CN106725514B - A kind of data processing method and its device - Google Patents
A kind of data processing method and its device Download PDFInfo
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- CN106725514B CN106725514B CN201510827474.8A CN201510827474A CN106725514B CN 106725514 B CN106725514 B CN 106725514B CN 201510827474 A CN201510827474 A CN 201510827474A CN 106725514 B CN106725514 B CN 106725514B
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Abstract
The embodiment of the invention discloses a kind of data processing methods, are applied to terminal；The described method includes: obtaining at least two primary sources information, wherein primary sources information includes the data information that can characterize the corresponding physiological characteristic reference parameter of same first detection body；Obtain at least two secondary sources information, wherein secondary sources information can characterize physiological health reference policy；And at least two secondary sources information matches at least two primary sources information；Data processing is carried out at least two primary sources information and at least two secondary sources information, obtains physiological health detection model.The embodiment of the invention also discloses a kind of data processing equipments.
Description
Technical field
The present invention relates to data processing technique more particularly to a kind of data processing method and its devices.
Background technique
Tinnitus is a kind of chronic disease, and tinnitus occurred in the population in China 15%, and more serious tinnitus patient has more than 2,000 ten thousand
People, mood, life, sleep and the work of patient can all be affected.
Existing tinnitus diagnosis and treatment method includes Masking, i.e., by playing specific sound, to shelter entirely or part is sheltered
Tinnitus sound even makes tinnitus disappear to achieve the effect that alleviate tinnitus.In existing Masking, tinnitus treatment expert's root is often needed
The match selection of tinnitus mode and the determination of therapeutic scheme are carried out according to experience, it is more demanding to Expert Resources；Moreover, because
Patient lacks experience and background knowledge, if in advance allow patient independently perceive select tinnitus mode, need repeatedly to operate repeatedly, efficiency compared with
Low, accuracy is poor.Therefore, a kind of new types of data processing model is needed, according to the output of the input data of patient and the input number
According to matched as a result, to solve the above problems.
Summary of the invention
To solve existing technical problem, the embodiment of the invention provides a kind of data processing method and its devices.
The technical solution of the embodiment of the present invention is achieved in that
The embodiment of the invention provides a kind of data processing methods, are applied to terminal；The described method includes:
Obtain at least two primary sources information, wherein primary sources information includes that can characterize same first detection
The data information of the corresponding physiological characteristic reference parameter of body；
Obtain at least two secondary sources information, wherein secondary sources information can characterize physiological health with reference to plan
Slightly；And at least two secondary sources information matches at least two primary sources information；
Data processing is carried out at least two primary sources information and at least two secondary sources information,
Obtain physiological health detection model.
In above scheme, the physiological characteristic reference parameter is included at least: detection parameters；Accordingly, the he first-class numbert
It is believed that comprising the described first the first data for detecting the corresponding detection parameters of body can be characterized in breath；
The method also includes:
Acoustic detection is carried out to the first detection body according to default detected rule, obtains first group of detection data；It is described
First group of detection data can characterize the corresponding relationship between frequency and intensity of sound；
Difference processing is carried out to first group of detection data, to determine the first number in first group of detection data
According to.
It is described that difference processing is carried out to first group of detection data in above scheme, in first group of testing number
The first data are determined in, comprising:
By difference processing method, judge whether the corresponding frequency of intensity of sound meets pre- in first group of detection data
If regular；Wherein, and simultaneously greater than latter when the corresponding intensity of sound of current frequency is greater than the corresponding intensity of sound of previous frequency
The corresponding intensity of sound of frequency, then current frequency meets the preset rules；
According to judging result, the corresponding frequency of intensity of sound in first group of detection data is met to the frequency of preset rules
Rate is as the first data.
In above scheme, the physiological characteristic reference parameter is included at least: acquisition parameter；Accordingly, the he first-class numbert
It is believed that breath is comprising that can characterize corresponding second data of the acquisition parameter；
The method also includes:
Acquire the corresponding reference data of the first detection body；
The corresponding identification information of the reference data is obtained, the identification information is determined as the second data.
In above scheme, at least two primary sources information of the acquisition, comprising:
Obtain the first data and the second data；
Primary sources information is determined according to first data and the second data；
Obtain at least two primary sources information.
In above scheme, the method also includes:
Obtain the corresponding primary sources information of target detection body；
According to the physiological health detection model, data are carried out to the corresponding primary sources information of the target detection body
Processing, obtains secondary sources information corresponding with the target detection body；
Export secondary sources information corresponding with the target detection body.
The embodiment of the invention also provides a kind of data processing equipments, comprising:
First acquisition unit, for obtaining at least two primary sources information, wherein primary sources information includes energy
Characterize the data information of the corresponding physiological characteristic reference parameter of same first detection body；
Second acquisition unit, for obtaining at least two secondary sources information, wherein secondary sources information being capable of table
Levy physiological health reference policy；And at least two secondary sources information and at least two primary sources information phase
Matching；
Processing unit, for at least two primary sources information and at least two secondary sources information
Data processing is carried out, physiological health detection model is obtained.
In above scheme, the physiological characteristic reference parameter is included at least: detection parameters；Accordingly, the he first-class numbert
It is believed that comprising the described first the first data for detecting the corresponding detection parameters of body can be characterized in breath；The data processing equipment is also
Include:
First determination unit obtains for carrying out Acoustic detection to the first detection body according to presetting detected rule
One group of detection data；First group of detection data can characterize the corresponding relationship between frequency and intensity of sound；It is also used to pair
First group of detection data carries out difference processing, to determine the first data in first group of detection data.
In above scheme, first determination unit, comprising:
Difference processing subelement, for judging intensity of sound in first group of detection data by difference processing method
Whether corresponding frequency meets preset rules；Wherein, when the corresponding intensity of sound of current frequency is greater than the corresponding sound of previous frequency
Loudness of a sound degree, and the simultaneously greater than corresponding intensity of sound of latter frequency, then current frequency meets the preset rules；
Judgment sub-unit is used for according to judging result, by the corresponding frequency of intensity of sound in first group of detection data
Meet the frequency of preset rules as the first data.
In above scheme, the physiological characteristic reference parameter is included at least: acquisition parameter；Accordingly, the he first-class numbert
It is believed that breath is comprising that can characterize corresponding second data of the acquisition parameter；The data processing equipment further include:
Second determination unit, for acquiring the corresponding reference data of the first detection body；It is also used to obtain the reference
The identification information is determined as the second data by the corresponding identification information of data.
In above scheme, the first acquisition unit is also used to obtain the first data and the second data；It is also used to according to institute
It states the first data and the second data determines primary sources information.
In above scheme, the data processing equipment further include: third acquiring unit and output unit；Wherein,
The third acquiring unit, for obtaining the corresponding primary sources information of target detection body；
The processing unit is also used to according to the physiological health detection model, and corresponding to the target detection body
A kind of data information carries out data processing, obtains secondary sources information corresponding with the target detection body；
The output unit, for exporting secondary sources information corresponding with the target detection body.
Data processing method described in the embodiment of the present invention and its device, by obtain at least two he first-class numberts it is believed that
Breath, and at least two secondary sources information are obtained, at least two primary sources information and described at least two
Secondary sources information carries out data processing, in this way, obtain physiological health detection model, realize according to primary sources information and
The purpose of secondary sources Automatic generation of information physiological health detection model.Moreover, obtaining he first-class numbert in the embodiment of the present invention
It is believed that the process of breath and secondary sources information can be collected by intelligent terminal, reduces the operating process of user, improve
User experience.
Detailed description of the invention
Fig. 1 is the implementation process schematic diagram of data processing method of the embodiment of the present invention；
Fig. 2 is the structural schematic diagram one of data processing equipment of the embodiment of the present invention；
Fig. 3 is the structural schematic diagram two of data processing equipment of the embodiment of the present invention；
Fig. 4 is audiogram of embodiment of the present invention schematic diagram.
Specific embodiment
In order to more fully hereinafter understand the features of the present invention and technology contents, with reference to the accompanying drawing to reality of the invention
It is now described in detail, appended attached drawing purposes of discussion only for reference, is not used to limit the present invention.
Embodiment
Fig. 1 is the implementation process schematic diagram one of data processing method of the embodiment of the present invention；The method is applied at data
Manage device, the data processing equipment can integrate in terminal, the terminal can be specially smart phone, tablet computer,
Any electronic equipment such as PC；As shown in Figure 1, which comprises
Step 101: obtaining at least two primary sources information, wherein primary sources information is same comprising that can characterize
The data information of the corresponding physiological characteristic reference parameter of first detection body；
In the present embodiment, the physiological characteristic reference parameter may include following parameter: detection parameters and acquisition parameter；Tool
Body, the detection parameters can be specially hearing detection parameter, and the acquisition parameter can be specially medical history and/or patient master
Tell corresponding parameter；Accordingly, the primary sources information includes the first data corresponding with the detection parameters, and
The second data corresponding with the acquisition parameter.
Here it is worth noting that each primary sources information corresponds in same detection process, same first detection
The data of body.That is, each primary sources information includes that can characterize same first detection body in same detection process
The data information of corresponding physiological characteristic reference parameter.Further, different primary sources information can characterize same
Data information in the corresponding different detection process of one detection body, is also possible to difference first and detects the corresponding data of body.
In one embodiment, the physiological characteristic reference parameter includes at least: detection parameters；Accordingly, described
Comprising the described first the first data for detecting the corresponding detection parameters of body can be characterized in a kind of data information；At this point, described
The determination process of one data specifically includes:
Acoustic detection is carried out to the first detection body according to default detected rule, obtains first group of detection data；It is described
First group of detection data can characterize the corresponding relationship between frequency and intensity of sound；It is poor to carry out to first group of detection data
Divide processing, to determine the first data in first group of detection data.
In practical applications, when the detection parameters are specially hearing detection parameter, first group of detection data can
With frequency and intensity of sound during embodiments hearing detection, such as the corresponding relationship between decibels；First data are then
Candidate Frequency in the corresponding relationship.
Further, described that difference processing is carried out to first group of detection data, in first group of detection data
In determine the first data, comprising:
By difference processing method, judge whether the corresponding frequency of intensity of sound meets pre- in first group of detection data
If regular；Wherein, and simultaneously greater than latter when the corresponding intensity of sound of current frequency is greater than the corresponding intensity of sound of previous frequency
The corresponding intensity of sound of frequency, then current frequency meets the preset rules；
According to judging result, the corresponding frequency of intensity of sound in first group of detection data is met to the frequency of preset rules
Rate is as the first data.
In practical applications, the difference processing method can be with specifically: before subtracting the corresponding decibels of current frequency
The corresponding decibels of one frequency are as the first difference value；Further, the corresponding decibels of latter frequency are subtracted into current frequency
Corresponding decibel data are described to work as when first difference value is positive number, and the second difference value is negative as the second difference value
Preceding frequency then meets the preset rules, further, using current frequency as Candidate Frequency namely the first data.
In another embodiment, the physiological characteristic reference parameter includes at least: acquisition parameter；Accordingly, described
Primary sources information includes that can characterize corresponding second data of the acquisition parameter；At this point, the determination of second data
Process includes: the corresponding reference data of acquisition the first detection body；The corresponding identification information of the reference data is obtained, by institute
It states identification information and is determined as the second data.
In practical applications, to need in advance to different references convenient for getting the corresponding identification information of reference data
Different identification informations is arranged in data, corresponds reference data and identification information, meanwhile, it generates reference data and mark is believed
The mapping table of breath；Here, the mapping table can store in the terminal, be stored in other terminals
In, as long as the terminal can get the mapping table, and determine that reference data is corresponding by the mapping table
Identification information.The reference data can be specially cerebral infarction, hypertension etc.；The identification information can be specially number,
Such as 1,2.
In a concrete application, the acquisition parameter can be both including medical history or including patient main suit；At this point, described second
Data can specifically include the first subdata and the second subdata；First subdata is used to characterize the medical history of the first detection body
Corresponding identification information；Second subdata is used to characterize the corresponding identification information of main suit of the first detection body.Here, in reality
In the application of border, the data amount check in second data can be arranged according to actual needs and arbitrarily, not limit in the present embodiment
System.
Here, when the physiological characteristic reference parameter includes detection parameters and acquisition parameter, the he first-class numbert it is believed that
Breath then includes the first data and the second data；Specifically, at least two primary sources information of the acquisition in step 101,
It include: to obtain the first data and the second data；Primary sources information is determined according to first data and the second data；It obtains
Take at least two primary sources information.In this way, determining primary sources information, mould is detected further to establish physiological health
Type has established data basis.
Step 102: obtaining at least two secondary sources information, wherein it is strong that secondary sources information can characterize physiology
Health reference policy；And at least two secondary sources information matches at least two primary sources information；
In the present embodiment, the secondary sources information is the data information to match with the primary sources information,
Specifically, when the first data that the primary sources information includes the corresponding detection parameters of characterization the first detection body, and packet
The second data for characterizing the corresponding acquisition parameter of the first detection body are included, at this point, the secondary sources information can then have
Body surface levies physiological health reference policy corresponding with first data and the second data；That is, the secondary sources
The physiological health reference policy that information is characterized is the reference policy determined according to first data and the second data.
Step 103: at least two primary sources information and at least two secondary sources information are carried out
Data processing obtains physiological health detection model.
In one embodiment, after automatically generating physiological health detection model according to the process of step 101 to 103,
Target detection body can be detected according to physiological health detection model, with output and the target detection body corresponding first
The secondary sources information that class data information matches, in this way, realizing the purpose for carrying out health detection according to data model；Specifically
Ground,
Obtain the corresponding primary sources information of target detection body；
According to the physiological health detection model, data are carried out to the corresponding primary sources information of the target detection body
Processing, obtains secondary sources information corresponding with the target detection body；
Export secondary sources information corresponding with the target detection body.
In practical applications, step 103 can be calculated using support vector machines (SVM, Support Vector Machine)
Method determines physiological health detection model, accesses without user.
Data processing method described in the embodiment of the present invention by least two primary sources information of acquisition, and obtains
At least two secondary sources information are taken, at least two primary sources information and at least two secondary sources
Information carries out data processing, in this way, obtaining physiological health detection model, realizes according to primary sources information and secondary sources
The purpose of Automatic generation of information physiological health detection model.Moreover, in the embodiment of the present invention, primary sources information and the are obtained
The process of two class data informations can be collected by intelligent terminal, reduce the operating process of user, the user experience is improved.
In addition, the embodiment of the present invention can also be detected using the physiological health after determining physiological health detection model
Model be different target detection bodies determine the he second-class number to match with the primary sources information of target detection body it is believed that
Breath, this process are to automatically determine process, are accessed without user, without the experience of reference user；Moreover, because in practical application
In, it determines that the process of physiological health detection model is big data treatment process, therefore, determines he second-class number with reference user experience
It is believed that the process of breath is compared, the accuracy for the secondary sources information determined using the physiological health detection model is higher, more
It is able to satisfy user demand, further the user experience is improved.
To realize the above method, the embodiment of the invention also provides a kind of data processing equipments, as shown in Fig. 2, the number
Include: according to processing unit
First acquisition unit 211, for obtaining at least two primary sources information, wherein primary sources packet
Containing the data information that can characterize the corresponding physiological characteristic reference parameter of same first detection body；
Second acquisition unit 212, for obtaining at least two secondary sources information, wherein secondary sources information energy
Enough characterize physiological health reference policy；And at least two secondary sources information and at least two he first-class numbert it is believed that
Manner of breathing matching；
Processing unit 213, for at least two primary sources information and at least two secondary sources
Information carries out data processing, obtains physiological health detection model.
In above scheme, the physiological characteristic reference parameter is included at least: detection parameters；Accordingly, the he first-class numbert
It is believed that comprising the described first the first data for detecting the corresponding detection parameters of body can be characterized in breath；The data processing equipment is also
Include:
First determination unit obtains for carrying out Acoustic detection to the first detection body according to presetting detected rule
One group of detection data；First group of detection data can characterize the corresponding relationship between frequency and intensity of sound；It is also used to pair
First group of detection data carries out difference processing, to determine the first data in first group of detection data.
In above scheme, first determination unit, comprising:
Difference processing subelement, for judging intensity of sound in first group of detection data by difference processing method
Whether corresponding frequency meets preset rules；Wherein, when the corresponding intensity of sound of current frequency is greater than the corresponding sound of previous frequency
Loudness of a sound degree, and the simultaneously greater than corresponding intensity of sound of latter frequency, then current frequency meets the preset rules；
Judgment sub-unit is used for according to judging result, by the corresponding frequency of intensity of sound in first group of detection data
Meet the frequency of preset rules as the first data.
In above scheme, the physiological characteristic reference parameter is included at least: acquisition parameter；Accordingly, the he first-class numbert
It is believed that breath is comprising that can characterize corresponding second data of the acquisition parameter；The data processing equipment further include:
Second determination unit, for acquiring the corresponding reference data of the first detection body；It is also used to obtain the reference
The identification information is determined as the second data by the corresponding identification information of data.
In above scheme, the first acquisition unit is also used to obtain the first data and the second data；It is also used to according to institute
It states the first data and the second data determines primary sources information.
In above scheme, the data processing equipment further include: third acquiring unit and output unit；Wherein,
The third acquiring unit, for obtaining the corresponding primary sources information of target detection body；
The processing unit is also used to according to the physiological health detection model, and corresponding to the target detection body
A kind of data information carries out data processing, obtains secondary sources information corresponding with the target detection body；
The output unit, for exporting secondary sources information corresponding with the target detection body.
It will be appreciated by those skilled in the art that in the data processing equipment of the embodiment of the present invention each processing unit function,
It can refer to the associated description of aforementioned data processing method and understand.
In practical applications, in the data processing equipment unit division, only a kind of logical function partition is practical
There may be another division manner when realization, another division mode is given in following application scenarios.
For the above-described data processing method of book is further described, a concrete application field is given in the present embodiment
Scape includes two processes, i.e. modeling process and tinnitus masking treatment schemes generation process in the concrete application scene；
To illustrate that the application scenarios, the present embodiment additionally provide the data processing equipment for matching the application scenarios；Such as
Described in Fig. 3, which includes: data acquisition module, preprocessing module and model building module；Wherein,
The data acquisition module, for acquiring medical history, main suit, audiogram and the tinnitus masking treatment scheme of a large amount of patients
Corresponding data；Specifically, the data acquisition module includes: history-taking submodule, main suit acquisition submodule, audiogram
Acquire submodule, tinnitus masking treatment scheme acquires submodule；
The preprocessing module, for the data collecting module collected to mass data pre-process；Specifically
Ground, the preprocessing module include: medical history pretreatment submodule, main suit pretreatment submodule, audiogram preprocessing module, tinnitus
Masking treatment Conditioning regimen submodule；
The model building module, the preprocessed data for being exported according to the preprocessing module, utilizes SVM algorithm intelligence
Tinnitus masking treatment scheme model can be generated.
The first step, data acquisition, specifically,
The history-taking submodule, for acquiring the medical history of patient, such as: cerebral insufficiency, cerebral infarction, hypertension, glycosuria
Disease, cervical spondylosis etc.；
The main suit acquires submodule, for acquiring the tinnitus main suit of patient, such as: the cicada cried, drone, it is sharp, droning；
The audiogram acquires submodule, for acquiring the audiogram of patient, such as frequency acquisition is 125,250,500,
750, decibels corresponding to 1k, 1.5k, 2k, 3k, 4k, 6k, 8k obtain audiogram, as shown in Figure 4；
The tinnitus masking treatment scheme acquires submodule, for acquiring the tinnitus masking treatment scheme of patient, such as tinnitus
The basic frequency of masking treatment.
Second step, pretreatment, specifically,
The medical history pre-processes submodule, and user, which obtains, is mapped as corresponding mark for medical history, i.e. generation medical history mark, such as
Number, specifically: cerebral insufficiency is corresponding 11, cerebral infarction is corresponding 12, hypertension is corresponding 13, diabetes are corresponding 14, cervical spondylosis is corresponding
15；
The main suit pre-processes submodule, and for main suit to be mapped as corresponding mark, i.e., generation main suit identifies, in full
Word, specifically: correspondence 21 that the cicada cried, sharply corresponds to 23, droning correspondence 24 at drone correspondence 22；
The audiogram pre-processes submodule, for carrying out at difference to the corresponding decibels of frequency each in audiogram
The corresponding decibels of current frequency specifically, are subtracted the corresponding decibels of previous frequency as the first difference value by reason；It will be latter
The corresponding decibels of frequency subtract the corresponding decibel data of current frequency as the second difference value, when first difference value is positive
Number, when the second difference value is negative, the current frequency is as Candidate Frequency, as shown in figure 4, frequency 4K is Candidate Frequency；
Meet the Candidate Frequency of above-mentioned condition if it does not exist, then using the maximum current frequency of difference value as Candidate Frequency；The candidate
Frequency is audiogram pretreatment submodule treated data；
The tinnitus masking treatment Conditioning regimen submodule, for determining dominant frequency corresponding to tinnitus masking treatment scheme
Rate.
Third step, model foundation, specifically,
The model building module, corresponding to a large amount of patients for being exported after pretreatment using the preprocessing module
Data establish the relational model between patient medical history, main suit, audiogram and tinnitus masking treatment scheme using SVM algorithm；
Wherein, medical history identifies, the Candidate Frequency of main suit's mark, audiogram is used as input attribute, corresponding to tinnitus masking treatment scheme
Basic frequency is as output attribute.
In practical applications, the model building module can specifically include: model foundation submodule and prediction submodule；
Wherein, the model foundation submodule is for establishing the pass between patient medical history, main suit, audiogram and tinnitus masking treatment scheme
It is model；The prediction submodule, for being determined and being exported according to the target patient medical history of input, main suit, audiogram and institute
State the matched tinnitus masking treatment scheme of target patient.
In practical applications, the data acquisition module, preprocessing module and model building module can be at intelligent ends
It is realized in end, that is to say, that the data processing equipment is realized in an intelligent terminal.
In the present embodiment, patient medical history, main suit, audiogram and tinnitus masking treatment side are collected by data processing equipment
Case, and it is pre-processed, difference processing especially is carried out to the decibels of each frequency of audiogram, is realized according to medical history, master
It tells, audiogram and tinnitus masking treatment scheme automatically generate between patient medical history, main suit, audiogram and tinnitus masking treatment scheme
Relational model purpose.Simultaneously using medical history mark, main suit mark, audiogram Candidate Frequency as input attribute, by tinnitus
Basic frequency corresponding to masking treatment scheme as output attribute, realize using the relational model automatically generate tinnitus masking control
The purpose for the treatment of scheme realizes the liberation to doctor's resource, improves efficiency.
It should be understood by those skilled in the art that, the embodiment of the present invention can provide as method, system or computer program
Product.Therefore, the shape of hardware embodiment, software implementation or embodiment combining software and hardware aspects can be used in the present invention
Formula.Moreover, the present invention, which can be used, can use storage in the computer that one or more wherein includes computer usable program code
The form for the computer program product implemented on medium (including but not limited to magnetic disk storage and optical memory etc.).
The present invention be referring to according to the method for the embodiment of the present invention, the process of equipment (system) and computer program product
Figure and/or block diagram describe.It should be understood that every one stream in flowchart and/or the block diagram can be realized by computer program instructions
The combination of process and/or box in journey and/or box and flowchart and/or the block diagram.It can provide these computer programs
Instruct the processor of general purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices to produce
A raw machine, so that being generated by the instruction that computer or the processor of other programmable data processing devices execute for real
The device for the function of being specified in present one or more flows of the flowchart and/or one or more blocks of the block diagram.
These computer program instructions, which may also be stored in, is able to guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works, so that it includes referring to that instruction stored in the computer readable memory, which generates,
Enable the manufacture of device, the command device realize in one box of one or more flows of the flowchart and/or block diagram or
The function of being specified in multiple boxes.
These computer program instructions also can be loaded onto a computer or other programmable data processing device, so that counting
Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, thus in computer or
The instruction executed on other programmable devices is provided for realizing in one or more flows of the flowchart and/or block diagram one
The step of function of being specified in a box or multiple boxes.
The above is only the embodiment of the embodiment of the present invention, it is noted that for the ordinary skill of the art
For personnel, without departing from the principles of the embodiments of the present invention, can also make several improvements and retouch, these improve and
Retouching also should be regarded as the protection scope of the embodiment of the present invention.
Claims (9)
1. a kind of data processing method, which is characterized in that the method is applied to terminal；The described method includes:
Obtain at least two primary sources information, wherein primary sources information includes that can characterize same first detection body pair
The data information for the physiological characteristic reference parameter answered；
Obtain at least two secondary sources information, wherein secondary sources information can characterize physiological health reference policy；And
At least two secondary sources information matches at least two primary sources information；
Data processing is carried out at least two primary sources information and at least two secondary sources information, is obtained
Physiological health detection model；
Wherein, the physiological characteristic reference parameter includes at least: detection parameters；Accordingly, it is wrapped in the primary sources information
Containing the first data that can characterize the corresponding detection parameters of the first detection body；
The method also includes:
Acoustic detection is carried out to the first detection body, obtains first group of detection data；First group of detection data being capable of table
Levy the corresponding relationship between frequency and intensity of sound；
Difference processing is carried out to first group of detection data, to determine the first data in first group of detection data.
2. the method according to claim 1, wherein described carry out at difference first group of detection data
Reason, to determine the first data in first group of detection data, comprising:
By difference processing method, judge whether the corresponding frequency of intensity of sound meets default rule in first group of detection data
Then；Wherein, when the corresponding intensity of sound of current frequency is greater than the corresponding intensity of sound of previous frequency, and simultaneously greater than latter frequency
Corresponding intensity of sound, then current frequency meets the preset rules；
According to judging result, the frequency that the corresponding frequency of intensity of sound in first group of detection data meets preset rules is made
For the first data.
3. method according to claim 1 or 2, which is characterized in that the physiological characteristic reference parameter includes at least: acquisition
Parameter；Accordingly, the primary sources information includes that can characterize corresponding second data of the acquisition parameter；
The method also includes:
Acquire the corresponding reference data of the first detection body；
The corresponding identification information of the reference data is obtained, the identification information is determined as the second data.
4. according to the method described in claim 3, it is characterized in that, at least two primary sources information of the acquisition, comprising:
Obtain the first data and the second data；
Primary sources information is determined according to first data and the second data；
Obtain at least two primary sources information.
5. a kind of data processing equipment characterized by comprising
First acquisition unit, for obtaining at least two primary sources information, wherein primary sources information includes that can characterize
Same first detects the data information of the corresponding physiological characteristic reference parameter of body；
Second acquisition unit, for obtaining at least two secondary sources information, wherein secondary sources information can characterize life
Manage healthy reference policy；And at least two secondary sources information and at least two primary sources information phase
Match；
Processing unit, for being carried out at least two primary sources information and at least two secondary sources information
Data processing obtains physiological health detection model；
The physiological characteristic reference parameter includes at least: detection parameters；Accordingly, including in the primary sources information can
Characterize the first data of the corresponding detection parameters of the first detection body；The data processing equipment further include:
First determination unit obtains first group of detection data for carrying out Acoustic detection to the first detection body；Described first
Group detection data can characterize the corresponding relationship between frequency and intensity of sound；It is also used to carry out first group of detection data
Difference processing, to determine the first data in first group of detection data.
6. data processing equipment according to claim 5, which is characterized in that first determination unit, comprising:
Difference processing subelement, for by difference processing method, judging that intensity of sound is corresponding in first group of detection data
Frequency whether meet preset rules；Wherein, when the corresponding intensity of sound of current frequency is strong greater than the corresponding sound of previous frequency
Degree, and the simultaneously greater than corresponding intensity of sound of latter frequency, then current frequency meets the preset rules；
Judgment sub-unit, for according to judging result, the corresponding frequency of intensity of sound in first group of detection data to be met
The frequency of preset rules is as the first data.
7. data processing equipment according to claim 5 or 6, which is characterized in that the physiological characteristic reference parameter is at least
It include: acquisition parameter；Accordingly, the primary sources information includes that can characterize corresponding second number of the acquisition parameter
According to；The data processing equipment further include:
Second determination unit, for acquiring the corresponding reference data of the first detection body；It is also used to obtain the reference data
The identification information is determined as the second data by corresponding identification information.
8. data processing equipment according to claim 7, which is characterized in that the first acquisition unit is also used to obtain
First data and the second data；It is also used to determine primary sources information according to first data and the second data.
9. data processing equipment according to claim 8, which is characterized in that the data processing equipment further include: third
Acquiring unit and output unit；Wherein,
The third acquiring unit, for obtaining the corresponding primary sources information of target detection body；
The processing unit is also used to according to the physiological health detection model, the first kind corresponding to the target detection body
Data information carries out data processing, obtains secondary sources information corresponding with the target detection body；
The output unit, for exporting secondary sources information corresponding with the target detection body.
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| CN109509533A (en) * | 2018-10-27 | 2019-03-22 | 平安医疗健康管理股份有限公司 | A kind of processing method and processing device of diagnosis and treatment data |
| CN110613459B (en) * | 2019-09-12 | 2023-03-24 | 江苏贝泰福医疗科技有限公司 | Tinnitus and deafness detection test matching and treatment system based on shared cloud computing platform |
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