CN205814348U - Cardiac valve cardiechema signals mechanical vibration intelligent analysis system - Google Patents
Cardiac valve cardiechema signals mechanical vibration intelligent analysis system Download PDFInfo
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- CN205814348U CN205814348U CN201620526967.8U CN201620526967U CN205814348U CN 205814348 U CN205814348 U CN 205814348U CN 201620526967 U CN201620526967 U CN 201620526967U CN 205814348 U CN205814348 U CN 205814348U
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Abstract
The utility model discloses a kind of cardiac valve cardiechema signals mechanical vibration intelligent analysis system based on FPGA, described analysis system includes signal pickup assembly, A/D converter, FPGA master controller and display, described FPGA master controller includes general purpose I/O Interface, HHT analyzes module, sdram controller, FLASH controller, LED drive circuit and Avalon bus, and native system also includes GMM characteristic extracting module, for identifying valvular fault type and calculating the probability that fault occurs, this system integrated chip volume is little, lightweight, it is easily installed on portable analysis of PCG Signal instrument use, and method of the present utility model is easy to the early stage Nondestructive of valvular heart disease, for clinical practice, there is bigger guiding value.
Description
Technical field
This utility model relates to medical analysis technical field, is specifically related to a kind of cardiac valve cardiechema signals mechanical vibration intelligence
System can be analyzed.
Background technology
Heart sound is that the diastole contraction due to valvular switch, tendon and muscle, the impact of blood flow and painstaking effort tube wall shake
A kind of compound tone moved and produce, is the most basic parameter of clinical assessment Ventricular function state.In recent years, along with town and country
Deepening continuously and the fast development of science and technology of Health insurance reform, with computer technology, the information processing technology and artificial intelligence's phase
In conjunction with modern medical service diagnostic techniques arise at the historic moment, cardiac auscultation is as a kind of economic quick, the noninvasive cardiac inspection of safety
Method, has important researching value.
The assessment of valve and cardiac function is mainly by ultrasoundcardiogram at present, but there are three problems: 1. pair cardiac valve calcium
Change degree obscures；2. the diagnosis pair mechanical valve prosthesis mistake function is extremely difficult；3. the cardiac function accurate evaluation of pair patients with coronary artery disease is stranded
Difficult.Therefore for the solution of the problems referred to above, currently without good means, and patient can long-term surviving can depend in early days
Accurately find and treat.The mechanical vibration change of cardiechema signals may be the solution of the problems referred to above.
Cardiechema signals mechanical vibration are one of most important physiological signals of human body, and the mechanical vibration detection of cardiechema signals is
Solve cardiac valve and a kind of important means of heart function state, there is the irreplaceable clinical value of cardioelectric monitor.Such as: the heart
After dirty valvular calcification, valve closes the trend of the dominant frequency oriented high frequency direction change of sound, and therefore, available valve closes the frequency of sound
Spectrum detects valvular degree of degeneration, thus determines the strategy etc. for the treatment of.
In view of mechanical vibration cardiechema signals unique effect in heart disease diagnosis and treatment, if the heart to heart disease patient
Sound carries out systematic collection analysis, research cardiac valve mechanical vibration heart sound feature and valvular function exception and various complication, the heart
Contact between function, will have important to the early diagnosis of the function of heart valve, the accurate evaluation of cardiac function and complication
Clinical meaning, existing analytical tool volume is relatively big, and relatively costly, the information analysis system used is complex.
Utility model content
The purpose of this utility model is to provide a kind of cardiac valve cardiechema signals mechanical vibration intelligent analysis system, in order to
Analyze, present in solution prior art, the problem that system is complex.
For achieving the above object, the following technical scheme of this utility model offer:
Cardiac valve cardiechema signals machinery vibration analysis system based on FPGA (field programmable gate array), such as Fig. 1 institute
Showing, described analysis system includes signal pickup assembly, A/D converter, FPGA master controller and display screen, described FPGA main control
It is total that device includes that general purpose I/O Interface, HHT analyze module, sdram controller, FLASH controller, LED drive circuit and Avalon
Line；The outfan of described signal pickup assembly is connected to the input of A/D converter, the outfan of described A/D converter with
The I/O interface of FPGA master controller connects, and described general purpose I/O Interface, HHT analyze module, sdram controller, FLASH controller
Outfan be all connected with Avalon bus, described Avalon bus is connected with display screen by LED drive circuit.
Preferably, described signal pickup assembly is heart sound transducer or stethoscope, described heart sound transducer or stethoscope bag
Including bluetooth module A and pretreatment module, described bluetooth module A for carrying out wireless collection to cardiechema signals, and described heart sound senses
Device also includes except making an uproar module, the noise produced during removing ambition Systematic Communication.
Wherein, described HHT analysis module includes cardiechema signals time-domain analysis module, cardiechema signals frequency-domain analysis module, the heart
Tone signal energy spectrometer module, described cardiechema signals time-domain analysis module is for the average of cardiechema signals, variance, mean square deviation,
Big value, the analytical calculation of minima；Described cardiechema signals frequency-domain analysis module is for the FFT of cardiechema signals, frequency spectrum, power spectrum
Analytical calculation, described cardiechema signals energy spectrometer module is for being analyzed the energy domain of cardiechema signals.
Further, described FPGA master controller also includes GMM characteristic extracting module, is used for identifying valvular fault
The probability that type and calculating fault occur, described GMM characteristic extracting module analyzes module and Avalon bus with described HHT respectively
Connect.
Further, described analysis system also includes network data base or smart mobile phone, and described FPGA master controller is also
Including wireless module, described GMM characteristic extracting module is also connected with wireless module, the letter that GMM characteristic extracting module extracts
Cease and be transferred to network data base by wireless module and carry out preserving or smart mobile phone is inquired about.
Or, described analysis system also includes exterior display device；Described FPGA master controller also includes bluetooth module B,
Described exterior display device has bluetooth module C equally, and described GMM characteristic extracting module passes through bluetooth module B and display device
Bluetooth module C connect.
Preferably, described FPGA master controller also includes cardiechema signals memory module, described cardiechema signals memory module with
Described GMM characteristic extracting module connects, for the information processed through GMM characteristic extracting module being preserved.
The invention also discloses a kind of cardiac valve cardiechema signals machinery vibration analysis method based on FPGA, described
Analysis method utilizes aforesaid analysis system to be analyzed, and specifically includes following steps:
(1) first signal pickup assembly gathers the analogue signal of cardiechema signals, to heart sound after pretreatment module processes
After signal is amplified, then after the noise produced during removing ambition Systematic Communication except module of making an uproar, then turn through A/D
Analogue signal is converted into digital signal by parallel operation；
(2) digital data transmission through converting is analyzed module to HHT and is processed, by the average of cardiechema signals,
Variance, mean square deviation, maximum, minima, the amount territory of the FFT of cardiechema signals, spectrum analysis, power spectrum and cardiechema signals is carried out
Computational analysis, identifies valvular fault type by result of calculation through GMM characteristic extracting module and calculates fault appearance
Probabilistic information；
(3) the valvular fault type then GMM characteristic extracting module identified and the fault calculated go out
Existing probabilistic information is shown by display screen after connecting LED drive circuit by Avalon bus.
Preferably, in above-mentioned cardiac valve cardiechema signals machinery vibration analysis method based on FPGA, the fault of step (3)
The probabilistic information that type and calculating fault occur can also be sent to have the outside of bluetooth module by bluetooth module and show dress
Put and show.
This utility model method has the advantage that
The analysis system that this utility model is used uses the system of FPGA plate, and this system integrated chip volume is little, weight
Amount is light, it is simple to be arranged on portable analysis of PCG Signal instrument use；And the system used have HHT analyze module and
GMM characteristic extracting module, by the average of cardiechema signals, variance, mean square deviation, maximum, minima, the FFT of cardiechema signals,
The amount territory of frequency spectrum, power spectrum and cardiechema signals carries out computational analysis, result of calculation is identified through GMM characteristic extracting module
The probabilistic information that valvular fault type and calculating fault occur, the early stage that this method is easy to valvular heart disease is lossless
Diagnosis, has bigger guiding value for clinical practice.
Further, this utility model also add wireless module and/or bluetooth module, more added with being easy to the quick of diagnostic message
Transmit and check and the preservation of information.
Accompanying drawing explanation
Fig. 1 is this utility model cardiac valve based on FPGA cardiechema signals machinery vibration analysis system block diagram；
Fig. 2 is the structured flowchart that this utility model HHT analyzes module；
Fig. 3 is this utility model cardiac valve based on FPGA cardiechema signals machinery vibration analysis method flow diagram.
Detailed description of the invention
It is more fully described specific embodiment of the utility model below with reference to accompanying drawings.Although accompanying drawing shows this reality
With novel specific embodiment, it being understood, however, that may be realized in various forms this utility model and should not illustrated here
Embodiment limited.On the contrary, it is provided that these embodiments are able to be best understood from this utility model, and can be by
What scope of the present utility model was complete conveys to those skilled in the art.
" comprising " or " including " as mentioned by the middle of description and claim in the whole text is an open language, therefore should
It is construed to " comprise but be not limited to ".Description subsequent descriptions for implementing better embodiment of the present utility model, so described in retouch
Stating is for the purpose of the rule of description, is not limited to scope of the present utility model.Protection model of the present utility model
Enclose when being as the criterion depending on the defined person of claims.
Embodiment 1
A kind of cardiac valve cardiechema signals machinery vibration analysis system based on FPGA, described analysis system includes that signal is adopted
Acquisition means, A/D converter, FPGA master controller and display screen, described FPGA master controller includes that general purpose I/O Interface, HHT analyze
Module, sdram controller, FLASH controller, LED drive circuit and Avalon bus；The outfan of described signal pickup assembly
Being connected to the input of A/D converter, the outfan of described A/D converter is connected with the I/O interface of FPGA master controller, described
General purpose I/O Interface, HHT analysis module, sdram controller, the outfan of FLASH controller are all connected with Avalon bus, institute
State Avalon bus to be connected with display screen by LED drive circuit.
Preferably, described signal pickup assembly is heart sound transducer or stethoscope, described heart sound transducer or stethoscope bag
Including bluetooth module A and pretreatment module, described bluetooth module A for carrying out wireless collection to cardiechema signals, and described heart sound senses
Device also includes except making an uproar module, the noise produced during removing ambition Systematic Communication.
Wherein, as in figure 2 it is shown, described HHT analyzes module includes that cardiechema signals time-domain analysis module, cardiechema signals frequency domain divide
Analysis module, cardiechema signals energy spectrometer module, described cardiechema signals time-domain analysis module for the average of cardiechema signals, variance,
Mean square deviation, maximum, the calculating of minima；For the FFT of cardiechema signals, (Fourier becomes described cardiechema signals frequency-domain analysis module
Change), frequency spectrum, the analysis of power spectrum and calculating, described cardiechema signals energy spectrometer module is for entering the energy domain of cardiechema signals
Row is analyzed.
Further, described FPGA master controller also includes GMM characteristic extracting module, is used for identifying valvular fault
The probability that type and calculating fault occur, described GMM characteristic extracting module is analyzed module with described HHT and is connected.
Further, described analysis system also includes network data base or smart mobile phone, and described FPGA master controller is also
Including wireless module, described GMM characteristic extracting module is also connected with wireless module, the letter that GMM characteristic extracting module extracts
Cease and be transferred to network data base by wireless module and carry out preserving or smart mobile phone is inquired about.
Or, described analysis system also includes exterior display device；Described FPGA master controller also includes bluetooth module B,
Described exterior display device has bluetooth module C equally, and described GMM characteristic extracting module passes through bluetooth module B and display device
Bluetooth module C connect.
Preferably, described FPGA master controller also includes cardiechema signals memory module, described cardiechema signals memory module with
Described GMM characteristic extracting module connects, for the information processed through GMM characteristic extracting module being preserved.
Embodiment 2
A kind of cardiac valve cardiechema signals machinery vibration analysis method based on FPGA, described analysis method specifically include as
Lower step:
(1) first signal pickup assembly (heart sound transducer or stethoscope) gathers the analogue signal of cardiechema signals, through pre-
After cardiechema signals is amplified after processing by processing module, then produce during removing ambition Systematic Communication except module of making an uproar
After noise, then through A/D converter, analogue signal is converted into digital signal；
(2) digital data transmission through converting is analyzed module to HHT and is processed, by the average of cardiechema signals,
The amount territory of variance, mean square deviation, maximum, minima, the FFT of cardiechema signals, frequency spectrum, power spectrum and cardiechema signals calculates
Analyze, result of calculation is identified valvular fault type through GMM characteristic extracting module and calculates the general of fault appearance
Rate information；
(3) the valvular fault type then GMM characteristic extracting module identified and the fault calculated go out
Existing probabilistic information is shown by display screen after connecting LED drive circuit by Avalon bus.
Preferably, in above-mentioned cardiac valve cardiechema signals machinery vibration analysis method based on FPGA, the fault of step (3)
The probabilistic information that type and calculating fault occur can also be sent to have the outside of bluetooth module by bluetooth module and show dress
Put and show.
Although, the most with general explanation and specific embodiment, this utility model is made detailed description, but
On the basis of this utility model, can make some modifications or improvements it, this is apparent to those skilled in the art
's.Therefore, these modifications or improvements on the basis of without departing from this utility model spirit, belong to this utility model
Claimed scope.
Claims (8)
1. cardiac valve cardiechema signals mechanical vibration intelligent analysis system based on FPGA, it is characterised in that described analysis system
Including signal pickup assembly, A/D converter, FPGA master controller and display screen, described FPGA master controller includes that general purpose I/O connects
Mouth, HHT analyze module, sdram controller, FLASH controller, LED drive circuit and Avalon bus；Described signals collecting fills
The outfan put is connected to the input of A/D converter, and the outfan of described A/D converter connects with the I/O of FPGA master controller
Mouthful connect, described general purpose I/O Interface, HHT analyze module, sdram controller, FLASH controller outfan all and Avalon
Bus connects, and described Avalon bus is connected with display screen by LED drive circuit.
Cardiac valve cardiechema signals mechanical vibration intelligent analysis system based on FPGA the most according to claim 1, it is special
Levying and be, described signal pickup assembly is heart sound transducer or stethoscope, and described heart sound transducer or stethoscope include bluetooth mould
Block A and pretreatment module, described bluetooth module A for carrying out wireless collection to cardiechema signals, and described pretreatment module is for right
Cardiechema signals is amplified.
Cardiac valve cardiechema signals mechanical vibration intelligent analysis system based on FPGA the most according to claim 1, it is special
Levying and be, described heart sound transducer also includes except making an uproar module, the noise produced during removing ambition Systematic Communication.
Cardiac valve cardiechema signals mechanical vibration intelligent analysis system based on FPGA the most according to claim 1, it is special
Levying and be, described HHT analyzes module and includes cardiechema signals time-domain analysis module, cardiechema signals frequency-domain analysis module and cardiechema signals
Energy spectrometer module, described cardiechema signals time-domain analysis module is for the average of cardiechema signals, variance, mean square deviation, maximum,
The calculating of little value；Described cardiechema signals frequency-domain analysis module is used for the FFT of cardiechema signals, frequency spectrum, the analytical calculation of power spectrum, institute
State cardiechema signals energy spectrometer module for the energy domain of cardiechema signals is analyzed.
Cardiac valve cardiechema signals mechanical vibration intelligent analysis system based on FPGA the most according to claim 1, it is special
Levying and be, described FPGA master controller also includes GMM characteristic extracting module, is used for identifying valvular fault type and calculating
The probability that fault occurs, described GMM characteristic extracting module analyzes module with described HHT respectively and Avalon bus is connected.
Cardiac valve cardiechema signals mechanical vibration intelligent analysis system based on FPGA the most according to claim 5, it is special
Levying and be, described analysis system also includes that network data base or smart mobile phone, described FPGA master controller also include wireless module,
Described GMM characteristic extracting module is also connected with wireless module, and the information that GMM characteristic extracting module extracts passes through wireless module
It is transferred to network data base carry out preserving or smart mobile phone is inquired about.
Cardiac valve cardiechema signals mechanical vibration intelligent analysis system based on FPGA the most according to claim 5, it is special
Levying and be, described analysis system also includes exterior display device；Described FPGA master controller also includes bluetooth module B, described outside
Portion's display device has bluetooth module C equally, and described GMM characteristic extracting module is by the bluetooth of bluetooth module B with display device
Module C connects.
Cardiac valve cardiechema signals mechanical vibration intelligent analysis system based on FPGA the most according to claim 5, it is special
Levying and be, described FPGA master controller also includes cardiechema signals memory module, described cardiechema signals memory module and described GMM
Characteristic extracting module connects, for the information processed through GMM characteristic extracting module being preserved.
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| CN201620526967.8U CN205814348U (en) | 2016-06-01 | 2016-06-01 | Cardiac valve cardiechema signals mechanical vibration intelligent analysis system |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105943079A (en) * | 2016-06-01 | 2016-09-21 | 刘子由 | Intelligent analysis system and analysis method for cardiac valve heart sound signal mechanical vibration |
| CN113796888A (en) * | 2021-08-20 | 2021-12-17 | 雄志医疗设备科技(苏州)有限公司 | Detection method and device based on mechanical heart valve sound and readable storage medium |
-
2016
- 2016-06-01 CN CN201620526967.8U patent/CN205814348U/en active Active
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105943079A (en) * | 2016-06-01 | 2016-09-21 | 刘子由 | Intelligent analysis system and analysis method for cardiac valve heart sound signal mechanical vibration |
| CN113796888A (en) * | 2021-08-20 | 2021-12-17 | 雄志医疗设备科技(苏州)有限公司 | Detection method and device based on mechanical heart valve sound and readable storage medium |
| CN113796888B (en) * | 2021-08-20 | 2024-04-12 | 雄志医疗设备科技(苏州)有限公司 | Method and device for detecting sound based on mechanical heart valve and readable storage medium |
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