CN107440708A - The lead-fail detector computing system and its method of electrocardiograph based on Android system - Google Patents
The lead-fail detector computing system and its method of electrocardiograph based on Android system Download PDFInfo
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- 238000006243 chemical reaction Methods 0.000 claims description 38
- 238000004364 calculation method Methods 0.000 claims description 37
- WABPQHHGFIMREM-UHFFFAOYSA-N lead(0) Chemical compound [Pb] WABPQHHGFIMREM-UHFFFAOYSA-N 0.000 claims description 4
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- 230000018109 developmental process Effects 0.000 description 2
- 238000009429 electrical wiring Methods 0.000 description 2
- 230000006578 abscission Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000002565 electrocardiography Methods 0.000 description 1
- 238000004299 exfoliation Methods 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
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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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Abstract
The invention discloses a kind of lead-fail detector computing system of electrocardiograph based on Android system and its method, it is characterised in that including：The first step, obtain lead-fail detector data；Second step, two times transfer module are split and spliced to the lead-fail detector data of acquisition；3rd step, judge current lead connection status using software algorithm；4th step, the result that will determine that notify user in the form of dialog box.Lead-fail detector detection calculating is successfully applied in Android system by the present invention, and on the basis of additional hardware is not increased, using software algorithm, quickly calculates the state that current lead connects simultaneously with ensureing accuracy.According to the present invention, 513 kinds of lead-fail detector states can just calculate result to 12 lead electrocardiogram machines within 0.1 second altogether, compared to conventional method, greatly reducing and calculate the time；Intuitively result is pushed and shown, allows user more efficiently to solve current lead connectivity problem.
Description
Technical Field
The invention belongs to the technical field of biomedicine and calculation, and particularly relates to a lead falling-off calculation system and method of an electrocardiogram machine based on an android system.
Background
A lead (lead) is a wire, which is a wire that connects two points in a circuit, in the electronic sense. In bioelectrical recording it is intended to be a term "lead". The electrocardio lead refers to the connection mode that when recording electrocardio signals, an input lead and an electrode are placed at a specific test part, a reference part and a grounding part of a human body. Electrocardiography has established the current 12-lead convention position through recent centuries of development and long-term clinical practice.
At present, most mature lead falling calculation methods adopt an LED fault lamp mode, a lamp is flashed when a lead falls off, and the identification degree of the specific lead falling is low; or the starting state detection of the singlechip is adopted, the algorithm is complex, and the instantaneity is not high. With the rapid development of embedded software and hardware platforms, it is a demand to detect the lead state in real time and visually display the lead state to users. Therefore, the method for calculating the lead falling based on the android system has important practical significance.
Disclosure of Invention
The invention aims to provide a system and a method for calculating the lead falling of an electrocardiograph based on an android system, aiming at the defects of the prior art, which can judge the current lead connection state by using a software algorithm and visually display the current lead connection state to a user, thereby reducing unnecessary waiting of the user and repeated searching of specific fallen lead wire electrodes.
The invention provides a lead falling-off calculation system of an electrocardiogram machine based on an android system, which is characterized by comprising a front-end data acquisition module, a display module and a main control panel, wherein the front-end data acquisition module is used for being connected with a human body and acquiring bioelectricity signals; the front-end data acquisition module is electrically connected with the internal interface module of the main control board through a USB wire, the central processing module is electrically connected with the internal interface module, and the central processing module realizes data interaction with the front-end data acquisition module through the internal interface module; the data acquisition module transmits the bioelectric signals of the lead shedding data acquired from the organism to the central processing module; the central processing module transmits data to the signal conversion module, and the signal conversion module is responsible for converting the bioelectric signals into digital signals and then realizing splicing of the digital signals of the lead falling data and conversion of voltage; the signal conversion module transmits the processed lead falling data to the data acquisition module, and the data acquisition module realizes the acquisition operation of the specified byte data of the lead falling data; the data acquisition module transmits the acquired lead falling data to the secondary conversion module, and the secondary conversion module realizes the re-splitting and splicing of the data; the secondary conversion module transmits the rearranged lead falling data to the data calculation module, the data calculation module receives the lead falling data and judges the current lead connection state, and the data calculation module transmits the calculation result to the display module for display through the internal interface module under the allocation of the central processing module.
The invention provides a lead falling calculation method of an electrocardiogram machine based on an android system, which is characterized by comprising the following steps: it comprises the following steps:
the method comprises the following steps that firstly, a front-end data acquisition module acquires a bioelectricity signal of a human body and transmits the bioelectricity signal to a central processing module;
secondly, the central processing module transmits data to the signal conversion module, and the signal conversion module is responsible for converting the bioelectric signals into digital signals and then realizing splicing of the digital signals of the lead falling data and voltage conversion; the data acquisition module acquires appointed byte data from the processed lead falling data and transmits the appointed byte data to the secondary conversion module;
thirdly, the secondary conversion module splits and splices the acquired lead shedding data and transmits the processed data to the data calculation module;
fourthly, judging the current lead connection state by a data calculation module;
fifthly, the data calculation module transmits the calculation result to the display module for display through the internal interface module under the allocation of the central processing module.
In the above technical solution, the length of the specified lead-off data obtained by the data obtaining module in the second step is 3 bytes of 24-bit data.
In the above technical solution, in the third step, the splitting and splicing lead-off data is obtained by splitting the front 4 bits and the rear 4 bits of the 24-bit data as a fixed data command format, and splicing the middle 16 bits to represent the lead-off data.
In the above technical solution, the fourth step includes the steps of comparing the obtained lead-off data with the connection-off data of the last stored lead-off state, and entering a normal lead-off judgment program for judgment if the obtained lead-off data is the same as the connection-off data reported by the last lead-off state; if the signals reported by the lead falling are different from the signals reported by the previous lead falling, the normal lead falling judgment program is not entered, and only the connection falling data reported by the lead falling is stored; when entering a judging process, preferentially judging that the whole lead wire is not connected or signals fall off while the right-hand lead of the right leg is connected; judging a right leg lead falling signal; finally, the table lookup is performed to determine another 9 single and combined signals.
In the above technical solution, the lead connection state is judged once every 50 data points.
The current lead state can be calculated once in 2ms as fast as the test on the electrocardiograph based on the android system. The lead state is calculated too frequently, the system overhead is increased, the current lead state is calculated only in 0.1s once by selecting every 50 points through repeated tests, compared with the traditional mode, the calculation time is greatly shortened, a large amount of waiting time is saved for a user, the time for searching for specific lead falling is saved, and the working efficiency is improved.
Compared with the traditional method, the lead falling calculation method based on the android system has the characteristics of rapidness, accuracy, no additional hardware, simple software algorithm and the like. The method greatly improves the real-time performance and accuracy of the lead falling calculation, and is particularly suitable for being applied to embedded and handheld mobile terminals such as android, Linux and the like, so that the usability and the practicability of the lead falling are greatly improved.
Drawings
FIG. 1 is a schematic view of the inventive structure;
fig. 2 is an electrical wiring diagram for the present invention patent.
FIG. 3 is a software flow diagram of the present invention patent.
Detailed Description
The invention will be further described in detail with reference to the following drawings and specific examples, which are not intended to limit the invention, but are for clear understanding.
The invention is described in detail below with reference to specific examples:
as shown in fig. 1, the method for calculating the lead drop of the electrocardiograph based on the android system is implemented on the electrocardiograph based on the android system, and includes a main control board, a display module, a front-end data acquisition module, and the like. The Central Processing Unit (CPU) used by the central processing module of the main control board adopts a Freescale i.MX6Q quad-core industrial processor, and has extremely high performance, excellent power consumption performance, extremely high cost performance and stability. The invention comprises a front-end data acquisition module, a display module and a main control panel, wherein the front-end data acquisition module is used for being connected with a human body and acquiring bioelectricity signals; the front-end data acquisition module is electrically connected with the internal interface module of the main control board through a USB wire, the central processing module is electrically connected with the internal interface module, and the central processing module realizes data interaction with the front-end data acquisition module through the internal interface module; the data acquisition module transmits the bioelectric signals of the lead shedding data acquired from the organism to the central processing module; the central processing module transmits data to the signal conversion module, and the signal conversion module is responsible for converting the bioelectric signals into digital signals and then realizing splicing of the digital signals of the lead falling data and conversion of voltage; the signal conversion module transmits the processed lead falling data to the data acquisition module, and the data acquisition module realizes the acquisition operation of the specified byte data of the lead falling data; the data acquisition module transmits the acquired lead falling data to the secondary conversion module, and the secondary conversion module realizes the re-splitting and splicing of the data; the secondary conversion module transmits the rearranged lead falling data to the data calculation module, the data calculation module receives the lead falling data and judges the current lead connection state, and the data calculation module transmits the calculation result to the display module for display through the internal interface module under the allocation of the central processing module.
As shown in fig. 2, it is an electrical wiring diagram of the electrocardiograph based on the android system in the embodiment.
Fig. 3 is a software flowchart of the method for calculating lead-off of electrocardiograph based on android system according to the present embodiment. The invention is described in detail below with reference to specific examples:
through obtaining the data that leads and fall off and use the software algorithm to inquire out the current lead connection state fast and accurately to the intuitive inquiry result that shows the user, its characterized in that includes: a method for calculating lead shedding based on an android system.
The program of the present invention is made into one thread, and executed once every 50 points. No interference is generated on the system performance and other functions of the system are not influenced.
The flag0 is a constant, decimal value 12582912, indicating a state where all leads are not dropped.
The invention relates to a method for calculating lead falling under an android system by taking special data of 48 th, 49 th and 50 th bytes in an acquisition module as an example. The method comprises the following specific steps:
(1) obtaining lead shedding data
The data acquisition module transmits the bioelectricity signals acquired from the organism to the central processing module; the central processing module transmits data to the signal conversion module; the signal conversion module is responsible for converting the bioelectricity signals into digital signals and then realizing data splicing and voltage conversion; the data acquisition module acquires 48 th, 49 th and 50 th byte data in each data packet from the converted data and transmits the data to the secondary conversion module.
(2) The secondary conversion module splits and splices the acquired lead shedding data
The secondary conversion module mainly comprises two steps of splitting bytes and splicing bytes: splitting the byte, namely splitting the front 4 bits and the rear 4 bits in each byte and defining, wherein the front 4 bits of the 48 th byte are used as a command header and are fixed with codes 1100; the 50 th byte is followed by 4 bits as the end of the command, fixing the code 0000. The splicing byte is formed by splicing the rear 4 bits of the 48 th byte and the front 4 bits of the 49 th byte into a byte, is defined as 8-channel positive electrode lead falling data and sequentially represents V1, V5, V4, V3, V2, left leg, left hand and V6, 1 represents falling, and 0 represents normal connection; splicing the second 4 bits of the 49 th byte and the first 4 bits of the 50 th byte into a byte, defining as 8-channel negative lead falling data, wherein the first 4 bits are vacant, a fixed code 0000 is reserved, the first 1 bit and the second 4 bits in the second 4 bits are vacant, the fixed code 0 selects the second 2 bit and the third 3 bit to jointly represent a right-hand falling signal, the definition 11 represents that the right-hand lead falls, and the definition 00 represents that the right-hand lead connection is normal. The secondary conversion module splits and splices the acquired lead shedding data and then transmits the data to the data calculation module;
(3) the data calculation module judges the current lead connection state
The data calculation module judges that the premise is as follows: comparing each time with the last stored lead falling state, and if the lead falling state is the same as the signal reported by the last lead falling state, entering a normal lead falling judgment program for judgment; if the signal reported by the lead falling is different from the signal reported by the previous lead falling, the normal lead falling judgment program is not entered, and only the signal reported by the lead falling is stored, and the operation is circulated downwards.
The judging sequence is as follows: firstly, judging that the whole lead wire is not connected and the right leg signal is searched, and then judging another 9 single and combined signals. The specific process is as follows:
if (110011111111000001100000) the 16 bits are simultaneously satisfied, judging that the current state is that the cable is not connected or the right-hand guide connection of the right leg is simultaneously dropped;
when the probing signal is present (110011111111000000000000), judging that the right leg lead is fallen;
then, the process goes to a table lookup and dropping procedure. Wherein,
110010000000000000000000 represents a V1 split
110001000000000000000000 represents a V5 split
110000100000000000000000 represents a V4 split
110000010000000000000000 represents a V3 split
110000001000000000000000 represents a V2 split
110000000100000000000000 for left leg drop
110000000010000000000000 represents left-handed abscission
110000000001000000000000 represents a V6 split
110000000000000001100000 for right hand exfoliation
(4) The data calculation module informs the user of the judgment result
And transmitting the calculation result to a display module by the data calculation module under the allocation of the central processing module through the internal interface module for displaying the result of the last step of judgment, and displaying the result to a user by the display module.
Details not described in this specification are within the skill of the art that are well known to those skilled in the art.
Claims (6)
1. A lead falling-off calculation system of an electrocardiograph based on an android system is characterized by comprising a front-end data acquisition module, a display module and a main control panel, wherein the front-end data acquisition module is used for being connected with a human body and acquiring bioelectricity signals; the front-end data acquisition module is electrically connected with the internal interface module of the main control board through a USB wire, the central processing module is electrically connected with the internal interface module, and the central processing module realizes data interaction with the front-end data acquisition module through the internal interface module; the data acquisition module transmits the bioelectric signals of the lead shedding data acquired from the organism to the central processing module; the central processing module transmits data to the signal conversion module, and the signal conversion module is responsible for converting the bioelectric signals into digital signals and then realizing splicing of the digital signals of the lead falling data and conversion of voltage; the signal conversion module transmits the processed lead falling data to the data acquisition module, and the data acquisition module realizes the acquisition operation of the specified byte data of the lead falling data; the data acquisition module transmits the acquired lead falling data to the secondary conversion module, and the secondary conversion module realizes the re-splitting and splicing of the data; the secondary conversion module transmits the rearranged lead falling data to the data calculation module, the data calculation module receives the lead falling data and judges the current lead connection state, and the data calculation module transmits the calculation result to the display module for display through the internal interface module under the allocation of the central processing module.
2. A lead falling calculation method of an electrocardiogram machine based on an android system is characterized by comprising the following steps: it comprises the following steps:
the method comprises the following steps that firstly, a front-end data acquisition module acquires a bioelectricity signal of a human body and transmits the bioelectricity signal to a central processing module;
secondly, the central processing module transmits data to the signal conversion module, and the signal conversion module is responsible for converting the bioelectric signals into digital signals and then realizing splicing of the digital signals of the lead falling data and voltage conversion; the data acquisition module acquires appointed byte data from the processed lead falling data and transmits the appointed byte data to the secondary conversion module;
thirdly, the secondary conversion module splits and splices the acquired lead shedding data and transmits the processed data to the data calculation module;
fourthly, judging the current lead connection state by a data calculation module;
fifthly, the data calculation module transmits the calculation result to the display module for display through the internal interface module under the allocation of the central processing module.
3. The method according to claim 2, wherein the length of the lead-off data obtained by the data obtaining module in the second step is 3 bytes of 24-bit data.
4. The method according to claim 3, wherein the splitting and splicing of the lead-off data in the third step is performed by splitting the first 4 bits and the last 4 bits of the 24-bit data into a fixed data command format, and splicing the middle 16 bits to represent the lead-off data.
5. The method according to claim 4, wherein the fourth step comprises comparing the obtained lead-off data with the previous stored connection-off data in the lead-off state, and if the obtained lead-off data is the same as the connection-off data reported in the previous lead-off state, entering a normal lead-off judgment program for judgment; if the signals reported by the lead falling are different from the signals reported by the previous lead falling, the normal lead falling judgment program is not entered, and only the connection falling data reported by the lead falling is stored; when entering a judging process, preferentially judging that the whole lead wire is not connected or signals fall off while the right-hand lead of the right leg is connected; judging a right leg lead falling signal; finally, the table lookup is performed to determine another 9 single and combined signals.
6. The method for calculating lead detachment of electrocardiograph based on android system according to claim 2, wherein the lead connection state is judged once every 50 data points.
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