CN112349418A - Auditory function abnormity monitoring method, device, equipment and storage medium - Google Patents
Auditory function abnormity monitoring method, device, equipment and storage medium Download PDFInfo
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- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
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- A61B5/12—Audiometering
- A61B5/121—Audiometering evaluating hearing capacity
- A61B5/125—Audiometering evaluating hearing capacity objective methods
Abstract
The invention is suitable for the technical field of computers, and provides a method, a device, equipment and a storage medium for monitoring auditory function abnormity, wherein the method comprises the following steps: acquiring environmental sound information, performing voice recognition processing, judging whether a user responds to key information when judging that the key information exists, determining auditory function abnormal information when judging that the key information does not exist, performing data analysis processing, and determining an auditory function abnormal monitoring result. According to the auditory function abnormality monitoring method provided by the invention, the key information existing in the environmental sound information is acquired in daily life, whether the user responds to the key information is judged, the auditory function abnormality information is counted and recorded, the early abnormality monitoring on the auditory function is realized according to the auditory function abnormality information counted and recorded, and the early auditory function abnormality risk of the user can be found earlier, so that the user can respond more timely.
Description
Technical Field
The invention belongs to the technical field of medical computers, and particularly relates to a method, a device, equipment and a storage medium for monitoring auditory function abnormity.
Background
With age, the auditory function of humans is gradually impaired. Especially for the old, the hearing function of the old should be monitored as early as possible in many cases, and when the hearing function abnormality is detected, the hearing aid can be worn as early as possible to avoid bringing trouble to the life of the old.
The existing detection of the auditory function usually needs to be carried out in a hospital, however, the detection method cannot timely judge the abnormal risk of the early auditory function through some daily behavioral dialogues of a user, so that the auditory function cannot be timely detected.
Therefore, the prior art also has the technical problem that the risk of early auditory dysfunction cannot be determined through user behavior dialogue in time.
Disclosure of Invention
The embodiment of the invention aims to provide a method for monitoring auditory function abnormality, and aims to solve the technical problem that early auditory function abnormality risks cannot be determined in time through user behavior dialogue in the prior art.
The embodiment of the invention is realized in such a way that the auditory function abnormity monitoring method comprises the following steps:
acquiring environmental sound information;
performing voice recognition processing on the environmental sound information, and judging whether preset key information exists or not;
when the preset key information is judged to exist, judging whether a user to be monitored responds to the key information;
when the fact that the user to be monitored does not respond to the key information is judged, auditory function abnormal information is determined;
and performing data statistical analysis processing on the auditory function abnormality information in a preset time period to determine an auditory function abnormality monitoring result.
Another object of an embodiment of the present invention is to provide an auditory dysfunction monitoring apparatus, including:
an ambient sound information acquisition unit for acquiring ambient sound information;
the key information judging unit is used for carrying out voice recognition processing on the environmental sound information and judging whether preset key information exists or not;
the response judging unit is used for judging whether the user to be monitored responds to the key information when judging that the preset key information exists;
the auditory function abnormal information determining unit is used for determining auditory function abnormal information when judging that the user to be monitored does not respond to the key information;
and the abnormal information analysis processing unit is used for performing data statistics analysis processing on the auditory function abnormal information in a preset time period and determining an auditory function abnormal monitoring result.
It is a further object of embodiments of the present invention to provide a computer device comprising a memory and a processor, the memory having stored therein a computer program which, when executed by the processor, causes the processor to perform the steps of the auditory dysfunction monitoring method as described above.
It is a further object of embodiments of the present invention to provide a computer readable storage medium, having stored thereon a computer program, which, when being executed by a processor, causes the processor to carry out the steps of the auditory dysfunction monitoring method as described above.
The auditory function abnormity monitoring method provided by the embodiment of the invention judges whether preset key information exists or not by collecting the environmental sound information and carrying out voice recognition processing on the environmental sound information, further judges whether a user to be detected can respond to the key information when the preset key information exists, records the auditory function abnormity information when the preset key information does not respond, and determines the auditory function abnormity monitoring result by carrying out data statistical analysis processing on the recorded auditory function abnormity information in the subsequent process. According to the auditory function abnormity monitoring method provided by the invention, the key information existing in the environmental sound information is acquired in daily life, whether the user responds to the key information is judged, the auditory function abnormity information is counted and recorded, the early abnormity monitoring on the auditory function is realized according to the auditory function abnormity information counted and recorded, and the early auditory function abnormity risk of the user can be found early, so that the user can respond more timely.
Drawings
Fig. 1 is a flowchart illustrating steps of a method for monitoring auditory dysfunction according to an embodiment of the present invention;
FIG. 2 is a flow chart illustrating steps of another auditory dysfunction monitoring method provided by an embodiment of the present invention;
fig. 3 is a flowchart illustrating steps of another auditory dysfunction monitoring method according to an embodiment of the present invention;
fig. 4 is a flowchart illustrating steps of a further auditory dysfunction monitoring method according to an embodiment of the present invention;
fig. 5 is a flowchart illustrating steps of a further auditory dysfunction monitoring method according to an embodiment of the present invention;
FIG. 6 is a flowchart illustrating the steps of statistical analysis of auditory dysfunction information data according to an embodiment of the present invention;
fig. 7 is a schematic structural diagram of an auditory dysfunction monitoring apparatus according to an embodiment of the present invention;
fig. 8 is an internal structural diagram of a computer device for performing an auditory dysfunction monitoring method according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
As shown in fig. 1, a flowchart of steps of a method for monitoring auditory dysfunction according to an embodiment of the present invention specifically includes the following steps:
step S102, environmental sound information is acquired.
In the embodiment of the present invention, the provided auditory function abnormality monitoring method may be deployed on a hardware terminal with a certain data processing capability in a software program or processing chip manner, where the hardware terminal may be, for example, a smart phone, a smart watch, a computer, or the like, preferably, a portable smart phone or a smart watch, and certainly, considering a subsequent possible optimization scheme, the hardware terminal may preferably be capable of simultaneously acquiring acceleration data of a user, that is, the hardware terminal preferably selects a smart phone, and at this time, the auditory function abnormality monitoring method is usually an APP or a small program deployed on the smart phone of the user.
In the embodiment of the present invention, the implementation process of acquiring the environmental sound information belongs to a conventional technical means known to those skilled in the art, and the present invention is not specifically described herein, and in general, after the environmental sound information is acquired, the environmental sound information is converted into a current signal to perform subsequent processing.
And step S104, performing voice recognition processing on the environmental sound information, and judging whether preset key information exists. When judging that the preset key information exists, executing step S106; and when judging that the preset key information does not exist, executing other steps.
In the embodiment of the present invention, performing speech recognition processing on sound information also belongs to a conventional technical means known to the skilled person, and the present invention is not specifically described herein, but in general, a preset artificial intelligence learning algorithm is used to perform learning training on environmental sound information to obtain a speech recognition model, so as to complete a speech recognition processing process.
In the embodiment of the present invention, the other steps performed therein are generally to continue to acquire the environmental sound information, and perform the speech recognition processing on the environmental sound information until it is determined that the preset key information exists.
And step S106, judging whether the user to be monitored responds to the key information. When it is determined that the user to be monitored does not respond to the key information, performing step S108; and executing other steps when judging that the user to be monitored responds to the key information.
In the embodiment of the present invention, in a normal situation, when it is detected that the preset key information exists in the environmental sound information, the user should make a corresponding response to the key information, and at this time, it may be further determined whether the user makes a response to the key information to implement monitoring of the auditory function abnormality.
In the embodiment of the present invention, for example, in a specific application scenario, a user sets a name as key information in advance, when the user goes out or waits for a call in a hospital, when the name information of the user exists in the collected environmental sound of the user (i.e., when another person calls or is called), it may be determined whether the user hears the key information by determining whether the user responds, and if the user does not respond, it indicates that the user loses the key information, it may be determined that auditory function abnormality information is recorded once.
In the embodiment of the present invention, preferably, the response may be a voice response of the user or an action response, and refer to fig. 3 and the explanation thereof.
In the embodiment of the present invention, preferably, when it is determined that the user responds to the key information, other steps executed at this time may be specifically further to determine whether the user has an abnormality of listening to the trouble by determining whether the response is reasonable, and at this time, refer to fig. 5 and the explanation thereof specifically.
Step S108, determining auditory function abnormal information.
In the embodiment of the present invention, it is obvious that when the user does not respond to the key information, indicating that the user loses the key information this time, it may be determined to record the auditory function abnormality information once.
Step S110, performing data statistical analysis processing on the auditory function abnormal information in a preset time period, and determining an auditory function abnormal monitoring result.
In the embodiment of the invention, it can be understood that the randomness can be reduced and the monitoring result of the auditory dysfunction can be effectively determined by performing data statistical analysis processing on the auditory dysfunction information in the preset time period. Obviously, when the user has the auditory dysfunction information for a plurality of times within a preset time period, the user is indicated to have a potential auditory dysfunction risk. Preferably, considering the memory curve, the predetermined time period is generally selected to be 90 days.
In the embodiment of the present invention, the present invention further determines a specific implementation process of the auditory dysfunction information, so as to better characterize the risk of auditory dysfunction, specifically refer to fig. 6 and the contents explained in the description thereof.
The auditory function abnormity monitoring method provided by the embodiment of the invention judges whether preset key information exists or not by collecting the environmental sound information and carrying out voice recognition processing on the environmental sound information, further judges whether a user to be detected can respond to the key information when the preset key information exists, records the auditory function abnormity information when the preset key information does not respond, and determines the auditory function abnormity monitoring result by carrying out data statistical analysis processing on the recorded auditory function abnormity information in the subsequent process. According to the auditory function abnormity monitoring method provided by the invention, the key information existing in the environmental sound information is acquired in daily life, whether the user responds to the key information is judged, the auditory function abnormity information is counted and recorded, the early abnormity monitoring on the auditory function is realized according to the auditory function abnormity information counted and recorded, and the early auditory function abnormity risk of the user can be found earlier, so that the user can respond more timely.
Fig. 2 is a flowchart illustrating steps of another auditory dysfunction monitoring method according to an embodiment of the present invention, which is described in detail below.
In the embodiment of the present invention, the difference from the step flowchart of the auditory dysfunction monitoring method shown in fig. 1 is that after step S102, the method further includes:
and step S202, denoising the environmental sound information based on the wavelet change, and generating denoised environmental sound information.
In the embodiment of the invention, considering that the auditory function abnormality monitoring method provided by the invention is usually realized by a software program deployed on a hardware device carried by a user, the collected environmental sound information is usually the middle environmental information of daily life, and the interference of noise information exists, the method carries out noise reduction processing on the environmental sound information through wavelet change so as to eliminate the noise information in the process, so that the method can be better used for subsequent voice recognition analysis processing, and the accuracy of auditory function abnormality monitoring is effectively improved.
Fig. 3 is a flowchart illustrating steps of another auditory dysfunction monitoring method according to an embodiment of the present invention, which is described in detail below.
In the embodiment of the present invention, the difference from the step flowchart of the auditory dysfunction monitoring method shown in fig. 1 is that step S106 specifically includes:
step S202, judging whether the user to be monitored makes voice response or action response to the key information.
In the embodiment of the present invention, the response is specifically a voice response or an action response, for example, for a voice response, it may be implemented by a sound collection device similar to the collection of the environmental sound information to determine whether the user has made a voice response. The action response can be the action response of judging whether the user stops or tends to the key information through an acceleration sensor or positioning information, so that the monitoring process of the user responding to the key information is realized.
Fig. 4 is a flowchart illustrating steps of another auditory dysfunction monitoring method according to an embodiment of the present invention, which is described in detail below.
In the embodiment of the present invention, the difference from the step flowchart of the auditory dysfunction monitoring method shown in fig. 1 is that after step S108, the method further includes:
and step S402, outputting reminding information.
In the embodiment of the present invention, in addition to providing corresponding auditory function abnormality monitoring, the present invention may further implement a reminding function, and when it is detected that the user does not respond to the key information, the present invention may further remind the user of the key information by outputting the reminding information, so as to avoid the user from losing the key information, for example, by outputting an alarm sound, or by vibrating to remind the user.
In the embodiment of the invention, the reminding information is output when the user is judged not to respond to the key information, so that the monitoring on the abnormal auditory function is realized, the reminding when the auditory function is abnormal is realized, the user is ensured not to miss the key information, and the daily life of the user is more favorably utilized.
Fig. 5 is a flowchart illustrating steps of a method for monitoring auditory dysfunction according to an embodiment of the present invention, which is described in detail below.
In the embodiment of the present invention, the difference from the step flowchart of the auditory dysfunction monitoring method shown in fig. 1 is that, when it is determined in step 106 that the user to be monitored responds to the key information, other steps of other steps are executed, specifically:
step S502, semantic recognition processing is carried out on the environmental sound information according to a preset semantic recognition model, and semantic information existing in the environmental sound information is determined.
In the embodiment of the invention, the auditory function abnormity monitoring process executed on the user when the monitoring user is judged to respond to the key information is further improved. Specifically, semantic recognition processing needs to be performed on the environmental sound information to determine semantic information existing in the environmental sound information, such as greeting conversation or inquiry question.
In the embodiment of the invention, preferably, the semantic recognition model is generated in advance based on a long-short term memory network and knowledge graph training, and the semantic recognition model trained by the method can better recognize semantic information.
Step S504, judging whether the response made by the user corresponds to the semantic information according to a preset rule. When it is determined that the response made by the user does not correspond to the semantic information, performing step S108; when it is determined that the response made by the user corresponds to the semantic information, other steps are performed.
In the embodiment of the present invention, further, it may be further determined whether the response made by the user corresponds to the semantic information, and a specific determination rule may be preset, for example, when the answer obviously does not correspond to the question, it may be determined that the response made by the user does not correspond to the semantic information, or when "what you say" the response made by the user in question is determined, it may also be determined that the response made by the user does not correspond to the semantic information, where the preset rule may also be understood as an identification model trained based on training data for identifying whether the semantic information corresponds to the semantic information. And when the user makes a normal response corresponding to the semantic information, the current user does not have the problem of abnormal auditory function.
As shown in fig. 6, a flowchart of the steps of statistical analysis of auditory function abnormality information data provided in the embodiment of the present invention specifically includes the following steps:
step S602, determining whether auditory function abnormality information exists within a preset time period. When it is determined that auditory function abnormality information exists within a preset time period, executing step S604; and when judging that the auditory function abnormal information does not exist in the preset time period, executing other steps.
In the embodiment of the present invention, obviously, when it is determined that there is no auditory function abnormality information within a preset time period, other steps executed at this time are specifically to determine that there is no auditory function abnormality problem. When the auditory function abnormality information exists in the preset time period, the auditory function abnormality detection result needs to be further determined, and the result can also be understood as an auditory function abnormality risk coefficient.
Step S604, determining the number of auditory dysfunction information existing in the time period and the number of days of gap between the date of the latest auditory dysfunction information and the current date.
In the embodiment of the present invention, specifically, the auditory dysfunction risk coefficient is determined by the number of existing auditory dysfunction information and the number of days of difference between the date of the latest auditory dysfunction information and the current date. Obviously, the more the auditory dysfunction information is in the preset period, the higher the auditory dysfunction risk coefficient is, and the difference days between the date of the latest auditory dysfunction information and the current date obviously also becomes higher.
Step S606, determining the historical memory intensity of auditory function abnormality according to the forgetting curve, the number and the difference days, and determining the monitoring result of auditory function abnormality according to the historical memory intensity of auditory function abnormality.
In the embodiment of the present invention, the specific calculation formula for determining the historical memory strength R of the auditory dysfunction according to the forgetting curve, the number and the difference days is as follows:
wherein, F1Number of days of difference between date of the latest auditory dysfunction information and current date, F2For the number of the auditory function abnormality information existing in the time period, it is obvious that the larger R is, the higher the represented auditory function abnormality risk coefficient is, that is, the more likely the user has an auditory function abnormality risk, and when the auditory function abnormality risk coefficient of the user is continuously higher than a preset threshold value, it can be determined that the user has an auditory function abnormality problem.
As shown in fig. 7, a schematic structural diagram of an auditory dysfunction monitoring device provided in an embodiment of the present invention specifically includes the following units:
an ambient sound information obtaining unit 710 for obtaining ambient sound information.
In the embodiment of the present invention, the provided auditory function abnormality monitoring device may be simply understood as a hardware terminal with a certain data processing capability, where the hardware terminal may be, for example, a smart phone, a smart watch, a computer, or the like, and preferably, the hardware terminal may be a portable smart phone or a smart watch, and certainly, in consideration of a subsequent possible optimization scheme, the hardware terminal may preferably be capable of simultaneously acquiring acceleration data of a user, that is, the hardware terminal preferably selects a smart phone, and at this time, the auditory function abnormality monitoring device generally utilizes an APP or a small program deployed thereon to implement a process of acquiring environmental sound information.
In the embodiment of the present invention, the implementation process of acquiring the environmental sound information belongs to a conventional technical means known to those skilled in the art, and the present invention is not specifically described herein, and in general, after the environmental sound information is acquired, the environmental sound information is converted into a current signal to perform subsequent processing.
A key information determining unit 720, configured to perform voice recognition processing on the environmental sound information, and determine whether preset key information exists.
In the embodiment of the present invention, performing speech recognition processing on sound information also belongs to a conventional technical means known to the skilled person, and the present invention is not specifically described herein, but in general, a preset artificial intelligence learning algorithm is used to perform learning training on environmental sound information to obtain a speech recognition model, so as to complete a speech recognition processing process.
In the embodiment of the present invention, when it is determined that the preset key information exists, the response determining unit 730 is performed, and when it is determined that the preset key information does not exist, the environment sound information obtaining unit 710 is normally returned to for continuously obtaining the environment sound information, and the voice recognition processing is performed on the environment sound information until it is determined that the preset key information exists.
The response determining unit 730 is configured to determine whether the user to be monitored responds to the key information when it is determined that the preset key information exists.
In the embodiment of the present invention, in a normal situation, when it is detected that the preset key information exists in the environmental sound information, the user should make a corresponding response to the key information, and at this time, it may be further determined whether the user makes a response to the key information to implement monitoring of the auditory function abnormality.
In the embodiment of the present invention, for example, in a specific application scenario, a user sets a name as key information in advance, when the user goes out or waits for a call in a hospital, when the name information of the user exists in the collected environmental sound of the user (i.e., when another person calls or is called), it may be determined whether the user hears the key information by determining whether the user responds, and if the user does not respond, it indicates that the user loses the key information, it may be determined that auditory function abnormality information is recorded once.
In the embodiment of the present invention, preferably, the response may be a voice response of the user or an action response, and refer to fig. 3 and the explanation thereof.
In the embodiment of the present invention, when it is determined that the user does not respond to the key information, it goes to the auditory-function-abnormality-information determining unit 740 to determine auditory-function abnormality information.
In the embodiment of the present invention, it is preferable that when it is determined that the user responds to the key information, it is further determined whether the user has an abnormality of listening to the trouble by determining whether the response is reasonable, and in this case, refer to fig. 5 and the explanation thereof specifically.
And an auditory function abnormality information determination unit 740 for determining auditory function abnormality information when it is judged that the user to be monitored does not respond to the key information.
In the embodiment of the present invention, it is obvious that when the user does not respond to the key information, indicating that the user loses the key information this time, it may be determined to record the auditory function abnormality information once.
And an abnormal information analysis processing unit 750, configured to perform data statistics analysis processing on the auditory function abnormal information within a preset time period, and determine an auditory function abnormal monitoring result.
In the embodiment of the invention, it can be understood that the randomness can be reduced and the monitoring result of the auditory dysfunction can be effectively determined by performing data statistical analysis processing on the auditory dysfunction information in the preset time period. Obviously, when the user has the auditory dysfunction information for a plurality of times within a preset time period, the user is indicated to have a potential auditory dysfunction risk. Preferably, considering the memory curve, the predetermined time period is generally selected to be 90 days.
In the embodiment of the present invention, the present invention further determines a specific implementation process of the auditory dysfunction information, so as to better characterize the risk of auditory dysfunction, specifically refer to fig. 6 and the contents explained in the description thereof.
The auditory function abnormality monitoring device provided by the embodiment of the invention judges whether preset key information exists or not by acquiring the environmental sound information and performing voice recognition processing on the environmental sound information, further judges whether a user to be detected can respond to the key information when the preset key information exists, records the auditory function abnormality information when the preset key information does not respond, and determines an auditory function abnormality monitoring result by performing data statistical analysis processing on the recorded auditory function abnormality information in the subsequent process. According to the auditory function abnormality monitoring device provided by the invention, the key information existing in the environmental sound information is acquired in daily life, whether the user responds to the key information is judged, the auditory function abnormality information is counted and recorded, the early abnormality monitoring on the auditory function is realized according to the auditory function abnormality information counted and recorded, and the early auditory function abnormality risk of the user can be found earlier, so that the user can respond more timely.
FIG. 8 is a diagram illustrating an internal structure of a computer device in one embodiment. As shown in fig. 8, the computer apparatus includes a processor, a memory, a network interface, an input device, and a display screen connected through a system bus. Wherein the memory includes a non-volatile storage medium and an internal memory. The non-volatile storage medium of the computer device stores an operating system and may also store a computer program which, when executed by the processor, causes the processor to implement the auditory dysfunction monitoring method. The internal memory may also have stored therein a computer program that, when executed by the processor, causes the processor to perform an auditory dysfunction monitoring method. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, a key, a track ball or a touch pad arranged on the shell of the computer equipment, an external keyboard, a touch pad or a mouse and the like.
Those skilled in the art will appreciate that the architecture shown in fig. 8 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, the auditory dysfunction monitoring apparatus provided herein may be embodied in the form of a computer program that is executable on a computer device such as that shown in fig. 8. The memory of the computer device may store various program modules constituting the auditory dysfunction monitoring apparatus, such as the ambient sound information acquisition unit 710, the key information determination unit 720, and the response determination unit 730 shown in fig. 8, and the like. The respective program modules constitute computer programs that cause the processor to execute the steps in the auditory dysfunction monitoring method of the various embodiments of the present application described in the present specification.
For example, the computer device shown in fig. 8 may execute step S102 by the ambient sound information acquisition unit 710 in the auditory dysfunction monitoring apparatus shown in fig. 7; the computer device may perform step S104 through the key information judging unit 720; the computer apparatus may perform step S106 by the response judging unit 730.
In one embodiment, a computer device is proposed, the computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the following steps when executing the computer program:
acquiring environmental sound information;
performing voice recognition processing on the environmental sound information, and judging whether preset key information exists or not;
when the preset key information is judged to exist, judging whether a user to be monitored responds to the key information;
when the fact that the user to be monitored does not respond to the key information is judged, auditory function abnormal information is determined;
and performing data statistical analysis processing on the auditory function abnormality information in a preset time period to determine an auditory function abnormality monitoring result.
In one embodiment, a computer readable storage medium is provided, having a computer program stored thereon, which, when executed by a processor, causes the processor to perform the steps of:
acquiring environmental sound information;
performing voice recognition processing on the environmental sound information, and judging whether preset key information exists or not;
when the preset key information is judged to exist, judging whether a user to be monitored responds to the key information;
when the fact that the user to be monitored does not respond to the key information is judged, auditory function abnormal information is determined;
and performing data statistical analysis processing on the auditory function abnormality information in a preset time period to determine an auditory function abnormality monitoring result.
It should be understood that, although the steps in the flowcharts of the embodiments of the present invention are shown in sequence as indicated by the arrows, the steps are not necessarily performed in sequence as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a portion of the steps in various embodiments may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternately with other steps or at least a portion of the sub-steps or stages of other steps.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a non-volatile computer-readable storage medium, and can include the processes of the embodiments of the methods described above when the program is executed. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.
Claims (10)
1. An auditory dysfunction monitoring method, comprising:
acquiring environmental sound information;
performing voice recognition processing on the environmental sound information, and judging whether preset key information exists or not;
when the preset key information is judged to exist, judging whether a user to be monitored responds to the key information;
when the fact that the user to be monitored does not respond to the key information is judged, auditory function abnormal information is determined;
and performing data statistical analysis processing on the auditory function abnormality information in a preset time period to determine an auditory function abnormality monitoring result.
2. An auditory dysfunction monitoring method according to claim 1, characterized by further comprising, after the step of acquiring ambient sound information:
and performing denoising processing on the environmental sound information based on the wavelet change to generate denoised environmental sound information.
3. An auditory dysfunction monitoring method according to claim 1, characterized in that the step of determining whether the user to be monitored responds to the key information, in particular to determine whether the user to be monitored responds to the key information
Judging whether the user to be monitored makes a voice response or an action response to the key information;
when the user to be monitored is judged not to respond to the key information, the step of determining auditory function abnormal information specifically comprises the following steps:
and when the user to be monitored is judged not to make a voice response or an action response to the key information, determining auditory function abnormal information.
4. The auditory dysfunction monitoring method of claim 1, further comprising, after the step of determining auditory dysfunction information: and outputting the reminding information.
5. An auditory dysfunction monitoring method according to claim 1, characterized in that after the step of determining whether the user to be monitored responds to the key information, it further comprises:
when judging that the user to be monitored responds to the key information, performing semantic recognition processing on the environmental sound information according to a preset semantic recognition model to determine semantic information existing in the environmental sound information;
judging whether the response made by the user corresponds to the semantic information according to a preset rule;
and when the response made by the user is judged not to correspond to the semantic information, determining auditory function abnormity information.
6. An auditory dysfunction monitoring method according to claim 5, characterized in that the semantic recognition model is generated in advance based on a long-short term memory network and knowledge-graph training.
7. The auditory dysfunction monitoring method according to claim 1, wherein the step of performing data statistical analysis on the auditory dysfunction information within a preset time period to determine the auditory dysfunction monitoring result specifically comprises:
judging whether auditory function abnormal information exists in a preset time period or not;
when judging whether auditory function abnormal information exists in a preset time period, determining the number of the auditory function abnormal information existing in the time period and the number of days of the gap between the date of the latest auditory function abnormal information and the current date;
and determining the historical memory intensity of the auditory dysfunction according to the forgetting curve, the quantity and the difference days, and determining the monitoring result of the auditory dysfunction according to the historical memory intensity of the auditory dysfunction.
8. An auditory dysfunction monitoring device, comprising:
an ambient sound information acquisition unit for acquiring ambient sound information;
the key information judging unit is used for carrying out voice recognition processing on the environmental sound information and judging whether preset key information exists or not;
the response judging unit is used for judging whether the user to be monitored responds to the key information when judging that the preset key information exists;
the auditory function abnormal information determining unit is used for determining auditory function abnormal information when judging that the user to be monitored does not respond to the key information;
and the abnormal information analysis processing unit is used for performing data statistics analysis processing on the auditory function abnormal information in a preset time period and determining an auditory function abnormal monitoring result.
9. A computer arrangement comprising a memory and a processor, the memory having stored therein a computer program which, when executed by the processor, causes the processor to carry out the steps of the auditory dysfunction monitoring method according to any one of claims 1 to 7.
10. A computer-readable storage medium, characterized in that a computer program is stored on the computer-readable storage medium, which computer program, when being executed by a processor, causes the processor to carry out the steps of the auditory dysfunction monitoring method according to one of the claims 1 to 7.
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