CN112494032A - Respiratory disease monitoring and early warning system based on acoustic characteristics - Google Patents
Respiratory disease monitoring and early warning system based on acoustic characteristics 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
- A61B5/08—Detecting, measuring or recording devices for evaluating the respiratory organs
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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
- A61B5/08—Detecting, measuring or recording devices for evaluating the respiratory organs
- A61B5/0823—Detecting or evaluating cough events
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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
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7203—Signal processing specially adapted for physiological signals or for diagnostic purposes for noise prevention, reduction or removal
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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
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
- A61B5/725—Details of waveform analysis using specific filters therefor, e.g. Kalman or adaptive filters
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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
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
- A61B5/7253—Details of waveform analysis characterised by using transforms
- A61B5/7257—Details of waveform analysis characterised by using transforms using Fourier transforms
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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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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
- G06F21/31—User authentication
- G06F21/36—User authentication by graphic or iconic representation
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L17/00—Speaker identification or verification
- G10L17/02—Preprocessing operations, e.g. segment selection; Pattern representation or modelling, e.g. based on linear discriminant analysis [LDA] or principal components; Feature selection or extraction
Abstract
The invention discloses a respiratory disease monitoring and early warning system based on acoustic characteristics, which comprises a two-dimensional code generation module, a voiceprint recognition module, a voiceprint recording module and a voiceprint model library, wherein the voiceprint recording module acquires voiceprint data of a user through a voiceprint acquisition device, extracts characteristic points and comparison points after the collected voiceprint data of the user is subjected to noise reduction processing, extracts voiceprint characteristics from the acquired voiceprint data through the voiceprint recognition module, trains the data and obtains the voiceprint model library, and the invention relates to the technical field of medical systems. This respiratory disease monitoring and early warning system based on acoustic characteristic reduces the noise part that contains in the voiceprint information that the user passed into through built-in wiener filtering noise reduction algorithm, reaches audio frequency noise reduction effect to the data that make the analysis reachs are more accurate, and the detection method based on acoustic characteristic can effectively alleviate patient's misery simultaneously, and very big shortening detection cycle, reduced respiratory disease's diffusion risk simultaneously.
Description
Technical Field
The invention relates to the technical field of medical systems, in particular to a respiratory disease monitoring and early warning system based on acoustic characteristics.
Background
Respiratory tract infection refers to the infection of pathogens in respiratory systems of nasal cavities, throats, tracheas, bronchi and the like of human bodies, and is divided into upper respiratory tract infection and lower respiratory tract infection, the common acute upper respiratory tract infection is a general name of acute inflammation of the nasal cavities and the throats, and is the most common infectious disease of the respiratory tract, the main methods for detecting the existing respiratory tract diseases are virus isolation culture, antigen detection, antibody detection, molecular biology methods and the like, but the detection processes of the methods are troublesome, the period is long, the treatment of patients is not facilitated, the respiratory tract diseases become the most difficult to overcome at present along with the influence of new coronary epidemic situation, and fever, hypodynamia and dry cough are mainly expressed; upper respiratory symptoms such as nasal obstruction, watery nasal discharge, etc. are rare; approximately half of patients develop dyspnea after one week, and severe patients rapidly progress to acute respiratory distress syndrome, septic shock, refractory metabolic acid-neutralized procoagulant dysfunction. It is worth noting that the severe and severe patients can be medium-low fever during the course of illness, therefore, with the development of computer technology, a respiratory disease monitoring and early warning system based on acoustic features is developed, the system is mainly applied to the propagation and monitoring and early warning of novel coronavirus, sufficient information is extracted from cough sound by means of sound feature analysis technology for detection and analysis, and the system has the characteristics of high efficiency, low cost, non-contact and non-invasion, and is urgently needed in the field of medical detection technology at present.
Disclosure of Invention
In view of this, the present invention provides a respiratory disease monitoring and early warning system based on acoustic features to solve the problems existing in the traditional respiratory disease detection process in the prior art.
The invention is realized by the following technical scheme:
the utility model provides a respiratory disease monitoring and early warning system based on acoustic characteristic, includes two-dimensional code generation module, voiceprint recognition module, voiceprint input module and voiceprint model bank, and voiceprint input module passes through voiceprint collection system and gathers user's voiceprint data, and after the voiceprint data of the user who will collect passed through noise reduction processing, draw the characteristic point and compare the point, voiceprint recognition module draws the voiceprint characteristic to the voiceprint data of gathering, trains data and obtains the voiceprint model bank, carries out numerical processing with the voiceprint data, confirms the numerical range of voiceprint data, revises normal state data and respiratory disease state data offset in the voiceprint model bank according to the voiceprint data of user normal state, and the revising method is: the user data is X, the normal data in the voiceprint model base is Y, respiratory diseases are divided into Z1-ZN according to types, the difference value of X and Y is Q, at the moment, Y + Q enables X = YQ, Z1-ZN + Q to obtain Z1Q-ZNQ, setting of threshold values and deviation fitting values is carried out, C is the fitting range of X, YQ and Z1Q-ZNQ, a period segment J is cut out from the obtained voiceprint data of the user, the voiceprint data are divided into a plurality of periods, the voiceprint data are composed of a plurality of J, the length of each period is determined through repeated occurrence of extracted feature points and comparison points, the starting points of the feature points and the comparison points are the starting points of J, the end points of the feature points and the comparison points are the end points of J, the range of the J can be obtained through determination of the starting points and the end points, the J comprises a plurality of feature points and comparison point data of a plurality of frequencies in a period, c is used as a data fitting range of J and Z1Q-ZNQ for judgment, when no matching data exists, the possibility that the user suffers from the diseases in the respiratory disease feature library is eliminated, and when the fact that the sound of the user can be fitted with a certain disease in the respiratory disease feature library is found, early warning is triggered, namely, the user is judged to suffer from the disease.
Further, the voiceprint acquisition device performs relaxation operation on all edges based on relaxation operation of a Bellman-Ford algorithm, finds out the optimal uploading speed of the maximum flow with the minimum cost in repeated calculation, and transmits acquired voiceprint information to the respiratory disease monitoring and early warning system based on acoustic characteristics.
Further, the voiceprint data converts the voiceprint information into a frequency domain through a Fourier transform algorithm, quantizes and encodes the obtained frequency domain, and determines an accurate value of the voiceprint.
Further, the accurate value of the voiceprint is compared with the voiceprint model library through a Kmp algorithm, and the voiceprint state of the optimal solution of the voiceprint matching is obtained through an ant colony algorithm.
Furthermore, a wiener filtering noise reduction algorithm is arranged in the voiceprint recording module, and noise in the voiceprint information is reduced.
Furthermore, the voiceprint recognition module further comprises a voice recognition system, the voice recognition system comprises an administrator system, the administrator system comprises a phrase triggering system and at least comprises an authorized user, the voice recognition system collects external phrases through a voiceprint collecting device and compares the collected external phrases with the administrator system through a voiceprint recording module.
Further, the two-dimensional code generation module generates a two-dimensional code by inputting patient information, and the generated two-dimensional code is used for identifying the identity information of the patient.
Further, the voiceprint recognition system further comprises a memory and a processor coupled to the memory, wherein the processor is configured to perform audio coding on the common voice data and send the coded voice data to the cloud service end through a data channel if the voiceprint recognition module recognizes that the voice data is the common voice data based on the instructions stored in the memory.
The invention has the beneficial effects that:
this respiratory disease monitoring and early warning system based on acoustic characteristic reduces the noise part that contains in the voiceprint information that the user passed into through built-in wiener filtering noise reduction algorithm, reaches audio frequency noise reduction effect to the data that make the analysis reachs are more accurate, and the detection method based on acoustic characteristic can effectively alleviate patient's misery simultaneously, and very big shortening detection cycle, reduced respiratory disease's diffusion risk simultaneously.
In short, the technical scheme of the application utilizes an optimized technical scheme, and solves the problems existing in the traditional respiratory disease detection process.
Additional advantages, objects, and features of the invention will be set forth in part in the description which follows and in part will become apparent to those having ordinary skill in the art upon examination of the following or may be learned from practice of the invention. The objectives and other advantages of the invention may be realized and attained by the means of the instrumentalities and combinations particularly pointed out hereinafter. Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below, and it is obvious that the described embodiments are a part of the embodiments of the present invention, but not all of the embodiments.
Thus, the following detailed description of the embodiments of the present invention is not intended to limit the scope of the invention as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the above description of the present invention, it should be noted that the terms "one side", "the other side" and the like refer to the orientation or positional relationship that is conventionally placed when the product of the present invention is used, and are used only for convenience of describing the present invention and simplifying the description, but do not indicate or imply that the device or element referred to must have a specific orientation, be constructed in a specific orientation and be operated, and thus should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and the like are used merely to distinguish one description from another, and are not to be construed as indicating or implying relative importance.
Further, the term "identical" and the like do not mean that the components are absolutely required to be identical, but may have slight differences. The term "perpendicular" merely means that the positional relationship between the components is more perpendicular than "parallel", and does not mean that the structure must be perfectly perpendicular, but may be slightly inclined.
The invention provides a technical scheme that: the utility model provides a respiratory disease monitoring and early warning system based on acoustic characteristic, includes two-dimensional code generation module, voiceprint recognition module, voiceprint input module and voiceprint model bank, and voiceprint input module passes through voiceprint collection system and gathers user's voiceprint data, and after the voiceprint data of the user who will collect passed through noise reduction processing, draw the characteristic point and compare the point, voiceprint recognition module draws the voiceprint characteristic to the voiceprint data of gathering, trains data and obtains the voiceprint model bank, carries out numerical processing with the voiceprint data, confirms the numerical range of voiceprint data, revises normal state data and respiratory disease state data offset in the voiceprint model bank according to the voiceprint data of user normal state, and the revising method is: the user data is X, the normal data in the voiceprint model base is Y, respiratory diseases are divided into Z1-ZN according to types, the difference value of X and Y is Q, at the moment, Y + Q enables X = YQ, Z1-ZN + Q to obtain Z1Q-ZNQ, setting of threshold values and deviation fitting values is carried out, C is the fitting range of X, YQ and Z1Q-ZNQ, a period segment J is cut out from the obtained voiceprint data of the user, the voiceprint data are divided into a plurality of periods, the voiceprint data are composed of a plurality of J, the length of each period is determined through repeated occurrence of extracted feature points and comparison points, the starting points of the feature points and the comparison points are the starting points of J, the end points of the feature points and the comparison points are the end points of J, the range of the J can be obtained through determination of the starting points and the end points, the J comprises a plurality of feature points and comparison point data of a plurality of frequencies in a period, c is used as a data fitting range of J and Z1Q-ZNQ for judgment, when no matching data exists, the possibility that the user suffers from the diseases in the respiratory disease feature library is eliminated, and when the fact that the sound of the user can be fitted with a certain disease in the respiratory disease feature library is found, early warning is triggered, namely, the user is judged to suffer from the disease.
In the invention: the voiceprint acquisition device performs relaxation operation on all edges on the basis of relaxation operation of a Bellman-Ford algorithm, finds out the optimal uploading speed of the maximum flow with minimum cost in repeated calculation, and transmits acquired voiceprint information to a respiratory disease monitoring and early warning system based on acoustic characteristics.
In the invention: and converting the voiceprint information into a frequency domain through a Fourier transform algorithm, quantizing and encoding the obtained frequency domain, and determining an accurate value of the voiceprint.
In the invention: and comparing the accurate value of the voiceprint with the voiceprint model library through a Kmp algorithm, and obtaining the voiceprint state of the optimal voiceprint matching solution through an ant colony algorithm.
In the invention: the voiceprint recording module is internally provided with a wiener filtering noise reduction algorithm to reduce noise in the voiceprint information, and the built-in wiener filtering noise reduction algorithm reduces noise parts contained in the voiceprint information transmitted by a user to achieve an audio noise reduction effect, so that the analyzed data are more accurate.
In the invention: the voice recognition module also comprises a voice recognition system, the voice recognition system comprises an administrator system, the administrator system comprises a phrase triggering system and at least one authorized user, the voice recognition system collects external phrases through the voice print collecting device and compares the collected external phrases with the administrator system through the voice print recording module.
In the invention: the two-dimensional code generation module generates a two-dimensional code by inputting patient information, and the generated two-dimensional code is used for identifying the identity information of a patient, so that a manager can conveniently and rapidly screen and determine a plurality of patient information.
In the invention: the voiceprint recognition system further comprises a memory and a processor coupled to the memory, wherein the processor is configured to perform audio coding on the common voice data and send the coded voice data to the cloud service end through a data channel if the voiceprint recognition module recognizes that the voice data is the common voice data based on the instructions stored in the memory.
Finally, the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting, although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions may be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all of them should be covered in the claims of the present invention.
Claims (8)
1. The utility model provides a respiratory disease monitoring and early warning system based on acoustic characteristics, includes two-dimensional code generation module, voiceprint recognition module, voiceprint input module and voiceprint model library, its characterized in that: the voiceprint recording module collects voiceprint data of a user through a voiceprint collecting device, extracts feature points and comparison points after the collected voiceprint data of the user are subjected to noise reduction treatment, the voiceprint recognition module extracts voiceprint features from the collected voiceprint data, trains the data and obtains a voiceprint model library, carries out numerical treatment on the voiceprint data, determines the numerical range of the voiceprint data, and corrects normal state data and respiratory disease state data offset in the voiceprint model library according to the voiceprint data of the normal state of the user, and the correction method comprises the following steps: the user data is X, the normal data in the voiceprint model base is Y, respiratory diseases are divided into Z1-ZN according to types, the difference value of X and Y is Q, at the moment, Y + Q enables X = YQ, Z1-ZN + Q to obtain Z1Q-ZNQ, setting of threshold values and deviation fitting values is carried out, C is the fitting range of X, YQ and Z1Q-ZNQ, a period segment J is cut out from the obtained voiceprint data of the user, the voiceprint data are divided into a plurality of periods, the voiceprint data are composed of a plurality of J, the length of each period is determined through repeated occurrence of extracted feature points and comparison points, the starting points of the feature points and the comparison points are the starting points of J, the end points of the feature points and the comparison points are the end points of J, the range of the J can be obtained through determination of the starting points and the end points, the J comprises a plurality of feature points and comparison point data of a plurality of frequencies in a period, c is used as a data fitting range of J and Z1Q-ZNQ for judgment, when no matching data exists, the possibility that the user suffers from the diseases in the respiratory disease feature library is eliminated, and when the fact that the sound of the user can be fitted with a certain disease in the respiratory disease feature library is found, early warning is triggered, namely, the user is judged to suffer from the disease.
2. The respiratory tract disease monitoring and early warning system based on the acoustic features as claimed in claim 1, wherein: the voiceprint acquisition device performs relaxation operation on all edges on the basis of relaxation operation of a Bellman-Ford algorithm, finds out the optimal uploading speed of the maximum flow with minimum cost in repeated calculation, and transmits acquired voiceprint information to a respiratory disease monitoring and early warning system based on acoustic characteristics.
3. The respiratory tract disease monitoring and early warning system based on the acoustic features as claimed in claim 1, wherein: and converting the voiceprint information into a frequency domain through a Fourier transform algorithm, quantizing and encoding the obtained frequency domain, and determining an accurate value of the voiceprint.
4. The respiratory tract disease monitoring and early warning system based on the acoustic features as claimed in claim 3, wherein: and comparing the accurate value of the voiceprint data with the voiceprint model library through a Kmp algorithm, and obtaining the voiceprint state of the optimal voiceprint matching solution through an ant colony algorithm.
5. The respiratory tract disease monitoring and early warning system based on the acoustic features as claimed in claim 1, wherein: a wiener filtering noise reduction algorithm is arranged in the voiceprint recording module, and noise in voiceprint information is reduced.
6. The respiratory tract disease monitoring and early warning system based on the acoustic features as claimed in claim 1, wherein: the voiceprint recognition module further comprises a voice recognition system, the voice recognition system comprises an administrator system, the administrator system comprises a phrase triggering system and at least comprises an authorized user, the voice recognition system collects external phrases through a voiceprint collecting device and compares the collected external phrases with the administrator system through a voiceprint recording module.
7. An acoustic feature based respiratory disease monitoring and early warning system according to any one of claims 1 to 6, wherein: the two-dimensional code generation module generates a two-dimensional code by inputting patient information, and the generated two-dimensional code is used for identifying the identity information of the patient.
8. The respiratory tract disease monitoring and early warning system based on the acoustic features as claimed in claim 1, wherein: the voiceprint recognition system further comprises a memory and a processor coupled to the memory, wherein the processor is configured to perform audio coding on the common voice data and send the coded voice data to the cloud service end through a data channel if the voiceprint recognition module recognizes that the voice data is the common voice data based on the instructions stored in the memory.
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Application publication date: 20210316 |