CN112402010A - Control method, device and system of ablation pulse, electronic equipment and storage medium - Google Patents
Control method, device and system of ablation pulse, electronic equipment and storage medium Download PDFInfo
- Publication number
- CN112402010A CN112402010A CN202011270557.9A CN202011270557A CN112402010A CN 112402010 A CN112402010 A CN 112402010A CN 202011270557 A CN202011270557 A CN 202011270557A CN 112402010 A CN112402010 A CN 112402010A
- Authority
- CN
- China
- Prior art keywords
- electrocardiosignals
- absolute refractory
- refractory period
- real
- ablation
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B18/00—Surgical instruments, devices or methods for transferring non-mechanical forms of energy to or from the body
- A61B18/04—Surgical instruments, devices or methods for transferring non-mechanical forms of energy to or from the body by heating
- A61B18/12—Surgical instruments, devices or methods for transferring non-mechanical forms of energy to or from the body by heating by passing a current through the tissue to be heated, e.g. high-frequency current
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B18/00—Surgical instruments, devices or methods for transferring non-mechanical forms of energy to or from the body
- A61B18/04—Surgical instruments, devices or methods for transferring non-mechanical forms of energy to or from the body by heating
- A61B18/12—Surgical instruments, devices or methods for transferring non-mechanical forms of energy to or from the body by heating by passing a current through the tissue to be heated, e.g. high-frequency current
- A61B18/14—Probes or electrodes therefor
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7203—Signal processing specially adapted for physiological signals or for diagnostic purposes for noise prevention, reduction or removal
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B18/00—Surgical instruments, devices or methods for transferring non-mechanical forms of energy to or from the body
- A61B2018/00315—Surgical instruments, devices or methods for transferring non-mechanical forms of energy to or from the body for treatment of particular body parts
- A61B2018/00345—Vascular system
- A61B2018/00351—Heart
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B18/00—Surgical instruments, devices or methods for transferring non-mechanical forms of energy to or from the body
- A61B2018/00571—Surgical instruments, devices or methods for transferring non-mechanical forms of energy to or from the body for achieving a particular surgical effect
- A61B2018/00595—Cauterization
Abstract
The invention discloses a control method, a control device and a control system for ablation pulse, electronic equipment and a storage medium. The method comprises the following steps: analyzing a wave band corresponding to an absolute refractory period in a historical electrocardiosignal of a target object to determine first characteristic information of a rising segment in the wave band corresponding to the absolute refractory period; identifying the absolute refractory period of the real-time electrocardiosignals of the target object according to the first characteristic information; applying an ablation pulse to the target object if the absolute refractory period is identified. Thus, the accuracy of absolute refractory period identification can be improved.
Description
Technical Field
The invention relates to the technical field of medical imaging, in particular to a control method, a control device and a control system of ablation pulses, electronic equipment and a storage medium.
Background
Pulse ablation is a new biological tissue ablation device, and can be applied to clinical diseases such as tumor treatment, cardiac tissue ablation, proliferative tissue ablation and the like. However, during the pulse ablation process, the ablation pulse will affect the repolarization process of the cardiac muscle cells, and thus the normal physiological activity of the heart. If the ablation pulse is applied to the heart in the absolute refractory period of the heart pulse, the influence on the normal physiological activity of the heart is minimized. Therefore, how to accurately identify the absolute refractory period is crucial.
Disclosure of Invention
The invention provides a control method, a control device and a control system for ablation pulses, electronic equipment and a storage medium, which aim to overcome the defect that a disturbance wave generated by applying the ablation pulses is easily identified as an absolute refractory period by mistake in the related technology.
Specifically, the invention is realized by the following technical scheme:
in a first aspect, a method of controlling an ablation pulse is provided, comprising:
analyzing a wave band corresponding to an absolute refractory period in a historical electrocardiosignal of a target object to determine first characteristic information of a rising segment in the wave band corresponding to the absolute refractory period;
identifying the absolute refractory period of the real-time electrocardiosignals of the target object according to the first characteristic information;
applying an ablation pulse to the target object if the absolute refractory period is identified.
Optionally, analyzing a band of an absolute refractory period in the historical electrocardiographic signal of the target object to determine first feature information of a rising segment in the band of the absolute refractory period, including:
inputting the historical electrocardiosignals into a neural network model, wherein the neural network model is trained and finished by adopting a sample set containing a plurality of sections of electrocardiosignals with different sources, and each section of electrocardiosignal is marked with characteristic identification information of a rising section in a wave band of an absolute refractory period;
and performing feature extraction on the historical electrocardiosignals through the neural network model, and determining the extracted features as the first feature information.
Optionally, analyzing a band of an absolute refractory period in the historical electrocardiographic signal of the target object to determine first feature information of a rising segment in the band of the absolute refractory period, including:
determining the rising curvature and/or rising rate of a rising segment of a wave band of an absolute refractory period in the historical electrocardiosignals;
and using the rising curvature and/or the rising rate as the first characteristic information.
Optionally, identifying an absolute refractory period of the real-time cardiac electrical signal of the target object according to the first feature information includes:
determining second characteristic information of each wave band of the real-time electrocardiosignals;
screening out a target wave band of which the second characteristic information meets a preset condition from all the wave bands;
an absolute refractory period for the target band is identified.
Optionally, identifying an absolute refractory period of the real-time cardiac electrical signal of the target object according to the first feature information includes:
filtering the real-time electrocardiosignals to filter interference signals in the real-time electrocardiosignals;
and identifying the absolute refractory period of the filtered real-time electrocardiosignals.
Optionally, the filtering processing of the real-time cardiac signal includes:
filtering the real-time electrocardiosignals in a first frequency band;
amplifying the real-time electrocardiosignals subjected to the filtering processing of the first frequency band;
and carrying out filtering processing of the first frequency band on the amplified real-time electrocardiosignals.
In a second aspect, there is provided a control device for ablation pulsing comprising:
the analysis module is used for analyzing a wave band corresponding to an absolute refractory period in the historical electrocardiosignals of the target object so as to determine first characteristic information of a rising segment in the wave band corresponding to the absolute refractory period;
the identification module is used for identifying the absolute refractory period of the real-time electrocardiosignals of the target object according to the first characteristic information;
a control module for applying an ablation pulse to the target object if the absolute refractory period is identified.
Optionally, the analysis module comprises:
the input unit is used for inputting the historical electrocardiosignals into a neural network model, wherein the neural network model is trained and finished by adopting a sample set containing a plurality of sections of electrocardiosignals with different sources, and each section of electrocardiosignal is marked with characteristic identification information of a rising section in a wave band corresponding to an absolute refractory period;
and the determining unit is used for extracting the characteristics of the historical electrocardiosignals through the neural network model and determining the extracted characteristics as the first characteristic information.
Optionally, the analysis module comprises:
and the determining unit is used for determining the rising curvature and/or the rising rate of a rising segment of a wave band corresponding to the absolute refractory period in the historical electrocardiosignals, and taking the rising curvature and/or the rising rate as the first characteristic information.
Optionally, the identification module comprises:
the determining unit is used for determining second characteristic information of each wave band of the real-time electrocardiosignals;
the screening unit is used for screening out the target wave band of which the second characteristic information meets the preset conditions from all the wave bands;
and the identification unit is used for identifying the absolute refractory period of the target waveband.
Optionally, the identification module comprises:
the filtering unit is used for filtering the real-time electrocardiosignals so as to filter interference signals in the real-time electrocardiosignals;
and the identification unit is used for identifying the absolute refractory period of the real-time electrocardiosignals subjected to filtering processing.
Optionally, the filter unit is specifically configured to:
filtering the real-time electrocardiosignals in a first frequency band;
amplifying the real-time electrocardiosignals subjected to the filtering processing of the first frequency band;
and carrying out filtering processing of the first frequency band on the amplified real-time electrocardiosignals.
In a third aspect, a control system for ablation pulsing is provided, comprising:
the signal acquisition device is configured to acquire historical electrocardiosignals and real-time electrocardiosignals of a target object;
a control device of the ablation pulse configured to implement the control method of the ablation pulse described in any one of the above.
In a fourth aspect, an electronic device is provided, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the method of any one of the above when executing the computer program.
In a fifth aspect, a computer-readable storage medium is provided, on which a computer program is stored, which computer program, when being executed by a processor, carries out the steps of the method of any of the above.
The technical scheme provided by the embodiment of the invention can have the following beneficial effects:
in the embodiment of the invention, the absolute refractory period of the electrocardiosignal is identified through the characteristic information of the ascending section, so that a disturbing wave generated by applying an ablation pulse can be prevented from being identified as an R wave, and the ablation pulse is prevented from being applied to a patient in the non-absolute refractory period. In addition, the absolute refractory period of the electrocardiosignal is identified through the characteristic information of the ascending segment of the electrocardiosignal, whether the electrocardiosignal is in the absolute refractory period or not can be identified before the electrocardiosignal reaches the R wave peak, the pulse is applied to the R wave peak as far as possible, and the influence of the ablation pulse on the normal physiological activity of the heart can be reduced as far as possible.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention, as claimed.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.
FIG. 1a illustrates a band of cardiac electrical signals according to an exemplary embodiment of the present invention;
FIG. 1b illustrates another band of cardiac electrical signals according to an exemplary embodiment of the present invention;
FIG. 2 is a flow chart illustrating a method of controlling ablation pulses in accordance with an exemplary embodiment of the present invention;
FIG. 3 is a block schematic diagram of a control system for ablation pulsing in accordance with an exemplary embodiment of the present invention;
fig. 4 is a schematic structural diagram of an electronic device according to an exemplary embodiment of the present invention.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present invention. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the invention, as detailed in the appended claims.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in this specification and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.
It is to be understood that although the terms first, second, third, etc. may be used herein to describe various information, these information should not be limited to these terms. These terms are only used to distinguish one type of information from another. For example, first information may also be referred to as second information, and similarly, second information may also be referred to as first information, without departing from the scope of the present invention. The word "if" as used herein may be interpreted as "at … …" or "when … …" or "in response to a determination", depending on the context.
Pulse ablation is a new biological tissue ablation device, and can be applied to clinical diseases such as tumor treatment, cardiac tissue ablation, proliferative tissue ablation and the like. However, during the pulse ablation process, the ablation pulse will affect the normal repolarization process of the patient's cardiac myocytes, and thus the normal physiological activity of the heart. If the ablation pulse is applied to the heart in the absolute refractory period of the heart pulse, the normal physiological activity of the heart is less influenced. Therefore, how to accurately identify the absolute refractory period is crucial.
Referring to fig. 1a, a segment of a wave band of an electrocardiographic signal is shown, in the related art, generally, the electrocardiographic signal of a patient acquired in real time is analyzed, a peak of an R wave of the electrocardiographic signal is identified to determine whether the electrocardiographic signal is in an absolute refractory period, and if the peak of the R wave is identified, the electrocardiographic signal is determined to be in the absolute refractory period currently, and a pulse ablation device is triggered to apply an ablation pulse to the patient.
Referring to fig. 1b, when an ablation pulse is applied to a patient in the absolute refractory period a, a disturbance wave (wave of a disturbed electrocardiographic signal) waveform shown in the section a in the figure appears in the electrocardiographic signal of the patient, and if the absolute refractory period is identified by using the R wave peak, erroneous identification of the disturbance waveform in the section a cannot be excluded.
In view of the above, embodiments of the present invention provide a method for controlling an ablation pulse, which can identify an absolute refractory period before an R-wave peak and can eliminate erroneous identification of a waveform in a section a.
Fig. 2 is a flow chart illustrating a method of controlling ablation pulses, which may include the steps of:
In this embodiment, the historical electrocardiographic signals of the target object are analyzed to determine the first characteristic information of the absolute refractory period of the target object, and then the first characteristic information is used as a determination condition of the absolute refractory period of the real-time electrocardiographic signals, so that an individualized absolute refractory period identification strategy is realized, the patient difference can be adapted, and secondary correction is not needed. The target object may be, for example, a patient's heart, etc.
The historical electrocardiosignals can be electrocardiosignals acquired by carrying out early-stage examination on a patient, the patient is generally not anesthetized during the early-stage examination, and the patient is kept awake to acquire the historical electrocardiosignals; the historical electrocardiographic signals may also be a small segment of electrocardiographic signals acquired before the ablation pulse is applied for the first time during the ablation treatment of the patient, for example, the historical electrocardiographic signals are acquired after the patient is anesthetized but before the ablation treatment is started.
In one embodiment, the first characteristic information may include, but is not limited to, a rising curvature and/or a rising rate. The rising curvature and/or the rising rate of the rising segment of the wave band of the absolute refractory period in the historical electrocardiosignals can be calculated, and the rising curvature and/or the rising rate can be used as the first characteristic information.
Wherein the rate of rise represents the height of the rise of the rising segment of the waveform in unit time; the rising curvature characterizes the degree of curvature of the rising segment of the waveform. The rising curvature generally already characterizes the band, distinguishing it from other bands. If the rising curvature is combined with other characteristics such as the rising rate as the first characteristic information, the characteristics of the band can be better characterized, and the accuracy of identifying the absolute refractory period can be improved.
In one embodiment, the first characteristic information may be determined by means of a neural network model. Specifically, the historical electrocardiosignals are input into a trained neural network model, feature extraction is carried out on the historical electrocardiosignals through the neural network model, and the extracted features are determined as first feature information.
The neural network model is trained by adopting a sample set of multiple sections of electrocardiosignals with different sources, and each section of electrocardiosignal is labeled with characteristic identification information of a rising section in a wave band of an absolute refractory period. The first feature information may include, but is not limited to, a rise rate and a rise curvature of the rising segment, and when the model is trained, the rise rate and the rise curvature are determined as output parameters of the model, and the electrocardiographic signal is used as an input parameter of the model. For each section of electrocardiosignals in the sample set, the electrocardiosignals are input into the neural network model, network parameters of the neural network model are adjusted according to the difference value between the output result of the neural network model and the characteristic identification information, when the loss function of the neural network model meets the preset requirement, the training of the neural network model is completed, and the trained neural network model can be used for extracting the first characteristic information of the historical electrocardiosignals.
And 202, identifying the absolute refractory period of the real-time electrocardiosignals of the target object according to the first characteristic information.
In step 202, real-time identification is performed on the acquired real-time electrocardiographic signals to determine whether the acquired real-time electrocardiographic signals reach an absolute refractory period.
The electrocardiosignals are weak signals with strong nonlinearity, non-stationarity and randomness, and are very easily influenced by environments from inside and outside of a body, such as the movement of four limbs of a human body, respiration, electromagnetic interference in the surrounding environment and the like, in the acquisition process of the electrocardiosignals, so that the directly acquired electrocardiosignals are accompanied by a large amount of noise, and common noise comprises baseline drift, power frequency interference, electromyographic interference and motion artifacts. Before the absolute refractory period of the real-time electrocardiosignals is identified, the real-time electrocardiosignals can be preprocessed to determine the effective electrocardiosignal wave band, and then the absolute refractory period of the effective electrocardiosignal wave band is identified.
In one embodiment, the pre-processing of the real-time cardiac electrical signal may include: and determining second characteristic information of each wave band of the real-time electrocardiosignals, and screening out a target wave band of which the second characteristic information meets preset conditions from each wave band. The target wave band of which the second characteristic information meets the preset condition is an effective electrocardiosignal wave band, and can be identified. The target wave band of the second characteristic information which does not meet the preset condition is an electrocardiosignal wave band with serious interference, and the electrocardiosignal wave band is not identified.
The parameters included in the second characteristic information may be the same as or different from the parameters included in the first characteristic information. For example, the parameter of the first feature information and the parameter of the second feature information each include: the rising rate, the duration of continuous wave peaks, etc.; or, the parameters of the first feature information include: the parameters of the second characteristic information include: rate of rise, duration of continuous peaks. The continuous peak duration represents the duration of the current detection point (a point on the wave band) from the last peak. If the duration falls into the preset duration range, the band is indicated as an effective band, and whether the band is a band corresponding to the absolute refractory period or not needs to be identified; if the duration is not within the preset duration range, the band is an invalid band, and whether the band is a band corresponding to the absolute refractory period or not does not need to be identified. The preset range corresponding to each parameter included in the second feature information may be determined empirically.
Similar to the first feature information, the second feature information may be determined through algorithm operation, or may be extracted through a neural network model, and a specific implementation process is similar to the extraction of the first feature information, and is not described herein again.
In one embodiment, the preprocessing of the real-time cardiac signal may be a filtering process of the real-time cardiac signal to filter out interference signals in the real-time cardiac signal. Specifically, the real-time electrocardiographic signals may be filtered in a first frequency band, then the real-time electrocardiographic signals filtered in the first frequency band are amplified, and finally the amplified real-time electrocardiographic signals are filtered in a second frequency band.
The electrocardiosignal is a very weak physiological low-frequency electric signal, the maximum amplitude is usually not more than 5mV, and the signal frequency is between 0.05Hz and 100 Hz.
The ablation pulse is a high-voltage pulse signal with microsecond and nanosecond duration, and as the electrocardio measuring electrode does not leave a human body during the application of the ablation pulse, a considerable secondary ablation pulse signal is transmitted to the electrocardio measuring electrode through nerve transmission or tissue transmission of the human body, so that the electrocardio signal is interfered. In addition, the frequency spectrum of nanosecond pulse can reach MHz level or even GHz level, and the frequency spectrum of conventional microsecond pulse can reach MHz level, so that the device has considerable penetrating power and space conduction capability, and further interferes the measured electrocardiosignals. In order to inhibit the interference of the ablation pulse or the secondary signal of the ablation pulse generated after the ablation pulse is transmitted on the electrocardiosignal and influence the accuracy of absolute refractory period identification, primary filtering and secondary filtering are designed.
The purpose of the first-stage filtering is to directly suppress interference signals generated by ablation pulses conducted by a human body, the signals are greatly different from normal electrocardiosignals in frequency, peak value and rising rate, the interference signals with the bandwidth of KHz or MHz can be directly filtered by a filter capacitor matrix without limitation, the filtering processing of a first frequency band is realized, the measurement of the electrocardiosignals is not influenced, and the normal electrocardiosignals (including effective electrocardiosignals and disturbance waves) are effectively extracted.
The secondary filtering mainly aims at solving the problem that high-frequency disturbance signals (100 MHz-5 GHz) are coupled back by direct current power supply module ripples (KHz level) and circuit space, and can be but not limited to directly filtering the high-frequency disturbance signals through a filter circuit to realize filtering processing of a second frequency band. The secondary filtering is a guarantee line of defense provided for reliable operation of the internal system, and is not effective selection or identification filtering of external input signals.
In the event that an absolute refractory period is identified, an ablation pulse is applied to the target object, step 203.
Wherein, the times and the duration of applying the ablation pulse in each absolute refractory period can be set according to the actual requirement.
In the embodiment of the invention, the absolute refractory period of the electrocardiosignal is identified through the characteristic information of the ascending segment of the electrocardiosignal, whether the electrocardiosignal is in the absolute refractory period or not can be identified before the electrocardiosignal reaches the R wave peak, the pulse is applied to the R wave peak as far as possible, and the influence of the ablation pulse on the normal physiological activity of the heart can be reduced as far as possible. In addition, the absolute refractory period of the electrocardiosignal is identified through the characteristic information of the ascending section, so that a disturbing wave (an interval a in fig. 1 b) generated by applying an ablation pulse can be prevented from being identified as an R wave, and the ablation pulse can be prevented from being applied to a patient in the non-absolute refractory period.
Fig. 3 is a block diagram of a control system for ablation pulses according to an exemplary embodiment of the present invention, and the control of the ablation pulses is further described with reference to fig. 3.
Referring to fig. 3, the control system for ablation pulsing may include a signal acquisition device 31, a control device 32 and an ablation pulsing device 33, the control device 32 being electrically connected to the signal acquisition device 31 and the ablation pulsing device 33, respectively.
The signal acquisition device 31 can acquire the electrocardiosignals of the patient in real time and send the acquired electrocardiosignals to the control device 32.
The analysis module 321 of the control device 32 may use a segment of the electrocardiographic signal acquired before the ablation pulse is applied to the patient for the first time in the ablation pulse treatment process of the patient as a historical electrocardiographic signal, and analyze a band of an absolute refractory period in the historical electrocardiographic signal to determine first feature information of an ascending segment in the band of the absolute refractory period.
Determining the first characteristic information corresponding to the absolute refractory period corresponds to determining an individualized absolute refractory period identification strategy for the patient.
The identification module 322 of the control device 32 can identify the absolute refractory period of the real-time cardiac signal collected by the signal collection device 31 according to the first characteristic information.
If an absolute refractory period is identified, the control module 323 of the control device 32 controls the ablation pulse device 33 to apply ablation pulses to the patient.
The control module 323 may be connected to the ablation impulse device 33 via a gated valve (not shown). The design of the gate valve is primarily to allow for effective isolation over electrical connections and high fidelity transmission of signals, and may include, but is not limited to, an optical isolation circuit.
Referring to fig. 1b, after the application of the ablation pulse in the absolute refractory period a, the patient's cardiac signal will appear in the interval a shown in the figure. At which point the absolute refractory period is not identified and the system does not apply an ablation pulse. If the control module identifies the absolute refractory period b of the real-time cardiac electrical signal, the control device 32 controls the ablation impulse device 33 to apply the ablation impulse to the patient again. And repeating the above steps until the application times of the ablation pulse reach a time threshold or the whole duration of the application of the ablation pulse reaches a duration threshold, and stopping the acquisition of the electrocardiosignals.
In another embodiment, the functions of the control device 32 and the ablation impulse device 33 may be integrated into one device. If the function is integrated, the control device 32 automatically applies the ablation pulses to the patient when an absolute refractory period is identified.
The analysis module includes:
the input unit is used for inputting the historical electrocardiosignals into a neural network model, wherein the neural network model is trained and finished by adopting a sample set containing a plurality of sections of electrocardiosignals with different sources, and each section of electrocardiosignal is marked with characteristic identification information of a rising section in a wave band corresponding to an absolute refractory period;
and the determining unit is used for extracting the characteristics of the historical electrocardiosignals through the neural network model and determining the extracted characteristics as the first characteristic information.
Optionally, the analysis module comprises:
and the determining unit is used for determining the rising curvature and/or the rising rate of a rising segment of a wave band corresponding to the absolute refractory period in the historical electrocardiosignals, and taking the rising curvature and/or the rising rate as the first characteristic information.
Optionally, the identification module comprises:
the determining unit is used for determining second characteristic information of each wave band of the real-time electrocardiosignals;
the screening unit is used for screening out the target wave band of which the second characteristic information meets the preset conditions from all the wave bands;
and the identification unit is used for identifying the absolute refractory period of the target waveband.
Optionally, the identification module comprises:
the filtering unit is used for filtering the real-time electrocardiosignals so as to filter interference signals in the real-time electrocardiosignals;
and the identification unit is used for identifying the absolute refractory period of the real-time electrocardiosignals subjected to filtering processing.
Optionally, the filter unit is specifically configured to:
filtering the real-time electrocardiosignals in a first frequency band;
amplifying the real-time electrocardiosignals subjected to the filtering processing of the first frequency band;
and carrying out filtering processing of the first frequency band on the amplified real-time electrocardiosignals.
For the device embodiments, since they substantially correspond to the method embodiments, reference may be made to the partial description of the method embodiments for relevant points. The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the scheme of the invention. One of ordinary skill in the art can understand and implement it without inventive effort.
Fig. 4 is a schematic diagram of an electronic device according to an exemplary embodiment of the present invention, and illustrates a block diagram of an exemplary electronic device 40 suitable for implementing embodiments of the present invention. The electronic device 40 shown in fig. 4 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiment of the present invention.
As shown in FIG. 4, electronic device 40 may take the form of a general purpose computing device, which may be a server device, for example. The components of electronic device 40 may include, but are not limited to: the at least one processor 41, the at least one memory 42, and a bus 43 connecting the various system components (including the memory 42 and the processor 41).
The bus 43 includes a data bus, an address bus, and a control bus.
The memory 42 may include volatile memory, such as Random Access Memory (RAM)421 and/or cache memory 422, and may further include Read Only Memory (ROM) 423.
The processor 41 executes various functional applications and data processing, such as the methods provided by any of the above embodiments, by running a computer program stored in the memory 42.
The electronic device 40 may also communicate with one or more external devices 44 (e.g., keyboard, pointing device, etc.). Such communication may be through an input/output (I/O) interface 45. Also, the model-generated electronic device 40 may also communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the Internet) via a network adapter 46. As shown, the network adapter 46 communicates with the other modules of the model-generated electronic device 40 over a bus 43. It should be understood that although not shown in the figures, other hardware and/or software modules may be used in conjunction with the model-generating electronic device 40, including but not limited to: microcode, device drivers, redundant processors, external disk drive arrays, RAID (disk array) systems, tape drives, and data backup storage systems, etc.
It should be noted that although in the above detailed description several units/modules or sub-units/modules of the electronic device are mentioned, such a division is merely exemplary and not mandatory. Indeed, the features and functionality of two or more of the units/modules described above may be embodied in one unit/module according to embodiments of the invention. Conversely, the features and functions of one unit/module described above may be further divided into embodiments by a plurality of units/modules.
The embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, and the computer program, when executed by a processor, implements the method provided in any of the above embodiments.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (10)
1. A method of controlling an ablation pulse, comprising:
analyzing a wave band corresponding to an absolute refractory period in a historical electrocardiosignal of a target object to determine first characteristic information of a rising segment in the wave band corresponding to the absolute refractory period;
identifying the absolute refractory period of the real-time electrocardiosignals of the target object according to the first characteristic information;
applying an ablation pulse to the target object if the absolute refractory period is identified.
2. The method for controlling ablation impulses as defined in claim 1, wherein analyzing a band of absolute refractory periods in a historical cardiac electrical signal of a target subject to determine first characteristic information of a rising segment of the band of absolute refractory periods comprises:
inputting the historical electrocardiosignals into a neural network model, wherein the neural network model is trained and finished by adopting a sample set containing a plurality of sections of electrocardiosignals with different sources, and each section of electrocardiosignal is marked with characteristic identification information of a rising section in a wave band of an absolute refractory period;
and performing feature extraction on the historical electrocardiosignals through the neural network model, and determining the extracted features as the first feature information.
3. The method for controlling ablation impulses as defined in claim 1, wherein analyzing a band of absolute refractory periods in a historical cardiac electrical signal of a target subject to determine first characteristic information of a rising segment of the band of absolute refractory periods comprises:
determining the rising curvature and/or rising rate of a rising segment of a wave band of an absolute refractory period in the historical electrocardiosignals;
and using the rising curvature and/or the rising rate as the first characteristic information.
4. The method for controlling ablation impulses as defined in claim 1, wherein identifying an absolute refractory period of a real-time cardiac electrical signal of said target object based on said first characteristic information comprises:
determining second characteristic information of each wave band of the real-time electrocardiosignals;
screening out a target wave band of which the second characteristic information meets a preset condition from all the wave bands;
an absolute refractory period for the target band is identified.
5. The method for controlling ablation impulses as defined in claim 1, wherein identifying an absolute refractory period of a real-time cardiac electrical signal of said target object based on said first characteristic information comprises:
filtering the real-time electrocardiosignals to filter interference signals in the real-time electrocardiosignals;
and identifying the absolute refractory period of the filtered real-time electrocardiosignals.
6. The method of controlling ablation impulses as recited in claim 5, wherein filtering said real time cardiac electrical signals comprises:
filtering the real-time electrocardiosignals in a first frequency band;
amplifying the real-time electrocardiosignals subjected to the filtering processing of the first frequency band;
and carrying out filtering processing of the first frequency band on the amplified real-time electrocardiosignals.
7. A control device for ablation pulsing, comprising:
the analysis module is used for analyzing a wave band corresponding to an absolute refractory period in the historical electrocardiosignals of the target object so as to determine first characteristic information of a rising segment in the wave band corresponding to the absolute refractory period;
the identification module is used for identifying the absolute refractory period of the real-time electrocardiosignals of the target object according to the first characteristic information;
a control module for applying an ablation pulse to the target object if the absolute refractory period is identified.
8. A control system for ablation pulsing, comprising:
the signal acquisition device is configured to acquire historical electrocardiosignals and real-time electrocardiosignals of a target object;
control device of ablation pulses configured to implement the steps of the control method of ablation pulses of any of claims 1-6.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the method of any of claims 1 to 6 when executing the computer program.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 6.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011270557.9A CN112402010A (en) | 2020-11-13 | 2020-11-13 | Control method, device and system of ablation pulse, electronic equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011270557.9A CN112402010A (en) | 2020-11-13 | 2020-11-13 | Control method, device and system of ablation pulse, electronic equipment and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112402010A true CN112402010A (en) | 2021-02-26 |
Family
ID=74832353
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011270557.9A Pending CN112402010A (en) | 2020-11-13 | 2020-11-13 | Control method, device and system of ablation pulse, electronic equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112402010A (en) |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6070097A (en) * | 1998-12-30 | 2000-05-30 | General Electric Company | Method for generating a gating signal for cardiac MRI |
| CN107374619A (en) * | 2017-06-20 | 2017-11-24 | 重庆工业职业技术学院 | A kind of R ripples method for quickly identifying |
| CN110693605A (en) * | 2019-09-29 | 2020-01-17 | 四川锦江电子科技有限公司 | High-voltage pulse system for cardiac ablation |
-
2020
- 2020-11-13 CN CN202011270557.9A patent/CN112402010A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6070097A (en) * | 1998-12-30 | 2000-05-30 | General Electric Company | Method for generating a gating signal for cardiac MRI |
| CN107374619A (en) * | 2017-06-20 | 2017-11-24 | 重庆工业职业技术学院 | A kind of R ripples method for quickly identifying |
| CN110693605A (en) * | 2019-09-29 | 2020-01-17 | 四川锦江电子科技有限公司 | High-voltage pulse system for cardiac ablation |
Non-Patent Citations (1)
| Title |
|---|
| 李凡民，牛文堂: "《现代临床心电图学（上）》", 31 March 2019, 吉林科学技术出版社 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| EP1802230B1 (en) | Monitoring physiological activity using partial state space reconstruction | |
| US8433398B2 (en) | Signal analysis system for heart condition determination | |
| US8321005B2 (en) | System for continuous cardiac pathology detection and characterization | |
| JP2021186685A (en) | Reducing noise of intracardiac electrocardiograms using autoencoder, and utilizing and refining intracardiac and body surface electrocardiograms using deep learning training loss functions | |
| US10973465B2 (en) | Pacing signal processing method, system and electrocardiogram monitor | |
| EP2348977A1 (en) | Stimulus artifact removal for neuronal recordings | |
| Turnip et al. | Classification of ECG signal with support vector machine method for arrhythmia detection | |
| Pauk | 419. Different techniques for EMG signal processing. | |
| Sanchez et al. | Evolving into epilepsy: Multiscale electrophysiological analysis and imaging in an animal model | |
| CN112826510A (en) | Electrophysiological signal acquisition system | |
| CN113116359A (en) | Method and system for estimating residual ECG noise level and adaptive noise threshold | |
| Hegde et al. | A review on ECG signal processing and HRV analysis | |
| CN112402010A (en) | Control method, device and system of ablation pulse, electronic equipment and storage medium | |
| Jegan et al. | Low cost and improved performance measures on filtering techniques for ECG signal processing and TCP/IP based monitoring using LabVIEW | |
| Zhao et al. | An early warning of atrial fibrillation based on short-time ECG signals | |
| Kaswan et al. | Intelligent classification of ECG signals using machine learning techniques | |
| US20200237244A1 (en) | Signal replay for selection of optimal detection settings | |
| US20190374123A1 (en) | Predicting atrial fibrillation or stroke using p-wave analysis | |
| WO2021062396A1 (en) | Functional ultrasound imaging for spinal cord stimulation electrode guidance and stimulation parameter optimization | |
| Fedotov | Method for detecting R-waves of an ECG signal based on wavelet decomposition | |
| CN114343666B (en) | Paroxysmal atrial fibrillation scanning method and system for long-range electrocardiographic monitoring, storage medium and electronic equipment | |
| Sivakumar et al. | Analysis of Ventricular Late Potentials using wavelets and FFT spectrum | |
| Srinagesh et al. | ECG wireless telemetry | |
| CN115177272A (en) | System and method for monitoring spinal cord and nerve in intervertebral foramen mirror operation | |
| Malge et al. | ECG Signal Analysis |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20210226 |
|
| RJ01 | Rejection of invention patent application after publication |