CN203789912U - Pulse wave signal analyzing device - Google Patents
Pulse wave signal analyzing device Download PDFInfo
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- CN203789912U CN203789912U CN201320697474.7U CN201320697474U CN203789912U CN 203789912 U CN203789912 U CN 203789912U CN 201320697474 U CN201320697474 U CN 201320697474U CN 203789912 U CN203789912 U CN 203789912U
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- 238000005457 optimization Methods 0.000 claims description 9
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Abstract
The utility model relates to a pulse wave signal analyzing device which is simple and capable of being used in a family. The pulse wave signal analyzing device comprises a pulse wave signal optimizing unit, an acceleration sensor, a microprocessor and an output unit. The pulse wave signal optimizing unit is used for optimizing a pulse wave signal. The pulse wave signal is received by the pulse wave signal optimizing unit and the improved pulse wave signal is output by the pulse wave signal optimizing unit. The acceleration sensor is used for detecting and reflecting the accompany state when the pulse wave signal is acquired and an acceleration signal is output by the acceleration sensor. The microprocessor is used for analyzing pulse wave data and connected with the pulse wave signal optimizing unit and the acceleration sensor. The output unit is used for outputting an analysis result of the pulse wave data and connected with the microprocessor.
Description
Technical field
This utility model relates to signal processing apparatus, relates in particular to a kind of pulse wave signal analytical equipment.
Background technology
In stepping into the crowd of high standard of living, the important diseases that cardiovascular disease mortality rate holds pride of place.World Health Organization (WHO) has been classified as the No.1 killer of 2l century harm humans health.The same with most of diseases, early stage detection finds there is obvious help for disease treatment.
The cardiovascular function High altitude method of generally using at present has ultrasoundcardiogram, electrocardio machine drawing, impedance cardiogram and impedance differential ripple figure etc.But these equipment are all expensive special medical instruments, detection technique is complicated, need to have special environmental condition.These equipment all can only provide the quantitative target of parameter in addition, also must make concrete judgement by specialist.These deficiencies have limited these equipment being widely used domestic consumer.
Due to detect without wound, simple to operate, stable performance, the advantage such as cost is low, its practicality has been verified in clinical treatment instrument, pulse wave technology becomes the cheap monitoring technology of the domestic consumers such as subhealth state patient in applicable individual patient, person in middle and old age and even young colony.
Therefore, wish a kind of easily, do not rely on the pulse wave signal analytical equipment of artificial analysis, for domestic consumer.
Utility model content
Technical problem to be solved in the utility model is to provide a kind of easy pulse wave signal analytical equipment, can carry out pulse wave signal analysis to obtain the characteristic quantity relevant with cardiovascular indicators in the executable mode of processor.
The technical scheme that this utility model adopts is to propose a kind of pulse wave signal analytical equipment, comprise: for pulse wave signal being optimized to the pulse wave signal of processing, optimize unit, this pulse wave signal is optimized unit and is received pulse wave signal, and the pulse wave signal of output improvement; The acceleration transducer of following state when collected for detection of this pulse wave signal of reflection, this acceleration transducer output acceleration signal; For carrying out the microprocessor of pulse wave data analysis, connect this pulse wave signal and optimize unit and this acceleration transducer; And for exporting the output unit of pulse wave data results, connect this microprocessor.
In an embodiment of the present utility model, this pulse wave signal is optimized unit and is attached in wearable device with this acceleration transducer together with, and this microprocessor is wireless connections with this pulse wave optimization unit with this acceleration transducer.
In an embodiment of the present utility model, this pulse wave signal is optimized unit, this acceleration transducer is attached in electronic equipment together with this microprocessor, and this output unit is wireless transport module.
In an embodiment of the present utility model, this pulse wave signal is optimized unit and is comprised pre-amplification circuit, baseline correction circuit, wave filter, wave trap and the shaping circuit connecting successively.
In an embodiment of the present utility model, this microprocessor comprises: for the pulse wave signal to through optimization process, carry out analog-to-digital analog to digital conversion circuit; For identifying the signal recognition circuit of following state of pulse wave signal when collected, this signal recognition circuit connects this analog to digital conversion circuit; Fourier-transform circuitry, connects this analog to digital conversion circuit and this signal recognition circuit; And data analysis circuit, connect this Fourier-transform circuitry and this signal recognition circuit.
In an embodiment of the present utility model, this microprocessor also comprises signal amplification circuit, is connected between this analog to digital conversion circuit and this signal recognition circuit.
In an embodiment of the present utility model, this microprocessor also comprises data storing circuit, connects this data analysis circuit.
In an embodiment of the present utility model, the model of this microprocessor is CC2530.
This utility model, owing to adopting above technical scheme, can obtain the characteristic quantity relevant with cardiovascular indicators in the executable mode of processor.This utility model can be applied in cheapness, operate in easy electronic equipment, is applicable to non-medical skill personnel for family healthcare monitoring.
Accompanying drawing explanation
For above-mentioned purpose of the present utility model, feature and advantage can be become apparent, below in conjunction with accompanying drawing, the specific embodiment of the present utility model is elaborated, wherein:
Fig. 1 illustrates the example structure of pulse wave analysis device of the present utility model.
Fig. 2 illustrates the example composition that pulse wave signal shown in Fig. 1 is optimized unit.
The example that Fig. 3 illustrates microprocessor shown in Fig. 1 forms.
Fig. 4 illustrates the workflow diagram of the pulse wave analysis device shown in Fig. 1.
Fig. 5 illustrates typical pulse wave.
Fig. 6 illustrates the extraction schematic diagram of pulse waveform characteristic quantity K value.
The specific embodiment
Fig. 1 illustrates for implementing the example structure of pulse wave analysis device of the present utility model.Shown in Fig. 1, analytical equipment 100 can comprise pulse wave signal optimization unit 110, acceleration transducer 120, microprocessor 130 and output unit 140.Pulse wave signal is optimized the input of unit 110 can introduce pulse wave signal.For example, pulse wave signal optimization unit 110 can be connected to a pulse wave sensor to obtain pulse wave signal.Pulse wave signal is optimized the first input end IN1 of the outfan connection microprocessor 130 of unit 110.Acceleration transducer 120 connects the second input IN2 of microprocessor 130.Microprocessor 130 has three outfans, and the first outfan OUT1 connects pulse wave signal and optimizes unit 110, the second outfan OUT2 connection acceleration transducer 120, the three outfans connection output units 140.
Pulse wave signal is optimized unit 110 for realizing the optimization process to pulse wave signal.Through the pulse wave signal of optimizing, there is better quality, contribute to improve the accuracy of subsequent analysis.The exemplary circuit of pulse wave signal optimization unit 110 as shown in Figure 2, comprises the pre-amplification circuit 201, baseline correction circuit 202, wave filter 203, wave trap 204 and the shaping circuit 205 that connect successively.These circuit respectively to signal amplify, filtering, denoising, shaping, to obtain the signal that quality is higher.Wherein, baseline correction circuit 202 is mainly used in eliminating the baseline drift causing due to muscle twitches, human body is nervous, breathing is trembled etc.Baseline correction circuit 202 can comprise voltage follower and in-phase adder.
Acceleration transducer 120 is followed state for identifying pulse wave signal when collected.The typical employing three dimension acceleration sensor of acceleration transducer 120, the movement with measuring object in three directions.The model of acceleration transducer can be ADXL345.
Microprocessor 130 is core components of device 100, and it can be controlled pulse wave signal and optimize unit 110, acceleration transducer 120, and the pulse wave signal of analysis through optimizing is to obtain required feature.
In embodiment of the present utility model, microprocessor 130 can adopt on-chip system chip, or adopts the independently combination of microprocessor chip and peripheral circuit.
The example that Fig. 3 illustrates microprocessor shown in Fig. 1 forms.Shown in Fig. 3, microprocessor 130 has input IN1, IN2, outfan OUT1, OUT2 and OUT3.IN1 is pulse wave signal input, and IN2 is acceleration signal input.OUT1 and OUT2 are respectively the optimal control outfan for pulse signal and acceleration signal.OUT3 is data output end.
Microprocessor 130 can comprise analog to digital conversion circuit 301, signal amplification circuit 302, Fourier-transform circuitry 303, signal recognition circuit 304, data analysis circuit 305, data storing circuit 306 and optimal control circuit 307.The input of analog to digital conversion circuit 301 connects pulse wave signal input IN1, in order to pulse wave signal is carried out to the conversion of analog to digital form.Signal amplification circuit 302 connects analog to digital conversion circuit 301 and signal recognition circuit 304.Signal amplification circuit 302 can amplify the pulse wave signal of digital form, and offers signal recognition circuit 304.The input of signal recognition circuit 304 connects acceleration signal input IN2
Fourier-transform circuitry 303 connects analog to digital conversion circuit 301, pulse wave signal can be transformed from the time domain to frequency domain.Preferably, the conversion that Fourier-transform circuitry 303 is carried out is real time fourier processing (hereinafter to be referred as RFT).
Signal recognition circuit 304, provides the kinestate about carrier for the data analysis circuit 305 to rear class.
Data analysis circuit 305 connects Fourier-transform circuitry 303 and signal recognition circuit 304, can with reference to the signal of the two, carry out the data analysis of pulse wave, obtains the characteristic quantity of required reflection cardiovascular physiology index.The intermediate data that data analysis circuit 305 produces and final data can be stored in data storage circuitry 306.Data analysis circuit 305 connection data outfan OUT3, to provide pulse wave signal and analysis result to outside.
Data analysis circuit 305 also connects optimal control circuit 307.Optimal control circuit 307 connects optimal control outfan OUT1 and the OUT2 of pulse signal and acceleration signal.
In one embodiment, pulse wave analysis device shown in Fig. 1 is as an integral module, embed in the electronic equipments such as wearable device (as wrist strap, wrist-watch), mobile phone, panel computer, notebook computer, appliance for personal care, pulse wave analysis function is provided.When embedded product is the such small sized product of wrist strap, wrist-watch, the output unit 140 of pulse wave analysis device is for being configured to wireless transport module, to export based on short-range communication protocols such as WIFI, 2.4G ZigBee, bluetooths the data of being analyzed.When embedded product is the such product of panel computer, notebook computer, output unit 140 can be the interface of panel computer, notebook computer to access pulse wave analysis device.
In another embodiment, the pulse wave analysis device shown in Fig. 1 can be split as two parts on entity.First is the combination that pulse wave signal is optimized unit 110 and acceleration transducer 120.Second portion is microprocessor 130 and output unit 140.Pulse wave signal is optimized unit 110 and acceleration transducer 120 can embed in wearable device.For example, pulse wave signal is optimized unit 110 and acceleration transducer 120 can be installed with pulse transducer integral type.And the annexation that pulse wave signal is optimized between unit 110 and acceleration transducer 120 and microprocessor 130 is wireless connections.
When reality is implemented, the example model of microprocessor 130 is CC2530.CC2530 is a kind of on-chip system chip, the module one such as collection analog-digital converter, operational amplifier, microprocessor, memorizer, radio frequency transmission.
Fig. 4 illustrates the workflow diagram of the pulse wave analysis device shown in Fig. 1.Shown in Fig. 4, first in step 401, pulse wave signal is optimized unit 110 can obtain pulse wave signal from the pulse wave sensor being attached thereto.In step 402, pulse wave signal is optimized 110 pairs of unit pulse wave signal and is optimized processing.Such as pulse wave signal, optimize the amplification of carrying out signal in unit 110, filtering, denoising, shaping etc., with the signal being improved.For portable set, the action of carrier may impact the gatherer process of pulse wave, and the state of following when collected by detection pulse wave signal can alleviate or eliminate this impact.Step 403, the pulse wave signal of 301 pairs of processes of the analog to digital conversion circuit optimization process in microprocessor 130 carries out analog digital conversion, obtains the pulse wave signal of digital form.In step 404, acceleration transducer 120 can gather the acceleration signal of identification pulse wave signal when collected, and offers the signal recognition circuit 304 in microprocessor 130.Signal recognition circuit 304 can obtain pulse wave signal from signal amplification circuit 302, and to identify each pulse wave signal position user be dynamic or static.If user is static, can directly the pulse wave signal of obtaining be carried out to pulse wave analysis, flow process directly enters step 406.On the contrary, if user is dynamic, pulse wave signal can be submerged in interfering signal, need in interfering signal, extract correct pulse wave signal.
Can use Fourier transformation to carry out the conversion of time/frequency-region signal and realize the extraction of pulse wave signal.In step 405, the 303 pairs of pulse wave signals of Fourier-transform circuitry in microprocessor 130 carry out Fourier transformation, and signal is transformed from the time domain to frequency domain.
In step 406, in the data analysis circuit 305 of microprocessor 130, carry out pulse wave data analysis.
Pulse wave data analysis can obtain by method of characteristic point and area graph method.
Method of characteristic point will be identified the characteristic point of pulse wave.The characteristic point of pulse wave is exactly in fact pulse wave pressure curve
flex point.Characteristic point is that cardiac cycle changes the transition point of another mechanical process into from a mechanical process, thereby these flex points have clear and definite physiological significance.Fig. 5 illustrates typical pulse wave.As shown in Fig. 5 typical case pulse waveform, its A, B, C, tetra-characteristic points of D have reflected the different physiology of human body and pathological change in the height fluctuations of arteries and veins figure.
Area graph method is to take the extracting method of pulse wave area change as pulse waveform characteristic quantity K value.Fig. 6 illustrates the extraction schematic diagram of pulse waveform characteristic quantity K value.Shown in Fig. 6, aforesaid
with straight line, be labeled in the waveform that is spaced apart T of pulse wave signal P (t).According to following formula:
Can obtain characteristic quantity K value.P wherein
gfor the maximum of pulse wave signal P (t) in interval T, P
dfor the minima of pulse wave signal P (t) in interval T.
Cardiovascular physiology and pathological change will cause the respective change of arteries and veins figure waveform and area, and it can be reflected in the variation of K value, not only regular, and quite responsive, are important physical signs of cardiovascular clinical examination.
Because method of characteristic point physiological significance is clear and definite, the pulse wave data analysis of the present embodiment is by each characteristic point of identification pulse wave, extract features relevant amount, differentiate the variation tendency of characteristic quantity, can utilize area graph method to supplement simultaneously and revise the analysis to the shape of pulse wave, area, intensity, R&R variation.
Result based on above-mentioned analysis, when finding the variation abnormality of pulse wave, according to its corresponding pathological characters development trend seriousness, can produce early warning signal.
Therefore the pulse wave analysis method and apparatus of this utility model embodiment, makes the detection operation based on pulse wave very simple and relatively inexpensive, is more suitable for non-medical skill personnel and guards for family healthcare.
Although this utility model is described with reference to current specific embodiment, but those of ordinary skill in the art will be appreciated that, above embodiment is only for this utility model is described, in the situation that not departing from this utility model spirit, also can make variation or the replacement of various equivalences, therefore, as long as the variation of above-described embodiment, modification all will be dropped in the application's the scope of claims within the scope of connotation of the present utility model.
Claims (8)
1. a pulse wave signal analytical equipment, is characterized in that comprising:
For pulse wave signal being optimized to the pulse wave signal of processing, optimize unit, this pulse wave signal is optimized unit and is received pulse wave signal, and exports the pulse wave signal improving;
The acceleration transducer of following state when collected for detection of this pulse wave signal of reflection, this acceleration transducer output acceleration signal;
For carrying out the microprocessor of pulse wave data analysis, connect this pulse wave signal and optimize unit and this acceleration transducer; And
For exporting the output unit of pulse wave data results, connect this microprocessor.
2. pulse wave signal analytical equipment as claimed in claim 1, it is characterized in that, this pulse wave signal is optimized unit and is attached in wearable device with this acceleration transducer together with, and this microprocessor is wireless connections with this pulse wave optimization unit with this acceleration transducer.
3. pulse wave signal analytical equipment as claimed in claim 1, is characterized in that, this pulse wave signal is optimized unit, this acceleration transducer is attached in electronic equipment together with this microprocessor, and this output unit is wireless transport module.
4. pulse wave signal analytical equipment as claimed in claim 1, is characterized in that, this pulse wave signal is optimized unit and comprised pre-amplification circuit, baseline correction circuit, wave filter, wave trap and the shaping circuit connecting successively.
5. pulse wave signal analytical equipment as claimed in claim 1, is characterized in that, this microprocessor comprises:
For the pulse wave signal to through optimization process, carry out analog-to-digital analog to digital conversion circuit;
For identifying the signal recognition circuit of following state of pulse wave signal when collected, this signal recognition circuit connects this analog to digital conversion circuit;
Fourier-transform circuitry, connects this analog to digital conversion circuit and this signal recognition circuit; And
Data analysis circuit, connects this Fourier-transform circuitry and this signal recognition circuit.
6. pulse wave signal analytical equipment as claimed in claim 5, is characterized in that, this microprocessor also comprises:
Signal amplification circuit, is connected between this analog to digital conversion circuit and this signal recognition circuit.
7. pulse wave signal analytical equipment as claimed in claim 5, is characterized in that, this microprocessor also comprises:
Data storing circuit, connects this data analysis circuit.
8. pulse wave signal analytical equipment as claimed in claim 1, is characterized in that, the model of this microprocessor is CC2530.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201320697474.7U CN203789912U (en) | 2013-11-06 | 2013-11-06 | Pulse wave signal analyzing device |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201320697474.7U CN203789912U (en) | 2013-11-06 | 2013-11-06 | Pulse wave signal analyzing device |
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| Publication Number | Publication Date |
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| CN203789912U true CN203789912U (en) | 2014-08-27 |
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201320697474.7U Expired - Fee Related CN203789912U (en) | 2013-11-06 | 2013-11-06 | Pulse wave signal analyzing device |
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| CN (1) | CN203789912U (en) |
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- 2013-11-06 CN CN201320697474.7U patent/CN203789912U/en not_active Expired - Fee Related
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| Date | Code | Title | Description |
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| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20171204 Address after: 200001 room C, No. 668, Beijing East Road, Shanghai, Shanghai Patentee after: SHANGHAI MAIGAN TECHNOLOGY CO.,LTD. Address before: Room 202, No. 1850, Huaihai Middle Road, Shanghai, Shanghai, Xuhui District, Shanghai Patentee before: Lu Hongsheng |
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| TR01 | Transfer of patent right | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20140827 |
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| CF01 | Termination of patent right due to non-payment of annual fee |