CN101859348B - A kind of expression of ECG knowledge based on " body " and the structure of knowledge base - Google Patents
A kind of expression of ECG knowledge based on " body " and the structure of knowledge base Download PDFInfo
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- CN101859348B CN101859348B CN201010194557.5A CN201010194557A CN101859348B CN 101859348 B CN101859348 B CN 101859348B CN 201010194557 A CN201010194557 A CN 201010194557A CN 101859348 B CN101859348 B CN 101859348B
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Abstract
The present invention relates to a kind of expression of ECG knowledge based on " body " and the structure of knowledge base, concrete steps are: one, carry out abstract definition according to each attribute of ECG, build " body " framework of standard; Two, the expression utilizing Prot é g é Ontology Editing Tool and " body " framework of having built ECG data to be converted to a kind of knowledge namely completes the interpolation of " body " example, and " body " example built is stored as OWL document; Three, the api interface utilizing Jean2 to provide is resolved " body " example built up, and then utilizes JDBC to complete the connection with MySQL database, and the expression like this based on the ECG semanteme of " body " stores in a database with the form of knowledge.Advantage of the present invention: both assist physicians can carry out diagnosing and also can improve vigilant to angiocardiopathy of domestic consumer.
Description
[technical field]
The present invention relates to ontology technical field, specifically, is a kind of expression of ECG knowledge based on " body " and the structure of knowledge base.
[background technology]
ECG (cardiogram) is the diagnosis of electronical record for angiocardiopathy of cardiomotility, current most of ECG devices do not process the ECG waveform collected, by experienced doctor the measurement of parameter and analysis carried out to cardiogram and diagnose, this ECG waveform analysis directly collected is got up very inconvenient, bothers especially dealing with the doctor that some are lacked experience.Some cardiogram chance simply carries out extraction and the analysis of some data, but be all that the standard that cardiogram (ECG) machine of some simple waveform parameters and different vendor is taked is all different, the ECG data collected can not be transmitted again in the ECG diagnostic device coming from different owner, namely can not with a kind of ubiquitous mode appear at owner's software is not installed computer platform on.Bring very large obstacle so just to the shared of ECG data.
HL7 (HealthLevelSeven) standard is the medical information exchange agreement of the network opening System Interconnect model (OpenSystemInterconnectionOSI) the 7th layer announced based on ISO (International Standards Organization) (ISO); Medical and health organization and medical apparatus, the device data information transmission criteria of being ratified issuing and implementation by NBS (ANSI); It is applicable to the exchange of medical history information, clinical test results, financial information etc. between hospital internal different medical infosystem, simultaneously also for message exchange demands a large amount of between hospital, between hospital and associated mechanisms.Increasingly extensive along with HL7 application, adopts HL7 can accomplish the accessible exchange of accessible interconnection and medical data information completely as the hospital information system (HIS) of standard and medical apparatus, equipment.The HL7 standard of part that the present invention mainly adopts (ECG), these standards comprise the data dictionary that ECG measures and the ECG diagnosis enumerated, and the diagnosis of these data dictionaries is all that the electrocardiogram (ECG) data collected from existing ECG device obtains.
" body ", at message area, one " body " is exactly the file that the detailed description of a concept or define relation between term in form.One " body " can provide one can share, have structure, can by some fields of generally understanding and task, these tasks or field can be linked together by computer or user.The research of message area to " body " become all the fashion, some reasons of development one " body " are that the concept of structure in order to share an information between user or ageng also can to the recycling of some domain knowledge.In infosystem various computer program application " body " to be especially applied in information index and in reclaiming.
[summary of the invention]
The object of the invention is to overcome the deficiencies in the prior art, a kind of expression of ECG knowledge based on " body " and the structure of knowledge base are provided.
The object of the invention is to be achieved through the following technical solutions:
A kind of expression based on the ECG knowledge of " body ", it is characterized in that, concrete steps are:
One, carry out abstract definition according to each attribute of ECG, build " body " framework of standard;
Two, the expression utilizing Prot é g é Ontology Editing Tool and " body " framework of having built ECG data to be converted to a kind of knowledge namely completes the interpolation of " body " example, and " body " example built is stored as OWL document;
The ECG data of described " body " example has two ECG data of originating as the existing archives in hospital journals and slave computer collect;
Three, the api interface utilizing Jean2 to provide is resolved " body " example built up, and then utilizes JDBC to complete the connection with MySQL database, and the expression like this based on the ECG semanteme of " body " stores in a database with the form of knowledge.
In addition, the api interface utilizing Jena2 to provide completes the connection of the system subroutine (Internet browser interface subroutine) that " body " example and JavaScript write, and so just can complete the visual of ontology knowledge.
A kind of structure based on the ECG knowledge base of " body ": " body " that build standard adopts international HL7 standard, and " body " of standard combines the expression of ECG waveform, based on the parameter measurement of HL7 standard and the description of abnormal condition; ECG data after standard " body " standardization also just converts a kind of expression of knowledge to, and standard " body " adopts Prot é g é to edit; In order to complete the connection of the system application subprogram that the ECG data after standardization i.e. instances of ontology and database and Java are write; The various api interfaces adopting Jean2 to provide have come.
Compared with prior art, good effect of the present invention is:
" body " knowledge base built both as the knowledge base of expert system, also can be shared in different fields as a kind of knowledge by the present invention; And ECG data after " body " standardization is expressed with a kind of form of knowledge and so both assist physicians can be carried out diagnosing and also can improve vigilant to angiocardiopathy of domestic consumer.
[accompanying drawing explanation]
Fig. 1 hardware structure diagram of the present invention;
Fig. 2 " body " of the present invention frame diagram;
Fig. 3 structure instance graph of the present invention;
The realization figure of the ontology knowledge database that Fig. 4 is of the present invention;
The analysis diagram of Fig. 5 ontology knowledge base of the present invention;
The construction framework figure of Fig. 6 whole " body " of the present invention knowledge base.
[embodiment]
Below provide the present invention a kind of based on the expression of the cardiogram knowledge of " body " and the structure embodiment of knowledge base.
Embodiment 1
The present invention is made up of host computer and slave computer two parts, slave computer completes the collection of electrocardiogram (ECG) data and the extraction of attribute, simulating signal is given ADuC7024 through conducting wire and signal processing circuit (protection circuit, drive amplification, signal cushion) by the analog electrocardiogram signal collected by ECG electrode, complete simulating signal to the conversion of digital signal by ADuC7024 and complete the extraction of ECG attribute, then send digital signal to host computer through serial port level chance-over circuit and RS232 Serial Port Line; Host computer is primarily of a few part composition such as system host, LCD display, keyboard, mouse, the system host that standard " body " is wherein housed mainly completes the function such as storage, Internet Transmission of the standardization of ECG data, data, and the ECG after standardization shows on LCD with a kind of form of knowledge.
The collection of electrocardiogram (ECG) data: the collection structure of electrocardiogram (ECG) data as shown in Figure 1, forms primarily of electrocardioelectrode, protection circuit, impact damper, drive amplification circuit, microprocessor and serial port level chance-over circuit.
The activity of heart is mainly converted to the simulating signal that can detect by electrocardioelectrode; protection circuit mainly protects patient from the harm of various electrical equipment; impact damper is mainly used in reducing the large impedance of sensor thus reduces noise signal, drive amplification main circuit to adopt AD620 to the voltage signal collected amplify then utilize the AD of inner 12 of ADuC7024 to be converted to by the voltage signal collected correlation parameter that then digital signal extract in ECG data sends digital signal and correlation parameter to host computer finally by serial converter MAX232.
Below in host computer (PC), how to complete the expression of ECG knowledge and the structure of " body " knowledge base.
First, we will set up a standard " body ", here first we carry out abstract definition to each element in ECG data and obtain class in ECG " body " and attribute then we utilize Prot é g é to build standard " body " according to the class defined and attribute, the waveform that " body " of standard has merged " ECG " data is expressed and based on the ECG parameter measurement of HL7 standard and the description of cardiovascular abnormal condition, " body " framework of the standard built as shown in Figure 2.
Then, a large amount of electronic medical records raw data is collected from existing case history archive, because these cases are disorderly and unsystematic on form, then our property value extracted wherein utilizes standard " body " and the employing of Prot é g é instrument to become a kind of expression based on the knowledge of " body " to build ECG instances of ontology according to the method migration of semantic tagger, material is thus formed " electronic medical records " instances of ontology storehouse after extraction.And the property parameters that we extract according to slave computer for the electrocardiogram (ECG) data utilizing slave computer to collect is converted to a kind of expression based on the knowledge of " body " according to the standard built " body ", then we utilize certain algorithm (adopting ANN or case-base reasoning also can utilize expert here) to carry out classification assessment to new " body ", to determine whether upgrade instances of ontology storehouse, whole process as shown in Figure 3.
For " body " case library built, adopt OWL language to be described, be stored as OWL document.Then the OnotologyAPI adopting Jena2 to provide resolves in the database model being stored to and utilizing Jena2/RDFAPI to set up to instances of ontology, then JDBC is utilized to complete the connection with MySQL database, " body " example built just can store in a database with the form of knowledge by we like this, and whole process as shown in Figure 4.
Simultaneously in order to complete the visual various api interface that we utilize Jena2 to provide equally of " body " knowledge and JDBC to the connection of the system application subprogram completing knowledge data base and JavaScript and write, so just can check expression based on the ECG semanteme of " body " with the form browsing webpage on internet and not needing to install on PC software implementing course that owner provides as shown in Figure 5.The implementation procedure of the whole ECG semantic meaning representation based on body as shown in Figure 6.
The above is only the preferred embodiment of the present invention; it should be pointed out that for those skilled in the art, without departing from the inventive concept of the premise; can also make some improvements and modifications, these improvements and modifications also should be considered within the scope of protection of the present invention.
Claims (1)
1. the structure based on the ECG knowledge base of " body ", it is characterized in that, the structure of the described ECG knowledge base based on " body " first gathers electrocardiogram (ECG) data by slave computer, and extract cardiogram attribute, analog electrocardiogram signal is gathered by ECG electrode, and by described analog electrocardiogram signal after signal transacting, be converted to digital signal, then the correlation parameter in ECG data is extracted, finally send the correlation parameter of digital signal and extraction to host computer, and complete the structure of ECG knowledge base at host computer;
The concrete steps completing the structure of ECG knowledge base at host computer are as follows:
(1), according to each attribute of ECG carry out abstract definition, build " body " framework of standard, the waveform that " body " of described standard has merged ECG data is expressed and based on the ECG parameter measurement of HL7 standard and the description of cardiovascular abnormal condition;
(2), from existing case archives, electronic medical records raw data is collected, extract property value wherein, and utilize Prot é g é Ontology Editing Tool and standard " body " framework that built described property value to be converted to a kind of expression of knowledge, namely complete the interpolation of " body " example, build ECG " body " example, form " electronic health record " instances of ontology storehouse after extracting;
(3), when slave computer collects new ECG data, according to the ECG property parameters that slave computer extracts, according to the standard built " body " framework, described ECG property parameters is converted to a kind of expression based on the knowledge of " body ", and classification assessment is carried out, to determine whether upgrade " body " case library to new " body ";
(4), " body " case library described in building is stored as OWL document, then the api interface utilizing Jean2 to provide is resolved " body " example built up, then JDBC is utilized to complete the connection with MySQL database, expression like this based on the ECG semanteme of " body " stores in a database with the form of knowledge, and described ECG is Electrocardiographic writing a Chinese character in simplified form;
(5) the various api interfaces, adopting Jean2 to provide are by the ECG data after standardization, the system application subprogram that namely instances of ontology and database and Java write is connected, realize the visual of " body " ECG knowledge, checked the expression of the ECG semanteme based on " body " by the form browsing webpage.
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| CN105205190A (en) * | 2014-06-10 | 2015-12-30 | 南京理工大学 | Ontology construction methodology for complex product design |
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| CN1952882A (en) * | 2006-11-16 | 2007-04-25 | 武汉大学 | A realm model building method based on ontology & meta-modeling |
| CN101013363A (en) * | 2006-11-16 | 2007-08-08 | 武汉大学 | Software component classification registration method based on domain body |
| CN101266660A (en) * | 2008-04-18 | 2008-09-17 | 清华大学 | Reality inconsistency analysis method based on descriptive logic |
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| US20030226109A1 (en) * | 2002-03-04 | 2003-12-04 | Dan Adamson | Method, apparatus, and system for data modeling and processing |
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| CN1952882A (en) * | 2006-11-16 | 2007-04-25 | 武汉大学 | A realm model building method based on ontology & meta-modeling |
| CN101013363A (en) * | 2006-11-16 | 2007-08-08 | 武汉大学 | Software component classification registration method based on domain body |
| CN101266660A (en) * | 2008-04-18 | 2008-09-17 | 清华大学 | Reality inconsistency analysis method based on descriptive logic |
Non-Patent Citations (2)
| Title |
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| An Ontological Analysis of the Electrocardiogram;Bernardo Goncalves et al.;《Electronic Journal of Communication ,information & Innovation in health》;20090331;第3卷(第1期);图6和图9 * |
| 应用本体构造发动机故障诊断专家系统;杜磊等;《计算机应用》;20061230;第26卷(第S2期);论文第2页第2.2节第2、3段，第3页第2.3和第3部分 * |
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