter, 1 byte of native place, 1 byte of admission time.
Further, the blood pressure measurement mode of the Wrist blood pressure meter be designed as manually and two kinds of automatic measurement: manually
Measurement method is when needing to measure, to press the button, sphygmomanometer measures immediately；Automatic measurement mode is that setting is minimum and maximum
The automatic measurement time is detected every the maximum automatic measurement time later when detection blood pressure is normal, when detection blood pressure is normal,
It is detected later every the minimum automatic measurement time.
A kind of pulse wave approximating method based on the Wrist blood pressure meter comprising following steps:
Step 1, core processing module acquire prime signal processing module output cuff static pressure mixing pulse signal and
Pulse wave signal；
Step 2 filters out the pulse wave progress high-frequency noise of acquisition and baseline drift is corrected and filtered out；
Step 3, the signal completed to step 2 processing carry out positioning feature point, including wave crest and trough；
Step 4 obtains Wave crest and wave trough value to step 3 and subtracts each other, obtains pulse wave amplitude；
Step 5 positions at pulse wave amplitude maximum, records position A this moment, carries out Gaussian function respectively to the right and left
Number fitting；
Step 6 asks second order to lead two Gaussian curves being fitted in step 5, and gained corner position is recorded as B, C；
Step 7, cuff static pressure corresponding to record position A, B, C is mean pressure, diastolic pressure, systolic pressure.
Further, the step 2 filters out the pulse wave progress high-frequency noise of acquisition and baseline drift is corrected and filter
It removes, specifically includes:
A1, high-frequency noise is filtered out to be realized using FIR low pass filter, and filter design method is optimal method, filtering
Device cut-off frequecy of passband is 5Hz；
A2, baseline drift, which is corrected, realizes that fitting formula is as follows by fitting of a polynomial pulse wave with filtering out:It is fitting
The multinomial of baseline, n are polynomial independents variable, and m is the polynomial order being fitted；
nmPolynomial fitting highest order independent variable is represented, for determinationUndetermined coefficient aj, using least square
Principle makesWith discrete dataError sum of squares be minimum, cost function is as follows:
Meeting E has shown in the following formula of the condition of extreme value, and solving following formula can be obtained fitting parameter.
Further, the method for the step 3 positioning feature point is difference threshold algorithm, and difference threshold algorithm realization is will be pre-
Treated, and pulse wave signal front and back is subtracted each other, and meets sign-alternating number, and amplitude is greater than threshold value, and the characteristic point spacing that front and back is assert is greater than
Threshold value regards as wave crest or trough.
Further, the particular content in the step 5 are as follows:
The following formula of Gaussian function:
Wherein A1、A2Gaussian function amplitude, u1、u2For Gaussian function mean value, σ1、σ2For Gaussian function variance, a is additional normal
Number, utilizes least square method calculating parameter.
It advantages of the present invention and has the beneficial effect that:
1) by fitting pulse wave-amplitude, tradition fitting pulse peak value big disadvantage affected by noise is overcome, so that relaxing
Pressure is sought more acurrate, using pulse asymmetry, carries out the fitting of double gauss function curve, curve matching goodness is more preferable, is easier to
Systolic pressure and diastolic pressure position are positioned, the requirement for accurately measuring blood pressure in the stronger ambulatory environment of noise jamming is met.
2) function that can bind identity information can reduce work load of the medical staff in measurement, improve rescue efficiency.
Innovative point of the invention further include:
Identity information binds step:
Step 1, the near-field communication module receive the identity information data packet of user's write-in, and data packet is sent to core
The parsing of heart processing module.
Step 2, the core processing module parse data packet by data analysis protocol, if data packet receives correctly, then exist
Screen module display binding people's information, into next step；If data packet receives mistake, then shows and tie up in the screen module
Fixed failure, return step one.
Step 3, if device has bound other identity informations, screen module shows whether replace identity binding information, and shows
Show old identity binding information, as user cancels new binding, return step one；It such as determines binding, then completes identity information and tie up
It is fixed.
Data analysis protocol described in step 2, particular content include: the start bit 0xFE of 1 byte, 1 byte
The identity information of type of message 0X01,4 bytes, a byte check code, the data tail 0xFF of 1 byte.Parsing association
Discuss step are as follows:
S2.1, the core processing module judge whether start bit is equal to 0XFE, are, into next step, otherwise, abandon this
Data.
S2.2, the core processing module judge whether data tail is equal to 0XFF, are, into next step, otherwise, abandon this
Data.
S2.3, from start bit to identity information, last position carries out CRC check to the core processing module, and by check value
It is compared with received byte check code, it is such as equal, then success is received, this data is otherwise abandoned.
Detailed description of the invention
Fig. 1 is that the present invention provides the system framework figure of preferred embodiment sphygmomanometer；
Fig. 2 is pulse wave fitting flow chart.
Fig. 3 is identity information binding step.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, detailed
Carefully describe.Described embodiment is only a part of the embodiments of the present invention.
The technical solution that the present invention solves above-mentioned technical problem is:
Fig. 1 is the structural schematic diagram that can bind the Wrist blood pressure meter device of identity information, as shown, this system includes core
It is heart processing module 1, display module 2, near-field communication module 3, power module 4, current limliting module 5, prime signal processing module 6, preceding
Grade analog module 7；
Wherein, prime signal processing module 6, including pressure sensor module 61, signal amplifier module 62, filter mould
Block 63；Prime analog circuit 7, including drive module 71, air pump module 72, wrist strap module 73, solenoid valve module 74.
Modules function is as follows:
Core processing module 1, in the present embodiment using the acquisition of microprocessor STM32F103RCT6 spacing wave and place
Reason, is fitted pulse wave-amplitude using double gauss function curve and seeks blood pressure parameter.
Display module 2, using OLED screen curtain, for showing current hemomanometer binding people's information, current detection blood pressure
Information.
Near-field communication module 3, using RF430CL330H as near field communications chip, which supports ISO/IEC 14443
Agreement, belongs to Type4 type label, and control command format follows ISO7816-4 agreement, working band 13.56MHz.For
The data packet that core processing module 1 is packaged is saved, and is write with near-field communication reading device progress data packet transmission, binding information
Enter.
Power module 4, the power supply of entire sphygmomanometer are divided into two power supplys of 3V, 9V.Voltage stabilizing chip TPS63020 provides 3V electricity
Source to entire digital circuit and analog circuit by powering, which has up to 96% transfer efficiency, 1.8V~5.5V
Wide input voltage range under Boost mode, can provide the up to electric current of 2A, be suitable for the power supply of Wrist blood pressure meter one kind battery
Portable device.3V is converted to 9V by TPS61040 voltage stabilizing chip and provided by 9V power supply, and TPS61040 is low-power consumption
BoostDC/DC voltage stabilizing chip provides 400mA electric current, and main application is that screen is powered.
Current limliting module 5, current limiting switch chip is TPS2065 in the present embodiment, which is mainly used for air pump and electricity
The analog circuit current limliting of magnet valve prevents from influencing entire circuit work because of overcurrent.
Prime signal processing module 6, pressure sensor module 61 are quiet using pressure sensor MPS3117 acquisition cuff of heap of stone entirely
Pulse wave mixed signal is pressed, signal amplifier module 62 is using AD627 micro energy lose instrumentation amplifier to original mixed signal
Amplification, filter module 63 are designed as the bandpass filter of 0.5~6Hz of passband, isolate pulse wave from original mixed signal
Signal.
Prime analog module 7, drive module 71 use 8050 triodes, drive for promoting core processing module 1
Ability, prosperous DQB030-A3V, the DQF1-3A of moral space is respectively adopted in air pump module 72, solenoid valve module 74, for sphygmomanometer
Pressurization and decompression, wrist strap module 73 are used to pressurize to wrist.
A kind of pulse wave approximating method of Wrist blood pressure meter device that binding identity information, process are as shown in Figure 2:
Step 1 acquires cuff static pressure pulse wave mixed signal and pulse wave.
The pressurization and decompression to tester's wrist, the prime signal in decompression process are completed by prime analog module
Processing module acquires cuff static pressure pulse wave mixed signal and is sent into core processing module, and amplifies pulse wave mixed signal, amplifies
Multiple is subject to pulse and is not ended in output, this example is set as 79 times of amplification factors, common mode electrical level 1.2V, amplified signal benefit
It isolates pulse signal with bandpass filter to send to core processing module, core processing module is using 12 A/D in inside with 100Hz
Sample frequency acquires the cuff static pressure pulse wave mixed signal and pulse wave signal of prime signal processing module output.
Step 2 filters out the pulse wave progress high-frequency noise of acquisition and baseline drift is corrected and filtered out.
High-frequency noise is filtered out to be realized using FIR low pass filter, and it is optimal method that the present embodiment, which designs filtered method,
Filter passband cutoff frequency is 5Hz；Baseline drift amendment realizes that the present embodiment is used and is based on by fitting of a polynomial pulse wave
Three rank multinomial orders of least square method are fitted.
Step 3, the signal completed to step 2 processing carry out positioning feature point, including wave crest and trough.
The method of positioning feature point is difference threshold algorithm, and difference threshold algorithm realization is will be before pretreated pulse wave signal
After subtract each other, meet sign-alternating number, amplitude is greater than threshold value D, and the characteristic point spacing that front and back is assert is greater than threshold value E, that is, regards as wave crest
Or trough.Threshold value D is set as the f+10 sampled point of pulse wave in the present embodiment, and wherein f is sample frequency, and threshold value E sets root
The half lining of normal human's pulse time determines that the present embodiment is determined as 10.
Step 4 obtains Wave crest and wave trough value to step 3 and subtracts each other, obtains pulse wave amplitude.
Pulse amplitude meets the trend of being gradually increasing, for it is some due to there is big interference in measurement caused by pulse amplitude
Anomalous variation phenomenon, the average value that former and later two amplitudes can be used to the pulse wave-amplitude of anomalous variation replace, and reduce error.
Step 5 positions at pulse wave amplitude maximum, records position A this moment, carries out Gaussian function respectively to the right and left
Number fitting.
Step 6 asks second order to lead two Gaussian curves being fitted in step 5, and gained corner position is recorded as B, C.
Since there are noise jammings, greatest gradient method, the inflection point of exclusive PCR are used.
Step 7, cuff static pressure corresponding to record position A, B, C is mean pressure, diastolic pressure, systolic pressure.
The fitting of cuff static pressure is commonly used fitting of a polynomial and is realized, the present embodiment uses second order polynomial fit.
The above embodiment is interpreted as being merely to illustrate the present invention rather than limit the scope of the invention.?
After the content for having read record of the invention, technical staff can be made various changes or modifications the present invention, these equivalent changes
Change and modification equally falls into the scope of the claims in the present invention.
Claims (10)
1. the Wrist blood pressure meter that one kind can bind identity information, which is characterized in that including core processing module (1), display module
(2), near-field communication module (3), power module (4), current limliting module (5), prime signal processing module (6), prime analog circuit
Module (7)；
The prime signal processing module (6) is connected with the input terminal of core processing module (1), the display module (2), close
Field communication module (3), power module (4), prime analog module (7) connect the output end of core processing module (1)；
The action of each module of core processing module (1) dispatch deal is realized pulse wave fit procedure, and will be calculated
To systolic pressure, three diastolic pressure, mean pressure parameters carry out data frames and be packaged to obtain data packet, which is stored in near-field communication
In module (3), and it is sent to reception terminal；
The near-field communication module (3) is used to save the data packet of core processing module (1) packing, and reads and fill with near-field communication
It sets and carries out data packet transmission, binding information write-in；
The power module (4) be core processing module (1), display module (2), near-field communication module (3), power module (4),
Current limliting module (5), prime signal processing module (6) power supply；The current limliting module (5) is prime analog module (7) power supply；
The prime signal processing module (6) is used to acquire cuff static pressure pulse wave mixed signal, isolates pulse wave signal, will
Signal is sent into core processing module (1)；
It is pressurizeed by cuff to wrist when the prime analog module (7) mainly completes detection blood pressure.
2. the Wrist blood pressure meter that one kind according to claim 1 can bind identity information, which is characterized in that
The prime signal processing module (6), including pressure sensor, signal amplifier module and filter module, pressure pass
Sensor is used to amplify the letter of pressure sensor acquisition for acquiring cuff static pressure pulse wave mixed signal, signal amplifier module
Number, collected signal is sent to filter module, and filter module isolates pulse wave signal and send signal to core
Manage module.
3. the Wrist blood pressure meter that one kind according to claim 1 can bind identity information, which is characterized in that the prime mould
Quasi- circuit module (7) include driving circuit, which pressurizes to wrist, drive magnetic valve decompression.
4. the Wrist blood pressure meter that one kind according to claim 1 can bind identity information, which is characterized in that
The data packet of the core processing module (1) is made of data head, data field, data tail；Wherein, the data head includes
The data field length of the start bit of 1 byte, the message numbering of 1 byte, 2 bytes, the content of the start bit is 0xFF,
Number of the content of the message numbering between 0-255, the message numbering of first data packet are random value, later every number
Message numbering according to packet is that previous value adds one, and the data field length is the real data length of data field；The data
Area accounts for 34 bytes, including 1 group binding identity information parameter, 10 groups of mean pressure parameters, 10 groups of systolic pressure parameters, 10 groups of diastolic pressures
Parameter, 10 groups of acquisition time parameters, every group binding identity information parameter account for 4 bytes, and every group of mean pressure parameter accounts for 1 byte,
Every group of systolic pressure parameter accounts for 1 byte；Every group of diastolic pressure parameter accounts for 1 byte；Every group of acquisition time parameter accounts for 1 byte；Institute
Stating data tail includes the check code of 1 byte and the stop bits of 1 byte, and the content of the stop bits is 0xFE.
5. the Wrist blood pressure meter that one kind according to claim 4 can bind identity information, which is characterized in that
The binding identity information parameter of the data field, including binding 1 byte of people's name parameter, 1 byte of age parameter, nationality
Pass through 1 byte, 1 byte of admission time.
6. the Wrist blood pressure meter that one kind according to claim 1 can bind identity information, which is characterized in that the wrist blood
The blood pressure measurement mode of pressure meter is designed as manually and two kinds of automatic measurement: manual measurement mode be when needing to measure press by
Key, sphygmomanometer measure immediately；Automatic measurement mode is setting minimum and maximum automatic measurement time, when detection blood pressure is normal
When, it detects every the maximum automatic measurement time, when detection blood pressure is normal, is examined later every the minimum automatic measurement time later
It surveys.
7. a kind of pulse wave approximating method based on Wrist blood pressure meter described in one of claim 1-6, which is characterized in that including with
Lower step:
Step 1, core processing module acquire the cuff static pressure mixing pulse signal and pulse of prime signal processing module output
Wave signal；
Step 2 filters out the pulse wave progress high-frequency noise of acquisition and baseline drift is corrected and filtered out；
Step 3, the signal completed to step 2 processing carry out positioning feature point, including wave crest and trough；
Step 4 obtains Wave crest and wave trough value to step 3 and subtracts each other, obtains pulse wave amplitude；
Step 5 positions at pulse wave amplitude maximum, records position A this moment, and it is quasi- to carry out Gaussian function respectively to the right and left
It closes；
Step 6 asks second order to lead two Gaussian curves being fitted in step 5, and gained corner position is recorded as B, C；
Step 7, cuff static pressure corresponding to record position A, B, C is mean pressure, diastolic pressure, systolic pressure.
8. the pulse wave approximating method of Wrist blood pressure meter according to claim 7, which is characterized in that the step 2 is to adopting
The pulse wave progress high-frequency noise of collection filters out and baseline drift is corrected and filtered out, and specifically includes:
A1, high-frequency noise is filtered out to be realized using FIR low pass filter, and filter design method is optimal method, and filter is logical
Band cutoff frequency is 5Hz；
A2, baseline drift, which is corrected, realizes that fitting formula is as follows by fitting of a polynomial pulse wave with filtering out:It is fitting baseline
Multinomial, n is polynomial independent variable, and m is the polynomial order being fitted；
nmPolynomial fitting highest order independent variable is represented, for determinationUndetermined coefficient aj, using the principle of least square,
MakeWith discrete dataError sum of squares be minimum, cost function is as follows:
Meeting E has shown in the following formula of the condition of extreme value, and solving following formula can be obtained fitting parameter.
9. the pulse wave approximating method of Wrist blood pressure meter according to claim 7, which is characterized in that the step 3 feature
The method of point location is difference threshold algorithm, and difference threshold algorithm realization is met subtracting each other before and after pretreated pulse wave signal
Sign-alternating number, amplitude are greater than threshold value, and the characteristic point spacing that front and back is assert is greater than threshold value, that is, regards as wave crest or trough.
10. the pulse wave approximating method of Wrist blood pressure meter according to claim 7, which is characterized in that in the step 5
Particular content are as follows:
The following formula of Gaussian function:
Wherein A1、A2Gaussian function amplitude, u1、u2For Gaussian function mean value, σ1、σ2For Gaussian function variance, a is additional constant,
Utilize least square method calculating parameter.
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| CN112932410A (en) * | 2020-10-23 | 2021-06-11 | 深圳忆恩医疗科技有限公司 | Physiological envelope signal amplitude calculation method based on Chebyshev polynomial fitting |
| CN113208569A (en) * | 2020-01-21 | 2021-08-06 | 复旦大学 | Pulse wave curve fitting method based on group algorithm |
| CN114259206A (en) * | 2021-12-02 | 2022-04-01 | 萤雪科技(佛山)有限公司 | Pulse wave fitting method, system, computer equipment and readable storage medium |
| CN115363606A (en) * | 2022-08-26 | 2022-11-22 | 左点实业（湖北）有限公司 | Pelvic floor muscle and abdominal muscle coordination analysis method, device and equipment |
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