CN116807420A - Evaluation system and method for arteriovenous internal fistula blood vessel - Google Patents
Evaluation system and method for arteriovenous internal fistula blood vessel Download PDFInfo
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- 210000004204 blood vessel Anatomy 0.000 title claims abstract description 116
- 206010016717 Fistula Diseases 0.000 title claims abstract description 38
- 230000003890 fistula Effects 0.000 title claims abstract description 38
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- 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
- A61B5/02007—Evaluating blood vessel condition, e.g. elasticity, compliance
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- A—HUMAN NECESSITIES
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- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
- A61B5/6802—Sensor mounted on worn items
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- A—HUMAN NECESSITIES
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- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
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- A61B5/7235—Details of waveform analysis
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Abstract
The application discloses an evaluation system and method of an arteriovenous internal fistula vessel, and relates to the field of neural networks. Comprising the following steps: the wearable voiceprint acquisition end is worn on an fistulization part of a patient; voiceprint cloud platform connects wearable voiceprint collection end, and it includes: the vascular parameter mapping database is used for storing a plurality of training data sets and a neural network model; the analysis unit inputs the voiceprint information into the neural network model to obtain corresponding vascular parameters; the comparison unit is used for comparing the blood vessel parameter with a preset blood vessel parameter threshold value and outputting the blood vessel parameter and corresponding health prompt or alarm information; and the mobile terminal acquires and displays the blood vessel parameters, the health information and the alarm information. Has the following beneficial effects: the real-time evaluation of the health state of the vascular parameters of the arteriovenous fistula of the patient is completed through the neural network model, and the survival probability of the arteriovenous fistula vascular patient is improved.
Description
The application is a divisional application, and the application number of the original application is: 202010266727.X, filing date: the application is as follows: an evaluation system and method for arteriovenous internal fistula.
Technical Field
The application relates to the field of neural networks, in particular to an evaluation system and an evaluation method of an arteriovenous internal fistula vessel.
Background
The passage between an artery and a vein is called an arteriovenous fistula, which is a procedure in which an own artery and an adjacent superficial vein are sutured together by subcutaneous incision, so that arterial blood can directly flow into the vein. The arteriovenous internal fistula is used for maintaining the life line of a hemodialysis patient, and maintaining the good function of the arteriovenous internal fistula can improve the hemodialysis treatment quality of the uremic patient and prolong the survival time of the patient.
Therefore, a simple and easy wearable timely evaluation technology of arteriovenous internal fistula is clinically needed, and accurate evaluation on arteriovenous internal fistula vascular functions is provided for doctors, so that various complications of arteriovenous internal fistula can be timely and accurately treated and prevented.
In order to solve the problems, the application provides an evaluation system of arteriovenous internal fistula vessels, which is used for efficiently and real-timely monitoring the vessel parameters of arteriovenous internal fistula vessels acquired by a voiceprint sensor, and completing the real-time evaluation of the health state of the vessel parameters of the arteriovenous internal fistula vessels of a patient through a neural network model, so that the survival probability of the arteriovenous internal fistula vessel patient is improved. The patient end or doctor end is connected with the evaluation system of the arteriovenous internal fistula vessel, and a doctor or patient can check or accept an evaluation report in real time through the mobile end, so that the system is convenient and practical.
Disclosure of Invention
In order to solve the above problems, the present application provides an evaluation system for arteriovenous internal fistula, comprising:
the wearable voiceprint acquisition end is worn at an fistulization part of a patient and is used for acquiring voiceprint information of an arteriovenous internal fistula of the fistulization part in real time and outputting the voiceprint information;
voiceprint cloud platform connects wearable voiceprint collection end, voiceprint cloud platform includes:
the blood vessel parameter mapping database is used for storing a plurality of training data sets, each training data set comprises blood vessel parameters mapped by the voiceprint information and the voiceprint information, and a neural network model obtained by training according to each training data set is stored;
the analysis unit is connected with the blood vessel parameter mapping database and is used for inputting the voiceprint information into the neural network model to obtain the corresponding blood vessel parameters;
the comparison unit is connected with the analysis unit and is used for comparing the blood vessel parameter with a preset blood vessel parameter threshold value, outputting the blood vessel parameter and a corresponding health prompt when the blood vessel parameter is smaller than the blood vessel parameter threshold value, and outputting the blood vessel parameter and a corresponding alarm message when the blood vessel parameter is not smaller than the blood vessel parameter threshold value;
the mobile terminal is connected with the voiceprint cloud platform and used for acquiring and displaying the blood vessel parameters, the health information and the alarm information for relevant personnel to check.
Preferably, the voiceprint cloud platform further includes an updating unit connected to the vascular parameter mapping database and the analyzing unit, respectively, for storing the vascular parameters obtained by analyzing the voiceprint information and the neural network model as the training data set into the vascular parameter mapping database, so as to update the vascular parameter mapping database.
Preferably, the wearable voiceprint acquisition end and the voiceprint cloud platform are in communication connection through an NB-iot or 4G network.
Preferably, the voiceprint cloud platform and the mobile terminal establish communication connection through a mobile operator network.
Preferably, the wearable voiceprint acquisition end includes:
the wearable voiceprint sensor is used for collecting voiceprint information of an arteriovenous internal fistula of the fistulization part in real time;
and the voiceprint bottom layer circuit is connected with the wearable voiceprint sensor and is used for conditioning and outputting voiceprint information.
Preferably, the conditioning includes impedance matching, and/or signal amplification, and/or noise suppression of the voiceprint information.
Preferably, the wearable voiceprint sensor includes:
an elastic arm band for wearing and attaching to the fistulization part of the patient;
the encircling sliding belt is encircling and tightly attached to the periphery of the elastic arm belt;
the voiceprint sensor is arranged on the encircling sliding belt;
the prestress tensioning belt is respectively connected with the encircling sliding belt and the voiceprint sensor, and is used for enabling the encircling sliding belt to be tightly attached to the elastic arm belt, and the voiceprint sensor can detect tension changes of the prestress tensioning belt in real time and convert the tension changes into voiceprint information.
Preferably, the voiceprint sensor is a PVDF piezoelectric film, two sides of the PVDF piezoelectric film are respectively provided with a positive electrode and a negative electrode, and the positive electrode and the negative electrode are respectively led out outwards to form an led-out positive electrode and an led-out negative electrode.
Preferably, the mobile terminal includes:
the doctor terminal is used for acquiring and displaying the blood vessel parameters, the health information and the alarm information so as to be checked by a doctor;
and/or a patient end, configured to acquire and display the blood vessel parameter, the health information and the alarm information, so as to allow the patient to check.
An evaluation method of arteriovenous internal fistula vessels is applied to an evaluation system of arteriovenous internal fistula vessels, and comprises the following steps:
step S1, collecting voiceprint information of an arteriovenous internal fistula vessel of the fistulization part in real time and outputting the voiceprint information;
s2, inputting the voiceprint information into the neural network model to obtain the corresponding vascular parameters;
step S3, comparing the blood vessel parameter with a preset blood vessel parameter threshold value,
outputting the blood vessel parameter and the corresponding health prompt if the blood vessel parameter is smaller than the blood vessel parameter threshold;
and if the blood vessel parameter is not smaller than the blood vessel parameter threshold, outputting the blood vessel parameter and corresponding alarm information.
And S4, acquiring and displaying the blood vessel parameters, the health information and the alarm information for relevant personnel to check.
Has the following beneficial effects:
the application carries out high-efficiency and real-time monitoring on the voiceprint information of the arteriovenous internal fistula blood vessel acquired by the voiceprint sensor, completes the real-time evaluation of the blood vessel parameter health state of the arteriovenous internal fistula blood vessel of the patient through the neural network model, improves the survival probability of the arteriovenous internal fistula blood vessel patient, and simultaneously, a doctor or the patient can be remotely connected with the evaluation system of the arteriovenous internal fistula blood vessel through the mobile terminal, and can check or accept the evaluation report of the blood vessel parameter in real time, thereby being convenient and practical.
Drawings
FIG. 1 is a schematic diagram of an evaluation system for arteriovenous internal fistula according to a preferred embodiment of the present application;
FIG. 2 is a complete pulse waveform diagram according to a preferred embodiment of the present application;
FIG. 3 is a diagram showing a normal pulse waveform according to a preferred embodiment of the present application;
FIG. 4 is a waveform diagram of aortic stenosis in accordance with the preferred embodiment of the present application;
FIG. 5 is a waveform diagram of aortic valve insufficiency in accordance with a preferred embodiment of the present application;
FIG. 6 is a waveform diagram of arteriosclerosis in accordance with the preferred embodiment of the present application;
FIG. 7 is a schematic diagram of a wearable voiceprint sensor according to a preferred embodiment of the present application;
fig. 8 is a flow chart of a method for evaluating an arteriovenous internal fistula according to a preferred embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
It should be noted that, without conflict, the embodiments of the present application and features of the embodiments may be combined with each other.
The application is further described below with reference to the drawings and specific examples, which are not intended to be limiting.
In order to solve the above problems, the present application provides an evaluation system for arteriovenous internal fistula, comprising:
the wearable voiceprint acquisition end 1 is worn on an fistulization part of a patient, and is used for acquiring voiceprint information of an arteriovenous fistula of the fistulization part in real time and outputting the voiceprint information;
voiceprint cloud platform 2 connects wearable voiceprint collection end 1, and voiceprint cloud platform 2 includes:
a blood vessel parameter mapping database 21, configured to store a plurality of training data sets, where each training data set includes a blood vessel parameter mapped by voiceprint information and voiceprint information, and store a neural network model obtained by training according to each training data set;
an analysis unit 22 connected to the blood vessel parameter mapping database 21 for inputting voiceprint information into the neural network model to obtain corresponding blood vessel parameters;
a comparing unit 23, connected to the analyzing unit 22, for comparing the blood vessel parameter with a preset blood vessel parameter threshold, and outputting a blood vessel parameter and a corresponding health prompt when the blood vessel parameter is smaller than the blood vessel parameter threshold, and outputting a blood vessel parameter and a corresponding alarm message when the blood vessel parameter is not smaller than the blood vessel parameter threshold;
the mobile terminal 3 is connected with the voiceprint cloud platform 3 and is used for acquiring and displaying blood vessel parameters, health information and alarm information for relevant personnel to check.
Specifically, in the embodiment, the voiceprint information of the arteriovenous fistula blood vessel collected by the wearable voiceprint sensor is efficiently and real-timely monitored, the real-time evaluation of the health state of the blood vessel parameter of the arteriovenous fistula blood vessel of the patient is completed through the neural network model, the survival probability of the arteriovenous fistula blood vessel patient is improved, and meanwhile, a doctor or the patient can be remotely connected with the arteriovenous fistula blood vessel evaluation system through the mobile terminal, and the evaluation report is checked or accepted in real time, so that the arteriovenous fistula blood vessel evaluation system is convenient and practical.
At present, the extraction of pulse conditions mainly comprises: the piezoresistive pulse sensor has the advantages that the piezoresistive pulse sensor is simple in structure, wide in dynamic range, large in influence of ambient temperature and the like, complex in manufacturing process and high in manufacturing cost; the piezomagnetic pulse sensor has simple structure, firmness, reliability and strong anti-interference performance, but has general precision and is not suitable for extracting weak pulse; the photoelectric pulse sensor has simple structure, non-contact measurement and good repeatability, but mainly detects the light transmittance of a human body, so that the photoelectric pulse sensor is mainly used for fingers and does not accord with the original diagnosis mode of traditional Chinese medicine; the microphone can be used as a pulse sensor because the pulse beat can generate an acoustic signal, has a simple structure, is not easy to be coupled with human skin, and has serious energy loss; ultrasonic Doppler is mainly used for measuring the conditions of blood flow velocity, blood vessel wall and the like, and can be used for pulse measurement, however, the equipment is expensive, the non-contact measurement is not strong in practicability; the piezoelectric pulse sensor has the advantages of simple structure, higher precision and sensitivity, passive device, no power consumption and superior performance. The application collects voiceprint information of a patient through the voiceprint sensor, preferably, the voiceprint sensor in the wearable voiceprint sensor is a piezoelectric voiceprint sensor, more preferably, a PVDF piezoelectric film, which has wide application in recent years, and is characterized by light weight, wide frequency band, large piezoelectric constant, good flexibility, high sensitivity and approaching to human body impedance, thus being used in the medical field as a medical sensor for monitoring human body vital signals. The PVDF piezoelectric film is selected as a pulse condition acquisition sensor based on excellent characteristics of the PVDF piezoelectric film.
The PVDF piezoelectric film is used as a sensor by utilizing the positive piezoelectric effect of the PVDF piezoelectric film, namely, the piezoelectric material is acted by external force in a certain direction, polarization phenomenon can be generated in the material, and charges with opposite polarities and equal magnitudes are generated on two opposite surfaces of the piezoelectric material; when the external force disappears, the device returns to the original uncharged state; the amount of charge generated by the piezoelectric effect can be determined by a piezoelectric equation. In the preparation process of the PVDF piezoelectric film, the PVDF material is required to be subjected to polarization treatment, high-temperature treatment is usually adopted in the polarization process, and an electric field is applied, and the PVDF piezoelectric film is naturally cooled, so that the consistency of the molecular dipole moment direction in the piezoelectric polymer is ensured, and the output charge and the sensitivity of the PVDF piezoelectric film are higher.
The piezoelectric matrix of the polarized PVDF piezoelectric material is as follows:
wherein d ij Is a piezoelectric strain constant matrix.
When only the electrical boundary condition is considered and the external electric field is zero, the piezoelectric equation at this time can be expressed as:
wherein D is an electrical displacement (C/m 2 ) T is stress (N/m 2 )。
When the PVDF piezoelectric sensor is stressed in the polarization direction, the stress condition is two-dimensional, and the output charge of the PVDF piezoelectric sensor can be expressed as:
Q＝(d 31 S 1 +d 32 S 2 )E PVDF A
wherein d ij Is a piezoelectric strain constant; s is S i Strain (i=1, 2); the modulus of elasticity of the PVDF piezoelectric film; a is the PVDF sensor footprint.
With intermittent contraction and relaxation of the heart, pulsations of blood pressure, blood flow velocity and blood flow, and the propagation of deformations and vibrations of the vessel wall in the vascular system, collectively referred to as pulse waves or the propagation of pulse waves in the blood vessel. Therefore, the pulse wave can better reflect the flowing condition of blood in blood vessels and the organic characteristics of cardiovascular systems, has stronger individual variability, and can acquire primary voiceprint information of arteriovenous fistula blood vessels, which is characterized by pulse waves, through the voiceprint sensor, thereby realizing monitoring information of patients. The complete pulse waveform includes several important characteristic points such as a main wave crest, a tide wave crest, a counterpulsation wave trough, a main counterpulsation rising branch, a counterpulsation falling branch and the like, as shown in fig. 2, wherein a is the main wave crest, B is the tide wave crest, C is the counterpulsation wave crest, D is the counterpulsation wave trough, OA is the main counterpulsation rising branch and DO'. The change of the curve can reflect the physiological and pathological changes of the human body, and has reference significance for the prediction and diagnosis of typical cardiovascular diseases. The pulse waveform of typical diseases is shown in fig. 3 to 6, which show cardiovascular diseases corresponding to different pulse wave waveforms, wherein fig. 3 shows normal pulse wave waveform, fig. 4 shows aortic valve stenosis waveform, fig. 5 shows aortic valve insufficiency waveform, and fig. 6 shows arteriosclerosis waveform, and cardiovascular diseases of patients can be obtained through the waveforms.
Firstly, wearing a wearable voiceprint acquisition end 1 on an fistulization part of a patient, wherein the fistulization part is generally a limb of the patient, and is used for acquiring and outputting voiceprint information of an arteriovenous fistula vessel of the fistulization part in real time, and outputting blood vessel parameters of the patient in the form of voiceprint information; voiceprint cloud platform 2 connects wearable voiceprint collection end 1, and the voiceprint information of the wearable voiceprint collection end 1 collection of remote reception, voiceprint cloud platform 2 includes: the blood vessel parameter mapping database 21 has two functions in the application, namely, one is used for storing a plurality of training data sets, each training data set comprises blood vessel parameters mapped by voiceprint information and voiceprint information, the voiceprint information and the blood vessel parameters are matched one by one and are used as training materials of a neural network model, and the other is used for storing the neural network model obtained by training according to each training data set, and establishing the neural network model for judging voiceprint information acquired in real time at a later stage; the analysis unit 22 is connected with the blood vessel parameter mapping database 21 and is used for inputting voiceprint information into the neural network model to obtain corresponding blood vessel parameters, the voiceprint information acquired by the patient is transmitted to the voiceprint cloud platform 2 through the wearable voiceprint acquisition end 1, and the analysis unit 22 is used for inputting the acquired voiceprint information into the neural network model established before for analysis; a comparing unit 23, connected to the analyzing unit 22, for comparing the blood vessel parameter with a preset blood vessel parameter threshold, and outputting a blood vessel parameter and a corresponding health prompt when the blood vessel parameter is smaller than the blood vessel parameter threshold, and outputting a blood vessel parameter and a corresponding alarm message when the blood vessel parameter is not smaller than the blood vessel parameter threshold; the mobile terminal 3 is connected with the voiceprint cloud platform 3 through a network and is used for remotely acquiring and displaying blood vessel parameters, health information and alarm information so as to be checked by related personnel, and a user can check and know the blood vessel parameters, the health information and the alarm information at any time and any place.
In the preferred embodiment of the present application, the voiceprint cloud platform 2 further includes an updating unit 24 respectively connected to the blood vessel parameter mapping database 21 and the analyzing unit 22, for storing the blood vessel parameters obtained by analyzing the voiceprint information and the neural network model as a training data set in the blood vessel parameter mapping database, so as to update the blood vessel parameter mapping database.
Specifically, in this embodiment, by setting the updating unit 24, the voiceprint information and the blood vessel parameters can be correspondingly formed into a training data set, so as to update the blood vessel parameter mapping database, and improve the judgment capability of the neural network.
In the preferred embodiment of the application, the wearable voiceprint acquisition end 1 and the voiceprint cloud platform 2 are in communication connection through an NB-iot or 4G network.
In the preferred embodiment of the present application, the voiceprint cloud platform 2 and the mobile terminal 3 establish communication connection through a mobile operator network.
In a preferred embodiment of the present application, the wearable voiceprint acquisition end 1 includes:
the wearable voiceprint sensor 11 is used for collecting voiceprint information of an arteriovenous internal fistula vessel of an fistulization part in real time;
and the voiceprint bottom layer circuit 12 is connected with the wearable voiceprint sensor 11 and is used for conditioning and outputting the voiceprint information.
Specifically, in this embodiment, the voiceprint bottom layer circuit 12 mainly includes a signal amplifying and conditioning circuit and a wireless transmission circuit, where the signal amplifying and conditioning circuit amplifies and conditions voiceprint information of an arteriovenous fistula to obtain corresponding voiceprint information that is easier to identify, and the wireless transmission circuit sends the conditioned voiceprint information to the voiceprint cloud platform 2, and preferably, the wireless transmission circuit performs information transmission through NB-iot or 4G mode.
In a preferred embodiment of the application, the conditioning includes impedance matching, and/or signal amplification, and/or noise suppression of the voiceprint information.
In a preferred embodiment of the present application, as shown in fig. 7, the wearable voiceprint sensor includes:
an elastic armband 13 for wearing and fitting to an fistulization site of a patient;
a surrounding sliding belt 14 which is arranged around and closely attached to the periphery of the elastic arm belt 13;
a voiceprint sensor 16 disposed on the encircling slider 14;
the prestress tightening belt 15 is respectively connected with the encircling sliding belt 14 and the voiceprint sensor 16, and is used for tightening and attaching the encircling sliding belt 14 to the elastic arm belt 13, and the voiceprint sensor 16 can detect the tension change of the prestress tightening belt 15 in real time and convert the tension change into voiceprint information.
Specifically, in this embodiment, the elastic arm belt 13 is tied to the to-be-detected part of the patient, then the encircling sliding belt 14 is arranged on the elastic arm belt 13, the encircling sliding belt 14 is tightly attached to the elastic arm belt 13 by the prestress tightening belt 15, and at this time, the voiceprint sensor 16 can detect the tension change of the prestress tightening belt 15 in real time and convert the tension change into the voiceprint information. Preferably, the elastic arm band 13 is made of an elastic material, and is worn on the fistulization site, so that the sensor body is stably fixed at the position to be detected, the wearing comfort is ensured on the premise of ensuring the consistency with the appearance of the arm, the elastic arm band 13 is arranged on the elastic arm band 13 in a surrounding manner by the sliding band 14, the elastic arm band 13 is tightly contacted with the elastic arm band 13, the friction force between the elastic arm band 13 and the elastic arm band is very small, the mass is very small, the shape change of the elastic arm band 13 can be automatically and rapidly adapted, and the acquisition accuracy of the voiceprint sensor 16 is improved.
In a preferred embodiment of the present application, the voiceprint sensor 16 is a PVDF piezoelectric film, two sides of the PVDF piezoelectric film are respectively provided with a positive electrode and a negative electrode, and the positive electrode and the negative electrode are respectively led out to form a led-out positive electrode 161 and a led-out negative electrode 162.
In a preferred embodiment of the present application, the mobile terminal 3 includes:
the doctor end 31 is used for acquiring and displaying blood vessel parameters, health information and alarm information for the doctor to check;
and/or the patient side 32 for acquiring and displaying blood vessel parameters, health information, and alarm information for viewing by the patient.
An evaluation method of arteriovenous internal fistula is applied to an evaluation system of arteriovenous internal fistula, as shown in fig. 8, and comprises the following steps:
step S1, an evaluation system collects and outputs voiceprint information of an arteriovenous internal fistula vessel of an fistulization part in real time;
s2, inputting voiceprint information into a neural network model by an evaluation system to obtain corresponding vascular parameters;
step S3, the evaluation system compares the blood vessel parameter with a preset blood vessel parameter threshold value:
if the blood vessel parameter is smaller than the blood vessel parameter threshold, outputting the blood vessel parameter and a corresponding health prompt;
if the blood vessel parameter is not smaller than the blood vessel parameter threshold, outputting the blood vessel parameter and corresponding alarm information;
and S4, the evaluation system acquires and displays the blood vessel parameters, the health information and the alarm information for relevant personnel to check.
The foregoing description is only illustrative of the preferred embodiments of the present application and is not to be construed as limiting the scope of the application, and it will be appreciated by those skilled in the art that equivalent substitutions and obvious variations may be made using the description and illustrations of the present application, and are intended to be included within the scope of the present application.
Claims (9)
1. An evaluation system for an arteriovenous internal fistula, comprising:
the wearable voiceprint acquisition end is worn at an fistulization part of a patient and is used for acquiring voiceprint information of an arteriovenous internal fistula of the fistulization part in real time and outputting the voiceprint information;
voiceprint cloud platform connects wearable voiceprint collection end, voiceprint cloud platform includes:
the blood vessel parameter mapping database is used for storing a plurality of training data sets, each training data set comprises blood vessel parameters mapped by the voiceprint information and the voiceprint information, and a neural network model obtained by training according to each training data set is stored;
the analysis unit is connected with the blood vessel parameter mapping database and is used for inputting the voiceprint information into the neural network model to obtain the corresponding blood vessel parameters;
the comparison unit is connected with the analysis unit and is used for comparing the blood vessel parameter with a preset blood vessel parameter threshold value, outputting the blood vessel parameter and a corresponding health prompt when the blood vessel parameter is smaller than the blood vessel parameter threshold value, and outputting the blood vessel parameter and a corresponding alarm message when the blood vessel parameter is not smaller than the blood vessel parameter threshold value;
the mobile terminal is connected with the voiceprint cloud platform and used for acquiring and displaying the blood vessel parameters, the health information and the alarm information for relevant personnel to check.
2. The system according to claim 1, wherein the voiceprint cloud platform further comprises an updating unit connected to the vascular parameter mapping database and the analyzing unit, respectively, for storing the vascular parameters obtained by analyzing the voiceprint information and the neural network model as the training data set in the vascular parameter mapping database, so as to update the vascular parameter mapping database.
3. The system of claim 1, wherein the wearable voiceprint acquisition end is communicatively coupled to the voiceprint cloud platform via an NB-iot or 4G network.
4. The system for evaluating an arteriovenous fistula according to claim 1, wherein the voiceprint cloud platform and the mobile terminal establish a communication connection through a mobile carrier network.
5. The system for evaluating an arteriovenous fistula according to claim 1, wherein the wearable voiceprint acquisition end comprises:
the wearable voiceprint sensor is used for collecting vibration signals of an arteriovenous internal fistula vessel of the fistulization part;
and the voiceprint bottom layer circuit is connected with the wearable voiceprint sensor and is used for processing the vibration signal to obtain voiceprint information.
6. The system for evaluating an arteriovenous fistula according to claim 5, wherein the wearable voiceprint sensor is a wearable piezoelectric film voiceprint sensor.
7. The system for evaluating an arteriovenous fistula according to claim 5, wherein the wearable voiceprint sensor comprises:
an elastic arm band for wearing and attaching to the fistulization part of the patient;
the encircling sliding belt is encircling and tightly attached to the elastic arm belt;
a PVDF piezoelectric film arranged on the surrounding sliding belt, wherein a positive electrode and a negative electrode are arranged on the PVDF piezoelectric film; and the prestress tensioning belt is respectively connected with the encircling sliding belt and the PVDF piezoelectric film and is used for tensioning and fitting the encircling sliding belt to the elastic arm belt.
8. The system for evaluating an arteriovenous fistula according to claim 1, wherein the mobile terminal comprises: the doctor terminal is used for acquiring and displaying the blood vessel parameters, the health information and the alarm information so as to be checked by a doctor;
and/or a patient end, configured to acquire and display the blood vessel parameter, the health information and the alarm information, so as to allow the patient to check.
9. A method for evaluating an arteriovenous internal fistula, which is applied to the system for evaluating an arteriovenous internal fistula according to any one of claims 1 to 8, and comprises:
step S1, the evaluation system acquires voiceprint information of an arteriovenous internal fistula vessel of the fistulization part in real time and outputs the voiceprint information;
step S2, the evaluation system inputs the voiceprint information into the neural network model to obtain the corresponding vascular parameters;
step S3, the evaluation system compares the blood vessel parameter with a preset blood vessel parameter threshold value:
outputting the blood vessel parameter and the corresponding health prompt if the blood vessel parameter is smaller than the blood vessel parameter threshold;
outputting the blood vessel parameter and corresponding alarm information if the blood vessel parameter is not smaller than the blood vessel parameter threshold;
and S4, the blood vessel parameter, the health information and the alarm information are acquired and displayed by the evaluation system so as to be checked by related personnel.
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| CN111887824A (en) * | 2020-07-30 | 2020-11-06 | 杭州电子科技大学 | Arteriosclerosis detection device based on millimeter waves and neural network |
| CN112998743A (en) * | 2021-02-20 | 2021-06-22 | 苏州大学 | Internal fistula stenosis degree evaluation method and evaluation system and wearable medical equipment |
| CN113243903A (en) * | 2021-04-16 | 2021-08-13 | 顺德职业技术学院 | Device and system are protected to ease heart of arteriovenous fistula |
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| JP3820162B2 (en) * | 2002-02-14 | 2006-09-13 | セイコーインスツル株式会社 | Cardiodynamic measurement device |
| CN203369933U (en) * | 2013-07-05 | 2014-01-01 | 胡大勇 | Novel vascular clamp |
| CN203506749U (en) * | 2013-09-12 | 2014-04-02 | 曹英娟 | Wristband type monitoring device for internal arteriovenous fistula |
| CN204909456U (en) * | 2015-08-14 | 2015-12-30 | 暨南大学 | Wearable internal arteriovenous fistula blood flow monitor |
| CN105640513A (en) * | 2015-12-31 | 2016-06-08 | 中国科学院微电子研究所 | Pulse wave array sensor acquisition system and method |
| CN206462988U (en) * | 2016-08-31 | 2017-09-05 | 张代娣 | Wrist internal arteriovenous fistula monitor |
| US10467509B2 (en) * | 2017-02-14 | 2019-11-05 | Microsoft Technology Licensing, Llc | Computationally-efficient human-identifying smart assistant computer |
| CN107049280B (en) * | 2017-05-23 | 2020-03-31 | 宁波大学 | Wearable equipment of mobile internet intelligence |
| TWI633871B (en) * | 2017-06-22 | 2018-09-01 | 國立清華大學 | Hearing diagnosis device and hearing information detection method |
| CN107233108A (en) * | 2017-07-17 | 2017-10-10 | 清华大学深圳研究生院 | A kind of wearable sticker of acquisition volume message number |
| CN107334466A (en) * | 2017-08-08 | 2017-11-10 | 西安交通大学 | A kind of apparatus and method of wearable chronic disease intelligent monitoring and early warning |
| CN208851472U (en) * | 2017-10-17 | 2019-05-14 | 杨能源 | A kind of arteriovenous vibration monitoring device after internal arteriovenous fistula |
| CN107960990A (en) * | 2018-01-11 | 2018-04-27 | 上海健康医学院 | A kind of wearable cardiovascular and cerebrovascular disease intelligent monitor system and method |
| US20200008686A1 (en) * | 2018-07-05 | 2020-01-09 | Mohammad Mohammad Khair | Monitoring cardiac blood flow balance relationship between the right and left heart chambers and cardiac regulation |
| CN109692392A (en) * | 2019-01-30 | 2019-04-30 | 华东交通大学 | A kind of musical therapy method and system based on cloud platform |
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