CN111768834A - Wearable intelligent hearing comprehensive detection analysis rehabilitation system - Google Patents
Wearable intelligent hearing comprehensive detection analysis rehabilitation system Download PDFInfo
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Abstract
The invention relates to a wearable intelligent hearing comprehensive detection analysis rehabilitation system. The system comprises: the system comprises professional audiometric earphones and an intelligent audiometric analysis system, wherein the intelligent audiometric analysis system is carried on a mobile phone of a user, the professional audiometric earphones are used for playing appointed audio to the user through the mobile phone to obtain audio information, the professional audiometric earphones are connected with the intelligent audiometric analysis system, and the intelligent audiometric analysis system is used for detecting and analyzing according to matching results of user feedback and the audio information, formulating music rehabilitation training for the user according to analysis results, and feeding back music rehabilitation training effects to the user. The invention can comprehensively evaluate the auditory system of the user at any time and any place, and formulate a music rehabilitation training plan according to the hearing loss degrees of different users.
Description
Technical Field
The invention relates to the field of hearing detection and analysis, in particular to a wearable intelligent hearing comprehensive detection and analysis rehabilitation system.
Background
In daily life, the problem of whether the hearing is audible or not is well concerned, but the problem of whether the hearing is clear or not is ignored, namely, the frequency resolution and coding functions of the auditory system are neglected, and most of the hearing detection technologies at home and abroad are based on pure tone audiometric detection algorithms, so that the comprehensive evaluation on the functions of the auditory system cannot be carried out.
In the market research, the existing hearing test instrument can be summarized to two problems, namely, the existing hearing test instrument has no result analysis function, is relatively large in size, can only be limited to displaying of numerical values and curves of relevant indexes, is not capable of understanding the final indexes or the meanings represented by the curves for non-professionals, and is poor in overall readability, namely, a test result needs professional auxiliary analysis, has strong dependence on a hearing engineer, is not suitable for household daily test, has high requirements on a use environment and equipment, and is lack of portability; secondly, the existing product can also be transplanted to a mobile phone for hearing detection, so that the relative convenience is achieved, but the detection algorithm still has a single problem, which is the same as the first problem.
All the prior art only focuses on the aspect of audiometry, but rehabilitation therapy is also handed back to a medical party, so that the traditional method is not considered as more direct and convenient by the public than direct examination in a hospital.
Disclosure of Invention
The invention aims to provide a wearable intelligent hearing comprehensive detection analysis rehabilitation system which can comprehensively evaluate the auditory system of a user at any time and any place and make a music rehabilitation training plan according to the hearing loss degrees of different users.
In order to achieve the purpose, the invention provides the following scheme:
a wearable intelligent hearing comprehensive detection analysis rehabilitation system comprises: the system comprises professional audiometric earphones and an intelligent audiometric analysis system, wherein the intelligent audiometric analysis system is carried on a mobile phone of a user, the professional audiometric earphones are used for playing appointed audio to the user through the mobile phone to obtain audio information, the professional audiometric earphones are connected with the intelligent audiometric analysis system, and the intelligent audiometric analysis system is used for detecting and analyzing according to matching results of user feedback and the audio information, formulating music rehabilitation training for the user according to analysis results, and feeding back music rehabilitation training effects to the user.
Optionally, the professional audiometric earphone adopts an integrated structure, and comprises a bluetooth module, a high-precision sound card module, a noise reduction module and a speaker module;
the Bluetooth module is connected with the mobile phone, the high-precision sound card module is connected with the Bluetooth module, the high-precision sound card module is used for receiving external audio information, the high-precision sound card module is connected with the noise reduction module, the noise reduction module is used for performing noise reduction processing on the external audio information, the noise reduction module is connected with the loudspeaker module, and the loudspeaker module is used for transmitting the external audio information after the noise reduction processing to two ears of a user.
Optionally, the intelligent audiometric analysis system includes: the system comprises a human-computer interaction interface module, a hearing comprehensive detection module, a detection result intelligent analysis module, a music rehabilitation training module, a high-precision sound card driving module and a controller;
the high-precision sound card driving module is connected with the Bluetooth module, the high-precision sound card driving module is used for driving the mobile phone to play audio information, the user selects audio option information heard by two ears on the human-computer interaction interface module, the controller is connected with the human-computer interaction interface module, the controller is used for generating feedback audio information according to the audio option information, the comprehensive hearing detection module is connected with the controller, and the comprehensive hearing detection module is used for detecting according to matching results of user feedback and the feedback audio information to obtain a detection result; the intelligent detection result analysis module is connected with the comprehensive hearing detection module and is used for analyzing the detection result to obtain an analysis result; the music rehabilitation training module is connected with the detection result intelligent analysis module, the music rehabilitation training module is used for formulating a rehabilitation training plan according to the analysis result, the music rehabilitation training module is used for determining a rehabilitation training effect according to the result of executing the rehabilitation plan by the user, the music rehabilitation training module is connected with the controller, and the controller is used for receiving the rehabilitation training effect and feeding the rehabilitation training effect back to the human-computer interaction interface module.
Optionally, the hearing comprehensive detection module is configured to perform detection according to a matching result between the user feedback and the feedback audio information to obtain a detection result, and specifically includes:
and the hearing comprehensive detection module detects the feedback audio information by adopting two algorithms of pure tone audiometry and psychophysical tuning curve to obtain a pure tone audiometry detection result and a psychophysical tuning curve detection result.
Optionally, the intelligent detection result analysis module is configured to analyze the detection result to obtain an analysis result, and specifically includes:
the detection result intelligent analysis module is used for analyzing the pure tone audiometry detection result:
if the hearing loss decibel number is between-10 dB HL and 20dB HL, the hearing belongs to the normal level;
if the hearing loss decibel number is between 20dB HL and 40dB HL, the mild hearing loss is represented;
if the hearing loss decibel number is between 40dB HL and 60dB HL, the moderate hearing loss is represented;
if the hearing loss decibel number is between 60dB HL and 80dB HL, the hearing loss condition is serious;
if the hearing loss decibel number is greater than 81dB HL, the hearing loss is very serious;
the intelligent analysis module for detection results is used for analyzing the detection results of the psychophysical tuning curve, and the psychophysical tuning curve is used for detecting the frequency selection characteristic at the set frequency f, and specifically includes:
the quality factor Q value is more than or equal to 8, and the psychophysical tuning curve at the set frequency f is very sharp, so that the frequency selection characteristic function at the frequency belongs to an excellent level;
the Q value of the quality factor is in the range of 4-8, and the psychophysical tuning curve at the set frequency f has moderate sharpness, which indicates that the frequency selection characteristic function at the frequency belongs to a good level;
a quality factor Q value of <4 indicates a loss of the frequency selective characteristic function at that frequency.
Optionally, the music rehabilitation training module is configured to formulate a rehabilitation training plan according to the analysis result, and specifically includes:
the music rehabilitation training module is used for making a rehabilitation training plan according to the analysis result, and the rehabilitation training plan is divided into three stages: the first stage is primary training, which separately distinguishes one tone and restores the user's ability to distinguish the damaged frequency in a quiet state; the second stage is middle-level training, through a music melody of 10s, the music melody includes the tone generated, let the user carefully distinguish the tone in the melody; the third stage is advanced training, through 2min of music melody, including generated tone, let the user carefully distinguish the tone in the melody, the user hears the position of the tone through the user's transponder feedback.
Optionally, the music rehabilitation training module is configured to determine a rehabilitation training effect according to a result of the user executing a rehabilitation plan, and specifically includes:
the music rehabilitation training module is used for comparing the change of the pure tone audiometry detection result of the user before and after music training and judging the improvement effect of the music training on the strength sensitivity of the auditory system;
the music rehabilitation training module is used for comparing the change of the quality factor Q value of the psychophysical tuning curve of the user before and after music training and judging the improvement effect of the music training on the frequency resolution of the auditory system.
According to the specific embodiment provided by the invention, the invention discloses the following technical effects:
the invention provides a wearable intelligent hearing comprehensive detection analysis rehabilitation system, which comprises: the intelligent audiometric analysis system is carried on a mobile phone of a user, the professional audiometric earphone is used for playing appointed audio to the user through the mobile phone to obtain audio information, the professional audiometric earphone is connected with the intelligent audiometric analysis system, the intelligent audiometric analysis system is used for analyzing according to user feedback and a matching program of the audio information, music rehabilitation training is formulated for the user according to an analysis result, and a music rehabilitation training effect is fed back to the user, so that staged comprehensive evaluation can be performed on a user auditory system at any time and any place, a music rehabilitation training plan is formulated according to different user auditory loss degrees, and a rehabilitation training effect is obtained.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without inventive exercise.
FIG. 1 is a block diagram of a wearable intelligent hearing comprehensive testing, analyzing and rehabilitation system according to the present invention;
FIG. 2 is a block diagram of a wearable intelligent hearing comprehensive testing, analyzing and recovering system according to the present invention;
FIG. 3 is a schematic structural diagram of an intelligent audiometric analysis system according to the present invention;
fig. 4 is a training flow chart of the music rehabilitation training module according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. 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.
The invention aims to provide a wearable intelligent hearing comprehensive detection analysis rehabilitation system which can comprehensively evaluate the auditory system of a user at any time and any place and make a music rehabilitation training plan according to the hearing loss degrees of different users.
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below.
Fig. 1 is a block diagram of the wearable intelligent hearing comprehensive detection analysis rehabilitation system of the invention. As shown in the figure, a wearable intelligent hearing comprehensive detection analysis rehabilitation system includes: the system comprises professional audiometric earphones 1 and an intelligent audiometric analysis system 2, wherein the intelligent audiometric analysis system 2 is carried on a mobile phone of a user, the professional audiometric earphones 1 are used for playing appointed audio for the user through the mobile phone to obtain audio information, the professional audiometric earphones 1 are connected with the intelligent audiometric analysis system 2, and the intelligent audiometric analysis system 2 is used for analyzing matching results of user feedback and the audio information, formulating music rehabilitation training for the user according to analysis results, and feeding back music rehabilitation training effects to the user.
Fig. 2 is a block diagram of a wearable intelligent hearing comprehensive detection analysis rehabilitation system according to the present invention. As shown in fig. 2, the professional audiometric headset 1 adopts an integrated structure, and the professional audiometric headset 1 includes a bluetooth module 11, a high-precision sound card module 12, a noise reduction module 13, and a speaker module 14; the bluetooth module 11 is connected with the mobile phone, the high-precision sound card module 12 is connected with the bluetooth module 11, the high-precision sound card module 12 is used for receiving external audio information, the high-precision sound card module 12 is connected with the noise reduction module 13, the noise reduction module 13 is used for performing noise reduction processing on the external audio information, the noise reduction module 13 is connected with the speaker module 14, and the speaker module 14 is used for transmitting the external audio information after the noise reduction processing to two ears of the user.
Professional audiometric earphone 1 is mainly the assembly of front and back casing, sound production unit and the flexible bandeau of pull, and front and back casing has the accommodation space, and speaker module 14, high accuracy sound card module 12, bluetooth module 11 are located the accommodation space. In the accommodation space, connect sound generating unit and bluetooth module 11 by the earphone electric wire, each part mounting structure all will rationally assemble. The connecting wire in the earphone adopts the oxygen-free copper wire with a plurality of wire cores, so that the influence of impurities in the copper on signal transmission and the interference of external noise can be avoided. The miniature speaker chooses current high accuracy module for use, and the model is the miniature speaker of moving coil type in the 13mm bluetooth of YLF130932-01 for the acoustic-electric conversion, and moving coil earphone sound producing unit mainly comprises following part: the miniature loudspeaker adopts a dual-channel independent playing mode, so that the dual channels can respectively play masking sound (or music) and pure sound; the bluetooth module 11 employs a BC05 Multimedia External chip manufactured by CSR corporation. The high-precision sound card module 12 has more filter capacitors and power amplifier tubes, and is subjected to signal amplification and noise reduction by a plurality of secondary signal amplification circuits, so that the signal precision of the output audio is improved, the audio with a frequency band range of about 20-20,000Hz can be played, the requirements of an audiometric method are met, and the influence caused by environmental noise can be reduced to the greatest extent. The speaker module 14, the high-precision sound card module 12 and the bluetooth module 11 are soldered to a circuit board and divided into two parts adapted to the left and right ears, which are connected with other parts by earphone connection wires.
The ear muff adopts closed acoustics design, is the cup, around the ear, for guaranteeing soft comfortable, its inside sponge of generally filling, leather or cotton flannel are covered to the outside, have the absorbing action to intermediate frequency, high frequency sound, and the front and back casing is the plastics material, encapsulates with the encapsulation glue behind the lock, and the encapsulation requirement is in the same direction as smooth, avoids destroying the leakproofness of cavity. The headband part adopts a plastic headband with the shape thickness of 3.0-5.0 mm and the wall thickness not exceeding 2.0mm, and the connection between the headband and the earmuff is completed by combining the design of a drawing telescopic arm and the design of a rotating shaft, so that a user can feel comfortable in use more greatly.
The intelligent audiometric analysis system 2 includes: the system comprises a human-computer interaction interface module 21, a hearing comprehensive detection module 22, a detection result intelligent analysis module 23, a music rehabilitation training module 24, a high-precision sound card driving module 25 and a controller 26; the high-precision sound card driving module 25 is connected to the bluetooth module 11, the high-precision sound card driving module 25 is configured to drive the mobile phone to play audio information, the user selects audio option information heard by two ears on the human-computer interaction interface module 21, the controller 26 is connected to the human-computer interaction interface module 21, the controller 26 is configured to generate feedback audio information according to the audio option information, the comprehensive hearing detection module 22 is connected to the controller 26, and the comprehensive hearing detection module 22 is configured to perform detection according to a matching result between user feedback and the feedback audio information to obtain a detection result; the detection result intelligent analysis module 23 is connected with the hearing comprehensive detection module 22, and the detection result intelligent analysis module 23 is used for analyzing the detection result to obtain an analysis result; the music rehabilitation training module 24 is connected with the detection result intelligent analysis module 23, the music rehabilitation training module 24 is used for making a rehabilitation training plan according to the analysis result, the music rehabilitation training module 24 is used for determining a rehabilitation training effect according to the result of executing the rehabilitation plan by the user, the music rehabilitation training module 24 is connected with the controller 26, and the controller 26 is used for receiving the rehabilitation training effect and feeding the rehabilitation training effect back to the human-computer interaction interface module 21.
The hearing comprehensive detection module 22 is configured to perform detection according to the user feedback and the feedback audio information to obtain a detection result, and specifically includes:
the comprehensive hearing detection module 22 detects the feedback audio information by using two algorithms, namely pure tone audiometry and psychophysical tuning curve, so as to obtain a pure tone audiometry detection result and a psychophysical tuning curve detection result.
Pure tone audiometry detects the hearing threshold of a user at certain specific frequencies, and the detected hearing threshold conceptually refers to the minimum sound pressure level capable of causing hearing under stimulation of a certain pure tone signal. During testing, sinusoidal pure tone audios with different intensities are adopted for stimulation, a subject makes subjective reaction according to own feelings, and finally, the threshold value of the subject under each stimulation frequency is determined. The pure tone audiometry adopts a rising method to set frequency points of 250Hz, 500Hz, 1000Hz, 2000Hz, 4000Hz and 8000Hz respectively; the hearing loss decibels range from-10 dB to 90dB HL on the coordinate axis. The lower the hearing loss decibel number is, the better the hearing condition of the subject is shown, and the normal person hearing loss decibel number is less than or equal to 20dB HL.
The psychophysical tuning curve is mainly used for testing and evaluating the frequency selection characteristics of the auditory system of a user. The frequency selection characteristic of the auditory system refers to the filtering and distinguishing capability of the auditory system on certain stimulation frequency components, and finally a masking sound frequency-intensity curve similar to a V shape is obtained. The masking sound selected by audiometry is narrow-band noise, and the center frequency of the masking sound is swept within +/-1 octave of the frequency of the stimulating sound; the masking sound intensity is increased (audibly) and decreased (audibly) at a rate of 2dB/s according to the user's feedback results. The better the frequency selection characteristics of the user's auditory system, the sharper the curve, the larger the quality factor Q value, which is generally calculated by dividing the frequency at the apex of the tuning curve by the bandwidth at 10dB above the apex of the tuning curve, and by calculating the magnitude of the curve quality factor Q value, it can be judged whether the subject's frequency selection function is normal.
The detection result intelligent analysis module 23 is configured to analyze the detection result to obtain an analysis result, and specifically includes:
the detection result intelligent analysis module 23 is configured to analyze the pure tone audiometry detection result:
the decibel number of hearing loss is between-10 dB HL and 20dB HL, and the hearing is normal level.
If the hearing loss decibel number is between 20dB HL and 40dB HL, the mild hearing loss is represented; in daily life, people should pay attention to whether the people can hear external fine sounds, such as the sound of blowing by fresh wind. The noise condition of the normal living environment is kept in mind, and the environment with large noise is far away as possible.
If the hearing loss decibel number is between 40dB HL and 60dB HL, the moderate hearing loss is represented; more accurate examination and treatment are recommended, and patients need to see medical advice in time if tinnitus, ear itch and other phenomena occur, so as to avoid more serious consequences.
If the hearing loss decibel number is between 60dB HL and 80dB HL, the hearing loss condition is serious; the hearing aid is larger, more accurate examination is recommended, and the hospital is visited for detailed reasons, and measures are taken according to hearing loss at different frequencies, such as wearing the hearing aid and adjusting and increasing the channels of the hearing aid.
If the hearing loss decibel number is greater than 81dB HL, the hearing loss is very serious; the presence of sound is often less perceptible, hearing aid assistance is required to sense the vibration of the sound, or more powerful hearing aids are required to communicate with the person, where more accurate examinations are strongly recommended, as well as the detailed reasons for going to the hospital for the examination.
The detection result intelligent analysis module 23 is configured to analyze the detection result of the psychophysical tuning curve, where the psychophysical tuning curve is configured to detect a frequency selection characteristic at a set frequency f, and specifically includes:
the quality factor Q value is more than or equal to 8, and the psychophysical tuning curve at the set frequency f is very sharp, which indicates that the frequency selection characteristic function at the frequency belongs to an excellent level.
The Q value of the quality factor is in the range of 4-8, and the psychophysical tuning curve at the set frequency f has moderate sharpness, which indicates that the frequency selection characteristic function at the frequency belongs to a good level.
The quality factor Q value is less than 4, which indicates that the frequency selection characteristic function at the frequency is lost, and whether the user can distinguish different external sounds in daily life, such as whether various sounds can be sensitively distinguished in noisy environment, should be paid attention to.
The music rehabilitation training module 24 is configured to formulate a rehabilitation training plan according to the analysis result, and specifically includes:
the music rehabilitation training module 24 is configured to formulate a rehabilitation training plan according to the analysis result, and the rehabilitation training plan is divided into three stages: the first stage is primary training, which separately distinguishes one tone and restores the user's ability to distinguish the damaged frequency in a quiet state; the second stage is middle-level training, through a music melody of 10s, the music melody includes the tone generated, let the user carefully distinguish the tone in the melody; the third stage is advanced training, through 2min of music melody, including generated tone, let the user carefully distinguish the tone in the melody, the user hears the position of the tone through the user's transponder feedback.
The music rehabilitation training user forms a unique training method based on tone identification training, and achieves the purpose of rehabilitation of the hearing function of the user while managing the psychological state of the user. The method comprises the following specific steps:
(1) and (3) auditory function detection: and carrying out auditory function detection on the user, judging the hearing loss frequency range, and formulating tones in the generated frequency range, namely the early-stage hearing detection analysis result.
(2) And (3) relaxing training: playing the background music which is relaxed for 5min, so that the user can relax the body and mind and eliminate the tension.
(3) Rehabilitation training: the method comprises the following steps of performing three stages, wherein the first stage is primary training, distinguishing one tone independently and recovering the distinguishing capability of a user on damaged frequencies in a quiet state; the second stage is middle-level training, a music melody of 10s is passed, the music melody includes generated tones, and then the user is enabled to carefully distinguish the tones in the melody; the third stage is advanced training, with a 2min musical melody including the generated tones, and then letting the user carefully distinguish the tones in the melody. The user hears the location of the tone back through the user transponder.
(4) And (3) relaxing training: playing the background music which is relaxed for 5min, so that the user can relax the body and mind and eliminate the tension.
The music rehabilitation training module 24 is configured to determine a rehabilitation training effect according to a result of the user executing a rehabilitation plan, and specifically includes:
the music rehabilitation training module 24 is used for comparing the change of the pure tone audiometry detection result of the user before and after the music training, and judging the improvement effect of the music training on the strength sensitivity of the auditory system.
The music rehabilitation training module 24 is used for comparing the quality factor Q value changes of the psychophysical tuning curve of the user before and after music training, and judging the improvement effect of the music training on the frequency resolution of the auditory system.
The intelligent audiometric analysis system 2 is the core of the system, and has the functions of respectively carrying out pure tone audiometry and psychophysical tuning curve detection on a user, establishing a detection result database of the user according to the detection result of the user, recording the hearing information of the user, obtaining comprehensive evaluation of the resolving power of the strength and the frequency of the auditory system of the user through comprehensive analysis, giving a corresponding hearing health suggestion, making a targeted hearing rehabilitation training plan, and finally realizing the effect of hearing rehabilitation. The intelligent audiometric analysis system 2 is implemented on an Android Studio software platform of an Android development environment based on IntelliJ IDEA community version through Java programming language, and the platform provides an integrated Android development tool for development and debugging.
In the whole system, the intelligent audiometric analysis system 2 is connected with a professional audiometric earphone through the bluetooth module 11, audiometric audio playing is performed on human ears, a user can perform feedback clicking on the human-computer interaction interface module 21 after receiving sound stimulation, and detection feedback is sent to the detection result intelligent analysis module 23 after feedback information is obtained. The comprehensive hearing detection module 22 can perform comprehensive detection respectively through two algorithms of pure tone audiometry and psychophysical tuning curve, and the intelligent detection result analysis module 23 performs intelligent analysis on the detection result to obtain a hearing result detection report and a hearing health suggestion, and finally presents the hearing result detection report and the hearing health suggestion to the user on the human-computer interaction interface module 21. Through the comprehensive analysis of the two detection results, the technical effects of more intelligent and convenient detection and analysis on the two aspects of the amplitude and the frequency of the human ear are realized. According to the hearing damage degree of the user presented in the hearing detection report, the music rehabilitation training program can make a training scheme aiming at the individual, effect evaluation summary can be carried out after the rehabilitation training is finished, and the evaluation result is transferred to the man-machine interaction interface module 21 to be presented to the user.
Compared with the prior art, the invention has the following advantages:
the invention relates to a pure tone audiometry and psychophysical tuning curve comprehensive detection analysis system based on a mobile phone application program, which comprehensively uses the pure tone audiometry which is the first choice detection means for hearing detection clinically at present and the psychophysical tuning curve which is the main method for evaluating frequency selection characteristics in a laboratory at present, wherein the pure tone audiometry provides information on intensity, and the psychophysical tuning curve provides information on frequency selection characteristics, thereby achieving the purpose of comprehensive analysis on human ear auditory perception and ensuring that the detection result is more accurate.
The wearable intelligent hearing comprehensive detection analysis rehabilitation system can accurately feed back comprehensive hearing information of a subject, displays the result through an intelligent comprehensive analysis program, facilitates the user to read and understand the test result, increases the experience comfort level of the user, can be applied to daily hearing detection, and accords with the intellectualization and the convenience of modern intelligent medical treatment.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.
The principles and embodiments of the present invention have been described herein using specific examples, which are provided only to assist understanding of the system and its core concepts; meanwhile, for a person skilled in the art, according to the idea of the present invention, the specific embodiments and the application range may be changed. In view of the above, the present disclosure should not be construed as limiting the invention.
Claims (7)
1. The utility model provides a wearable intelligent hearing comprehensive testing analysis rehabilitation system which characterized in that includes: the system comprises professional audiometric earphones and an intelligent audiometric analysis system, wherein the intelligent audiometric analysis system is carried on a mobile phone of a user, the professional audiometric earphones are used for playing appointed audio to the user through the mobile phone to obtain audio information, the professional audiometric earphones are connected with the intelligent audiometric analysis system, and the intelligent audiometric analysis system is used for detecting and analyzing according to matching results of user feedback and the audio information, formulating music rehabilitation training for the user according to analysis results, and feeding back music rehabilitation training effects to the user.
2. The wearable intelligent hearing comprehensive detection, analysis and rehabilitation system according to claim 1, wherein the professional audiometric headset is of an integrated structure and comprises a Bluetooth module, a high-precision sound card module, a noise reduction module and a speaker module;
the Bluetooth module is connected with the mobile phone, the high-precision sound card module is connected with the Bluetooth module, the high-precision sound card module is used for receiving external audio information, the high-precision sound card module is connected with the noise reduction module, the noise reduction module is used for performing noise reduction processing on the external audio information, the noise reduction module is connected with the loudspeaker module, and the loudspeaker module is used for transmitting the external audio information after the noise reduction processing to two ears of a user.
3. The wearable intelligent hearing integrated test analysis rehabilitation system according to claim 2, wherein the intelligent audiometric analysis system comprises: the system comprises a human-computer interaction interface module, a hearing comprehensive detection module, a detection result intelligent analysis module, a music rehabilitation training module, a high-precision sound card driving module and a controller;
the high-precision sound card driving module is connected with the Bluetooth module, the high-precision sound card driving module is used for driving the mobile phone to play audio information, the user selects audio option information heard by two ears on the human-computer interaction interface module, the controller is connected with the human-computer interaction interface module, the controller is used for generating feedback audio information according to the audio option information, the comprehensive hearing detection module is connected with the controller, and the comprehensive hearing detection module is used for detecting according to matching results of user feedback and the feedback audio information to obtain a detection result; the intelligent detection result analysis module is connected with the comprehensive hearing detection module and is used for analyzing the detection result to obtain an analysis result; the music rehabilitation training module is connected with the detection result intelligent analysis module, the music rehabilitation training module is used for formulating a rehabilitation training plan according to the analysis result, the music rehabilitation training module is used for determining a rehabilitation training effect according to the result of executing the rehabilitation plan by the user, the music rehabilitation training module is connected with the controller, and the controller is used for receiving the rehabilitation training effect and feeding the rehabilitation training effect back to the human-computer interaction interface module.
4. The system of claim 3, wherein the comprehensive hearing detection module is configured to perform detection according to a matching result between the user feedback and the feedback audio information to obtain a detection result, and specifically comprises:
and the hearing comprehensive detection module detects the feedback audio information by adopting two algorithms of pure tone audiometry and psychophysical tuning curve to obtain a pure tone audiometry detection result and a psychophysical tuning curve detection result.
5. The system according to claim 4, wherein the intelligent analysis module is configured to analyze the detection result to obtain an analysis result, and specifically comprises:
the detection result intelligent analysis module is used for analyzing the pure tone audiometry detection result:
if the hearing loss decibel number is between-10 dB HL and 20dB HL, the hearing belongs to the normal level;
if the hearing loss decibel number is between 20dB HL and 40dB HL, the mild hearing loss is represented;
if the hearing loss decibel number is between 40dB HL and 60dB HL, the moderate hearing loss is represented;
if the hearing loss decibel number is between 60dB HL and 80dB HL, the hearing loss condition is serious;
if the hearing loss decibel number is greater than 81dB HL, the hearing loss is very serious;
the intelligent analysis module for detection results is used for analyzing the detection results of the psychophysical tuning curve, and the psychophysical tuning curve is used for detecting the frequency selection characteristic at the set frequency f, and specifically includes:
the quality factor Q value is more than or equal to 8, and the psychophysical tuning curve at the set frequency f is very sharp, so that the frequency selection characteristic function at the frequency belongs to an excellent level;
the Q value of the quality factor is in the range of 4-8, and the psychophysical tuning curve at the set frequency f has moderate sharpness, which indicates that the frequency selection characteristic function at the frequency belongs to a good level;
a quality factor Q value of <4 indicates a loss of the frequency selective characteristic function at that frequency.
6. The system for comprehensive detection, analysis and rehabilitation of wearable intelligent hearing according to claim 4, wherein the music rehabilitation training module is configured to formulate a rehabilitation training plan according to the analysis result, and specifically comprises:
the music rehabilitation training module is used for making a rehabilitation training plan according to the analysis result, and the rehabilitation training plan is divided into three stages: the first stage is primary training, which separately distinguishes one tone and restores the user's ability to distinguish the damaged frequency in a quiet state; the second stage is middle-level training, through a music melody of 10s, the music melody includes the tone generated, let the user carefully distinguish the tone in the melody; the third stage is advanced training, through 2min of music melody, including generated tone, let the user carefully distinguish the tone in the melody, the user hears the position of the tone through the user's transponder feedback.
7. The wearable intelligent hearing integrated detection and analysis rehabilitation system according to claim 4, wherein the music rehabilitation training module is configured to determine a rehabilitation training effect according to a result of the user executing a rehabilitation plan, and specifically includes:
the music rehabilitation training module is used for comparing the change of the pure tone audiometry detection result of the user before and after music training and judging the improvement effect of the music training on the strength sensitivity of the auditory system;
the music rehabilitation training module is used for comparing the change of the quality factor Q value of the psychophysical tuning curve of the user before and after music training and judging the improvement effect of the music training on the frequency resolution of the auditory system.
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