CN110652288A - Voice recognition's hypertension symptom collection and artificial intelligence analytical equipment - Google Patents
Voice recognition's hypertension symptom collection and artificial intelligence analytical equipment Download PDFInfo
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/01—Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
- A61B5/02055—Simultaneously evaluating both cardiovascular condition and temperature
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/145—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
- A61B5/14542—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue for measuring blood gases
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/316—Modalities, i.e. specific diagnostic methods
- A61B5/318—Heart-related electrical modalities, e.g. electrocardiography [ECG]
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/74—Details of notification to user or communication with user or patient ; user input means
- A61B5/746—Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/74—Details of notification to user or communication with user or patient ; user input means
- A61B5/7475—User input or interface means, e.g. keyboard, pointing device, joystick
- A61B5/749—Voice-controlled interfaces
Abstract
The invention provides a voice-recognized hypertension symptom collecting and artificial intelligence analyzing device, which comprises a body temperature monitoring sensor interface, a blood oxygen monitoring sensor interface, an electrocardio monitoring sensor interface, a blood pressure monitoring module interface, a data transmission interface, a power switch, a body temperature monitoring sensor, a blood oxygen monitoring sensor, an electrocardio monitoring sensor, a blood pressure monitoring module, a voice receiving device, a voice recognition device, a central processing device, a wireless transmission device, a mobile device, a data intelligence analyzing unit, a power control unit, a storage device and a display device, wherein the blood pressure monitoring module comprises a blood pressure monitoring sensor and a signal processing circuit, the health state of the patient after taking the hypertension medicine is monitored through each health parameter detection device, the blood pressure monitoring precision is improved through the blood pressure monitoring sensor and the signal processing circuit, and the hypertension data of the patient is mainly analyzed through the data intelligent analysis unit.
Description
Technical Field
The invention relates to the field of health monitoring, in particular to a hypertension symptom collecting and artificial intelligence analyzing device based on voice recognition.
Background
A series of achievements of the health monitoring type can quickly obtain feedback data due to convenient operation, so that the feedback data is gained to support and approve the masses, and the health monitoring is more widely developed due to the development of cloud technology and the combination of intelligent medical equipment and APP. The mobile medical equipment supported by the health monitoring application becomes more available, for example, a millet bracelet capable of being fixed on a wrist can record the number of activity steps and detect the heart rate of a user, and the like. Similar wrist products can exchange data with mobile apps in time, so that the experiencer can conveniently track and know which health problems will occur. The whole set of product service enables the experiencer to obtain more help when using the product, and the intelligent degree of the product is gradually improved.
Blood pressure is one of the most important physiological parameters reflecting the health condition of a human body. About 1.5 hundred million hypertension patients exist in China, and blood pressure monitoring is very critical to maintaining health and ensuring life quality. The existing mercury blood pressure measuring mode generally has the problems of complex operation, low reliability of measuring results, working medium leakage risk and the like, and information cannot be stored. Therefore, a convenient blood pressure monitoring method is developed, the reliability and the convenience of blood pressure measurement are improved, and the method has very important practical significance and application value.
The development of low-cost medical technology and the continuous development of mobile communication equipment bring possibility for developing a brand-new blood pressure monitoring mode. The mobile phone, as the most popular communication device in the present society, has the processing function of microcomputer and various communication modes of wireless transmission, and if it is assisted by the corresponding sensing measurement device, the mobile phone can be given the detection function. Therefore, the mobile phone medical technology is gradually developed at home and abroad, and new concepts, technologies and products are continuously emerging.
In the prior art, a device for efficiently, accurately and comprehensively monitoring the body state of a patient within a certain time after the patient takes a hypertension drug is lacked, so that the body reflection or body state change parameters of the patient after taking the hypertension drug cannot be known, and the health of the hypertension patient is not good.
Disclosure of Invention
Therefore, in order to overcome the above problems, the present invention provides a voice-recognized hypertension symptom collecting and artificial intelligence analyzing device, which comprises a body temperature monitoring sensor interface, a blood oxygen monitoring sensor interface, an electrocardiogram monitoring sensor interface, a blood pressure monitoring module interface, a data transmission interface, a power switch, a body temperature monitoring sensor, a blood oxygen monitoring sensor, an electrocardiogram monitoring sensor, a blood pressure monitoring module, a voice receiving device, a voice recognition device, a central processing unit, a wireless transmission device, a mobile device, a data intelligence analyzing unit, a power control unit, a storage device and a display device, wherein the blood pressure monitoring module comprises a blood pressure monitoring sensor and a signal processing circuit, monitors the health status of a patient after taking hypertension drugs through each health parameter detecting device, and improves the blood pressure monitoring precision through the blood pressure monitoring sensor and the signal processing circuit, and the hypertension data of the patient is mainly analyzed through the data intelligent analysis unit.
The invention provides a voice recognition hypertension symptom acquisition and artificial intelligence analysis device, which comprises a body temperature monitoring sensor interface, a blood oxygen monitoring sensor interface, an electrocardio monitoring sensor interface, a blood pressure monitoring module interface, a data transmission interface, a power switch, a body temperature monitoring sensor, a blood oxygen monitoring sensor, an electrocardio monitoring sensor, a blood pressure monitoring module, a voice receiving device, a voice recognition device, a central processing unit, a wireless transmission device, a mobile device, a data intelligence analysis unit, a power control unit, a storage device and a display device, wherein the body temperature monitoring sensor interface is connected with the blood oxygen monitoring sensor interface; the blood pressure monitoring module comprises a blood pressure monitoring sensor and a signal processing circuit.
Wherein, the body temperature monitoring sensor is used for monitoring body temperature data of a patient after taking a hypertension drug and transmitting the body temperature data to the central processing device through the body temperature monitoring sensor interface, the blood oxygen monitoring sensor is used for monitoring blood oxygen data of the patient after taking the hypertension drug and transmitting the blood oxygen data to the central processing device through the blood oxygen monitoring sensor interface, the electrocardio monitoring sensor is used for monitoring electrocardio data of the patient after taking the hypertension drug and transmitting the electrocardio data to the central processing device through the electrocardio monitoring sensor interface, the blood pressure detection module is used for monitoring blood pressure signals of the patient after taking the hypertension drug and transmitting the blood pressure signals to the central processing device through the blood pressure monitoring module interface, the output end of the voice receiving device is connected with the input end of the voice recognition device, the output end of the voice recognition device is connected with the input end of the central processing device, the central processing unit is connected with the mobile equipment through the wireless transmission device, the central processing unit is bidirectionally connected with the data intelligent analysis unit, the power supply control unit is connected with the central processing unit through the power switch, and the storage device and the display device are both connected with the central processing unit through the data transmission interface.
Wherein, the patient sends the voice for monitoring the body to the voice recognition hypertension symptom collecting and artificial intelligence analyzing device after taking the hypertension medicine, the voice receiving device transmits the received voice to the voice recognition device, the voice recognition device recognizes the object to be monitored by the patient as one of the body temperature data, the blood oxygen data, the electrocardio data and the blood pressure signal according to the received voice information, the central processing device gates the corresponding monitoring module to operate according to the voice recognition device, the central processing device transmits the received data to the mobile device through the wireless transmission device, the patient obtains the measured data through the mobile device, the central processing device transmits the received data to the data intelligence analyzing unit, the data intelligence analyzing unit analyzes the received data and transmits the analysis result to the central processing device, the central processing device transmits the received analysis result to the storage device for storage, the central processing unit transmits the received analysis result to the display device for displaying, the central processing unit transmits the received analysis result to the mobile device through the wireless transmission device, the patient triggers the power supply control unit through the power switch, and the power supply control unit controls the collection of the hypertension symptom of the voice recognition and the on or off of the artificial intelligence analysis device.
Preferably, the blood pressure monitoring module comprises a blood pressure monitoring sensor and a signal processing circuit, the blood pressure monitoring sensor is used for collecting blood pressure signals of patients after taking the hypertension drugs and transmitting the collected blood pressure signals to the signal processing circuit, and the signal processing circuit sequentially amplifies and filters the received blood pressure signals.
Preferably, the blood pressure monitoring sensor is used for collecting blood pressure signals of patients after taking hypertension drugs, the blood pressure monitoring sensor converts the collected blood pressure signals into voltage signals V0 and transmits the voltage signals V0 to the signal processing circuit, V1 is the voltage signals processed by the signal processing circuit, the signal processing circuit comprises a signal amplifying unit and a signal filtering unit, the output end of the blood pressure monitoring sensor is connected with the input end of the signal amplifying unit, the output end of the signal amplifying unit is connected with the input end of the signal filtering unit, and the output end of the signal filtering unit is connected with the input end of the central processing unit.
Preferably, the signal amplifying unit comprises an integrated operational amplifier A1, field effect transistors T1-T4, a triode T5 and resistors R1-R5.
Wherein, the output end of the blood pressure monitoring sensor is connected with the grid of a field effect tube T2, the grid of the field effect tube T1 is grounded, the drains of the field effect tube T1 and the field effect tube T2 are connected and then connected with the emitter of a triode T5, the V-end of an operational amplifier A1 is connected with a power supply-Vcc, the V + end of the operational amplifier A1 is connected with the power supply + Vcc, one end of a resistor R3 is connected with the power supply-Vcc, one end of a resistor R3 is also connected with the grid of the field effect tube T3, the other end of the resistor R3 is connected with the source of the field effect tube T3, one end of a resistor R1 and one end of a resistor R2 are connected and then connected with the drain of a field effect tube T3, the drain of the field effect tube T3 is also connected with one end of a resistor R5, the other end of the resistor R2 is connected with the inverting input end of the operational amplifier A1, the other end of the resistor R59, the other end of the resistor R1 is connected with the source electrode of the field effect transistor T1, the other end of the resistor R5 is connected with one end of the resistor R4, the other end of the resistor R4 is connected with the source electrode of the field effect transistor T4, the grid electrode of the field effect transistor T4 is connected with the base electrode of the triode T5, the drain electrode of the field effect transistor T4 is connected with + Vcc power supply, the collector electrode of the triode T5 is also connected with + Vcc power supply, and the output end of the operational amplifier A1 is connected with the input end of the signal filtering unit.
Preferably, the signal filtering unit comprises a resistor R6-R8, a capacitor C1-C3 and an integrated operational amplifier A2.
The output end of the signal amplification unit is connected with one end of a resistor R6, one end of a capacitor C3 is grounded, the other end of a resistor R6 is connected with the other end of a capacitor C3, the other end of a resistor R6 is further connected with one end of a resistor R7, the other end of a resistor R7 is connected with one end of a resistor R8, the other end of a resistor R7 is connected with one end of a capacitor C1, one end of a capacitor C2 is grounded, the other end of a capacitor C2 is connected with the other end of a resistor R8, the other end of a resistor R8 is further connected with the non-inverting input end of an operational amplifier A2, the other end of a capacitor C1 is connected with the inverting input end of the operational amplifier A2, the other end of a capacitor C1 is further connected with the output end of the operational amplifier A2, the other end of a capacitor C1 is connected with the input end.
Preferably, the central processing device transmits the received data to the intelligent data analysis unit, and the intelligent data analysis unit analyzes the received data and transmits the analysis result to the central processing device.
The intelligent data analysis unit is used for comparing the received body temperature data with the standard body temperature range, if the body temperature data is not in the standard body temperature range, the intelligent data analysis unit sends out an abnormal body temperature warning signal to the central processing unit, and the central processing unit transmits the abnormal body temperature warning signal to the mobile equipment through the wireless transmission device; the data intelligent analysis unit stores a standard blood oxygen range, if the data intelligent analysis unit compares the received blood oxygen data with the standard blood oxygen range, if the blood oxygen data is not in the standard blood oxygen range, the data intelligent analysis unit sends out a blood oxygen abnormity warning signal to the central processing unit, and the central processing unit transmits the blood oxygen abnormity warning signal to the mobile equipment through the wireless transmission device; the data intelligent analysis unit stores a standard electrocardio range, if the data intelligent analysis unit compares the received electrocardio data with the standard electrocardio range, if the electrocardio data is not in the standard electrocardio range, the data intelligent analysis unit sends an electrocardio abnormity warning signal to the central processing device, and the central processing device transmits the electrocardio abnormity warning signal to the mobile equipment through the wireless transmission device.
The intelligent data analysis unit analyzes and processes the received blood pressure signals and extracts frequency characteristic values and amplitude characteristic values of the blood pressure data, a standard frequency range and a standard amplitude range are stored in the intelligent data analysis unit, if the frequency characteristic values of the blood pressure signals received by the intelligent data analysis unit are not in the standard frequency range or the amplitude characteristic values are not in the standard amplitude range, the intelligent data analysis unit sends blood pressure abnormity warning signals to the central processing unit, and the central processing unit transmits the blood pressure abnormity warning signals to the mobile equipment through the wireless transmission device.
Preferably, the data intelligent analysis unit analyzes and processes the received blood pressure signal, and extracts a frequency characteristic value and an amplitude characteristic value of the blood pressure data, and the steps are as follows:
the method comprises the following steps: segmenting the blood pressure signal collected in the time T according to a preset sampling time period, wherein the time of the sampling time period is the same, the time T is divided into n sampling time periods, and the blood pressure signal in the first time period is
The blood pressure signal in the second time period is… … the nth time period has the blood pressure signal of
；XnIs the amplitude in the nth time period, wnIs the frequency in the nth time period;
step two: synthesizing blood pressure information in T timeNumber (C)
X is the amplitude characteristic value of the blood pressure signal in the synthesis T time, w is the frequency characteristic value of the amplitude of the blood pressure signal in the synthesis T time, then,
step three: the blood pressure signal
The frequency superposition is carried out, and then the frequency superposition is carried out,
；
step four: the characteristic parameters are obtained, if any,
preferably, the mobile device is a handset of the patient.
Compared with the prior art, the invention has the following beneficial effects:
(1) the invention provides a voice-recognized hypertension symptom collecting and artificial intelligence analyzing device, which comprises a body temperature monitoring sensor interface, a blood oxygen monitoring sensor interface, an electrocardio monitoring sensor interface, a blood pressure monitoring module interface, a data transmission interface, a power switch, a body temperature monitoring sensor, a blood oxygen monitoring sensor, an electrocardio monitoring sensor, a blood pressure monitoring module, a voice receiving device, a voice recognition device, a central processing device, a wireless transmission device, a mobile device, a data intelligence analyzing unit, a power control unit, a storage device and a display device, wherein the blood pressure monitoring module comprises a blood pressure monitoring sensor and a signal processing circuit, the health state of a patient after taking hypertension drugs is monitored through each health parameter detecting device, the blood pressure monitoring precision is improved through the blood pressure monitoring sensor and the signal processing circuit, and the hypertension data of the patient is mainly analyzed through the data intelligent analysis unit.
(2) The invention also has the advantages that the signal amplification unit only has the drift of 0.7 mu V/DEG C, the offset within 2 mu V, the bias current of 100pA and the noise of 2.05nV within a broadband from 0.1Hz to 10Hz, and the signal filtering unit carries out filtering processing on the amplified voltage signal, thereby greatly improving the accuracy of blood pressure detection.
Drawings
FIG. 1 is a block diagram of a voice recognition hypertension symptom collecting and artificial intelligence analyzing apparatus according to the present invention;
FIG. 2 is a schematic diagram of a voice-recognized hypertension symptom gathering and artificial intelligence analysis apparatus according to the present invention;
fig. 3 is a circuit diagram of a signal processing circuit according to the present invention.
Detailed Description
The hypertension symptom collecting and artificial intelligence analyzing device based on speech recognition of the present invention will be described in detail with reference to the accompanying drawings and embodiments.
As shown in fig. 1-2, the voice-recognized hypertension symptom collecting and artificial intelligence analyzing apparatus provided by the present invention includes a body temperature monitoring sensor interface 1, a blood oxygen monitoring sensor interface 2, an electrocardiograph monitoring sensor interface 3, a blood pressure monitoring module interface 4, a data transmission interface 5, a power switch 6, a body temperature monitoring sensor, a blood oxygen monitoring sensor, an electrocardiograph monitoring sensor, a blood pressure monitoring module, a voice receiving apparatus, a voice recognition apparatus, a central processing apparatus, a wireless transmission apparatus, a mobile device, a data intelligence analyzing unit, a power control unit, a storage apparatus and a display apparatus; the blood pressure monitoring module comprises a blood pressure monitoring sensor and a signal processing circuit.
Wherein, the body temperature monitoring sensor is used for monitoring the body temperature data of the patient after taking the hypertension drug and transmitting the body temperature data to the central processing device through the body temperature monitoring sensor interface 1, the blood oxygen monitoring sensor is used for monitoring the blood oxygen data of the patient after taking the hypertension drug and transmitting the blood oxygen data to the central processing device through the blood oxygen monitoring sensor interface 2, the electrocardio monitoring sensor is used for monitoring the electrocardio data of the patient after taking the hypertension drug and transmitting the electrocardio data to the central processing device through the electrocardio monitoring sensor interface 3, the blood pressure detection module is used for monitoring the blood pressure signal of the patient after taking the hypertension drug and transmitting the blood pressure signal to the central processing device through the blood pressure monitoring module interface 4, the output end of the voice receiving device is connected with the input end of the voice recognition device, the output end of the voice recognition device is connected with the input end of the central processing device, the central processing unit is connected with the mobile equipment through a wireless transmission device, the central processing unit is bidirectionally connected with the data intelligent analysis unit, the power supply control unit is connected with the central processing unit through a power switch 6, and the storage device and the display device are both connected with the central processing unit through a data transmission interface 5.
Wherein, the patient sends the voice for monitoring the body to the voice recognition hypertension symptom collecting and artificial intelligence analyzing device after taking the hypertension medicine, the voice receiving device transmits the received voice to the voice recognition device, the voice recognition device recognizes the object to be monitored by the patient as one of the body temperature data, the blood oxygen data, the electrocardio data and the blood pressure signal according to the received voice information, the central processing device gates the corresponding monitoring module to operate according to the voice recognition device, the central processing device transmits the received data to the mobile device through the wireless transmission device, the patient obtains the measured data through the mobile device, the central processing device transmits the received data to the data intelligence analyzing unit, the data intelligence analyzing unit analyzes the received data and transmits the analysis result to the central processing device, the central processing device transmits the received analysis result to the storage device for storage, the central processing unit transmits the received analysis result to the display device for displaying, the central processing unit transmits the received analysis result to the mobile device through the wireless transmission device, the patient triggers the power supply control unit through the power switch 6, and the power supply control unit controls the collection of the hypertension symptom of the voice recognition and the on or off of the artificial intelligence analysis device.
In the above embodiment, the voice-recognized hypertension symptom collecting and artificial intelligence analyzing apparatus provided by the present invention comprises a body temperature monitoring sensor interface 1, a blood oxygen monitoring sensor interface 2, an electrocardiograph monitoring sensor interface 3, a blood pressure monitoring module interface 4, a data transmission interface 5, a power switch 6, a body temperature monitoring sensor, a blood oxygen monitoring sensor, an electrocardiograph monitoring sensor, a blood pressure monitoring module, a voice receiving device, a voice recognition device, a central processing device, a wireless transmission device, a mobile device, a data intelligence analyzing unit, a power control unit, a storage device and a display device, wherein the blood pressure monitoring module comprises a blood pressure monitoring sensor and a signal processing circuit, the health status of a patient after taking a hypertension drug is monitored by each health parameter detection device, and the blood pressure monitoring precision is improved by the blood pressure monitoring sensor and the signal processing circuit, and the hypertension data of the patient is mainly analyzed through the data intelligent analysis unit.
Furthermore, the body temperature monitoring sensor interface 1, the blood oxygen monitoring sensor interface 2, the electrocardio monitoring sensor interface 3, the blood pressure monitoring module interface 4, the data transmission interface 5, the power switch 6 and the display device (not shown in the figure) are all arranged on the shell of the voice recognition hypertension symptom collecting and artificial intelligence analyzing device, and the voice receiving device, the voice recognition device, the central processing unit, the wireless transmission device, the data intelligence analyzing unit, the power control unit and the storage device are all arranged in the shell of the voice recognition hypertension symptom collecting and artificial intelligence analyzing device.
Furthermore, when the patient uses the voice recognition hypertension symptom collecting and artificial intelligence analyzing device, the body temperature monitoring sensor is firstly connected to the body temperature monitoring sensor interface 1, the blood oxygen monitoring sensor is connected to the blood oxygen monitoring sensor interface 2, the electrocardio monitoring sensor is connected to the electrocardio monitoring sensor interface 3, and the blood pressure monitoring sensor is connected with the signal processing circuit and then connected with the blood pressure monitoring module interface 4.
Further, the patient performs the on/off operation of the voice-recognized hypertension symptom collecting and artificial intelligence analyzing apparatus provided by the present invention by pressing the power switch 6.
Furthermore, the blood pressure monitoring module comprises a blood pressure monitoring sensor and a signal processing circuit, the blood pressure monitoring sensor is used for collecting blood pressure signals of patients after taking the hypertension drugs and transmitting the collected blood pressure signals to the signal processing circuit, and the signal processing circuit sequentially amplifies and filters the received blood pressure signals.
Furthermore, after the patient takes the hypertension drug, the patient sends a voice for body monitoring to the hypertension symptom collecting and artificial intelligence analyzing device through voice recognition, the voice receiving device transmits the received voice to the voice recognition device, the voice recognition device recognizes that an object to be monitored by the patient is one of body temperature data, blood oxygen data, electrocardiogram data and blood pressure signals according to the received voice information, for example, the patient sends a voice signal of 'body temperature' or 'temperature', the voice recognition device receives the voice signal, correspondingly converts the voice signal into a first trigger signal, transmits the first trigger signal to the central processing device, and the central processing device gates the body temperature monitoring sensor interface 1 after receiving the first trigger signal; the patient sends out a voice signal 'blood oxygen' which is received by the voice recognition device, the voice recognition device correspondingly converts the voice signal into a second trigger signal and transmits the second trigger signal to the central processing unit, and the central processing unit gates the blood oxygen monitoring sensor interface 2 after receiving the second trigger signal; the patient sends out an electrocardio voice signal, the voice recognition device receives the voice signal, correspondingly converts the voice signal into a third trigger signal and transmits the third trigger signal to the central processing device, and the central processing device gates the electrocardio monitoring sensor interface 3 after receiving the third trigger signal; the patient sends a voice signal 'blood pressure', the voice recognition device receives the voice signal, correspondingly converts the voice signal into a fourth trigger signal and transmits the fourth trigger signal to the central processing device, and the central processing device gates the blood pressure monitoring module interface 5 after receiving the fourth trigger signal.
As shown in fig. 3, the blood pressure monitoring sensor is used for collecting blood pressure signals of a patient after taking a hypertension drug, the blood pressure monitoring sensor converts the collected blood pressure signals into voltage signals V0 and transmits the voltage signals V0 to the signal processing circuit, V1 is the voltage signals processed by the signal processing circuit, the signal processing circuit comprises a signal amplifying unit and a signal filtering unit, the output end of the blood pressure monitoring sensor is connected with the input end of the signal amplifying unit, the output end of the signal amplifying unit is connected with the input end of the signal filtering unit, and the output end of the signal filtering unit is connected with the input end of the central processing unit.
Furthermore, the signal amplification unit comprises an integrated operational amplifier A1, field effect transistors T1-T4, a triode T5 and resistors R1-R5.
Wherein, the output end of the blood pressure monitoring sensor is connected with the grid of a field effect tube T2, the grid of the field effect tube T1 is grounded, the drains of the field effect tube T1 and the field effect tube T2 are connected and then connected with the emitter of a triode T5, the V-end of an operational amplifier A1 is connected with a power supply-Vcc, the V + end of the operational amplifier A1 is connected with the power supply + Vcc, one end of a resistor R3 is connected with the power supply-Vcc, one end of a resistor R3 is also connected with the grid of the field effect tube T3, the other end of the resistor R3 is connected with the source of the field effect tube T3, one end of a resistor R1 and one end of a resistor R2 are connected and then connected with the drain of a field effect tube T3, the drain of the field effect tube T3 is also connected with one end of a resistor R5, the other end of the resistor R2 is connected with the inverting input end of the operational amplifier A1, the other end of the resistor R59, the other end of the resistor R1 is connected with the source electrode of the field effect transistor T1, the other end of the resistor R5 is connected with one end of the resistor R4, the other end of the resistor R4 is connected with the source electrode of the field effect transistor T4, the grid electrode of the field effect transistor T4 is connected with the base electrode of the triode T5, the drain electrode of the field effect transistor T4 is connected with + Vcc power supply, the collector electrode of the triode T5 is also connected with + Vcc power supply, and the output end of the operational amplifier A1 is connected with the input end of the signal filtering unit.
Furthermore, the signal filtering unit comprises resistors R6-R8, capacitors C1-C3 and an integrated operational amplifier A2.
The output end of the signal amplification unit is connected with one end of a resistor R6, one end of a capacitor C3 is grounded, the other end of a resistor R6 is connected with the other end of a capacitor C3, the other end of a resistor R6 is further connected with one end of a resistor R7, the other end of a resistor R7 is connected with one end of a resistor R8, the other end of a resistor R7 is connected with one end of a capacitor C1, one end of a capacitor C2 is grounded, the other end of a capacitor C2 is connected with the other end of a resistor R8, the other end of a resistor R8 is further connected with the non-inverting input end of an operational amplifier A2, the other end of a capacitor C1 is connected with the inverting input end of the operational amplifier A2, the other end of a capacitor C1 is further connected with the output end of the operational amplifier A2, the other end of a capacitor C1 is connected with the input end.
In the above embodiment, the noise of the signal processing circuit is within 2.05nV, and the drift is 0.7 μ V/deg.c, and the dc offset and the drift of the integrated operational amplifier a1 do not affect the overall offset of the circuit, so that the circuit has extremely low offset and drift.
The signal amplification unit provided by the invention is a high-impedance input amplifier, has a high common-mode rejection ratio and a low temperature drift, and can effectively amplify the signal of the blood pressure monitoring sensor.
The FET T1 and the FET T2 are differential pair transistors, the FET T3 is a constant current source, the FET T3 is used for improving the common mode rejection ratio of the input stage, the FET T4 is also a constant current source, it is used for making the voltage of the two ends of the resistor R5 constant, thus can make the source drain voltage of the FET T1 and the FET T2 constant, the reverse leakage current Ig between the grid and the source of the FET and the source drain voltage U constantDSThe characteristic curves between indicate that the reverse leakage current Ig is along with the source-drain voltage UDSIs increased exponentially in order to make I in the same phase input voltage rangeDThe source-drain voltage U of the differential pair transistor formed by the FET T1 and the FET T2 is kept constantDSRemains unchanged due to the difference between FET T1 and FET T2The dynamic tube and the transistor adopt a constant bias current measure, so that the input stage has good common mode rejection characteristics in a relatively wide in-phase input voltage range.
In the signal amplifying unit provided by the invention, the positive-side in-phase input voltage range of the input stage is limited by the constant current range of the constant current source formed by the field-effect tube T4, and the negative-side in-phase input voltage range is limited by the constant current range of the constant current source formed by the field-effect tube T3. Therefore, in order to expand the range of the in-phase input voltage, it is necessary to select the appropriate fet T3 and fet T4 for the specific test, and the fet T3 and fet T4 use fets with small pinch-off voltage,
then the process of the first step is carried out,
u for selecting FET T1 and FET T2DS3V, resistance R1= resistance R2=20k Ω, then
For the signal amplification unit provided by the invention, a linear component with large in-phase input voltage range, large output amplitude, high common mode rejection ratio, small offset voltage temperature coefficient and high open loop gain is selected, and 5G24 is adopted during testing.
Then there is a change in the number of,
the formula can be obtained as follows:
let R1= R2= R, gm1=gm2=gmAnd Rcm is the source common equivalent resistance, the voltage gain is
Common-mode gain:
common mode rejection ratio:
in specific tests, in order to improve the common mode rejection ratio, in addition to increasing Rcm, g needs to be increased as much as possiblem1、gm2The same is true.
In the signal filtering unit, the roll frequency is 60dB per decade, and in the specific test, R6= R7= R8 is selected, so that the filtering unit can effectively filter the signal processed by the signal amplifying unit, and the accuracy of the sensor signal is greatly improved.
The signal amplifying unit only has 0.7 muV/DEG C drift, 2 muV offset, 100pA bias current and 2.05nV noise in a 0.1Hz to 10Hz broadband, and the signal filtering unit carries out filtering processing on the amplified voltage signal, so that the accuracy of blood pressure test is greatly improved.
Furthermore, the central processing device transmits the received data to the intelligent data analysis unit, and the intelligent data analysis unit analyzes the received data and transmits the analysis result to the central processing device.
The intelligent data analysis unit is used for comparing the received body temperature data with the standard body temperature range, if the body temperature data is not in the standard body temperature range, the intelligent data analysis unit sends out an abnormal body temperature warning signal to the central processing unit, and the central processing unit transmits the abnormal body temperature warning signal to the mobile equipment through the wireless transmission device; the data intelligent analysis unit stores a standard blood oxygen range, if the data intelligent analysis unit compares the received blood oxygen data with the standard blood oxygen range, if the blood oxygen data is not in the standard blood oxygen range, the data intelligent analysis unit sends out a blood oxygen abnormity warning signal to the central processing unit, and the central processing unit transmits the blood oxygen abnormity warning signal to the mobile equipment through the wireless transmission device; the intelligent data analysis unit stores a standard electrocardio range, if the intelligent data analysis unit compares the received electrocardio data with the standard electrocardio range, and if the electrocardio data is not in the standard electrocardio range, the intelligent data analysis unit sends an electrocardio abnormity warning signal to the central processing device, and the central processing device transmits the electrocardio abnormity warning signal to the mobile equipment through the wireless transmission device;
the intelligent data analysis unit analyzes and processes the received blood pressure signals and extracts frequency characteristic values and amplitude characteristic values of the blood pressure data, a standard frequency range and a standard amplitude range are stored in the intelligent data analysis unit, if the frequency characteristic values of the blood pressure signals received by the intelligent data analysis unit are not in the standard frequency range or the amplitude characteristic values are not in the standard amplitude range, the intelligent data analysis unit sends blood pressure abnormity warning signals to the central processing unit, and the central processing unit transmits the blood pressure abnormity warning signals to the mobile equipment through the wireless transmission device.
Furthermore, the intelligent data analysis unit analyzes and processes the received blood pressure signal and extracts the frequency characteristic value and the amplitude characteristic value of the blood pressure data, and the steps are as follows:
the method comprises the following steps: segmenting the blood pressure signal collected in the time T according to a preset sampling time period, wherein the time of the sampling time period is the same, the time T is divided into n sampling time periods, and the blood pressure signal in the first time period isThe blood pressure signal in the second time period is
… … the nth time period has the blood pressure signal of
；XnIs the amplitude in the nth time period, wnIs the frequency in the nth time period;
step two: synthesizing blood pressure signals over T timeX is the amplitude characteristic value of the blood pressure signal in the synthesis T time, w is the frequency characteristic value of the amplitude of the blood pressure signal in the synthesis T time, then,
step three: the blood pressure signalThe frequency superposition is carried out, and then the frequency superposition is carried out,
step four: the characteristic parameters are obtained, if any,
still further, the mobile device is a handset of the patient.
This written description uses examples to disclose the disclosure, including the best mode, and also to enable any person skilled in the art to practice the disclosure, including making and using any devices or systems and performing any incorporated methods. The patentable scope of the invention is defined by the claims, and may include other examples that occur to those skilled in the art. Such other examples are intended to be within the scope of the claims if they include structural elements that do not differ from the literal language of the claims, or if they include equivalent structural elements with insubstantial differences from the literal languages of the claims.
Claims (8)
1. The device for collecting and artificially intelligently analyzing the hypertension symptoms through voice recognition is characterized by comprising a body temperature monitoring sensor interface (1), a blood oxygen monitoring sensor interface (2), an electrocardio monitoring sensor interface (3), a blood pressure monitoring module interface (4), a data transmission interface (5), a power switch (6), a body temperature monitoring sensor, a blood oxygen monitoring sensor, an electrocardio monitoring sensor, a blood pressure monitoring module, a voice receiving device, a voice recognition device, a central processing unit, a wireless transmission device, mobile equipment, a data intelligent analysis unit, a power control unit, a storage device and a display device; the blood pressure monitoring module comprises a blood pressure monitoring sensor and a signal processing circuit;
the body temperature monitoring sensor is used for monitoring body temperature data of a patient after taking a hypertension drug and transmitting the body temperature data to the central processing device through the body temperature monitoring sensor interface (1), the blood oxygen monitoring sensor is used for monitoring blood oxygen data of the patient after taking the hypertension drug and transmitting the blood oxygen data to the central processing device through the blood oxygen monitoring sensor interface (2), the electrocardio monitoring sensor is used for monitoring electrocardio data of the patient after taking the hypertension drug and transmitting the electrocardio data to the central processing device through the electrocardio monitoring sensor interface (3), the blood pressure detection module is used for monitoring a blood pressure signal of the patient after taking the hypertension drug and transmitting the blood pressure signal to the central processing device through the blood pressure monitoring module interface (4), and the output end of the voice receiving device is connected with the input end of the voice recognition device, the output end of the voice recognition device is connected with the input end of the central processing device, the central processing device is connected with the mobile equipment through the wireless transmission device, the central processing device is bidirectionally connected with the data intelligent analysis unit, the power supply control unit is connected with the central processing device through the power switch (6), and the storage device and the display device are both connected with the central processing device through the data transmission interface (5);
wherein, the patient sends voice for monitoring body to the voice recognition hypertension symptom collecting and artificial intelligence analyzing device after taking hypertension medicine, the voice receiving device transmits the received voice to the voice recognition device, the voice recognition device recognizes the object to be monitored by the patient as one of body temperature data, blood oxygen data, electrocardio data and blood pressure signal according to the received voice information, the central processing device gates corresponding monitoring module according to the voice recognition device to operate, the central processing device transmits the received data to the mobile device through the wireless transmission device, the patient obtains the measured data through the mobile device, the central processing device transmits the received data to the data intelligence analyzing unit, the data intelligence analyzing unit analyzes the received data, and transmitting the analysis result to the central processing unit, transmitting the received analysis result to the storage device for storage by the central processing unit, transmitting the received analysis result to the display device for display by the central processing unit, transmitting the received analysis result to the mobile equipment by the central processing unit through the wireless transmission device, triggering the power supply control unit by the patient through the power switch (6), and controlling the on or off of the voice recognition hypertension symptom collection and artificial intelligence analysis device by the power supply control unit.
2. The voice-recognition hypertension symptom collecting and artificial intelligence analyzing device according to claim 1, wherein the blood pressure monitoring module comprises a blood pressure monitoring sensor and a signal processing circuit, the blood pressure monitoring sensor is used for collecting blood pressure signals of the patient after taking the hypertension drug and transmitting the collected blood pressure signals to the signal processing circuit, and the signal processing circuit sequentially performs signal amplification and signal filtering on the received blood pressure signals.
3. The voice recognition hypertension symptom collecting and artificial intelligence analyzing apparatus according to claim 1 or 2, wherein the blood pressure monitoring sensor is configured to collect a blood pressure signal after the patient takes the hypertension drug, the blood pressure monitoring sensor converts the collected blood pressure signal into a voltage signal V0 and transmits the voltage signal V0 to the signal processing circuit, V1 is the voltage signal processed by the signal processing circuit, the signal processing circuit includes a signal amplifying unit and a signal filtering unit, an output end of the blood pressure monitoring sensor is connected to an input end of the signal amplifying unit, an output end of the signal amplifying unit is connected to an input end of the signal filtering unit, and an output end of the signal filtering unit is connected to an input end of the central processing apparatus.
4. The voice recognition hypertension symptom collecting and artificial intelligence analyzing apparatus according to claim 3, wherein the signal amplifying unit comprises an integrated operational amplifier A1, a field effect transistor T1-T4, a triode T5 and a resistor R1-R5;
wherein, the output end of the blood pressure monitoring sensor is connected with the grid of a field effect tube T2, the grid of the field effect tube T1 is grounded, the drains of the field effect tube T1 and the field effect tube T2 are connected and then connected with the emitter of a triode T5, the V-end of an operational amplifier A1 is connected with a power supply-Vcc, the V + end of the operational amplifier A1 is connected with the power supply + Vcc, one end of a resistor R3 is connected with the power supply-Vcc, one end of a resistor R3 is also connected with the grid of the field effect tube T3, the other end of the resistor R3 is connected with the source of the field effect tube T3, one end of a resistor R1 is connected with one end of a resistor R2 and then connected with the drain of a field effect tube T3, the drain of the field effect tube T3 is also connected with one end of a resistor R5, the other end of the resistor R2 is connected with the inverting input end of the operational amplifier A1, the other end of the resistor R2, the other end of the resistor R1 is connected with the source electrode of the field effect transistor T1, the other end of the resistor R5 is connected with one end of the resistor R4, the other end of the resistor R4 is connected with the source electrode of the field effect transistor T4, the grid electrode of the field effect transistor T4 is connected with the base electrode of the triode T5, the drain electrode of the field effect transistor T4 is connected with + Vcc power supply, the collector electrode of the triode T5 is also connected with + Vcc power supply, and the output end of the operational amplifier A1 is connected with the input end of the signal filtering unit.
5. The voice-recognized hypertension symptom collecting and artificial intelligence analyzing apparatus according to claim 4, wherein the signal filtering unit comprises resistors R6-R8, capacitors C1-C3 and an integrated operational amplifier A2;
the output end of the signal amplification unit is connected with one end of a resistor R6, one end of a capacitor C3 is grounded, the other end of a resistor R6 is connected with the other end of a capacitor C3, the other end of a resistor R6 is further connected with one end of a resistor R7, the other end of a resistor R7 is connected with one end of a resistor R8, the other end of a resistor R7 is connected with one end of a capacitor C1, one end of a capacitor C2 is grounded, the other end of a capacitor C2 is connected with the other end of a resistor R8, the other end of a resistor R8 is further connected with the non-inverting input end of an operational amplifier A2, the other end of a capacitor C1 is connected with the inverting input end of the operational amplifier A2, the other end of a capacitor C1 is further connected with the output end of the operational amplifier A2, the other end of a capacitor C1 is connected with the input end of the central processing.
6. The voice-recognized hypertension symptom collecting and artificial intelligence analyzing apparatus according to claim 1, wherein the central processing apparatus transmits the received data to the data intelligence analyzing unit, and the data intelligence analyzing unit analyzes the received data and transmits the analysis result to the central processing apparatus;
the intelligent data analysis unit is used for comparing the received body temperature data with the standard body temperature range, if the body temperature data is not in the standard body temperature range, the intelligent data analysis unit sends out an abnormal body temperature warning signal to the central processing unit, and the central processing unit transmits the abnormal body temperature warning signal to the mobile equipment through the wireless transmission device; a standard blood oxygen range is stored in the data intelligent analysis unit, if the data intelligent analysis unit compares the received blood oxygen data with the standard blood oxygen range, if the blood oxygen data is not in the standard blood oxygen range, the data intelligent analysis unit sends out a blood oxygen abnormality warning signal to the central processing unit, and the central processing unit transmits the blood oxygen abnormality warning signal to the mobile equipment through the wireless transmission device; a standard electrocardio range is stored in the intelligent data analysis unit, if the intelligent data analysis unit compares the received electrocardio data with the standard electrocardio range, if the electrocardio data is not in the standard electrocardio range, the intelligent data analysis unit sends an abnormal electrocardio warning signal to the central processing device, and the central processing device transmits the abnormal electrocardio warning signal to the mobile equipment through the wireless transmission device;
the intelligent data analysis unit analyzes and processes the received blood pressure signals and extracts frequency characteristic values and amplitude characteristic values of the blood pressure data, a standard frequency range and a standard amplitude range are stored in the intelligent data analysis unit, if the frequency characteristic values of the blood pressure signals received by the intelligent data analysis unit are not in the standard frequency range or the amplitude characteristic values are not in the standard amplitude range, the intelligent data analysis unit sends blood pressure abnormity warning signals to the central processing unit, and the central processing unit transmits the blood pressure abnormity warning signals to the mobile equipment through the wireless transmission device.
7. The apparatus for collecting and artificial intelligence analyzing hypertension symptoms through voice recognition according to claim 6, wherein the data intelligence analyzing unit analyzes and processes the received blood pressure signals and extracts the frequency characteristic value and the amplitude characteristic value of the blood pressure data, and the steps are as follows:
the method comprises the following steps: segmenting the blood pressure signal collected in the time T according to a preset sampling time period, wherein the time of the sampling time period is the same, the time T is divided into n sampling time periods, and the blood pressure signal in the first time period is
The blood pressure signal in the second time period is
… … the nth time period has the blood pressure signal of；XnIs the amplitude in the nth time period, wnIs the frequency in the nth time period;
step two: synthesizing blood pressure signals over T timeX is the amplitude characteristic value of the blood pressure signal in the synthesis T time, w is the frequency characteristic value of the amplitude of the blood pressure signal in the synthesis T time, then,
step three: the blood pressure signal
The frequency superposition is carried out, and then the frequency superposition is carried out,
step four: the characteristic parameters are obtained, if any,
8. the speech recognized hypertension symptom gathering and artificial intelligence analysis apparatus of any one of claims 1-7, wherein the mobile device is a mobile phone of the patient.
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