CN109346167A - An artificial intelligence-based diagnostic assistance system - Google Patents
An artificial intelligence-based diagnostic assistance system Download PDFInfo
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- CN109346167A CN109346167A CN201810874483.6A CN201810874483A CN109346167A CN 109346167 A CN109346167 A CN 109346167A CN 201810874483 A CN201810874483 A CN 201810874483A CN 109346167 A CN109346167 A CN 109346167A
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
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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
- G10L15/00—Speech recognition
- G10L15/06—Creation of reference templates; Training of speech recognition systems, e.g. adaptation to the characteristics of the speaker's voice
- G10L15/063—Training
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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
- G10L15/00—Speech recognition
- G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
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Abstract
本发明涉及一种基于人工智能的诊断辅助系统，属于人工智能技术领域。包括语音采集模块、语音分析模块、信息处理模块和语音交互模块；所述语音采集模块用于采集患者的语音音频数据；所述语音分析模块用于对采集的语音音频数据进行分析，并将分析结果输送至信息处理模块；所述信息处理模块用于对分析结果进行处理，筛选出与之对应的诊断结果和；所述语音交互模块用于将诊断结果反馈给患者。本发明能够辅助医生对患者进行问诊，减少患者就诊的时间和金钱花费，同时也减少医生的大量重复简单的问诊时间，为医生提供患者的精练病症信息，提供专业的医学诊断建议参考。
The invention relates to an artificial intelligence-based diagnosis assistance system, which belongs to the technical field of artificial intelligence. It includes a voice acquisition module, a voice analysis module, an information processing module and a voice interaction module; the voice acquisition module is used to collect the patient's voice audio data; the voice analysis module is used to analyze the collected voice audio data, and analyze the The result is sent to the information processing module; the information processing module is used for processing the analysis result, and the corresponding diagnosis result and sum are selected; the voice interaction module is used for feeding back the diagnosis result to the patient. The present invention can assist doctors to conduct consultations on patients, reduce the time and money spent on patients' consultations, and at the same time reduce a large number of repeated and simple consultation time for doctors, provide doctors with refined disease information of patients, and provide professional reference for medical diagnosis suggestions.
Description
Technical field
The present invention relates to a kind of diagnosis aid systems based on artificial intelligence, belong to field of artificial intelligence.
Background technique
Currently, ordinary people Expensive and hard to visit doctors is China's medical system most distinct issues.In general, a life
Disease, though be not very serious disease, such as child cat fever cough etc disease, Ye Yaoqu hospital goes to look at.It is first
First the time of or so hour to be spent to come hospital, followed by registered, it is different according to the hospital department situation registered, usually hang
It needs to wait half an hour that can just be gone to a doctor by several hours after number, sometimes even needs to wait one day or several days, or
Person at all just hang less than number.And it is not at all easy seen doctor, often consultation time only has short a few minutes.Even so
One common minor illness, also it is generally necessary to spend half a day to one day time, and really the interrogation time only have it is short several
Minute.
And for doctor, since patient is too many, it is difficult to spend too much of his time each patient, so having to several
The interrogation of a patient will be completed in minute.Since the time is too short, it is also difficult to accomplish careful patient interrogation always.And it is usual
In the case of, a large amount of patient is daily minor illness, so doctor is simple, duplicate at daily most of the time
It goes to ask some essentially identical problems, mechanically does identical thing.
Summary of the invention
The technical problem to be solved in the present invention is to provide a kind of diagnosis aid systems based on artificial intelligence, cure to solve
It is nervous to treat resource, realizes patient one self interrogation, auxiliary doctor obtains diagnostic result.
The technical scheme is that a kind of diagnosis aid system based on artificial intelligence, including voice acquisition module, language
Sound analysis module, message processing module and voice interaction module；
The voice acquisition module is used to acquire the voice audio data of patient；
The speech analysis module is delivered to letter for analyzing the voice audio data of acquisition, and by analysis result
Cease processing module；
The message processing module be used for analysis result handle, filter out corresponding diagnostic result and；
The voice interaction module is used to diagnostic result feeding back to patient.
The voice acquisition module includes speech recognition circuit, the speech recognition circuit include voice recognition chip U1,
It is resistance R11, resistance R12, resistance R14, resistance R15, resistance R16, electrolytic capacitor C2, non-polar capacitor C3, non-polar capacitor C5, electrodeless
Capacitor C6, non-polar capacitor C9, non-polar capacitor C11, light emitting diode D2, light emitting diode D3；Wherein voice recognition chip U1
34 ends~45 ends, 47 ends, 48 ends are electrically connected with the I/O port of single-chip microcontroller U2 respectively, 31 ends of voice recognition chip U1 and resistance
The one end R15 is electrically connected, and the I/O port of the resistance R15 other end and single-chip microcontroller U2 are electrically connected, 7 ends of voice recognition chip U1,1
End, 32 ends, 19 ends, 23 ends and 3.3V DC power anode are electrically connected, 8 ends, 33 ends, 17 ends, 24 of voice recognition chip U1
End, 10 ends are connected to ground, and 12 ends of voice recognition chip U1 and electrolytic capacitor C2 anode and the one end non-polar capacitor C3 are electrically connected,
Electrolytic capacitor C2 cathode and the non-polar capacitor C3 other end are connected to ground, 20 ends and the one end non-polar capacitor C6 of voice recognition chip U1
It is electrically connected, 21 ends and non-polar capacitor C5 and the one end resistance R12 of the non-polar capacitor C6 other end and voice recognition chip U1 are electrical
22 ends of connection, non-polar capacitor C5 and the resistance R12 other end and voice recognition chip are electrically connected, and the 30 of voice recognition chip U1
End, 29 ends are electrically connected with light emitting diode D2, D3 respectively, and are being connected to 5V DC power supply just by resistance R14, R16 respectively
Pole, 18 ends of voice recognition chip U1 and electrolytic capacitor C9 and non-polar capacitor C11 are electrically connected, electrolytic capacitor C9 and non-polar capacitor
25 ends of C11 and voice recognition chip U1 are connected to ground.
The speech analysis module includes logic analysis circuit, and the logic analysis circuit includes resistance R1, resistance R2, electricity
Hinder R3, resistance R4, resistance R5, dichromatic LED D1 and operational amplifier U；The logic level input connecting resistance R1,
One end of resistance R2, operational amplifier U inverting input terminal, the other end ground connection of resistance R1, another termination operation of resistance R2
The output end of amplifier U and one end of dichromatic LED D1, the one of another terminating resistor R5 of dichromatic LED D1
End, another termination+5V power supply of resistance R5, resistance R4 mono- terminate the non-inverting input terminal of operational amplifier U and one end of resistance R3,
Resistance R3 other end ground connection, another termination+5V power supply of resistance R4, positive supply termination+12V power supply, its negative electricity of operational amplifier U
Source ground connection.
The voice interaction module includes amplifier circuit for sound frequency signal, and the amplifier circuit for sound frequency signal includes model
The operational amplifier chip of TL084, definite value are resistance R25, R27 of 1k, and definite value is slide rheostat R24, R25 of 500K, fixed
Value is capacitor C13, C14 of 100pF, analogue audio frequency L channel coaxial cable output interface, analogue audio frequency right channel coaxial cable
Output interface；4 ports of the operational amplifier chip TL084 are connected with external dc power+12V；The operational amplifier
11 ports of chip TL084 are connected with external dc power -12V；3 ports of the operational amplifier chip TL084 and ground GND
It is connected；The resistance R25 is connected with 2 ports of the operational amplifier chip TL084；The left end of the slide rheostat R24
It is connected with 2 ports of the operational amplifier chip TL084, right end and intermediate one end and the operational amplifier chip TL084
1 port be connected；6 port phases of 1 port of the operational amplifier chip TL084 and the operational amplifier chip TL084
Even；6 ports of the operational amplifier chip TL084 are connected with 7 ports of the operational amplifier chip TL084；The electricity
The one end for holding C13 is connected with 7 ports of the operational amplifier chip TL084, and the other end is connected with ground GND；The analog audio
1 port of frequency L channel coaxial cable output interface is connected with 7 ports of the operational amplifier chip TL084,2 ports and ground
GND is connected；10 ports of the operational amplifier chip TL084 are connected with ground GND；The resistance R27 and the operation amplifier
9 ports of device chip TL084 are connected；9 ends of the left end of the slide rheostat R26 and the operational amplifier chip TL084
Mouth is connected, and right end and intermediate one end are connected with 8 ports of the operational amplifier chip TL084；The operational amplifier chip
8 ports of TL084 are connected with 13 ports of the operational amplifier chip TL084；The 13 of the operational amplifier chip TL084
Port is connected with 14 ports of the operational amplifier chip TL084；One end of the capacitor C14 and the operational amplifier core
14 ports of piece TL084 are connected, and the other end is connected with ground GND；1 end of the analogue audio frequency right channel coaxial cable output interface
Mouth is connected with 14 ports of the operational amplifier chip TL084, and 2 ports are connected in GND.
The beneficial effects of the present invention are: doctor can be assisted to carry out interrogation to patient, time and the gold of patient assessment are reduced
Money is spent, while also being reduced doctor and largely being repeated the simple interrogation time, is provided the concise illness information of patient for doctor, is mentioned
Medical diagnosis suggestion for profession refers to；Meanwhile the system can by training obtain various models, can autonomous learning simultaneously
Interrogation mechanism is improved, the versatility of system and the accuracy of diagnosis are improved.
Detailed description of the invention
Fig. 1 is speech recognition circuit figure of the present invention；
Fig. 2 is logic analysis circuit diagram of the present invention；
Fig. 3 is amplifier circuit for sound frequency signal figure of the present invention.
Specific embodiment
With reference to the accompanying drawings and detailed description, the invention will be further described.
Embodiment 1: a kind of diagnosis aid system based on artificial intelligence, including voice acquisition module, speech analysis module,
Message processing module and voice interaction module；
The voice acquisition module is used to acquire the voice audio data of patient；
The speech analysis module is delivered to letter for analyzing the voice audio data of acquisition, and by analysis result
Cease processing module；
The message processing module be used for analysis result handle, filter out corresponding diagnostic result and；
The voice interaction module is used to diagnostic result feeding back to patient.
As shown in Figure 1, the voice acquisition module includes speech recognition circuit, the speech recognition circuit includes that voice is known
Other chip U1, resistance R11, resistance R12, resistance R14, resistance R15, resistance R16, electrolytic capacitor C2, non-polar capacitor C3, electrodeless electricity
Hold C5, non-polar capacitor C6, non-polar capacitor C9, non-polar capacitor C11, light emitting diode D2, light emitting diode D3；Wherein speech recognition
34 ends of chip U1~45 ends, 47 ends, 48 ends are electrically connected with the I/O port of single-chip microcontroller U2 respectively, and the 31 of voice recognition chip U1
End is electrically connected with the one end resistance R15, and the I/O port of the resistance R15 other end and single-chip microcontroller U2 are electrically connected, voice recognition chip
7 ends, 1 end, 32 ends, 19 ends, 23 ends and the 3.3V DC power anode of U1 is electrically connected, 8 ends of voice recognition chip U1,33
End, 17 ends, 24 ends, 10 ends are connected to ground, 12 ends and electrolytic capacitor C2 anode and the non-polar capacitor C3 mono- of voice recognition chip U1
End is electrically connected, and electrolytic capacitor C2 cathode and the non-polar capacitor C3 other end are connected to ground, 20 ends of voice recognition chip U1 and nothing
The one end electrode capacitance C6 is electrically connected, 21 ends and non-polar capacitor C5 of the non-polar capacitor C6 other end and voice recognition chip U1 and resistance
The one end R12 is electrically connected, and the 22 ends electric connection of non-polar capacitor C5 and the resistance R12 other end and voice recognition chip, voice are known
30 ends, 29 ends of other chip U1 are electrically connected with light emitting diode D2, D3 respectively, and are connected to respectively by resistance R14, R16
5V DC power anode, 18 ends of voice recognition chip U1 and electrolytic capacitor C9 and non-polar capacitor C11 are electrically connected, electrolytic capacitor
25 ends of C9 and non-polar capacitor C11 and voice recognition chip U1 are connected to ground.
As shown in Fig. 2, the speech analysis module includes logic analysis circuit, the logic analysis circuit includes resistance
R1, resistance R2, resistance R3, resistance R4, resistance R5, dichromatic LED D1 and operational amplifier U；The logic level input
Terminating resistor R1, one end of resistance R2, operational amplifier U inverting input terminal, resistance R1 the other end ground connection, resistance R2's is another
The output end of one termination operational amplifier U and one end of dichromatic LED D1, another termination of dichromatic LED D1
One end of resistance R5, another termination+5V power supply of resistance R5, resistance R4 mono- terminate the non-inverting input terminal and electricity of operational amplifier U
Hinder one end of R3, resistance R3 other end ground connection, another termination+5V power supply of resistance R4, the positive supply termination+12V of operational amplifier U
Power supply, its negative power end ground connection.
As shown in figure 3, the voice interaction module includes amplifier circuit for sound frequency signal, the amplifier circuit for sound frequency signal packet
The operational amplifier chip of model TL084 is included, definite value is resistance R25, R27 of 1k, and definite value is the slide rheostat of 500K
R24, R25, definite value are capacitor C13, C14 of 100pF, analogue audio frequency L channel coaxial cable output interface, the right sound of analogue audio frequency
Road coaxial cable output interface；4 ports of the operational amplifier chip TL084 are connected with external dc power+12V；It is described
11 ports of operational amplifier chip TL084 are connected with external dc power -12V；The 3 of the operational amplifier chip TL084
Port is connected with ground GND；The resistance R25 is connected with 2 ports of the operational amplifier chip TL084；The sliding variable resistance
The left end of device R24 is connected with 2 ports of the operational amplifier chip TL084, right end and intermediate one end and the operation amplifier
1 port of device chip TL084 is connected；1 port of the operational amplifier chip TL084 and the operational amplifier chip
6 ports of TL084 are connected；7 ends of 6 ports of the operational amplifier chip TL084 and the operational amplifier chip TL084
Mouth is connected；One end of the capacitor C13 is connected with 7 ports of the operational amplifier chip TL084, the other end and ground GND phase
Even；1 port of the analogue audio frequency L channel coaxial cable output interface and 7 ports of the operational amplifier chip TL084
It is connected, 2 ports are connected with ground GND；10 ports of the operational amplifier chip TL084 are connected with ground GND；The resistance R27
It is connected with 9 ports of the operational amplifier chip TL084；The left end of the slide rheostat R26 and the operational amplifier
9 ports of chip TL084 are connected, and right end and intermediate one end are connected with 8 ports of the operational amplifier chip TL084；It is described
8 ports of operational amplifier chip TL084 are connected with 13 ports of the operational amplifier chip TL084；The operation amplifier
13 ports of device chip TL084 are connected with 14 ports of the operational amplifier chip TL084；One end of the capacitor C14 with
14 ports of the operational amplifier chip TL084 are connected, and the other end is connected with ground GND；The analogue audio frequency right channel is coaxial
1 port of Cable-out interface is connected with 14 ports of the operational amplifier chip TL084, and 2 ports are connected in GND.
In conjunction with attached drawing, the embodiment of the present invention is explained in detail above, but the present invention is not limited to above-mentioned
Embodiment within the knowledge of a person skilled in the art can also be before not departing from present inventive concept
Put that various changes can be made.
Claims (4)
1. a kind of diagnosis aid system based on artificial intelligence, it is characterised in that: including voice acquisition module, speech analysis mould
Block, message processing module and voice interaction module；
The voice acquisition module is used to acquire the voice audio data of patient；
The speech analysis module is delivered at information for analyzing the voice audio data of acquisition, and by analysis result
Manage module；
The message processing module be used for analysis result handle, filter out corresponding diagnostic result and；
The voice interaction module is used to diagnostic result feeding back to patient.
2. the diagnosis aid system according to claim 1 based on artificial intelligence, it is characterised in that: the voice collecting mould
Block includes speech recognition circuit, and the speech recognition circuit includes voice recognition chip U1, resistance R11, resistance R12, resistance
R14, resistance R15, resistance R16, electrolytic capacitor C2, non-polar capacitor C3, non-polar capacitor C5, non-polar capacitor C6, non-polar capacitor C9, nothing
Electrode capacitance C11, light emitting diode D2, light emitting diode D3；Wherein 34 ends of voice recognition chip U1~45 ends, 47 ends, 48 ends
It is electrically connected respectively with the I/O port of single-chip microcontroller U2,31 ends and the one end resistance R15 of voice recognition chip U1 are electrically connected, resistance
The I/O port of the R15 other end and single-chip microcontroller U2 are electrically connected, 7 ends of voice recognition chip U1,1 end, 32 ends, 19 ends, 23 ends with
3.3V DC power anode is electrically connected, and 8 ends, 33 ends, 17 ends, 24 ends, 10 ends of voice recognition chip U1 are connected to ground, voice
12 ends of identification chip U1 and electrolytic capacitor C2 anode and the one end non-polar capacitor C3 are electrically connected, electrolytic capacitor C2 cathode and electrodeless
The capacitor C3 other end is connected to ground, and 20 ends and the one end non-polar capacitor C6 of voice recognition chip U1 are electrically connected, non-polar capacitor C6
21 ends and non-polar capacitor C5 and the one end resistance R12 of the other end and voice recognition chip U1 are electrically connected, non-polar capacitor C5 and electricity
22 ends for hindering the R12 other end and voice recognition chip are electrically connected, 30 ends of voice recognition chip U1,29 ends respectively with shine two
Pole pipe D2, D3 is electrically connected, and is connected to 5V DC power anode by resistance R14, R16 respectively, voice recognition chip U1's
18 ends and electrolytic capacitor C9 and non-polar capacitor C11 are electrically connected, electrolytic capacitor C9 and non-polar capacitor C11 and voice recognition chip U1
25 ends be connected to ground.
3. the diagnosis aid system according to claim 1 based on artificial intelligence, it is characterised in that: the speech analysis mould
Block includes logic analysis circuit, and the logic analysis circuit includes resistance R1, resistance R2, resistance R3, resistance R4, resistance R5, double
Color light emitting diode D1 and operational amplifier U；The logic level input connecting resistance R1, one end of resistance R2, operation amplifier
The inverting input terminal of device U, the other end ground connection of resistance R1, the output end of another termination operational amplifier U of resistance R2 and double-colored
One end of light emitting diode D1, one end of another terminating resistor R5 of dichromatic LED D1, another termination+5V of resistance R5
Power supply, resistance R4 mono- terminate the non-inverting input terminal of operational amplifier U and one end of resistance R3, resistance R3 other end ground connection, resistance
Another termination+5V power supply of R4, the positive supply termination+12V power supply of operational amplifier U, its negative power end ground connection.
4. the diagnosis aid system according to claim 1 based on artificial intelligence, it is characterised in that: the interactive voice mould
Block includes amplifier circuit for sound frequency signal, and the amplifier circuit for sound frequency signal includes the operational amplifier chip of model TL084, fixed
Value is resistance R25, R27 of 1k, and definite value is slide rheostat R24, R25 of 500K, and definite value is capacitor C13, C14 of 100pF, mould
Quasi- audio L channel coaxial cable output interface, analogue audio frequency right channel coaxial cable output interface；The operational amplifier core
4 ports of piece TL084 are connected with external dc power+12V；11 ports and outside of the operational amplifier chip TL084 are straight
Galvanic electricity source -12V is connected；3 ports of the operational amplifier chip TL084 are connected with ground GND；The resistance R25 and the fortune
2 ports for calculating amplifier chip TL084 are connected；The left end of the slide rheostat R24 and the operational amplifier chip TL084
2 ports be connected, right end and centre one end be connected with 1 port of the operational amplifier chip TL084；The operational amplifier
1 port of chip TL084 is connected with 6 ports of the operational amplifier chip TL084；The operational amplifier chip TL084
6 ports be connected with 7 ports of the operational amplifier chip TL084；One end of the capacitor C13 and the operational amplifier
7 ports of chip TL084 are connected, and the other end is connected with ground GND；The 1 of the analogue audio frequency L channel coaxial cable output interface
Port is connected with 7 ports of the operational amplifier chip TL084, and 2 ports are connected with ground GND；The operational amplifier chip
10 ports of TL084 are connected with ground GND；The resistance R27 is connected with 9 ports of the operational amplifier chip TL084；It is described
The left end of slide rheostat R26 is connected with 9 ports of the operational amplifier chip TL084, right end and intermediate one end with it is described
8 ports of operational amplifier chip TL084 are connected；8 ports of the operational amplifier chip TL084 and the operational amplifier
13 ports of chip TL084 are connected；13 ports of the operational amplifier chip TL084 and the operational amplifier chip
14 ports of TL084 are connected；One end of the capacitor C14 is connected with 14 ports of the operational amplifier chip TL084, another
End is connected with ground GND；1 port of the analogue audio frequency right channel coaxial cable output interface and the operational amplifier chip
14 ports of TL084 are connected, and 2 ports are connected in GND.
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| CN201810874483.6A CN109346167A (en) | 2018-08-03 | 2018-08-03 | An artificial intelligence-based diagnostic assistance system |
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| CN201810874483.6A CN109346167A (en) | 2018-08-03 | 2018-08-03 | An artificial intelligence-based diagnostic assistance system |
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| CN107545148A (en) * | 2017-09-30 | 2018-01-05 | 旗瀚科技有限公司 | A kind of intelligent robot diagnoses question and answer interactive system |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1230266A (en) * | 1996-07-12 | 1999-09-29 | 埃德温·C·伊利夫 | Computerized medical diagnosis and treatment consultation system with network access |
| CN203746307U (en) * | 2013-12-09 | 2014-07-30 | 昆明理工大学 | A Display Circuit of Digital Logic State |
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| CN106656363A (en) * | 2016-12-02 | 2017-05-10 | 昆明理工大学 | Parameter extraction circuit for broadcast supervision receiver and parameter extraction method thereof |
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Application publication date: 20190215 |
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