CN105726016B - Electrocardio output method and device - Google Patents
Electrocardio output method and device Download PDFInfo
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- CN105726016B CN105726016B CN201610074687.2A CN201610074687A CN105726016B CN 105726016 B CN105726016 B CN 105726016B CN 201610074687 A CN201610074687 A CN 201610074687A CN 105726016 B CN105726016 B CN 105726016B
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/316—Modalities, i.e. specific diagnostic methods
- A61B5/318—Heart-related electrical modalities, e.g. electrocardiography [ECG]
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
- A61B5/0004—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by the type of physiological signal transmitted
- A61B5/0006—ECG or EEG signals
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/316—Modalities, i.e. specific diagnostic methods
- A61B5/318—Heart-related electrical modalities, e.g. electrocardiography [ECG]
- A61B5/346—Analysis of electrocardiograms
- A61B5/349—Detecting specific parameters of the electrocardiograph cycle
- A61B5/35—Detecting specific parameters of the electrocardiograph cycle by template matching
Abstract
The invention discloses an electrocardio output method and a device, wherein the method comprises the steps of carrying out information marking on collected electrocardio data; analyzing and comparing the electrocardio data marked by the information, and if the electrocardio data exceeds a preset range, marking the electrocardio data to be out of standard correspondingly and outputting the electrocardio data; the dynamic electrocardiogram monitoring can record electrocardiogram data and provide abnormal electrocardiogram data output for a subject, so that the practicability of the dynamic electrocardiogram monitoring is improved; the device adopting the electrocardio output method has the same advantages.
Description
Technical Field
The invention relates to the field of embedded medical electronic equipment, in particular to an electrocardio output method and a device using the method.
Background
In the medical field of electrocardiographic examination, an electrocardiograph is generally used as an auxiliary medical device for diagnosis of electrocardiographic examination to monitor two types of electrocardiographic data: static electrocardiogram and dynamic electrocardiogram. The static electrocardio is used for collecting electrocardio data of a subject in 10-180s when the subject is static, the collected data is analyzed and processed by an automatic electrocardio measuring and diagnosing algorithm after the collection is finished, and the automatic analyzing and diagnosing result is displayed for diagnosis and confirmation of a doctor; the dynamic electrocardiogram is used for recording electrocardiogram data of a testee for more than 24 hours, including electrocardiogram data of the testee in a static state and an active state, and after the recording time is cut off, the data is imported into analysis software at a computer end to analyze and diagnose the electrocardiogram data of the testee.
The static electrocardiographic examination can only examine the heart state of a testee when the testee is still, but many diseases can only occur in the state that the testee is moving clinically, and the static electrocardiographic examination can not examine the part of diseases; the dynamic electrocardiogram monitoring can well record all electrocardiogram data of the testee within the monitoring time. However, in the conventional device, only after the data recording is completed, the dynamic electrocardiographic data is imported into the analysis software of the computer end in a mode of a U disk or an SD card and the like, and the analysis result of the electrocardiographic examination for a long time (24 h or more) can be obtained through automatic analysis, and the heart condition of the subject in the whole recording time can be evaluated. When the electrocardio data of the testee is abnormal during acquisition, the existing dynamic electrocardio data processing method and device remind and output the testee according to the lack of the electrocardio data processing method and device.
Disclosure of Invention
In order to solve the technical problems in the prior art, the invention aims to provide an electrocardiogram output method and device which can monitor dynamic electrocardiogram data, can perform real-time analysis and can output corresponding data.
In order to solve the technical problems, the technical scheme adopted by the invention is as follows: an electrocardio output method comprises the following steps:
s1. collecting ECG data;
s2, analyzing and comparing the electrocardiogram data, and if the electrocardiogram data exceeds a preset range, marking the electrocardiogram data correspondingly to exceed the standard and outputting the electrocardiogram data;
s3. extracting the ECG data marked as out of standard and sending the ECG data to a hospital information system.
Further, the step s1 and the step s2 are respectively executed in different devices.
Further, the step s3 includes extracting the motion state information of the same time period as the standard-exceeding marked electrocardiographic data, and sending the motion state information to a hospital information system.
Further, step s2 specifically includes the following sequential steps:
s25, judging whether each parameter of the electrocardiogram waveform in the electrocardiogram data exceeds a corresponding preset threshold value, and if so, marking the electrocardiogram data to be out of standard; if not, executing step s25 on the next frame of electrocardiogram data;
and S26, calculating to obtain abnormal proportions according to the proportion of the superscalar values of all parameters of the electrocardiogram waveform to the respective parameter range values.
Further, step s2 further includes the following steps:
s27, analyzing the motion state information and the abnormal proportion of the marked electrocardio data at the same time point, and grading the signals according to the analysis result;
and s28, the analysis equipment outputs according to different signal levels.
As a refinement, step s3 specifically includes the following sequential steps:
and S31, reading the signal grade of the monitored object according to the time point of the electrocardio data marked as exceeding standard to determine uploading duration.
And S32, extracting the electrocardio data with the uploading duration marked by exceeding the standard and the motion state information in the same time period, and sending the electrocardio data and the motion state information to the hospital information system.
Still further, when the step s1 is executed, the following steps are also executed: s4. collecting movement data;
when the step s2 is executed, the following steps are also executed: s5. calculate a real-time velocity from the motion data.
Furthermore, step s27 comprises the following sequential steps in sequence:
s272, comparing and judging the real-time speed and the preset speed of the overproof marked electrocardio data at the time point;
if the ratio is larger than 2, setting the motion state as a first motion state;
if the ratio is larger than 4, setting the motion state as a second motion state;
if the ratio is less than or equal to 1, setting the motion state as a third motion state;
if the ratio is zero, setting the motion state as a fourth motion state;
and s273, determining the signal level according to the motion state and the abnormal ratio of the monitored object.
In order to solve the above technical problem, an electrocardiographic output device according to the present invention includes:
an electrocardiograph and an analysis device connected to each other. The electrocardiograph recorder is provided with:
the acquisition unit is used for acquiring the electrocardio data of the human body;
the analysis apparatus is provided with:
and the data analysis unit is electrically connected with the communication unit and is used for analyzing, judging and correspondingly marking the received electrocardio data.
The output unit is electrically connected with the data analysis unit and gives output information according to the output result of the data analysis unit;
the analysis equipment is also connected with a hospital information system.
Further, the electrocardiograph recording instrument is further provided with:
and the data processing unit is electrically connected with the acquisition unit and is used for preprocessing the acquired electrocardiogram data and marking information.
And the sending unit is electrically connected with the data processing unit and sends the processed electrocardiogram data to the analysis equipment.
The analysis apparatus is provided with: and the communication unit is connected with the electrocardiogram recorder and receives the electrocardiogram data sent by the electrocardiogram recorder.
The communication unit is provided with a local area network communication module and a wide area network communication module; the communication unit is also connected with a hospital information system.
Compared with the prior art, the electrocardio output method provided by the invention realizes the function of providing information output for the testee in real time in dynamic electrocardio acquisition by analyzing and comparing the acquired electrocardio data.
The analysis equipment can also extract corresponding data segments marked by information when the subject has special conditions and the motion state information of the same time period according to the corresponding motion state information of the subject, and send the data segments and the motion state information to the hospital information system. The dynamic electrocardiogram monitoring can actively provide help for diagnosis and treatment of doctors, so that medical staff can judge the reasons of the special conditions in time by combining the relevant information of the testee, give accurate analysis and remind the testee in time.
The electrocardio output device adopting the method also has the advantages.
Drawings
FIG. 1 is a basic flow chart of a method of cardiac electrical output;
FIG. 2 is a flow chart that adds motion data acquisition processing steps to the flow chart of FIG. 1;
FIG. 3 is a detailed flow chart of a method of cardiac electrical output;
FIG. 4 is a detailed flowchart for determining an upload duration;
FIG. 5 is a schematic diagram of an apparatus architecture for implementing the cardiac electrical output method of FIG. 1;
FIG. 6 is a schematic diagram of the main architecture of the electrocardiographic output method;
fig. 7 is a detailed architecture diagram of the electrocardiograph output device.
Detailed Description
Embodiments of the present invention will be described in further detail below with reference to fig. 1 through 7.
An electrocardiographic output method, as shown in fig. 1, includes the following steps:
s1. collecting ECG data;
and S2, analyzing and comparing the electrocardio data by the analysis equipment, and if the electrocardio data exceeds the preset range, marking the corresponding standard exceeding and outputting the standard exceeding mark.
The data acquisition of the testee is completed by an electrocardiogram recorder, and the electrocardiogram recorder is an electrocardiogram acquisition recorder which can continuously (more than 24 hours) acquire electrocardiosignals of the testee in a normal living state and has certain preprocessing function, such as information marking on the acquired electrocardio data. And certain physical information of the testee, such as basic information data of the testee, activity state information of the testee and electrocardiogram data, can be stored. In order to ensure the portability of the electrocardiograph, a large-capacity data storage component is arranged in the analysis equipment.
The above-mentioned subject basic information data is manually input or input into the electrocardiograph by scanning or the like by a measurer, for example, a two-dimensional code carried by the subject is scanned to input the basic information of the subject, which is not limited herein. The basic information of the subject includes name, age, height, weight, etc.
As a preferred embodiment, the steps s1 and s2 are respectively executed in different devices. In other embodiments, step s1 and step s2 may be executed in the same device. Namely, the analysis equipment can be integrated in the electrocardiograph recorder, and can also exist independently or be established on equipment which can provide wireless connection and exchange data with the electrocardiograph recorder in a mobile phone, a tablet and the like in an application software mode, so that the production cost of the analysis equipment is reduced.
When the analysis equipment is established on intelligent platforms such as a mobile phone and a tablet computer, the two mobile equipment are convenient to carry, data can be transmitted between the electrocardiogram recorder and the analysis equipment in a wireless mode, and the wireless connection mode comprises WIFI, Bluetooth and the like. And after the connection is established, the electrocardiogram recorder sends the electrocardiosignals to the analysis equipment in real time. The analysis equipment stores and analyzes the real-time electrocardio data, and outputs corresponding information or prompt to the testee when the real-time electrocardio data exceed the corresponding preset threshold value.
Step s2 is followed by the following steps of interfacing with a hospital information system:
s3. the analysis device sends the extracted ECG data marked as out of standard to the hospital information system.
When the information is output to the testee, if the hospital information system is provided with an access interface for providing analysis equipment, the electrocardio data marked as the standard exceeding can be sent to the hospital information system, so that doctors can obtain the electrocardio data of the testee in time.
The access interface can be selected according to the distance between the analysis equipment and the hospital, and if the subject is not in the hospital, the access interface is provided by a server connected with the wide area network. The subject is just in the hospital and is connected with the access interface provided by the local area network server of the hospital. And are not limited herein.
As shown in fig. 2, as a preferred embodiment, the step s3 further includes extracting the motion state information of the same time period as the cardiac electrical data marked as exceeding the standard, and sending the motion state information to a hospital information system. The doctor can conveniently refer to the motion state of the examinee in the same time period when analyzing the uploaded electrocardio data of the examinee, so that the electrocardio data of the examinee can be more accurately analyzed and judged.
In the above preferred embodiment, in order to obtain the motion state information synchronized with the electrocardiographic data to help the doctor to make a judgment, when step s1 is executed, the following steps are further executed: s4. the electrocardiograph collects the motion data.
In performing step s2, the following steps are also performed: s5. the analyzing device calculates the real-time velocity from the motion data.
The motion data in step s4 includes: gravity change data and acceleration data or both.
One of the methods for obtaining the real-time speed of the subject in step s5 is as follows:
the data sent to the analysis equipment by the electrocardiograph comprises gravity change data, and the analysis equipment calculates the motion state of the testee by detecting the gravity change condition in the data: when the gravity sensor detects that the gravity of the subject changes, the analysis device considers that the subject moves by one step, so as to calculate the number of motion steps of the subject in the process of using the electrocardiograph.
Specifically, the analysis device counts the step number variation a of the user within the predetermined time period, and simultaneously reads the basic information data of the patient, and calculates the movement speed of the patient, wherein the step size calculation formula is as follows: height Y X coefficient X = formula of step B.
According to the personal information of the user stored in the analysis equipment, calculating a coefficient X =0.429 in a mode of height 1.75 meters and step length 0.75 meters, then according to the height Y in the stored personal information of the subject, calculating the step length B of the user according to a formula of the height Y X coefficient X = step length B, and then calculating and estimating the current movement speed V of the user according to (step number variation A X step length B)/a preset time length T.
Similarly, the method for obtaining the movement speed of the subject by the acceleration sensor can also be obtained by the following method: from the real-time acceleration force F = MA (M is the subject's weight) in the acceleration data, the acceleration a is calculated, and then V = AT, the velocity V is calculated.
The real-time speed of the subject is estimated by detecting the change or acceleration of the subject's gravity. The more accurate method for acquiring the movement speed of the subject can also be as follows: the sensor is obtained by the joint action of other sensors such as an acceleration sensor and/or an angular velocity sensor, and is not limited herein.
As shown in fig. 3, in order to ensure the accuracy of analyzing and determining the electrocardiographic data and improve the working efficiency of the analysis device, step s2 specifically includes the following steps:
s25, judging whether each parameter of the electrocardiogram waveform in the electrocardiogram data exceeds a corresponding preset threshold value, and if so, marking the electrocardiogram data to be out of standard; if not, executing step s25 on the next frame of electrocardiogram data;
in order to improve the analysis efficiency of the analysis equipment, the judgment process in the step s25 can be divided into two sections, firstly, whether the amplitude of the electrocardiogram waveform in the electrocardiogram data exceeds a preset threshold value is judged, and if the amplitude exceeds the preset threshold value, the electrocardiogram data is marked with the amplitude exceeding the standard;
the judgment standard of the amplitude is simple, and the judgment of the amplitude can give an output prompt only by one complete electrocardiosignal waveform in the electrocardio data
And secondly, if the amplitude does not exceed the amplitude, judging whether the time limit and the interval of the electrocardiogram waveform exceed corresponding preset thresholds, and if so, marking the electrocardiogram data with the time limit exceeding and/or the interval exceeding.
Although the time limit judgment can be completed only by one complete electrocardiosignal waveform in the electrocardio data, the judgment standards of the time limit and the interval are similar, and the duration of each wave or the interval time between two waveforms are judged, so that the two judgment standards are judged together, the times of switching the judgment standards can be reduced, and the working efficiency of the analysis equipment is improved.
And S26, calculating to obtain abnormal proportions according to the proportion of the superscalar values of all parameters of the electrocardiogram waveform to the respective parameter range values. Ready for the next step of calculating the signal level.
Step s2 further includes the following steps in sequence:
s27, analyzing the motion state information and the abnormal proportion of the marked electrocardio data at the same time point, and performing output grade division according to the analysis result;
step s27 specifically includes the following steps: as shown in fig. 4, step s27 further includes the following steps:
s272, comparing and judging the real-time speed and the preset speed of the overproof marked electrocardio data at the time point;
if the ratio is larger than 2, setting the motion state as a first motion state;
if the ratio is larger than 4, setting the motion state as a second motion state;
if the ratio is less than or equal to 1, setting the motion state as a third motion state;
if the ratio is zero, setting the motion state as a fourth motion state;
and s273, determining the signal level according to the motion state and the abnormal ratio of the monitored object.
Specifically, in the analysis of the motion state, each parameter of the electrical waveform of the electrocardiographic data center is compared with the range of the standard electrocardiographic parameter, the ratio of each calculated parameter exceeding the respective parameter range is set as an abnormal ratio p, and the motion state of the subject and the abnormal ratio p are integrated to determine the corresponding transmission time, for example, the weight coefficient method, the normal distribution coefficient method and other methods can be used for calculation.
In the present embodiment, it is assumed that the normal walking speed of the human body is 5km/h, i.e., the predetermined speed is preset to 5km/h for comparison with the real-time speed.
In other embodiments, in order to more accurately determine the exercise status of the subject, step s27 may further include the following steps: s271. obtaining a predetermined speed from the personal information of the object.
The predetermined speed may also be derived from the user's personal information. Such as: the preset speed of the person walking normally is estimated according to the height of the person to be tested, and then the preset speed is compared with the actual speed of the person to obtain the relatively accurate motion state information of the person.
As a specific example, the current movement speed is obtained from the personal information of the object, and is set to s (i.e., the aforementioned movement state), and the signal level is set to w. When the electrocardiogram data is marked to be over standard, the abnormal proportion p can be calculated, and in unit time, the p is a constant, and the formula w = p × s can be obtained according to different current motion states of the subject and different current signal levels of the subject. According to the formula, different signal levels can be determined for different motion states.
And S28, outputting by the analysis equipment according to different signal levels.
Specifically, after the waveform is further analyzed in step s27 to obtain more detailed analysis results and signal levels, the output and identification are performed according to different levels, and the output modes of different levels are different. The output mode is not limited to sound, vibration, sound plus vibration, etc. to remind the subject to notice the physical abnormality in time. If such a state of high physical load continues, the subject may be injured. Therefore, when abnormal electrocardiosignals appear on the body of the subject, the subject is prompted to pay attention to the physical condition in a remarkable way.
As shown in fig. 3, when processing the electrocardiographic data that needs to be uploaded to the hospital information system, the analysis device further adopts different uploading durations according to the motion state of the subject, specifically, step s3 includes the following steps:
and S31, reading the signal level of the monitored object according to the time point of the standard-exceeding marked electrocardio data to determine the uploading time. The uploading duration is a period of time which is centered on the time point of the superscalar mark and is determined by the signal level.
And S32, extracting one section of overproof marked electrocardio data of the uploading duration and the motion state information in the same time period, and sending the section of overproof marked electrocardio data and the motion state information to a hospital information system.
For the subject at the first signal level, extracting data with long time T1 and sending the data to a hospital information system; for the subject at the second signal level, extracting data with long time T2 and sending the data to a hospital information system; for the subject at the third signal level, extracting data with long time T3 and sending the data to a hospital information system; for the subject at the fourth signal level, extracting data with long time T4 and sending the data to a hospital information system; therefore, doctors can conveniently analyze the reasons of the parameters exceeding the threshold value according to the waveforms with different time lengths aiming at the subjects in different motion states, so as to give suggestions and reasons to the subjects in time.
As a preferred embodiment, the exercise state information of the subject with the same predetermined time length as the electrocardiogram data and the corresponding special signal level information are simultaneously sent to the hospital information system while the electrocardiogram data is uploaded, so that the medical staff can analyze the reason why the special waveform appears in the current subject data by combining the exercise state information.
In other embodiments, if supported by the hospital information system, the cardiac data marked as being out of limits is transmitted to the hospital information system and then displayed significantly to alert medical personnel to preferentially process such higher output level cardiac data.
To enhance the communication between the hospital and the subject, the hospital information system sends the advice and the reason back to the analysis device in time. The testee can know the self state conveniently and take measures in time.
As shown in fig. 3, step s1 further includes the following steps;
s11, amplifying and filtering the electrocardiograph data after the electrocardiograph data is collected by the electrocardiograph recorder, and then performing analog-to-digital conversion;
step s11 further includes a processing process of filtering interference signals such as myoelectricity and power frequency from the acquired electrocardio data;
s12, adding an identification bit for each frame of electrocardio data subjected to analog-to-digital conversion as an information mark;
the information mark is to add corresponding identification bits in the frame structure of the electrocardiographic data, such as the information number and the acquisition time of the electrocardiograph recorder for acquiring the data frame.
And S13, adding the marked electrocardio data into a transmission buffer queue. The sending unit will find out the sequence according to the queue and send in turn. If the electrocardio recorder does not receive the data sending command requested by the analysis equipment all the time and the transmission buffer queue of the data transmission module is full, the data are stored in a temporary memory of the electrocardio recorder, and if the temporary memory is not arranged, the data with a certain length at the head of the buffer queue are cleared to prepare a space for receiving new electrocardiosignal data.
Step s13 is followed by the steps of:
s14, when the analysis equipment searches the wireless signals of the electrocardiogram recorder, sending a connection establishing request command to the electrocardiogram recorder;
s15, after receiving the request command of the analysis equipment, the electrocardiograph recorder sends the identification information to the analysis equipment; the identification information is the information identification of the electrocardiograph recorder, is different from the information identification of the electrocardiograph data, and is only used for the analysis equipment to judge whether the connected object is the set electrocardiograph recorder in the system.
S16, after confirming the connection object according to the received identification information, the analysis equipment sends the request command again to complete the connection with the electrocardiogram recorder;
and S17, after receiving the data sending command of the analysis equipment, the electrocardiogram data recorder sends the electrocardiogram data to the analysis equipment through the sending unit.
As shown in fig. 3, to avoid the generation of error data, a flow procedure for maintaining the stability of the connection is provided in the data transmission between the electrocardiograph and the analysis device. As before step s2, the method further comprises the following steps:
s21, the analysis device starts timing after receiving one frame of electrocardio data, and resets timing if receiving the next frame of data is finished;
s22, if the timed duration is longer than the preset duration, the analysis equipment detects whether the connection with the electrocardiogram recorder is disconnected;
if the connection is not disconnected, the analysis equipment sends the retransmitted command and the information mark of the last frame of the electrocardiogram data to the electrocardiogram recorder;
s24, the electrocardiograph recorder retrieves corresponding electrocardiograph data according to the information marks, and a transmission buffer queue is added again with the next frame of electrocardiograph data as a queue head;
s 23' if the connection is disconnected, the analysis device resends the identification information and the request command, requests the corresponding electrocardiograph to be connected again, and then proceeds to step s17.
As shown in figure 5, the electrocardio output device adopting the method comprises an electrocardio recorder and an analysis device which are connected with each other.
The electrocardiograph recorder is provided with: the acquisition unit is used for acquiring the electrocardio data of the human body.
The analysis apparatus is provided with: a communication unit and a data analysis unit.
The communication unit is connected with the electrocardiogram recorder, receives electrocardiogram data sent by the electrocardiogram recorder and is connected with the hospital information system;
the data analysis unit is electrically connected with the communication unit and is used for analyzing, judging and correspondingly marking the received electrocardio data;
and the output unit is electrically connected with the data analysis unit and gives output information according to the result of the data analysis unit.
In this embodiment, as shown in fig. 6, the electrocardiograph recording apparatus is further provided with: the data processing unit is electrically connected with the acquisition unit and is used for preprocessing the acquired electrocardiogram data and marking information;
the sending unit is electrically connected with the data processing unit and sends the processed electrocardiogram data to the analysis equipment;
the analysis apparatus is further provided with:
the timing unit is electrically connected with the data analysis unit and is used for timing and presetting a plurality of corresponding preset time lengths;
a storage unit: the electrocardiogram data acquisition unit is electrically connected with the communication unit and used for storing the personal information of the testee and the electrocardiogram data received by the communication unit;
and the extraction unit is electrically connected with the data analysis unit, the storage unit and the communication unit and is used for extracting corresponding electrocardiogram data from the storage unit according to the result of the data analysis unit and sending the electrocardiogram data to the communication unit.
In order to meet the requirement of judging the motion state of the testee, the electrocardio recorder is also provided with: and the state monitoring unit is electrically connected with the sending unit and is used for acquiring the motion state information of the testee, so that reference data can be provided for a doctor to analyze the electrocardio data conveniently, and the physical condition of the testee can be judged more accurately.
As a preferred embodiment, the communication unit is provided with a local area network communication module and a wide area network communication module, as shown in fig. 7.
Compared with the independent arrangement of the analysis equipment, the system layout can reduce the cost and the volume of the electrocardiogram recorder serving as the acquisition device to a great extent and fully utilize the technical scheme advantages of the current intelligent platform;
in this embodiment, because the electrocardiograph continuously collects electrocardiographic data for more than 24 hours, when the data analysis function is integrated in the electrocardiograph, the data analysis efficiency and accuracy of the electrocardiograph are affected after the electrocardiograph is in contact with water or sweat due to the connection with the skin of a human body. In addition, the data volume related to the acquisition of the electrocardiographic data for more than 24 hours is large, and the current intelligent platform has a scheme of big data storage, so that the storage of the electrocardiographic physiological data for more than 24 hours can be ensured.
When the analysis equipment is independently arranged or established on a portable intelligent platform, the analysis equipment has mature technical schemes of data processing analysis and data storage, and only useful data is extracted and sent to a hospital information system when data analysis and data storage are carried out, so that the analysis resources of the hospital information system are saved, the processing efficiency is improved, and the working efficiency of medical personnel is improved.
The technical problem that most of existing dynamic electrocardiograph recorders do not have a wide area network wireless transmission module, cannot be directly used for establishing wide area network wireless connection, and send acquired data to a hospital information system is solved.
It should be noted that the diagnosis of the electrocardiogram requires the analysis and consultation of doctors according to the electrocardiogram data, clinical signs and actual cases, and the threshold judgment and analysis performed by the present invention cannot obtain the diagnosis result of the disease. If the examinee has some special conditions in the acquisition process of the electrocardiogram recorder, the device can find the conditions in time and feed back the preliminary analysis result to the hospital information system. The medical staff needs to integrate other parameters such as motion state information sent synchronously with the electrocardio data, clinical experience and corresponding diagnostic standard methods to perform detailed and accurate analysis. A determination of the physical health status of the subject and a corresponding diagnosis is made.
In the above embodiments, the state detection unit is provided with a gravity sensing circuit and/or a speed sensing circuit. The analysis equipment can analyze according to the motion state information, and classify the electrocardio data according to the analysis result, and meanwhile, the motion state of the subject can be judged more accurately.
According to the electrocardio output method and the device using the electrocardio output method, on the basis of dynamically monitoring the electrocardio data of the testee, the analysis device capable of forming stable data connection with the acquisition electrocardio recorder is additionally arranged, so that the output can be provided for the testee in the monitoring process. Meanwhile, under the condition supported by a hospital information system, the electrocardiogram data of the testee in a special condition can be uploaded in time, so that diagnosis of a doctor and corresponding measures for the testee are facilitated, the practicability of the dynamic electrocardiogram monitoring system is improved, and better use experience is provided for the testee and medical staff.
The above-mentioned embodiments are merely preferred examples of the present invention, and not intended to limit the present invention, and those skilled in the art can easily make various changes and modifications according to the main concept and spirit of the present invention, so that the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (9)
1. An electrocardiogram output method is characterized by comprising the following steps:
s1. collecting ECG data;
s2, analyzing and comparing the electrocardiogram data, and if the electrocardiogram data exceeds a preset range, marking the electrocardiogram data to be out of standard according to a time point when the electrocardiogram data exceeds the preset range and outputting the marked electrocardiogram data;
s3. includes steps s31 and s32, wherein,
s31, reading the signal grade of the monitored object according to the time point of the electrocardiogram data marked as exceeding the standard to determine an uploading time length, wherein the uploading time length is a period of time taking the time point as a center and determining the length by the signal grade, the signal grade is determined according to the motion state information and the abnormal proportion of the monitored object at the time point, and the abnormal proportion is calculated according to the proportion of the exceeding standard value of each parameter in the electrocardiogram data to the range value of each parameter;
and S32, extracting a section of the electrocardio data marked in an exceeding standard in uploading duration and the motion state information in the same time period, and sending the extracted electrocardio data and the motion state information to a hospital information system so that medical personnel can perform detailed analysis according to the sent electrocardio data marked in an exceeding standard.
2. The method for outputting electrocardiographic power according to claim 1 wherein said step s1 and said step s2 are executed in different devices respectively.
3. The method for outputting electrocardiograph according to claim 1 wherein said step s3 further comprises the step of extracting the exercise status information of the same time slot as that of said electrocardiographic data which is marked as exceeding the standard and sending it to a hospital information system.
4. The cardiac electrical output method according to claim 3, wherein the step s2 specifically comprises the following sequential steps:
s25, judging whether each parameter of the electrocardiogram waveform in the electrocardiogram data exceeds a corresponding preset threshold value, and if so, marking the electrocardiogram data to be out of standard; if not, executing step s25 on the next frame of electrocardiogram data;
and S26, calculating to obtain abnormal proportions according to the proportion of the superscalar values of all parameters of the electrocardiogram waveform to the respective parameter range values.
5. The method for outputting electrocardiograph according to claim 4, wherein step s2 further comprises the following steps in sequence:
s27, analyzing the motion state information and abnormal proportion of the same time point of the electrocardio data marked as exceeding standard, and grading the signals according to the analysis result;
and S28, outputting by the analysis equipment according to different signal levels.
6. The cardiac electrical output method as set forth in claim 5, wherein the step s1 is further executed by: s4. collecting movement data;
when the step s2 is executed, the following steps are also executed: s5. calculate a real-time velocity from the motion data.
7. The cardiac electrical output method as set forth in claim 6, wherein the step s27 comprises the steps of:
s272, comparing and judging the real-time speed and the preset speed of the overproof marked electrocardio data at the time point;
if the ratio is larger than 2, setting the motion state as a first motion state;
if the ratio is larger than 4, setting the motion state as a second motion state;
if the ratio is less than or equal to 1, setting the motion state as a third motion state;
if the ratio is zero, setting the motion state as a fourth motion state;
and s273, determining the signal level according to the motion state and the abnormal ratio of the monitored object.
8. An electrocardiographic output device, comprising:
an electrocardiograph and an analyzing device connected to each other; the electrocardiograph recorder is provided with:
the acquisition unit is used for acquiring the electrocardio data of the human body;
the analysis apparatus is provided with: the data analysis unit is electrically connected with the communication unit, analyzes and judges the received electrocardio data, and marks the electrocardio data exceeding the standard according to the time point when the electrocardio data exceeds the preset range if the electrocardio data exceeds the preset range;
the output unit is electrically connected with the data analysis unit and gives output information according to the output result of the data analysis unit;
the analysis equipment is also connected with a hospital information system, and reads the signal grade of the monitored object according to the time point of the standard-exceeding marked electrocardiogram data to determine the uploading duration, wherein the uploading duration is a period of time with the time point as the center and the length determined by the signal grade, the signal grade is determined according to the motion state information and the abnormal proportion of the monitored object at the time point, and the abnormal proportion is calculated according to the ratio of the standard-exceeding value of each parameter in the electrocardiogram data to the range value of each parameter; extracting a section of the electrocardio data marked in an exceeding standard time period and the motion state information in the same time period, and sending the section of the electrocardio data marked in the exceeding standard time period and the motion state information to a hospital information system so that medical personnel can perform detailed analysis according to the sent section of the electrocardio data marked in the exceeding standard time period.
9. The ecg output device of claim 8, wherein the ecg monitor further comprises:
the data processing unit is electrically connected with the acquisition unit and is used for preprocessing the acquired electrocardiogram data and marking information;
the sending unit is electrically connected with the data processing unit and sends the processed electrocardiogram data to the analysis equipment;
the analysis apparatus is provided with:
the communication unit is connected with the electrocardiogram recorder and receives the electrocardiogram data sent by the electrocardiogram recorder;
the communication unit is provided with a local area network communication module and a wide area network communication module; the communication unit is also connected with a hospital information system.
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| CN109948396B (en) * | 2017-12-20 | 2021-07-23 | 深圳市理邦精密仪器股份有限公司 | Heart beat classification method, heart beat classification device and electronic equipment |
| WO2019232695A1 (en) * | 2018-06-05 | 2019-12-12 | 深圳迈瑞生物医疗电子股份有限公司 | Motion sensor-based physiological parameter optimization method and monitoring device |
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