CN116098631B - Method, system, terminal and storage medium for processing intra-cavity electric signals - Google Patents

Method, system, terminal and storage medium for processing intra-cavity electric signals Download PDF

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CN116098631B
CN116098631B CN202310180376.4A CN202310180376A CN116098631B CN 116098631 B CN116098631 B CN 116098631B CN 202310180376 A CN202310180376 A CN 202310180376A CN 116098631 B CN116098631 B CN 116098631B
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signal
filtering
signals
frequency band
preset frequency
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CN116098631A (en
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樊锋旭
张勇
张嘉彧
李章俊
肖昆
戴振华
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Shanghai Hongtong Industrial Co ltd
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Shanghai Hongtong Industrial Co ltd
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    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/24Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316Modalities, i.e. specific diagnostic methods
    • A61B5/318Heart-related electrical modalities, e.g. electrocardiography [ECG]
    • A61B5/346Analysis of electrocardiograms
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/24Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/25Bioelectric electrodes therefor
    • A61B5/279Bioelectric electrodes therefor specially adapted for particular uses
    • A61B5/28Bioelectric electrodes therefor specially adapted for particular uses for electrocardiography [ECG]
    • A61B5/283Invasive
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/24Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316Modalities, i.e. specific diagnostic methods
    • A61B5/318Heart-related electrical modalities, e.g. electrocardiography [ECG]
    • A61B5/346Analysis of electrocardiograms
    • A61B5/347Detecting the frequency distribution of signals
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/72Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7203Signal processing specially adapted for physiological signals or for diagnostic purposes for noise prevention, reduction or removal
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/72Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7225Details of analog processing, e.g. isolation amplifier, gain or sensitivity adjustment, filtering, baseline or drift compensation
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/72Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235Details of waveform analysis
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00Reducing energy consumption in communication networks
    • Y02D30/70Reducing energy consumption in communication networks in wireless communication networks

Abstract

The application provides a processing method, a system, a terminal and a storage medium of an intra-cavity electric signal, which relate to the field of signals, in particular to a processing method of an intra-cavity electric signal, comprising the following steps: acquiring an intracavity electric signal to be processed; performing broadband bandpass filtering on the to-be-processed intra-cavity electric signal to obtain a first filtering signal; carrying out band-pass filtering on the first filtering signal by adopting different preset frequency bands to obtain filtering signals of different frequency bands; and carrying out signal synthesis on the filtered signals of different frequency bands and the first filtered signal by using a preset algorithm to obtain a synthesized signal. The application can accurately identify far-field signals and near-field signals in the electric signals in the cavity, and reduce signal distortion.

Description

Method, system, terminal and storage medium for processing intra-cavity electric signals
Technical Field
The present application relates to the field of signal processing, and in particular, to a method, a system, a terminal, and a storage medium for processing an intra-cavity electrical signal.
Background
The frequency band of the electrical signal generated by different biological cells (such as myocardial cells, pulmonary vein sleeves, etc.) in the intracardiac signals is different. The spatial distance between the signal generated by the biological cell and the recording electrode will also have different effects on the electrical signal, so that the same electrode will record mixed signals with different distances within a certain distance range, which are called far field signals and near field signals. For arrhythmia treatment, it is necessary to accurately identify near field signals, how far field signals are masked. The conventional intracardiac electric signal filtering method generally adopts uniform filtering parameters, and the problems of signal distortion caused by unobtrusive characteristics and unmatched signal and filtering parameters can occur.
Therefore, how to accurately identify far-field signals and near-field signals in an intra-cavity electrical signal and reduce signal distortion is a technical problem to be solved by those skilled in the art.
Disclosure of Invention
In order to solve the technical problems, the application provides a processing method of an intra-cavity electric signal, which can accurately identify far-field signals and near-field signals in the intra-cavity electric signal and reduce signal distortion. The application also provides a processing system, a terminal and a storage medium of the intra-cavity electric signal, which have the same technical effects.
A first object of the present application is to provide a method of processing an electrical signal in a cavity.
The first object of the present application is achieved by the following technical solutions:
a method of processing an electrical signal within a cavity, comprising:
acquiring an intracavity electric signal to be processed;
performing broadband bandpass filtering on the to-be-processed intra-cavity electric signal to obtain a first filtering signal;
carrying out band-pass filtering on the first filtering signal by adopting different preset frequency bands to obtain filtering signals of different frequency bands;
and carrying out signal synthesis on the filtered signals of different frequency bands and the first filtered signal by using a preset algorithm to obtain a synthesized signal.
Preferably, in the method for processing an intra-cavity electrical signal, the step of bandpass filtering the first filtered signal with different preset frequency bands to obtain filtered signals with different frequency bands includes:
dividing the first filtering signal according to a preset signal amplitude threshold value to obtain a baseline signal and a characteristic signal;
carrying out band-pass filtering on the characteristic signals in a first preset frequency band to obtain second filtering signals;
carrying out band-pass filtering on the characteristic signals in a second preset frequency band to obtain third filtering signals;
carrying out band-pass filtering on the characteristic signal in a third preset frequency band to obtain a fourth filtering signal;
the first preset frequency band is higher than the second preset frequency band, and the second preset frequency band is higher than the third preset frequency band.
Preferably, in the method for processing an intra-cavity electrical signal, the signal synthesis is performed on the filtered signals of different frequency bands and the first filtered signal by using a preset algorithm to obtain a synthesized signal, including:
and carrying out signal synthesis on the baseline signal, the second filtering signal, the third filtering signal and the fourth filtering signal by using a preset algorithm to obtain a synthesized signal.
Preferably, in the method for processing an intra-cavity electrical signal, the synthesizing the baseline signal, the second filtered signal, the third filtered signal and the fourth filtered signal by using a preset algorithm to obtain a synthesized signal includes:
selecting a signal with the largest peak value in each time period from the second filtering signal, the third filtering signal and the fourth filtering signal according to the time period of the characteristic signal to obtain a screening signal;
and according to the screening signal and the baseline signal, carrying out signal synthesis according to a time line to obtain a synthesized signal.
Preferably, in the method for processing an electrical signal in a cavity,
the first preset frequency band is 300 Hz-490 Hz;
the second preset frequency band is 150 Hz-250 Hz;
the third preset frequency band is 10 Hz-60 Hz.
A second object of the present application is to provide a system for processing an electrical signal in a cavity.
The second object of the present application is achieved by the following technical solutions:
a system for processing an electrical signal within a cavity, comprising:
the signal acquisition module is used for acquiring an intracavity electric signal to be processed;
the first processing module is used for carrying out broadband bandpass filtering on the electric signals in the cavity to be processed to obtain first filtering signals;
the second processing module is used for carrying out band-pass filtering on the first filtering signal by adopting different preset frequency bands to obtain filtering signals of different frequency bands;
and the signal synthesis module is used for carrying out signal synthesis on the filtered signals of the different frequency bands and the first filtered signal by using a preset algorithm to obtain a synthesized signal.
Preferably, in the processing system of an intra-cavity electrical signal, the second processing module specifically includes:
the signal dividing sub-module is used for dividing the first filtering signal according to a preset signal amplitude threshold value to obtain a baseline signal and a characteristic signal;
the first filtering sub-module is used for carrying out band-pass filtering on the characteristic signals in a first preset frequency band to obtain second filtering signals;
the second filtering sub-module is used for carrying out band-pass filtering on the characteristic signals in a second preset frequency band to obtain third filtering signals;
the third filtering sub-module is used for carrying out band-pass filtering on the characteristic signals in a third preset frequency band to obtain fourth filtering signals;
the first preset frequency band is higher than the second preset frequency band, and the second preset frequency band is higher than the third preset frequency band.
Preferably, in the processing system for an intra-cavity electrical signal, the signal synthesis module is configured to, when performing signal synthesis on the filtered signals of different frequency bands and the first filtered signal by using a preset algorithm, obtain a synthesized signal:
and carrying out signal synthesis on the baseline signal, the second filtering signal, the third filtering signal and the fourth filtering signal by using a preset algorithm to obtain a synthesized signal.
A third object of the present application is to provide a processing terminal for an intra-cavity electrical signal.
The third object of the present application is achieved by the following technical solutions:
a terminal for processing an electrical signal in a cavity, comprising: a storage medium and a processor;
computer-executable instructions are stored in the storage medium;
the processor executes computer-executable instructions stored on the storage medium to implement any one of the methods of processing an intra-cavity electrical signal described above.
A fourth object of the present application is to provide a computer-readable storage medium.
The fourth object of the present application is achieved by the following technical solutions:
a computer readable storage medium having stored therein computer executable instructions for implementing any of the methods of processing of an intra-cavity electrical signal described above when executed by a processor.
According to the technical scheme, the first filtering signal is obtained by carrying out broadband bandpass filtering on the electric signals in the cavity to be processed, the filtering signals in different frequency bands are obtained by carrying out bandpass filtering on the first filtering signal by adopting different preset frequency bands, and targeted filtering can be carried out based on refinement of filtering parameters. And the signals of the specific frequency range, the near-field signal and the far-field signal can be clearly divided by utilizing a preset algorithm to perform signal synthesis on the filtered signals of the different frequency ranges and the first filtered signal to obtain a synthesized signal. In conclusion, the technical scheme can accurately identify far-field signals and near-field signals in the intra-cavity electric signals, and reduce signal distortion.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are required to be used in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments described in the present application, and other drawings may be obtained according to the drawings without inventive effort to those skilled in the art.
Fig. 1 is a schematic flow chart of a method for processing an intra-cavity electrical signal according to an embodiment of the present application;
FIG. 2 is a schematic flow chart of band-pass filtering of different preset frequency bands provided in an embodiment of the present application;
FIG. 3 is a waveform diagram of a first filtered signal;
FIG. 4 is a schematic flow chart of a method for processing an intra-cavity electrical signal according to an embodiment of the present application;
FIG. 5 is a waveform diagram of a third filtered signal;
FIG. 6 is a waveform diagram of a fourth filtered signal;
FIG. 7 is a schematic diagram of a system for processing an electrical signal in a cavity according to an embodiment of the present application;
fig. 8 is a schematic structural diagram of a terminal for processing an intra-cavity electrical signal according to an embodiment of the present application.
Detailed Description
In order to enable those skilled in the art to better understand the technical solutions of the present application, the technical solutions of the embodiments of the present application will be clearly and completely described below, and it is obvious that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
In the embodiments provided in the present application, it should be understood that the disclosed method and system may be implemented in other manners. The system embodiments described below are merely illustrative, and for example, the division of modules is merely a logical function division, and other divisions may be implemented in practice, such as: multiple modules or components may be combined, or may be integrated into another system, or some features may be omitted, or not performed. In addition, the various components shown or discussed may be coupled or directly coupled or communicatively coupled to each other via some interface, whether indirectly coupled or communicatively coupled to devices or modules, whether electrically, mechanically, or otherwise.
It should be appreciated that the use of "systems," "devices," "units," and/or "modules" in this disclosure is but one way to distinguish between different components, elements, parts, portions, or assemblies at different levels. However, if other words can achieve the same purpose, the word can be replaced by other expressions.
Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more such feature. In the description of the present application, the meaning of "a plurality" or "a number" means two or more, unless specifically defined otherwise.
If a flowchart is used in the present application, the flowchart is used to describe the operations performed by a system according to an embodiment of the present application. It should be appreciated that the preceding or following operations are not necessarily performed in order precisely. Rather, the steps may be processed in reverse order or simultaneously. Also, other operations may be added to or removed from these processes.
It should also be noted that, in this document, terms such as "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that an 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 article or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in an article or apparatus that comprises such element.
The embodiment of the application is written in a progressive manner.
As shown in fig. 1, an embodiment of the present application provides a method for processing an intra-cavity electrical signal, including:
s101, acquiring an intracavity electric signal to be processed;
in S101, the intra-cavity electrical signal may be acquired based on an existing intra-cardiac-cavity signal acquisition device, for example, may be acquired by using a recording electrode, and a specific acquisition manner thereof does not affect implementation of the embodiment. The frequency bands of the electrical signals generated by different biological cells in the intracardiac signals are different, and the signals are used as a mixed signal which needs further processing to provide accurate data reference for clinical judgment. In general, the intra-luminal electrical signal may include a bundle of His (also known as an atrioventricular bundle) signal, an LAA (left atrial appendage ) signal, a pulmonary vein signal, a near field signal, a far field signal, and the like. Wherein the His bundle signal is a high-frequency electrical signal formed by His tissues between an atrium and a ventricle in a physiological state; the LAA is an anatomical structure of the left atrium, which generates an electrical signal in a normal physiological state or in a pathological condition, and the signal intensity is usually high, and the recording electrode can record the LAA signal in a region adjacent to the LAA. The pulmonary vein is a moving tissue of the left atrium, and the pulmonary vein at the interface part of the left atrium is usually internally provided with atrial musculature (pulmonary vein cuff), and the corresponding potential can be recorded by placing the recording electrode in the pulmonary vein cuff, which is called pulmonary vein potential, so that the pulmonary vein is electrically isolated, and a good potential signal for distinguishing the pulmonary vein potential from adjacent tissues around the pulmonary vein is required. Usually, because of the close tissue space, the left upper pulmonary vein and the left auricle are placed in the left upper pulmonary vein, and the pulmonary vein potential and the left auricle potential are difficult to be directly distinguished; the near field signal is an electric signal generated by the endocardial tissue in contact with the recording electrode directly; the far-field signal is an electrical signal generated by the recording electrode not directly contacting the tissue in the heart, which is usually the adjacent area of the tissue, or the electrical signal of the tissue has a larger intensity and can be recorded by the recording electrode with a longer distance.
S102, carrying out broadband bandpass filtering on the to-be-processed intra-cavity electric signal to obtain a first filtering signal;
in S102, the filtering parameters of the broadband band-pass filtering may be determined according to actual signal processing requirements; interference noise of the electric signals in the cavity can be filtered through broadband band-pass filtering; the broadband band-pass is characterized by wider passband, so as to collect more signals as much as possible and avoid signal omission, and the broadband band-pass filtering can adopt a frequency range of 0.5 Hz-500 Hz.
S103, carrying out band-pass filtering on the first filtering signal by adopting different preset frequency bands to obtain filtering signals of different frequency bands;
in S103, the preset frequency band may be determined according to frequency characteristics of different signals in the electrical signals in the cavity, so as to perform targeted filtering based on refinement of filtering parameters, and perform careful distinction on the electrical signals in the cavity, so as to avoid signal distortion caused by mismatching between the signals and the filtering parameters.
S104, carrying out signal synthesis on the filter signals in different frequency bands and the first filter signal by using a preset algorithm to obtain a synthesized signal.
In S104, the preset algorithm may use an amplitude-dependent synthesis algorithm, and the amplitude-dependent synthesis algorithm may identify a filtered signal with the largest amplitude from the filtered signals in different frequency bands, and perform signal synthesis based on the filtered signal with the largest amplitude and the first filtered signal, so that the characteristics of the synthesized signal may be more prominent. In this step, the signal synthesis is performed on the filtered signals in different frequency bands and the first filtered signal by using a preset algorithm to obtain a synthesized signal, so that the signals in the specific frequency band (such as a His beam signal and a pulmonary vein signal) can be clearly divided into a near-field signal and a far-field signal.
According to the embodiment, the first filtering signal is obtained by carrying out broadband bandpass filtering on the electric signals in the cavity to be processed, the first filtering signal is subjected to bandpass filtering by adopting different preset frequency bands to obtain the filtering signals in different frequency bands, and targeted filtering can be carried out based on refinement of the filtering parameters. And the signals of the specific frequency range, the near-field signal and the far-field signal can be clearly divided by utilizing a preset algorithm to perform signal synthesis on the filtered signals of the different frequency ranges and the first filtered signal to obtain a synthesized signal. In summary, the above embodiments can accurately identify the far-field signal and the near-field signal in the intra-cavity electrical signal, and reduce signal distortion.
As shown in fig. 2, in other embodiments of the present application, the implementation manner of performing band-pass filtering on the first filtered signal by using different preset frequency bands to obtain the filtered signals of different frequency bands specifically includes the following steps:
s201, dividing the first filtering signal according to a preset signal amplitude threshold value to obtain a baseline signal and a characteristic signal;
in S201, the first filtered signal may be represented as a set of signals collected from the recording electrode at specific time intervals (i.e. signal sampling frequency/period), the output signal amplitude is calibrated by signal amplification and filtering (i.e. filtering in a certain frequency range, such as broadband bandpass filtering), and finally, the waveform curve varying with time is drawn, as shown in fig. 3, where the abscissa indicates time and the ordinate indicates signal intensity. Dividing the first filtering signal according to a preset signal amplitude threshold value to obtain a baseline signal and a characteristic signal; wherein the baseline signal, which may be represented as a waveform curve recorded by the placement of the recording electrode within the heart chamber during the time when no signal is generated by the heart cells, is typically represented as a segment of a curve with an abscissa varying with time and an ordinate of 0 or close to 0 (the fluctuation range, the height of the fluctuation depends on the level of the whole signal system, and is typically closer to 0, the better), such as the S-based part in fig. 3; the preset signal amplitude threshold is used for dividing the baseline signal and the characteristic signal, is limited by the overall level of the existing signal system, is usually set to be [ -30 mu V, +30 mu V ], can be obtained by manually measuring the peak-to-peak value of a section of the baseline signal in advance, and can reflect the signal amplitude level of the baseline signal. In addition to the baseline signal, the portion of the curve where the signal amplitude exceeds the preset signal amplitude threshold and eventually falls back within the preset signal amplitude threshold may be divided into characteristic signals, which are represented as a period of time in abscissa, where the signal intensity exceeds the plateau baseline signal amplitude level (signal start) to the end signal intensity falls back to the plateau baseline signal amplitude level (signal end), as shown in the portion S1-S8 in fig. 3, and this portion is mainly the potential signal generated by the biological cell. As can be seen from fig. 3, the first filtered signal may be divided into a plurality of baseline signals and a plurality of characteristic signals, each of which corresponds to a different time period, and the baseline signals and the characteristic signals may be marked during signal processing based on time period tags, which may be generated by broadband bandpass filtering.
S202, carrying out band-pass filtering on the characteristic signals in a first preset frequency band to obtain second filtering signals;
s203, carrying out band-pass filtering of a second preset frequency band on the characteristic signal to obtain a third filtering signal;
s204, carrying out band-pass filtering of a third preset frequency band on the characteristic signal to obtain a fourth filtering signal;
the first preset frequency band is higher than the second preset frequency band, the second preset frequency band is higher than the third preset frequency band, and the preset frequency band can be determined according to frequency characteristics of different signals in the electric signals in the cavity, for example, the first preset frequency band is 300-490 Hz; the second preset frequency band is 150 Hz-250 Hz; the third preset frequency band is 10 Hz-60 Hz. Based on the above-mentioned filtering parameter setting, the high-frequency characteristic of the intra-cavity electric signal can be highlighted by the first preset frequency band-pass filtering, for example, the His beam signal and the pulmonary vein electric signal can be distinguished from the intra-cavity electric signal; the intermediate frequency characteristics of the electrical signals in the cavity can be highlighted through band-pass filtering of the second preset frequency band, for example, near-field signals can be distinguished from the electrical signals in the cavity; the low-frequency characteristic of the electric signal in the cavity can be highlighted through the third preset frequency band-pass filtering, for example, far-field signals can be distinguished from the electric signal in the cavity; it should be noted that, the execution order of S202, S203, and S204 does not affect the implementation of this embodiment, and they may be executed simultaneously or may be executed in a certain order. According to the steps, the characteristic signals in the intra-cavity electric signals are considered to be potential signals mainly generated by biological cells, so that specific filtering is conducted on the characteristic signals, the purpose of the specific filtering is to carefully distinguish the characteristic signals, the problem of signal distortion caused by mismatching of the signals and filtering parameters is avoided, and more accurate data reference can be provided for clinical judgment.
On the basis of the above embodiment, the signal synthesis is performed on the filtered signals of different frequency bands and the first filtered signal by using a preset algorithm, so as to obtain one implementation manner of the synthesized signal, which may include the following steps:
s301, carrying out signal synthesis on the baseline signal, the second filtering signal, the third filtering signal and the fourth filtering signal by using a preset algorithm to obtain a synthesized signal;
in S301, specifically, the preset algorithm may be used to identify a filtered signal with the largest amplitude from the second filtered signal, the third filtered signal and the fourth filtered signal, and perform signal synthesis based on the filtered signal with the largest amplitude and the baseline signal, so that the characteristics of the synthesized signal may be more prominent. In this step, the baseline signal, the second filtering signal, the third filtering signal and the fourth filtering signal are subjected to signal synthesis by using a preset algorithm to obtain a synthesized signal, so that a specific frequency band signal, a near-field signal and a far-field signal can be clearly divided.
As shown in fig. 4, on the basis of the above embodiment, another method for processing an intra-cavity electrical signal according to an embodiment of the present application includes:
s401, acquiring an intracavity electric signal to be processed;
s402, carrying out broadband bandpass filtering on the to-be-processed intra-cavity electric signal to obtain a first filtering signal;
s403, dividing the first filtering signal according to a preset signal amplitude threshold value to obtain a baseline signal and a characteristic signal;
s404, carrying out band-pass filtering on the characteristic signals in a first preset frequency band to obtain second filtering signals;
s405, carrying out band-pass filtering of a second preset frequency band on the characteristic signal to obtain a third filtering signal;
s406, carrying out third preset frequency band-pass filtering on the characteristic signals to obtain fourth filtering signals;
for details of specific implementation of S401 and S402, reference may be made to S101 and S102 described above; for details of the implementation of S403 to S406, reference may be made to S201 to S204 described above.
S407, performing signal synthesis on the baseline signal, the second filtering signal, the third filtering signal and the fourth filtering signal by using a preset algorithm to obtain a synthesized signal.
In S407, the specific implementation details thereof may be the parameters of S301 described above. One implementation manner of the step may further include the following steps: selecting a signal with the largest peak value in each time period from the second filtering signal, the third filtering signal and the fourth filtering signal according to the time period of the characteristic signal to obtain a screening signal; and according to the screening signal and the baseline signal, carrying out signal synthesis according to a time line to obtain a synthesized signal.
Specifically, taking the waveform curve of the first filtered signal shown in fig. 3 as an example, the characteristic signal is subjected to second preset frequency band bandpass filtering to obtain a third filtered signal, as shown in S1 in fig. 5 In (a) To S8 In (a) A portion; the characteristic signal is subjected to third preset frequency band-pass filtering to obtain a fourth filtering signal, such as S1 in FIG. 6 Low and low To S8 Low and low A portion; correspondingly, the characteristic signal is subjected to band-pass filtering of a first preset frequency band to obtain a second filtered signal which can be recorded as S1 High height To S8 High height The method comprises the steps of carrying out a first treatment on the surface of the Taking the characteristic signal S1 as an example, a second filtered signal S1 obtained by filtering the characteristic signal S1 according to the time period of the characteristic signal S1 High height Third filtered signal S1 In (a) And a fourth filtered signal S1 Low and low And selecting the signal with the maximum peak value in the time period to obtain the screening signal in the time period. Similarly, the screening signals of the time periods of the characteristic signals S2 to S8 can be obtained, and the screening signals are finally obtained after the screening of all the filtering signals is completed according to the time period of the characteristic signals. The specific frequency band signals (such as His beam signals and pulmonary vein signals) in the intra-cavity electric signals, the near-field signals and the far-field signals are suitable for different filtering parameters, and the signals with the most outstanding characteristics in each time period can be screened out from the second filtering signals, the third filtering signals and the fourth filtering signals based on the screening process with the maximum peak-to-peak value. And finally, synthesizing according to the screening signal and the baseline signal and a time line to obtain a synthesized signal, wherein the synthesized signal obtained finally after the screening step can divide the specific frequency band signal, the near-field signal and the far-field signal more clearly.
In this embodiment, the first filtering signal is divided to obtain the baseline signal and the characteristic signal, and different preset frequency bands of band-pass filtering is performed on the characteristic signal, so that the potential signals generated by the biological cells can be finely distinguished, the signal distortion problem caused by unmatched signal and filtering parameters can be more effectively avoided, and more accurate data reference is provided for clinical judgment. And according to the second filtering signal, the third filtering signal, the fourth filtering signal and the baseline signal, a preset algorithm is utilized to synthesize signals according to a time line to obtain synthesized signals, and the signals in a specific frequency band, the near-field signals and the far-field signals can be clearly divided.
As shown in fig. 7, in another embodiment of the present application, there is also provided a processing system for an intra-cavity electrical signal, including:
a signal acquisition module 10 for acquiring an intra-cavity electrical signal to be processed;
the first processing module 11 is configured to perform broadband bandpass filtering on the electrical signal in the cavity to be processed, so as to obtain a first filtered signal;
the second processing module 12 is configured to perform band-pass filtering on the first filtered signal by using different preset frequency bands to obtain filtered signals in different frequency bands;
and the signal synthesis module 13 is configured to perform signal synthesis on the filtered signals in different frequency bands and the first filtered signal by using a preset algorithm to obtain a synthesized signal.
Preferably, in the system for processing an electrical signal in a cavity, the second processing module 12 specifically includes:
the signal dividing sub-module is used for dividing the first filtering signal according to a preset signal amplitude threshold value to obtain a baseline signal and a characteristic signal;
the first filtering sub-module is used for carrying out band-pass filtering on the characteristic signals in a first preset frequency band to obtain second filtering signals;
the second filtering sub-module is used for carrying out band-pass filtering on the characteristic signals in a second preset frequency band to obtain third filtering signals;
the third filtering sub-module is used for carrying out band-pass filtering on the characteristic signals in a third preset frequency band to obtain fourth filtering signals;
the first preset frequency band is higher than the second preset frequency band, and the second preset frequency band is higher than the third preset frequency band.
Preferably, in the processing system for an intra-cavity electrical signal, the signal synthesis module 13 is specifically configured to, when performing signal synthesis on the filtered signals of different frequency bands and the first filtered signal by using a preset algorithm to obtain a synthesized signal:
and carrying out signal synthesis on the baseline signal, the second filtering signal, the third filtering signal and the fourth filtering signal by using a preset algorithm to obtain a synthesized signal.
As shown in fig. 8, in another embodiment of the present application, there is also provided a processing terminal of an intra-cavity electrical signal, including: a storage medium 20 and a processor 21;
computer-executable instructions are stored within the storage medium 20;
the processor 21 executes computer-executable instructions stored on the storage medium 20 to implement any of the methods of processing an intra-cavity electrical signal described above.
Wherein the processor 21 may comprise one or more processing cores. The processor 21 performs various functions of the present application and processes data by executing or executing instructions, programs, code sets, or instruction sets stored in the storage medium 20, calling data stored in the storage medium 20. The processor 21 may be at least one of an application specific integrated circuit, a digital signal processor, a digital signal processing device, a programmable logic device, a field programmable gate array, a central processing unit, a controller, a microcontroller, and a microprocessor. It will be appreciated that the electronics for implementing the functions of the processor 21 described above may also be other for different devices.
Wherein the storage medium 20 may be used to store instructions, programs, code sets, or instruction sets. The storage medium 20 may include a storage program area and a storage data area, wherein the storage program area may store instructions for implementing an operating system, instructions for at least one function, instructions for implementing a method of processing an electrical signal in any of the above-described chambers, and the like; the memory data area may store data or the like involved in any of the above-described methods of processing the intra-cavity electrical signals.
In another embodiment of the present application, there is also provided a computer-readable storage medium having stored therein computer-executable instructions for implementing any one of the methods for processing an intra-cavity electrical signal described above when executed by a processor.
The computer readable storage medium may be various media capable of storing program codes, such as a usb disk, a removable hard disk, a read-only memory, a random access memory, or an optical disk.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. 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 application. Thus, the present application 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 (5)

1. A method of processing an electrical signal in a cavity, comprising:
acquiring an intracavity electric signal to be processed;
performing broadband bandpass filtering on the to-be-processed intra-cavity electric signal to obtain a first filtering signal;
carrying out band-pass filtering on the first filtering signal by adopting different preset frequency bands to obtain filtering signals of different frequency bands;
carrying out signal synthesis on the filtered signals of different frequency bands and the first filtered signal by using a preset algorithm to obtain a synthesized signal;
the step of carrying out band-pass filtering on the first filtering signal by adopting different preset frequency bands to obtain filtering signals of different frequency bands comprises the following steps:
dividing the first filtering signal according to a preset signal amplitude threshold value to obtain a baseline signal and a characteristic signal;
carrying out band-pass filtering on the characteristic signals in a first preset frequency band to obtain second filtering signals;
carrying out band-pass filtering on the characteristic signals in a second preset frequency band to obtain third filtering signals;
carrying out band-pass filtering on the characteristic signal in a third preset frequency band to obtain a fourth filtering signal;
the first preset frequency band is higher than the second preset frequency band, and the second preset frequency band is higher than the third preset frequency band;
the step of synthesizing the filtered signals of different frequency bands and the first filtered signal by using a preset algorithm to obtain a synthesized signal includes:
performing signal synthesis on the baseline signal, the second filtering signal, the third filtering signal and the fourth filtering signal by using a preset algorithm to obtain a synthesized signal;
the first preset frequency band is 300 Hz-490 Hz;
the second preset frequency band is 150 Hz-250 Hz;
the third preset frequency band is 10 Hz-60 Hz.
2. The method of claim 1, wherein the synthesizing the baseline signal, the second filtered signal, the third filtered signal, and the fourth filtered signal using a predetermined algorithm to obtain a synthesized signal comprises:
selecting a signal with the largest peak value in each time period from the second filtering signal, the third filtering signal and the fourth filtering signal according to the time period of the characteristic signal to obtain a screening signal;
and according to the screening signal and the baseline signal, carrying out signal synthesis according to a time line to obtain a synthesized signal.
3. A system for processing an electrical signal within a cavity, comprising:
the signal acquisition module is used for acquiring an intracavity electric signal to be processed;
the first processing module is used for carrying out broadband bandpass filtering on the electric signals in the cavity to be processed to obtain first filtering signals;
the second processing module is used for carrying out band-pass filtering on the first filtering signal by adopting different preset frequency bands to obtain filtering signals of different frequency bands;
the signal synthesis module is used for carrying out signal synthesis on the filtered signals of the different frequency bands and the first filtered signal by using a preset algorithm to obtain a synthesized signal;
wherein, the second processing module specifically includes:
the signal dividing sub-module is used for dividing the first filtering signal according to a preset signal amplitude threshold value to obtain a baseline signal and a characteristic signal;
the first filtering sub-module is used for carrying out band-pass filtering on the characteristic signals in a first preset frequency band to obtain second filtering signals;
the second filtering sub-module is used for carrying out band-pass filtering on the characteristic signals in a second preset frequency band to obtain third filtering signals;
the third filtering sub-module is used for carrying out band-pass filtering on the characteristic signals in a third preset frequency band to obtain fourth filtering signals;
the first preset frequency band is higher than the second preset frequency band, and the second preset frequency band is higher than the third preset frequency band;
the signal synthesis module is specifically configured to, when performing signal synthesis on the filtered signals in different frequency bands and the first filtered signal by using a preset algorithm to obtain a synthesized signal:
performing signal synthesis on the baseline signal, the second filtering signal, the third filtering signal and the fourth filtering signal by using a preset algorithm to obtain a synthesized signal;
the first preset frequency band is 300 Hz-490 Hz;
the second preset frequency band is 150 Hz-250 Hz;
the third preset frequency band is 10 Hz-60 Hz.
4. A terminal for processing an electrical signal in a cavity, comprising: a storage medium and a processor;
computer-executable instructions are stored in the storage medium;
the processor executes computer-executable instructions stored on the storage medium to implement the method of any one of claims 1 to 2.
5. A computer readable storage medium having stored therein computer executable instructions which when executed by a processor are adapted to carry out the method of any one of claims 1 to 2.
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