CN109805921B - Electrocardio data cross-platform sampling method and electrocardio monitoring system - Google Patents
Electrocardio data cross-platform sampling method and electrocardio monitoring system Download PDFInfo
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Abstract
The application provides a cross-platform electrocardio data sampling method, which relates to an electrocardiogram display technology and comprises the following steps: acquiring an electrocardiogram source code file by using electrocardiogram monitoring equipment; reading an electrocardiogram source code file, and extracting a heart power source data analysis rule; denoising the electrocardiogram source code file; converting the electrocardiogram source code file into a hypertext markup language file according to the analysis rule of the cardiac power supply data; the hypertext markup language file is used for being read in a network. The method provided by the embodiment of the application can convert the electrocardio data acquired by various electrocardio devices into the universal hypertext markup language, and can effectively transmit, read and present according to the Internet protocol. Because various intelligent devices such as smart phones, tablet computers, computers and other devices or more extensive professional devices can effectively read the electrocardiogram files based on the hypertext markup language, the electrocardiogram data can be effectively utilized more conveniently.
Description
Technical Field
The application relates to an electrocardiogram display technology, in particular to an electrocardiogram data cross-platform sampling method and an electrocardiogram monitoring system.
Background
In the prior art, a patient can use a personal electrocardiograph device for electrocardiographic detection, and in the prior art, several electrocardiograph devices can be used for obtaining a standard electrocardiogram, such as a clinical electrocardiograph and a personal electrocardiograph. Although these devices can collect and transmit electrocardiographic data to a remote medical data center, the electrocardiographic data is generally stored in a dedicated data format and is generally read and presented by using dedicated hardware or software, so that the electrocardiographic data cannot be effectively read and displayed by a personal electronic device or other networked devices.
In view of the above problems, dedicated data of the personal electrocardiograph cannot be shared with other platforms, and under the current technical conditions, the electrocardiograph data acquired by the personal electrocardiograph cannot be conveniently used to realize telemedicine.
Disclosure of Invention
In order to solve the technical problem or at least partially solve the technical problem, the application provides a cross-platform sampling method for electrocardiograph data and an electrocardiograph monitoring system.
In a first aspect, the present application provides a method for cross-platform sampling of electrocardiographic data, comprising:
acquiring an electrocardiogram source code file by using electrocardiogram monitoring equipment;
reading an electrocardiogram source code file, and extracting a heart power source data analysis rule;
denoising the electrocardiogram source code file;
converting the electrocardiogram source code file into a hypertext markup language file according to the analysis rule of the cardiac power supply data;
the hypertext markup language file is used for being read in a network.
According to the embodiment of the application, the method further comprises the following steps:
analyzing the cardiac power supply data to obtain the information of a measurer;
analyzing the cardioelectric source data to obtain the cardioelectric and pulse data of the measurer;
extracting electrocardio data and carrying out unit conversion;
carrying out down-sampling conversion on the electrocardio data;
filtering the electrocardio data;
and performing electrocardiogram two-dimensional drawing on the result data by using a hypertext markup language.
According to an embodiment of the present application, further comprising: by reading the hypertext markup language file containing the electrocardiogram source code file on the mobile communication device to display the electrical activity information of the heart, the electrocardiogram data can be viewed on the mobile communication device.
According to the embodiment of the application, the method further comprises the step of transmitting the electrocardio data to a remote terminal unit through one or more communication protocols, so that the electrocardio data can be browsed at a remote terminal.
According to the embodiment of the application, the mobile communication equipment transmits the electrocardiogram data in real time.
According to an embodiment of the application, the interpreting the electrocardiogram source code file and extracting the analysis rule of the cardiac power supply data comprises the following steps:
traversing the electrocardiogram source code file to obtain data marks corresponding to each type of data;
recording each data mark, a corresponding data type and a corresponding data format;
and generating a heart power supply data analysis rule according to the data mark corresponding relation.
According to the embodiment of the application, after the analysis of the cardioelectric source data and the acquisition of the electrocardio and pulse data of the measurer, the method further comprises the following steps:
extracting pulse data and carrying out unit conversion;
down-sampling conversion is carried out on the pulse data;
performing filtering operation on the pulse data;
performing scaling and/or commutation processing on the pulse data;
and drawing a pulse waveform two-dimensional graph of the pulse data by using a hypertext markup language.
According to an embodiment of the application, the hypertext markup language is hypertext 5.0.
According to the embodiment of the application, the electrocardiogram in the hypertext markup language generates the display graphics through a Flash or silverlight tool.
In a second aspect, the present application provides an electrocardiographic monitoring system, comprising:
a personal electrocardiograph device for providing a 12-lead electrocardiogram representing electrical activity of a user's heart, wherein the 12-lead electrocardiogram is obtained from a set of at least two or more skin electrodes, each skin electrode being electrically connected to the personal electrocardiograph device either directly or via a chest electrode;
the wireless communication module is embedded in the personal electrocardio device and is used for carrying out data communication with a mobile communication device; and
a mobile communication device for obtaining electrocardiographic data of the personal electrocardiograph device in the cross-platform electrocardiographic data sampling method as described above, the mobile communication device for visually displaying information related to the provided 12-lead electrocardiogram and for data communication with a remote data center.
Compared with the prior art, the technical scheme provided by the embodiment of the application has the following advantages:
according to the method provided by the embodiment of the application, the electrocardiogram data acquired by various electrocardiogram equipment can be converted into the universal hypertext markup language, and can be effectively transmitted, read and presented according to the Internet protocol.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive exercise.
Fig. 1 is a schematic flow chart of a cross-platform sampling method for electrocardiographic data according to an embodiment of the present application.
Fig. 2 is a schematic diagram of a flow of generating analysis rules of a cross-platform sampling method for electrocardiographic data according to an embodiment of the present application.
Fig. 3 is a schematic diagram of an analysis rule of electrocardiographic data.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Fig. 1 is a schematic flow chart of a cross-platform sampling method for electrocardiographic data according to an embodiment of the present application.
The embodiment of the application provides a cross-platform sampling method for electrocardiogram data, which comprises the following steps: the method comprises the following main steps:
s001, acquiring an electrocardiogram source code file by using electrocardiogram monitoring equipment; the electrocardiogram monitoring equipment can be a digital electrocardiograph special for hospitals or personal portable electrocardiogram monitoring equipment, the equipment is provided with a collecting electrode and an electric signal receiving and processing assembly, electrocardiogram monitoring data can be converted into digital signals, an electrocardiogram source code file is formed according to own data rules, the electrocardiogram source code file can be displayed on display equipment corresponding to the electrocardiogram monitoring equipment, and meanwhile, the electrocardiogram source code file can be shared or transmitted. According to the embodiment of the application, the electrocardio source code files of various electrocardio monitoring devices can be collected and utilized.
S002, reading the electrocardiogram source code file, and extracting the analysis rule of the heart power supply data; for example, the electrocardiographic power data is generally stored in a TXT file form, electrocardiographic power code files of various electrocardiographic monitoring devices have respective data rules, and for this reason, corresponding analysis rules can be formed for different electrocardiographic monitoring devices and stored, and certainly, the analysis rules can be continuously evolved and improved according to the use conditions. For the data analysis rules of different types of electrocardio equipment, a server can be selected to be used for carrying out centralized storage, and a remote analysis rule database is formed. And the analysis rules can be continuously updated and maintained in the database. Each user terminal can call or download the analysis rule corresponding to the access electrocardio equipment through the network. And the user terminal can also modify or self-define the analysis rule in use and can select to upload the modified or self-defined analysis rule to the database.
S003, denoising the electrocardiogram source code file; in order to eliminate the device stationary noise in the electrocardiogram source code file. The noise reduction processing can adopt various methods in the prior art, and can eliminate noise caused by equipment or environment presenting a certain period or other rules.
S004, converting the electrocardiogram source code file into a hypertext markup language file according to the analysis rule of the cardiac power supply data; the parsing rule can be regarded as a data guide table, so that data of the designated mark position can be quickly and accurately imported into the prefabricated template, and the file format conversion can be completed. The configuration of the prefabricated template can also refer to the above method about the analysis rule to manage the database.
And S005, the hypertext markup language file is read in a networking way. The file can be read by the equipment through networking, and can be read and presented by using a general browser without installing an application program.
According to the method provided by the embodiment of the application, the electrocardiogram data acquired by various electrocardiogram equipment can be converted into the universal hypertext markup language, and can be effectively transmitted, read and presented according to the Internet protocol.
Since the electrocardiographic data may also include measurer information and pulse data, the specific conversion method according to the embodiment of the present application further includes the following steps:
analyzing the cardiac power supply data to obtain the information of a measurer;
analyzing the cardioelectric source data to obtain the cardioelectric and pulse data of the measurer;
extracting electrocardio data and carrying out unit conversion;
carrying out down-sampling conversion on the electrocardio data;
filtering the electrocardio data;
and performing electrocardiogram two-dimensional drawing on the result data by using a hypertext markup language.
According to an embodiment of the present application, further comprising: by reading the hypertext markup language file containing the electrocardiogram source code file on the mobile communication device to display the electrical activity information of the heart, the electrocardiogram data can be viewed on the mobile communication device.
According to the embodiment of the application, the method further comprises the step of transmitting the electrocardio data to a remote terminal unit through one or more communication protocols, so that the electrocardio data can be browsed at a remote terminal.
According to the embodiment of the application, the mobile communication equipment transmits the electrocardiogram data in real time.
According to an embodiment of the application, the interpreting the electrocardiogram source code file and extracting the analysis rule of the cardiac power supply data comprises the following steps:
s101, analyzing and analyzing for different electrocardio devices for multiple times, respectively traversing an electrocardiogram source code file, and acquiring data marks corresponding to various types of data; one example operation is that, for a plurality of electrocardiographic code data of the same electrocardiographic device, electrocardiographic code files analyzed for a plurality of times are quickly compared, a plurality of fixed and unchangeable data headers are extracted, the step can be automatically executed comparison and marking, the extracted data headers and corresponding data at the rear parts of the data headers are tabulated, a plurality of prefabricated data type options are respectively given, and the data types corresponding to the data headers can be matched according to information such as the number of bits and the total length of the rear data. Or, data trial reading can be performed on the rear groups of data selectively, traversal trial reading can be performed by using different types of data reading rules, and the data type and the data format with the highest reading accuracy are used as matching results. Therefore, corresponding analysis rules can be obtained for different devices.
S102, recording each data mark, a corresponding data type and a corresponding data format; the parsing rules may be stored in the form of a data index table, distinguished by file name. Even the data parsing method program code or also stored in the file.
And S103, generating a cardiac power supply data analysis rule according to the data mark corresponding relation.
According to the embodiment of the application, after the analysis of the cardioelectric source data and the acquisition of the electrocardio and pulse data of the measurer, the method further comprises the following steps:
extracting pulse data and carrying out unit conversion;
down-sampling conversion is carried out on the pulse data;
performing filtering operation on the pulse data;
performing scaling and/or commutation processing on the pulse data;
and drawing a pulse waveform two-dimensional graph of the pulse data by using a hypertext markup language.
According to an embodiment of the application, the hypertext markup language is hypertext 5.0.
According to the embodiment of the application, the electrocardiogram in the hypertext markup language generates the display graphics through a Flash or silverlight tool. Microsoft Silverlight is a new Web rendering technology that can run on a variety of platforms. By means of the technology, the vector animation with rich content and gorgeous visual effect can be displayed, and the consistent experience can be obtained in a browser or a desktop operating system (such as Windows and Apple Macintosh). The rendering technique XAML (extensible application markup language) in microsoft.net framework3.0(Windows programming infrastructure) follows wpf (Windows Presentation foundation), which is the basis for Silverlight rendering functionality. Flash is a very excellent vector animation production software, which takes a streaming control technology and a vector technology as a core, and the produced animation has the characteristics of short and bold property, so that the Flash can be applied to the design of webpage animation.
An embodiment according to the present application provides an electrocardiographic monitoring system, which includes:
a personal electrocardiograph device for providing a 12-lead electrocardiogram representing electrical activity of a user's heart, wherein the 12-lead electrocardiogram is obtained from a set of at least two or more skin electrodes, each skin electrode being electrically connected to the personal electrocardiograph device either directly or via a chest electrode;
the wireless communication module is embedded in the personal electrocardio device and is used for carrying out data communication with a mobile communication device; and
a mobile communication device for obtaining electrocardiographic data of the personal electrocardiograph device according to the above-mentioned cross-platform electrocardiographic data sampling method, the mobile communication device being configured to visually display information related to the provided 12-lead electrocardiogram and to perform data communication with a remote data center.
The following is an exemplary description of one embodiment:
1. information about collector
As outlined in line 2 of fig. 3 is the acquirer information, respectively: name, sex, age, height, weight. The blue box is a time stamp, i.e., the time of day when the acquisition was started.
Reading: and finding a line marked as '1000', reading the 3 rd to 7 th characters of the line as name, sex, age, height and weight according to the data mark of the information of the collector, and converting the last character of the line into the collection date and time.
2. Electrocardiographic data
As shown in fig. 3, lines 1, 13, 24 and 31 are the electrocardiographic data, the first digit "5" is regarded as the data mark of the electrocardiographic data, and the first 12 digits of the third digit of each line are the electrocardiographic amplitude data (the ordinate of the electrocardiographic graph is the amplitude, and the abscissa is the sampling point, i.e., 1,2,3,4 …).
Reading: and (3) finding a row marked as '5', taking 3-14 th characters from each row, and sequentially recording the characters into the electrocardiogram data ecg _ data [ ], wherein the total length of the data is 12 x rows.
3. Pulse data
The pulse data is shown in green frame, the first bit '9' is the pulse data mark, and the first 12 numbers of the third bit of each line are the pulse amplitude data (the electrocardiogram is drawn in the same way, and the abscissa of the two is synchronous).
Reading: and (3) finding a row marked as '9', taking 3-14 th characters from each row, and sequentially recording the characters into the electrocardiogram data set ppg _ data [ ], wherein the total length of the data is 12 rows and is as long as the electrocardiogram.
Electrocardiographic data processing and drawing
The treatment process comprises the following steps: raw data → unit conversion to mv (ecgcovertomv) → downsampling → filtering (ecgfiltterservice filter) → picture waveform.
1. Conversion of amplitude units to mv (ecgConvertToMv)
The method is as shown in the figure, and the input data _ ecg is each electrocardiogram value analyzed from the original file.
2. Down sampling
Averaging to 1 data every 4 data. (the downsampled data length becomes 1/4, sample rate 128).
3. Filtering (ecg Filter service. filter)
The input is each downsampled data. Specific code examples are as follows:
an electrocardio filtering algorithm:
pulse filtering algorithm
4. Electric wave form for painting heart
The electrocardiographic waveforms are plotted with sample point numbers, i.e., 1,2,3,4 …, on the abscissa and the filtered output data on the ordinate. Wherein the abscissa unit can be converted into seconds, and the 128 sampling points are 1 second; the unit mv of ordinate does not need to be converted.
5. Drawing pulse waveform
The pulse waveform is plotted, the horizontal axis is the number of the sampling point, i.e. 1,2,3,4 …, and the vertical axis is the data processed in the previous step. Wherein the abscissa unit can be converted into seconds, and the 128 sampling points are 1 second; the unit mv of ordinate does not need to be converted.
The electrocardiographic and pulse waveforms are synchronized in time because of the simultaneous acquisition.
It is noted that, in this document, relational terms such as "first" and "second," and the like, may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The foregoing are merely exemplary embodiments of the present invention, which enable those skilled in the art to understand or practice the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (9)
1. A cross-platform sampling method for electrocardiogram data is characterized by comprising the following steps:
acquiring an electrocardiogram source code file by using electrocardiogram monitoring equipment;
reading the electrocardiogram source code file, and extracting the analysis rule of the heart power supply data, wherein the analysis rule comprises the following steps: the method comprises the following steps of traversing an electrocardiogram source code file, and acquiring data marks corresponding to various types of data respectively, wherein the method comprises the following steps: for a plurality of electrocardiograph code data of the same electrocardiograph equipment, rapidly comparing a plurality of electrocardiograph code files which are analyzed for a plurality of times, extracting a plurality of fixed and unchangeable data heads, then matching the data types corresponding to the data heads according to the digit and total length information of the rear data, or performing data trial reading on a plurality of groups of rear data, performing traversal trial reading by using different types of data reading rules, and taking the data type and the data format with the highest reading accuracy as matching results, thus obtaining corresponding analysis rules for different equipment; recording each data mark, a corresponding data type and a corresponding data format; generating a heart power supply data analysis rule according to the data mark corresponding relation; storing data analysis rules of different types of electrocardio equipment in a server to form a remote analysis rule database;
denoising the electrocardiogram source code file;
converting the electrocardiogram source code file subjected to noise reduction into a hypertext markup language file according to the analysis rule of the heart power data;
the hypertext markup language file is used for being read in a network.
2. The cross-platform sampling method for electrocardiographic data according to claim 1, characterized in that: further comprising:
analyzing the cardiac power supply data to obtain the information of a measurer;
analyzing the cardioelectric source data to obtain the cardioelectric and pulse data of the measurer;
extracting electrocardio data and carrying out unit conversion;
carrying out down-sampling conversion on the electrocardio data;
filtering the electrocardio data;
and performing electrocardiogram two-dimensional drawing on the result data by using a hypertext markup language.
3. The cross-platform sampling method for electrocardiographic data according to claim 1, further comprising: by reading the hypertext markup language file containing the electrocardiogram source code file on the mobile communication device to display the electrical activity information of the heart, the electrocardiogram data can be viewed on the mobile communication device.
4. The method for cross-platform sampling of electrocardiographic data according to claim 3 further comprising communicating the electrocardiographic data to a remote terminal unit via one or more communication protocols, thereby enabling the electrocardiographic data to be viewed at a remote terminal.
5. The cross-platform sampling method for electrocardiographic data according to claim 3, wherein the mobile communication device transmits the electrocardiographic data in real time.
6. The cross-platform sampling method of electrocardiographic data according to claim 2,
after the analysis of the cardioelectric source data and the acquisition of the electrocardio and pulse data of the measurer, the method also comprises the following steps:
extracting pulse data and carrying out unit conversion;
down-sampling conversion is carried out on the pulse data;
performing filtering operation on the pulse data;
performing scaling and/or commutation processing on the pulse data;
and drawing a pulse waveform two-dimensional graph of the pulse data by using a hypertext markup language.
7. The cross-platform sampling method for electrocardiographic data according to claim 1, wherein the hypertext markup language is hypertext 5.0.
8. The method for cross-platform sampling of electrocardiographic data according to claim 2 wherein the electrocardiogram in hypertext markup language is generated with Flash or silverlight tools to display graphics.
9. An electrocardiographic monitoring system, comprising:
a personal electrocardiograph device for providing a 12-lead electrocardiogram representing electrical activity of a user's heart, wherein the 12-lead electrocardiogram is obtained from a set of skin electrodes, each skin electrode being electrically connected to the personal electrocardiograph device either directly or via a chest electrode;
the wireless communication module is embedded in the personal electrocardio device and is used for carrying out data communication with a mobile communication device; and
a mobile communication device for acquiring electrocardiographic data of the personal electrocardiograph device in the electrocardiographic data cross-platform sampling method according to any one of claims 1 to 8, for visually displaying information related to the provided 12-lead electrocardiogram, and for data communication with a remote data center.
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| TWI474275B (en) * | 2009-06-23 | 2015-02-21 | Univ Yuan Ze | 12-lead ecg measurement and report editing system |
| CN102188239A (en) * | 2010-03-02 | 2011-09-21 | 上海岱嘉医学信息系统有限公司 | Collecting and processing method applicable to different electrocardio collecting boxes |
| CN102008300A (en) * | 2010-12-10 | 2011-04-13 | 吉林大学 | Wearable multiple physiological parameter recording device |
| WO2012160550A1 (en) * | 2011-05-23 | 2012-11-29 | Shl Telemedicine International Ltd. | An electrocardiographic monitoring system and method |
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| CN104706349B (en) * | 2015-04-13 | 2017-03-22 | 大连理工大学 | Electrocardiosignal construction method based on pulse wave signals |
| CN106859632A (en) * | 2015-12-11 | 2017-06-20 | 包骏 | A kind of contactless electrocardiogram equipment of wearable real time multi-channel and its cardioelectric monitor method |
| CN106777930A (en) * | 2016-11-30 | 2017-05-31 | 南京大学 | Central network platform based on electrocardiogram unified standardization |
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