CN106510770A - Percussion sound signal analysis and recognition system and work method - Google Patents
Percussion sound signal analysis and recognition system and work method Download PDFInfo
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- CN106510770A CN106510770A CN201611197905.8A CN201611197905A CN106510770A CN 106510770 A CN106510770 A CN 106510770A CN 201611197905 A CN201611197905 A CN 201611197905A CN 106510770 A CN106510770 A CN 106510770A
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- 238000009527 percussion Methods 0.000 title claims abstract description 124
- 238000004458 analytical method Methods 0.000 title claims abstract description 52
- 230000005236 sound signal Effects 0.000 title claims abstract description 25
- 238000000034 method Methods 0.000 title claims description 9
- 230000005540 biological transmission Effects 0.000 claims abstract description 17
- 238000001228 spectrum Methods 0.000 claims abstract description 12
- 238000013528 artificial neural network Methods 0.000 claims abstract description 8
- 230000036285 pathological change Effects 0.000 claims abstract description 4
- 238000006243 chemical reaction Methods 0.000 claims description 18
- 210000002216 heart Anatomy 0.000 claims description 8
- 230000003321 amplification Effects 0.000 claims description 7
- 210000000936 intestine Anatomy 0.000 claims description 7
- 238000003199 nucleic acid amplification method Methods 0.000 claims description 7
- 210000000683 abdominal cavity Anatomy 0.000 claims description 6
- 238000001914 filtration Methods 0.000 claims description 4
- 238000012549 training Methods 0.000 claims description 4
- 238000012546 transfer Methods 0.000 claims description 4
- 231100000915 pathological change Toxicity 0.000 claims description 3
- 238000005070 sampling Methods 0.000 claims description 3
- 238000007405 data analysis Methods 0.000 claims description 2
- 230000000934 organogenetic effect Effects 0.000 claims description 2
- 241000894007 species Species 0.000 claims description 2
- 230000005611 electricity Effects 0.000 claims 2
- 241001269238 Data Species 0.000 claims 1
- 210000000056 organ Anatomy 0.000 abstract description 2
- 238000003745 diagnosis Methods 0.000 description 5
- 238000010586 diagram Methods 0.000 description 4
- 238000000605 extraction Methods 0.000 description 4
- 201000010099 disease Diseases 0.000 description 3
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 3
- 239000000284 extract Substances 0.000 description 3
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- 238000013461 design Methods 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 230000003595 spectral effect Effects 0.000 description 2
- 210000001519 tissue Anatomy 0.000 description 2
- 208000037656 Respiratory Sounds Diseases 0.000 description 1
- 206010039109 Rhonchi Diseases 0.000 description 1
- 206010044565 Tremor Diseases 0.000 description 1
- 230000003466 anti-cipated effect Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000003759 clinical diagnosis Methods 0.000 description 1
- 230000008878 coupling Effects 0.000 description 1
- 238000010168 coupling process Methods 0.000 description 1
- 238000005859 coupling reaction Methods 0.000 description 1
- 238000000151 deposition Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 210000003734 kidney Anatomy 0.000 description 1
- 210000004072 lung Anatomy 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 230000007170 pathology Effects 0.000 description 1
- 238000011002 quantification Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 230000035945 sensitivity Effects 0.000 description 1
- 210000000952 spleen Anatomy 0.000 description 1
- 230000007704 transition Effects 0.000 description 1
- 210000001835 viscera Anatomy 0.000 description 1
- 210000003032 wing Anatomy 0.000 description 1
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B9/00—Instruments for examination by percussion; Pleximeters
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
- G10L25/48—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use
- G10L25/51—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use for comparison or discrimination
- G10L25/66—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use for comparison or discrimination for extracting parameters related to health condition
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Abstract
The invention provides a percussion sound signal analysis and recognition system. The percussion sound signal analysis and recognition system comprises a microphone sound collecting end, an adjustable amplifying circuit, an MCU and a signal analyzing and displaying end, wherein the microphone sound collecting end is mounted at the position needing percussion, a microphone sound data transmission end is connected with a data receiving end of the adjustable amplifying circuit, a data transmission end of the adjustable amplifying circuit is connected with a data collecting end of the MCU, a data transmission end of the MCU is connected with a data collecting end of the signal analysis and recognition system, the analysis and recognition system calls the MATLAB program through LabVIEW for extracting spectrum characteristics of sample signals, so that a BP neural network recognition system is trained, the trained recognition system is used for recognizing the collected percussion sound signals, further, the type of the percussion sound is judged, and finally, the pathologic change of the tissue or the organ at the part is deduced according to the identified type of the percussion sound and the percussion part.
Description
Technical field
The present invention relates to signal collection and analysis field, more particularly to a kind of percussion sound signal analysis identifying system and work
Method.
Background technology
Medical students in clinical stage study would generally avenge a grievance in clinical diagnosis class hour study percussion have difficulties.Such as, percussion does not go out
Sound, percussion go out sound and do not know how discriminant analysis etc. again.If to if patient's percussion, the patient's meeting of percussion time length
Your ability is thrown doubt upon.In addition, if percussion result misjudgment, this also the diagnosis and treatment of disease will be produced it is bad after
Really.When this percussion sound is transition sound or complex tone, even more difficulty, the even situation of mistaken diagnosis are brought to clinical judgment
Occur；In some cases, the interference of environment also has to the result of percussion and has a certain impact.And for analysis method in terms of
Research also there is vacancy, this just needs those skilled in the art badly and solves corresponding technical problem.
The content of the invention
It is contemplated that at least solving technical problem present in prior art, a kind of percussion sound is especially innovatively proposed
Signal analysis identifying system and method for work.
In order to realize the above-mentioned purpose of the present invention, the invention provides a kind of percussion sound signal analysis identifying system, including：
Microphone voice collection terminal, adjustable amplifying circuit, MCU, signal analysis display end；
Microphone voice collection terminal is placed in the position for needing percussion, and microphone voice data transmission terminal connects adjustable amplification
Circuit data receiving terminal, can adjust amplifying circuit data transmission terminal connection MCU data acquisitions end, MCU data transmission terminals connection letter
Number analysis display system data acquisition end.
Described percussion sound signal analysis identifying system, it is preferred that also including watchdog circuit,
Feeder ear connects watchdog circuit power connector end, watchdog circuit feeder ear connection MCU power ends.
Described percussion sound signal analysis identifying system, it is preferred that the MCU data transmission terminals are passed by RS232 buses
Transmission of data is to signal analysis display system data acquisition end.
Described percussion sound signal analysis identifying system, it is preferred that the MCU is AT89C51.
Described percussion sound signal analysis identifying system, it is preferred that the adjustable amplifying circuit passes through analog to digital conversion circuit
Connection MCU data acquisitions end.
Invention additionally discloses a kind of percussion sound signal analysis recognizes method of work, comprise the steps：
S1, selects percussion position, data acquisition is then carried out to percussion region, and microphone will be held after percussion sound data acquisition
Row S2；
S2, as the electric signal that percussion message number is converted into is very faint, needs first pass through amplification, are amplified according to percussion sound
Multiple is respectively some gears, can be adjusted in real time according to the power of signal；The regulation of gain passes through rear class amplifying circuit
Resistance realizing, adjust switch-mode regulation and connect different resistance, so as to select different gains,
Its middle gear is selected：When percussion sound is extremely weak state, gain amplifier is adjusted to into maximum gear；When percussion sound
For moderate state when, gain amplifier is adjusted to into intervening gears, when percussion sound be extremely strong state when, gain amplifier is adjusted to most
It is little；
S3, removes interference tones using analog filter, doped with heart sound, diaphragm sound, intestines sound, abdominal cavity sound in the percussion sound of collection
Interference tones, in order to remove the presence of these interference tones, by the heart sound of percussion sound, diaphragm sound, intestines sound, the interference tones of abdominal cavity sound frequency
Spectrum storage, by the heart sound that includes in percussion sound of the analog filter by actual acquisition, diaphragm sound, intestines sound, abdominal cavity sound interference tones
Remove；
S4, changes to the A/D of percussion message number, realizes the A/D conversions to signal after filtering, and can carry out with MCU
Data exchange；
S5, to percussion sound data acquisition, transferring data to MCU by analog to digital conversion circuit carries out data analysis, and MCU can
Control sampling number is realized, is realized by time delay being worked out to MCU；
The data of MCU are carried out level conversion and data transfer by S6, and the Transistor-Transistor Logic level of MCU outputs is shown with signal analysis
The level that system data acquisition end serial ports sends is inconsistent.By level translator, MAX232 chips are realizing level conversion, Jing
The data separate RS232 buses for crossing conversion are sent to signal analysis display system data acquisition end；
S7, percussion sound signal analysis identifying system realize that collection, analysis, identification and the result of percussion message number shows.By
Percussion sound in human body difference percussion position can be divided into voiceless sound, voiced sound, flatness, tympanitic note, hyperresonant note, therefore need first by difference
The corresponding voiceless sound in percussion position, voiced sound, flatness, tympanitic note, the percussion sound sample signal of hyperresonant note are stored in analysis identifying system, then
In LabVIEW, the spectrum signature of MATLAB Program extraction sample signal is trained to BP neural network identifying system,
The percussion message number for gathering is identified using the identifying system after training, and then judges to belong to which kind of percussion sound, last root
The tissue or organogenetic pathological change at the position are speculated according to the percussion sound species and percussion position for recognizing.LabVIEW is also
Realize the display of the percussion message number and final recognition result to gathering.
In sum, as a result of above-mentioned technical proposal, the invention has the beneficial effects as follows：
The present invention program innovatively proposes a kind of percussion cent analysis identifying schemes.Percussion sound is gathered by the device, according to
The characteristic voice of percussion sound has without exception judging examined position internal organs, then the present invention can be by passing according to voice signal
Sensor is acquired, analyze and obtain spectrum signature, and then judges which kind of percussion sound belonged to, finally according to the percussion sound kind after identification
The pathological change that class and percussion position may occur the tissue or organ that speculate the position.With the analysis identifying system to certain
The judgement of pathology corresponding to percussion sound is planted, the problems such as artificial mistaken diagnosis being avoided, failed to pinpoint a disease in diagnosis；Combined with virtual instrument software LabVIEW
With BP neural network recognizer, good auxiliary examination system is provided for percussion operating personnel.
The additional aspect and advantage of the present invention will be set forth in part in the description, and partly will become from the following description
Obtain substantially, or recognized by the practice of the present invention.
Description of the drawings
The above-mentioned and/or additional aspect and advantage of the present invention will become from the description with reference to accompanying drawings below to embodiment
It is substantially and easy to understand, wherein：
Fig. 1 is overall circuit schematic diagram of the present invention；
Fig. 2 is method of work schematic diagram of the present invention；
Fig. 3 A-3B are BP neural network training of the present invention and identifying system schematic diagram.
Specific embodiment
Embodiments of the invention are described below in detail, the example of the embodiment is shown in the drawings, wherein from start to finish
Same or similar label represents same or similar element or the element with same or like function.Below with reference to attached
The embodiment of figure description is exemplary, is only used for explaining the present invention, and is not considered as limiting the invention.
In describing the invention, it is to be understood that term " longitudinal direction ", " horizontal ", " on ", D score, "front", "rear",
The orientation or position relationship of the instruction such as "left", "right", " vertical ", " level ", " top ", " bottom " " interior ", " outward " is based on accompanying drawing institute
The orientation for showing or position relationship, are for only for ease of the description present invention and simplify description, rather than indicate or imply the dress of indication
Put or element must have specific orientation, with specific azimuth configuration and operation, therefore it is not intended that to the present invention limit
System.
In describing the invention, unless otherwise prescribed and limit, it should be noted that term " installation ", " being connected ",
" connection " should be interpreted broadly, for example, it may be mechanically connected or electrical connection, or the connection of two element internals, can
Being to be joined directly together, it is also possible to be indirectly connected to by intermediary, for the ordinary skill in the art, can basis
Concrete condition understands the concrete meaning of above-mentioned term.
As shown in figure 1, the invention provides a kind of percussion sound signal analysis identifying system, including：Microphone voice is gathered
End, adjustable amplifying circuit, MCU, signal analysis display end；
Microphone voice collection terminal is placed in the position for needing percussion, and microphone voice data transmission terminal connects adjustable amplification
Circuit data receiving terminal, can adjust amplifying circuit data transmission terminal connection MCU data acquisitions end, and the connection of MCU data transmission terminals is kowtowed
Examine frequency spectrum display system data acquisition end.
Described percussion sound signal analysis identifying system, it is preferred that also including watchdog circuit,
Feeder ear connects watchdog circuit power connector end, watchdog circuit feeder ear connection MCU power ends.
Described percussion sound signal analysis identifying system, it is preferred that the MCU data transmission terminals are passed by RS232 buses
Transmission of data is to signal analysis display system data acquisition end.
Described percussion sound signal analysis identifying system, it is preferred that the MCU is AT89C51.
Described percussion sound signal analysis identifying system, it is preferred that the adjustable amplifying circuit passes through analog to digital conversion circuit
Connection MCU data acquisitions end.
Turning on and off, preventing instantaneous supply voltage shakiness from causing system dead for power supply is carried out using watchdog circuit
Machine, loss of data and misoperation etc. are operated.
Wherein microphone is microphone or audio collecting device.
As shown in Fig. 2 for the method for work schematic diagram of the system, wherein 1, select percussion position (heart, lung, spleen, kidney, wing
Guang etc.), reasonable placement microphone or microphone or audio collecting device extract percussion message number；2nd, gain is adjusted, to kowtowing
Rhonchus signal is amplified；3rd, filter parameter is set, interference tones are removed；4th, analysis identification percussion message number.
1st, the extraction of percussion message number：
High using sensitivity, the strong sensor of environment resistant interference performance extracts faint percussion sound.The sensing modality drafted
Coordinate Air Coupling chamber for microphone, make the vibration of body surface be converted into measurable sound pressure signal, then converted by microphone
For electric signal.
The extraction of percussion message number is that we copy the extraction of auscultative signal and design, as P＆A is used
Physics principle be all human body vibration sounding mechanism.
2nd, the amplification of percussion message number：
As the electric signal that percussion message number is converted into is very faint, so needing to first pass through amplification.Multiplication factor
It is divided into several adjustable shelves, can be adjusted in real time according to the power of signal.The regulation of gain is by rear class amplifying circuit
Resistance adjusts switching knob and connects different resistance realizing, manually, so as to select different gains.
3rd, interference tones are removed using analog filter：
In view of in percussion sound doped with other interference tones such as heart sound, diaphragm sound, intestines sounds.In order to remove depositing for these interference tones
Needing to be simulated filtering to signal.But, our the concrete frequency spectrums to each percussion sound are clear not enough at present, so needing
First substantial amounts of sample data anticipated and analyzed, be obtained the spectral range of each interference tones, then be designed corresponding
Wave filter reduces and removes the impact brought by interference tones.
The setting that it is critical only that cut-off frequency of design wave filter.Based on clinically can to a large amount of sufferers implement percussion, I
Can be easy to collect the related data of needs in hospital, so the acquisition of each interference tones spectral limit and wave filter cut
The only setting of frequency has feasibility.
4th, the A/D conversions of percussion message number：
Change that we utilize for the A/D of percussion message number is ADC0809 chips.ADC0809 chips are one 8
Analog-digital converter, has conversion start position and converts mark, realizes the A/D conversions to signal after filtering, and can be convenient
Ground carries out data exchange with MCU.
5th, the data acquisition of percussion message number：
The data that can realize that the control to ADC0809 and reading ADC0809 are converted to are programmed to AT89S51,
In addition, AT89S51 may also operate as the effect for controlling sampling number, realized by working out delay procedure.
6th, level conversion and data transfer：
Due to MCU output Transistor-Transistor Logic level it is inconsistent with the level that PC serial ports sends.Accordingly, it would be desirable to a level conversion
Device, selects MAX232 chips to realize level conversion here.Data through changing just can be sent to PC using RS232 buses
Machine.
7th, PC realizes the analysis identifying processing of percussion message number：
As shown in figs 3 a and 3b, PC part we use virtual instrument development platform LabVIEW to carry out to signal point
Analysis.There is substantial amounts of data processing module in LabVIEW, be capable of the spectrum signature of MATLAB Program extraction sample signal to BP
Neural network recognization system is trained, and recycles the identifying system after training to be identified gathered percussion message number.
LabVIEW will also realize the display function to gathered percussion message number and final recognition result.
S1, is acquired to percussion sound sample signal for percussion position, and the signal data to gathering is pre-processed, so
Spectrum signature extraction is carried out to corresponding percussion sound afterwards, by the spectrum signature for extracting and the expectation percussion sound for expecting percussion position
Compare, BP neural network is carried out to the percussion sound of corresponding site and is trained；
Percussion message number to be identified is carried out percussion sound pretreatment by S2, and percussion sound to be identified is carried out spectrum signature then
Extract, be identified by BP neural network, recognition result is shown.
8th, the characteristic and innovation of this project
The characteristic innovation of this project allows for there is presently no the soft or hard for being analyzed percussion message number identification
Part system, we innovatively propose a kind of signal analysis of percussion sound and identifying schemes so that percussion sound can be visualized, quantification
And automatic identification, can so lower the artificial misjudgment of doctor and medicos, enable to the diagnosis of relevant disease
Obtain more accurately and reliably foundation.
In the description of this specification, reference term " one embodiment ", " some embodiments ", " example ", " specifically show
Example ", or the description of " some examples " etc. mean specific features with reference to the embodiment or example description, structure, material or spy
Point is contained at least one embodiment or example of the present invention.In this manual, to the schematic representation of above-mentioned term not
Identical embodiment or example are referred to necessarily.And, the specific features of description, structure, material or feature can be any
One or more embodiments or example in combine in an appropriate manner.
Although an embodiment of the present invention has been shown and described, it will be understood by those skilled in the art that：Not
These embodiments can be carried out with various changes, modification, replacement and modification in the case of the principle and objective that depart from the present invention, this
The scope of invention is limited by claim and its equivalent.
Claims (6)
1. a kind of percussion sound signal analysis identifying system, it is characterised in that include：Microphone voice collection terminal, adjustable amplification electricity
Road, MCU, signal analysis display end；
Microphone voice collection terminal is placed in the position for needing percussion, microphone voice data transmission terminal connection adjustable amplifying circuit
Data receiver, can adjust amplifying circuit data transmission terminal connection MCU data acquisitions end, MCU data transmission terminals connection signal point
Analysis display system data acquisition end.
2. percussion sound signal analysis identifying system according to claim 1, it is characterised in that also including watchdog circuit,
Feeder ear connects watchdog circuit power connector end, watchdog circuit feeder ear connection MCU power ends.
3. percussion sound signal analysis identifying system according to claim 1, it is characterised in that the MCU data transmission terminals
By RS232 bus transfer datas to signal analysis display system data acquisition end.
4. percussion sound signal analysis identifying system according to claim 1, it is characterised in that the MCU is AT89C51.
5. percussion sound signal analysis identifying system according to claim 1, it is characterised in that the adjustable amplifying circuit leads to
Cross analog to digital conversion circuit connection MCU data acquisitions end.
6. a kind of percussion sound signal analysis recognizes method of work, it is characterised in that comprise the steps：
S1, selects percussion position, and data acquisition is then carried out to percussion region, and microphone will be performed after percussion sound data acquisition
S2；
S2, as the electric signal that percussion message number is converted into is very faint, needs first pass through amplification, according to percussion sound multiplication factor
Respectively some gears, can be adjusted in real time according to the power of signal；Electricity of the regulation of gain by rear class amplifying circuit
Hinder to realize, adjust switch-mode regulation and connect different resistance, so as to select different gains,
Its middle gear is selected：When percussion sound is extremely weak state, gain amplifier is adjusted to into maximum gear；When percussion sound is suitable
During middle state, gain amplifier is adjusted to into intervening gears, when percussion sound is extremely strong state, gain amplifier is adjusted to into minimum；
S3, removes interference tones using analog filter, in the percussion sound of collection doped with heart sound, diaphragm sound, intestines sound, abdominal cavity sound it is dry
Sound is disturbed, in order to remove the presence of these interference tones, the frequency spectrum of the heart sound of percussion sound, diaphragm sound, intestines sound, the interference tones of abdominal cavity sound is deposited
Storage, is removed by the interference tones of the heart sound that includes in percussion sound of the analog filter by actual acquisition, diaphragm sound, intestines sound, abdominal cavity sound；
S4, changes to the A/D of percussion message number, realizes the A/D conversions to signal after filtering, and can carry out data with MCU
Exchange；
S5, to percussion sound data acquisition, transferring data to MCU by analog to digital conversion circuit carries out data analysis, and MCU realizes control
Sampling number processed, is realized by working out time delay to MCU；
The data of MCU are carried out level conversion and data transfer, the Transistor-Transistor Logic level and signal analysis display system of MCU outputs by S6
The level that data acquisition end serial ports sends is inconsistent.By level translator, MAX232 chips are realizing level conversion, Jing Guozhuan
The data separate RS232 buses changed are sent to signal analysis display system data acquisition end；
S7, percussion sound signal analysis identifying system realize that collection, analysis, identification and the result of percussion message number shows.Due to people
The percussion sound at body difference percussion position can be divided into voiceless sound, voiced sound, flatness, tympanitic note, hyperresonant note, therefore need first by different percussions
The corresponding voiceless sound in position, voiced sound, flatness, tympanitic note, the percussion sound sample signal of hyperresonant note are stored in analysis identifying system, Ran Hou
In LabVIEW, the spectrum signature of MATLAB Program extraction sample signal is trained to BP neural network identifying system, profit
The percussion message number for gathering is identified with the identifying system after training, and then judges which kind of percussion sound belonged to, finally according to
The percussion sound species of identification and percussion position are speculating the tissue or organogenetic pathological change at the position.LabVIEW is also real
The display of percussion message number and final recognition result now to collection.
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| CN201611197905.8A CN106510770A (en) | 2016-12-22 | 2016-12-22 | Percussion sound signal analysis and recognition system and work method |
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| CN201611197905.8A CN106510770A (en) | 2016-12-22 | 2016-12-22 | Percussion sound signal analysis and recognition system and work method |
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| CN107582102A (en) * | 2017-09-27 | 2018-01-16 | 尹兆钰 | A kind of medical GI Medicine clinic check device |
| CN107993548A (en) * | 2018-02-01 | 2018-05-04 | 福建中医药大学 | Equipment is trained in a kind of percussion |
| CN108209972A (en) * | 2018-01-05 | 2018-06-29 | 刘俊梅 | A kind of medical intensive care percussion hammer |
| CN109243615A (en) * | 2018-10-12 | 2019-01-18 | 东软集团股份有限公司 | Determine the method, apparatus and storage medium of percussion information |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN107582102A (en) * | 2017-09-27 | 2018-01-16 | 尹兆钰 | A kind of medical GI Medicine clinic check device |
| CN108209972A (en) * | 2018-01-05 | 2018-06-29 | 刘俊梅 | A kind of medical intensive care percussion hammer |
| CN108209972B (en) * | 2018-01-05 | 2020-11-06 | 刘俊梅 | Percussion hammer for internal medicine intensive care therapy |
| CN107993548A (en) * | 2018-02-01 | 2018-05-04 | 福建中医药大学 | Equipment is trained in a kind of percussion |
| CN107993548B (en) * | 2018-02-01 | 2020-11-13 | 福建中医药大学 | Percussion training equipment |
| CN109243615A (en) * | 2018-10-12 | 2019-01-18 | 东软集团股份有限公司 | Determine the method, apparatus and storage medium of percussion information |
| CN109243615B (en) * | 2018-10-12 | 2021-03-30 | 东软集团股份有限公司 | Method, apparatus and storage medium for determining percussion information |
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