Method for predicting long-term recurrence of early ventricular ablation based on intracardiac potential spectrum

Abstract

The invention belongs to the technical field of medical treatment, and provides a method for predicting long-term relapse of early ventricular ablation based on intracardiac potential spectrums.The method comprises the steps that intracardiac bipolar potentials before and after ablation are collected at a successful ablation target; performing fast Fourier transform on the potential signal to obtain a power frequency spectrum of the potential signal; in the 0-200Hz analysis frequency band, calculating the area under the curve of the 50-200Hz high-frequency component as the integral of the high-frequency component, and calculating the ratio of the integral of the high-frequency component to the total integral of the frequency spectrum to obtain the integral ratio of the high-frequency component; the ratio before ablation and after ablation is calculated respectively, the change value of the ratio is calculated and determined through ROC curve analysis, and the change value exceeding a threshold value is used as a critical value for predicting the low recurrence risk after ablation, time-domain signal analysis is innovated into frequency-domain quantitative analysis, an objective and accurate new index is provided for evaluating the ablation injury quality and predicting prognosis, and the risk of low recurrence after ablation is predicted. The device is especially suitable for ventricular arrhythmia of aorta root origin.

Description

Technical Field

[0001] This invention relates to the field of medical technology, and in particular to a method for predicting long-term recurrence of premature ventricular contractions (PVCs) ablation based on intracardiac potential spectrum. Background Technology

[0002] Idiopathic outflow tract premature ventricular contractions (PVCs) are among the most common arrhythmias in clinical practice. For patients with significant symptoms or high PVC burden, catheter ablation is an important radical treatment with a high overall success rate. However, clinical observations have revealed that approximately 4% to 19.4% of patients who undergo successful immediate ablation (i.e., complete disappearance of PVCs during the procedure and inability to be induced again) still experience recurrence of the same morphological PVCs during long-term follow-up. This phenomenon of "immediate success, long-term recurrence" not only affects treatment outcomes and reduces patients' quality of life but also increases the burden and risk of repeat surgery. Therefore, finding intraoperative indicators that can reliably predict the long-term effects of ablation has become a critical issue that urgently needs to be addressed in this field.

[0003] Among various outflow tract premature ventricular contractions (PVCs), those originating from the aortic root (including the left and right coronary sinuses and the subaortic left ventricular outflow tract) have a lower ablation success rate and worse long-term prognosis compared to those originating from the right ventricular outflow tract due to their unique anatomical location. The aortic root has a complex anatomy, with myocardial and fibrous tissues intertwined, which may lead to anisotropic conduction and difficulty in transmural damage of ablation energy. Currently, for the ablation of these PVCs, operators mainly rely on traditional electrophysiological mapping techniques, such as locating the earliest activation point and performing pacing mapping. Although some studies have reported that specific potentials, such as isolated premature potentials or delayed potentials under sinus rhythm, can be recorded at successful target sites in some patients and are considered as a marker of effective ablation, these specific potentials are not universally present (the reported incidence is between 8.3% and 25.5%), and their distribution is not significantly different between recurrent and non-recurrent patients. For most target sites that do not have such clearly defined specific potentials, there is currently a lack of effective methods to objectively evaluate the thoroughness of ablation damage and predict long-term prognosis accordingly.

[0004] When cardiac electrical signals are recorded on the body surface or inside the heart, they are typically presented as time-domain signals. Fourier transform, a classic signal processing technique, can decompose a mixed time-domain signal into frequency-domain components (i.e., the spectrum), thereby revealing hidden frequency characteristics within the signal. In recent years, spectral analysis has been attempted to be applied to cardiac electrophysiological research. For example, some researchers have used this technique to analyze atrial potentials to locate autonomic ganglia or to identify key isthmuses in post-myocardial infarction ventricular tachycardia. These studies suggest that high-frequency components in electrical signals may be related to anisotropic conduction, fragmentation potentials, or localized near-field excitation in tissues.

[0005] Theoretically, the ventricular potential recorded at the aortic root is a fusion of near-field potentials (representing local myocardial excitation) and far-field potentials (representing distant myocardial excitation). Successful ablation should effectively destroy the arrhythmogenic focal points that generate near-field potentials. Long-term recurrence after ablation is likely related to incomplete damage to the myocardium containing the near-field potential. However, in traditional time-domain signals, it is difficult to quantitatively analyze the near-field potential components. Therefore, a new technical method is urgently needed to quantify the impact of the ablation process on the near-field potential, thereby providing objective and accurate intraoperative evidence for assessing ablation efficacy and predicting long-term recurrence.

[0006] In summary, the existing technology has the following drawbacks:

[0007] 1. There is a lack of universal intraoperative indicators to assess the thoroughness of ablation damage, especially for premature ventricular contractions originating from the aortic root without typical specific potentials (such as DPP).

[0008] 2. It is impossible to quantitatively assess the extent of damage to the local arrhythmogenic matrix (near field potential) during the procedure.

[0009] 3. It is difficult to effectively stratify the long-term recurrence risk of patients who have achieved immediate ablation, which may lead to some patients facing the risk of recurrence due to incomplete ablation.

[0010] Therefore, it is necessary to provide a method for predicting the long-term recurrence of premature ventricular contraction ablation based on intracardiac potential spectrum to solve the above-mentioned technical problems. Summary of the Invention

[0011] To address the aforementioned technical problems, this invention provides a method for predicting long-term recurrence of premature ventricular contraction (PVC) ablation based on intracardiac potential spectrum. By innovating intracardiac potential analysis from the time domain to the frequency domain, it creates a quantitative, objective, and mechanistic prognostic predictive index, significantly improving the predictive ability for the long-term effects of ablation of PVCs originating from the aortic root. This provides key technical support for optimizing surgical endpoints and achieving individualized treatment to reduce the risk of recurrence.

[0012] This invention provides a method for predicting long-term recurrence of premature ventricular contraction (PVC) ablation based on intracardiac potential spectrum, comprising the following steps:

[0013] Obtain intracardiac bipolar potentials at the successful ablation target site before and after ablation;

[0014] Frequency domain transformations were performed on the intracardiac bipolar potentials before and after ablation to obtain the corresponding pre-ablation and post-ablation spectra.

[0015] High-frequency components are defined within a preset analysis frequency band, and the area under the curve of the high-frequency components in the pre-ablation spectrum and the post-ablation spectrum are calculated respectively as the high-frequency component integral before ablation and the high-frequency component integral after ablation. The area under the curve of the preset analysis frequency band in the pre-ablation spectrum and the post-ablation spectrum are also calculated respectively as the total spectrum integral before ablation and the total spectrum integral after ablation.

[0016] The high-frequency component integral ratio before ablation is calculated based on the high-frequency component integral before ablation and the total spectrum integral before ablation. The high-frequency component integral ratio after ablation is calculated based on the high-frequency component integral after ablation and the total spectrum integral after ablation. The high-frequency component integral ratio is the ratio of the high-frequency component integral to the corresponding total spectrum integral.

[0017] Calculate the change in the high-frequency component integral ratio before and after ablation, and compare the change with a preset threshold. If the change is less than or equal to the preset threshold, the patient is predicted to have a long-term recurrence risk after ablation.

[0018] Preferably, the preset analysis frequency band is from 0Hz to 200Hz.

[0019] Preferably, the high-frequency component refers to the frequency band component from 50Hz to 200Hz.

[0020] Preferably, the frequency domain transformation is a Fast Fourier Transform.

[0021] Preferably, the intracardiac bipolar potentials are collected under the same cardiac rhythm, and the cardiac rhythm is either sinus rhythm or premature ventricular contraction rhythm.

[0022] Preferably, the preset threshold is determined by: plotting a receiver operating characteristic curve (ROC) of the change value predicting long-term recurrence based on a training set of data containing multiple patients, and determining the optimal critical value based on the curve.

[0023] Preferably, the successful ablation target is located at the root of the aorta.

[0024] Preferably, the local ventricular potential at the successful ablation target does not contain discrete premature potentials before ablation.

[0025] Compared with related technologies, the method for predicting long-term recurrence of premature ventricular contraction ablation based on intracardiac potential spectrum provided by the present invention has the following beneficial effects:

[0026] This invention revolutionizes intracardiac potential analysis from the time domain to the frequency domain, using the change in the integral ratio of high-frequency components of the target potential before and after ablation as a quantitative and objective prognostic indicator. This solves the problems of strong subjectivity in traditional time-domain potential morphology observation relying on the surgeon's experience, especially the difficulty in predicting targets without typical discrete potentials.

[0027] Furthermore, this method improves prediction accuracy, and its effectiveness stems from its direct reflection of the degree of damage to the myocardial lesions that generate near-field potentials. By assessing changes in real time during the procedure, it can provide surgeons with quantitative evidence of whether effective ablation has been achieved, guiding adjustments to surgical strategies. This could potentially enable individualized treatment, significantly improve the long-term success rate of single-ablation of ventricular premature beats originating from the aortic root, and reduce the risk of recurrence. Attached Figure Description

[0028] Figure 1 This is a flowchart illustrating the overall process of patient selection and method implementation in Embodiment 2 of the present invention.

[0029] Figure 2 This is a schematic diagram illustrating an example of the localization and mapping of ablation targets according to the present invention;

[0030] Figure 3 This is a schematic diagram illustrating the Fourier transform process of ventricular potential from the time domain to the frequency domain and the definition of key parameters in this invention.

[0031] Figure 4 This is a schematic diagram illustrating a typical example of target potential and spectral analysis in relapsed and non-relapsed patients according to the present invention.

[0032] Figure 5 The present invention is a receiver operating characteristic (ROC) curve of the key predictive indicator. Detailed Implementation

[0033] The present invention will now be described in further detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and not intended to limit it. Furthermore, it should be noted that, for ease of description, only the parts relevant to the invention are shown in the drawings, not all structures. Moreover, unless otherwise specified, the embodiments and features described herein can be combined with each other.

[0034] It should also be noted that, for ease of description, the accompanying drawings show only the parts relevant to the invention and not all of them. Before discussing exemplary embodiments in more detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although the flowcharts describe the operations (or steps) as sequential processes, many of the operations can be performed in parallel, concurrently, or simultaneously. Furthermore, the order of the operations can be rearranged. The process can be terminated when its operation is completed, but it may also have additional steps not included in the drawings. The process may correspond to a method, function, procedure, subroutine, subprogram, etc.

[0035] Example 1

[0036] A method for predicting long-term recurrence of premature ventricular contraction (PVC) ablation based on intracardiac potential spectrum includes:

[0037] Obtain intracardiac bipolar potentials at the successful ablation target site before and after ablation;

[0038] Frequency domain transformations were performed on the intracardiac bipolar potentials before and after ablation to obtain the corresponding pre-ablation and post-ablation spectra.

[0039] High-frequency components are defined within a preset analysis frequency band, and the area under the curve of the high-frequency components in the pre-ablation spectrum and the post-ablation spectrum are calculated respectively as the high-frequency component integral before ablation and the high-frequency component integral after ablation. The area under the curve of the preset analysis frequency band in the pre-ablation spectrum and the post-ablation spectrum are also calculated respectively as the total spectrum integral before ablation and the total spectrum integral after ablation.

[0040] The high-frequency component integral ratio before ablation is calculated based on the high-frequency component integral before ablation and the total spectrum integral before ablation. The high-frequency component integral ratio after ablation is calculated based on the high-frequency component integral after ablation and the total spectrum integral after ablation. The high-frequency component integral ratio is the ratio of the high-frequency component integral to the corresponding total spectrum integral.

[0041] Calculate the change in the high-frequency component integral ratio before and after ablation, and compare the change with a preset threshold. If the change is less than or equal to the preset threshold, the patient is predicted to have a long-term recurrence risk after ablation.

[0042] The preset analysis frequency band is 0Hz to 200Hz.

[0043] The high-frequency components mentioned above refer to the frequency band components from 50Hz to 200Hz.

[0044] The frequency domain transformation mentioned above is the Fast Fourier Transform.

[0045] The intracardiac bipolar potentials are collected under the same cardiac rhythm, which is either sinus rhythm or premature ventricular contraction rhythm.

[0046] The preset threshold is determined by plotting a receiver operating characteristic curve (ROC) that predicts long-term recurrence based on a training set of data containing multiple patients, and determining the optimal critical value based on the curve.

[0047] The successful ablation target was located at the root of the aorta.

[0048] The local ventricular potential at the successful ablation target did not contain discrete premature potentials before ablation.

[0049] Example 2

[0050] Please refer to the following: Figures 1 to 5 . Figure 1 This is a flowchart illustrating the overall process of patient selection and method implementation in one embodiment of the present invention. Figure 2 Examples of ablation target localization and mapping are shown. Figure 3 The Fourier transform process of ventricular potential from the time domain to the frequency domain and the definition of key parameters are illustrated. Figure 4 This presents a typical example of target potentials and their spectral analysis in relapsed and non-relapsed patients. Figure 5 The receiver operating characteristic (ROC) curve for the key predictive indicator.

[0051] S101: Patient selection and preoperative preparation.

[0052] like Figure 1 As shown, patients meeting the criteria were first screened. This study was a retrospective analysis and included 56 patients with idiopathic ventricular arrhythmias originating from the aortic root who underwent catheter ablation between August 2011 and January 2017 and achieved immediate surgical success. All patients signed informed consent forms before the procedure. The main inclusion criteria included: (1) symptomatic, drug-resistant premature ventricular contractions or non-sustained ventricular tachycardia; (2) 24-hour Holter monitoring before the procedure showed that the premature ventricular contraction load exceeded 10% of the total number of heartbeats and was monomorphic; (3) ECG and intracardiac electrophysiological mapping clearly indicated that the ventricular arrhythmia originated from the aortic root (including the left coronary sinus, right coronary sinus, the junction of the left and right coronary sinuses, and the left ventricular outflow tract below the aortic valve); (4) immediate success of catheter ablation (the ventricular arrhythmia disappeared after ablation and could not be induced again by intravenous infusion of isoproterenol). Exclusion criteria included concomitant organic heart disease, unclear ablation target, need for ablation of multiple sites, postoperative premature ventricular contraction morphology changes, and lack of follow-up data. All patients underwent preoperative transthoracic echocardiography to confirm a left ventricular ejection fraction >50% and no cardiac structural abnormalities.

[0053] S102: Electrophysiological examination and three-dimensional mapping.

[0054] like Figure 2 As shown in A to E, all procedures were performed under the guidance of a three-dimensional electroanatomical mapping system (such as CARTO3, Biosense Webster). Patients discontinued antiarrhythmic drugs for more than 5 half-lives before the procedure. A cold saline perfusion ablation catheter (such as Navi-StarThermoCool) was inserted retrogradely into the aortic root via the right femoral artery to construct a three-dimensional anatomical model of the aortic root. First, activation mapping was performed in the right ventricular outflow tract. If the ideal target point was not found, the aortic sinus and subaortic valve region were mapped. For mapping the subaortic valve region, the retrograde method was used to enter the left ventricle through the aortic valve or the antegrade method via the interatrial septum. The ideal target point should meet the following criteria: (1) Activation mapping shows the earliest activation of the local ventricular potential, preceding the QRS wave origin on the body surface (e.g., Figure 2 (1) The premature ventricular contraction (PVC) occurs 38ms earlier than expected; (2) The unipolar electrogram shows a QS pattern; (3) The morphology of the 12-lead QRS wave generated by pacing mapping at the target site is highly matched with the morphology of clinical premature ventricular contractions (≥11 / 12 lead matching, such as...). Figure 2 (As shown in E). At some ideal target sites, isolated premature potentials that precede the local ventricular potential and are separated from the isoelectric line can be recorded.

[0055] S103: Successful target ablation and intracardiac potential acquisition.

[0056] After confirming the ideal target site and ruling out catheter proximity to the coronary ostium ( Figure 2 Following the risk assessment shown in Figure A, radiofrequency ablation is performed. Before ablation, aortic root angiography or catheter perfusion system imaging is used to reconfirm that the distance between the ablation catheter tip and the openings of the left and right coronary arteries is greater than 5 mm to ensure surgical safety. A temperature-controlled mode is used for ablation, with power controlled at 25-35 watts. The ablation endpoint is the complete disappearance of clinical premature ventricular contractions (PVCs) within 25 seconds of the start of the discharge. If the endpoint is not reached, the position is adjusted appropriately and ablation is repeated. If the endpoint is reached, a consolidation discharge is continued for 60-120 seconds. Crucially, intracardiac bipolar potentials are acquired before and after the effective discharge (defined as successful ablation) that leads to the complete disappearance of clinical PVCs. These potentials are used for spectral analysis.

[0057] In this embodiment, we chose to acquire signals under sinus rhythm to ensure the highest comparability of potential morphology and frequency components before and after ablation, avoiding deviations introduced by different heart rhythms. Specifically:

[0058] 1. Pre-ablation potentials: At the instant before the start of ablation, under sinus rhythm, at least three bipolar ventricular potentials at the successful target site are stably recorded. To ensure signal quality, the recorded potentials must be stable, with a flat baseline and no interference.

[0059] 2. Post-ablation potentials: After the ablation process ends and the clinical premature ventricular contractions disappear, under sinus rhythm, ensuring the catheter is stable and not displaced, record at least three bipolar ventricular potentials again at the same target site. Before recording post-ablation potentials, it is necessary to observe and confirm that the sinus rhythm is stable and there are no interferences such as accelerated ventricular rhythms.

[0060] All intracardiac bipolar potential signals were acquired using an electrophysiological recording system (such as BardLabSystemPRO) at a sampling frequency of 1000 Hz and a filtering bandwidth of 30-500 Hz, and stored as digital signals. During signal acquisition, surface electrocardiogram leads (usually leads II and V1) were recorded simultaneously as a time reference.

[0061] S104: Spectrum Analysis and Parameter Calculation.

[0062] Please see Figure 3 This step is the core data processing stage. The digital signals acquired in S103 are exported to professional mathematical calculation software (such as MATLAB) for Fast Fourier Transform.

[0063] 1. Signal Preprocessing and Transformation: A Hanning window was used to extract 256 data points containing the complete ventricular potential waveform and the preceding and following isoelectric lines. After zero-padding to 512 points, a Fast Fourier Transform was performed to transform the time-domain signal (…). Figure 3 The upper part is converted into a frequency domain signal (power spectrum). Figure 3 (Lower section). The Hanning window was chosen to achieve a good balance between frequency resolution and spectral leakage.

[0064] 2. Integral Calculation: Set the analysis frequency band to 0-200Hz. Calculate the total area of ​​the spectral curve within the 0-200Hz range, denoted as the total spectral integral. This frequency band covers the main energy distribution of intracardiac potentials.

[0065] 3. Definition and Integration of High-Frequency Components: The frequency band from 50Hz to 200Hz is defined as the high-frequency component (HFC). The area under the curve within this band is calculated and denoted as the high-frequency component integral (HFCI). The high-frequency component is considered to be related to the proximal excitation and fragmentation potential of local myocardial cells. Simultaneously, the integral of the low-frequency component (LFCI) from 0-50Hz can also be calculated as a reference.

[0066] 4. Calculate the high-frequency component integral ratio (HFCIR): Calculate the HFCIR before and after ablation.

[0067] HFCIR = (HFCI / Total Spectrum Integral) × 100% This yields the pre-ablation HFCIR (HFCIR_pre) and post-ablation HFCIR (HFCIR_post). This ratio reflects the relative proportion of high-frequency components in the overall signal energy.

[0068] 5. Calculate the change (ΔHFCIR):

[0069] ΔHFCIR=HFCIR_pre-HFCIR_post

[0070] This change quantifies the degree of damage to the local high-frequency potential of the target area caused by ablation.

[0071] S105: Prognostic risk prediction.

[0072] The calculated ΔHFCIR value was compared with a preset threshold. This preset threshold was determined based on ROC curve analysis of training set data containing multiple patients. In this study's cohort of 56 patients, ROC curve analysis... Figure 5 The optimal predictive cutoff value for ΔHFCIR was determined to be 1.0%, at which point the sensitivity for predicting long-term recurrence was 84.6%, the specificity was 100%, and the area under the curve (AUC) was as high as 0.975. Statistical analysis was performed using SPSS software, and the Youden index was used to determine the optimal cutoff value.

[0073] Prediction rule: If a patient's ΔHFCIR ≤ 1.0%, the patient is predicted to have a high risk of long-term recurrence after surgery. For such patients, it is recommended to strengthen postoperative follow-up or consider more aggressive ablation strategies (such as appropriately extending the ablation time).

[0074] If a patient's ΔHFCIR > 1.0%, the predicted long-term recurrence risk is low, and the ablation effect may be more durable. This indicates that the ablation caused sufficient damage to the myocardial lesions that generated near-field potentials.

[0075] S106: Clinical validation and follow-up.

[0076] All patients underwent close follow-up post-surgery, including 24-hour Holter monitoring and outpatient follow-up. Follow-up intervals were 3 months, 6 months, and 1 year post-surgery, followed by annual follow-up thereafter. Figure 4 As shown, the top figure represents a case of a non-recurrent patient with ΔHFCIR > 1.0%, where the high-frequency component significantly decreased after ablation. The bottom figure represents a case of a recurrent patient with ΔHFCIR ≤ 1.0%, where the high-frequency component showed no significant change after ablation; this patient indeed relapsed within 24 hours post-procedure. Follow-up results confirmed the accuracy of this predictive method. Among the 17 recurrent patients, 15 relapsed within 24 hours post-procedure, and 2 relapsed within 3 months post-procedure, with ΔHFCIR less than or equal to 1.0% in all cases.

[0077] Example 3

[0078] Prognostic prediction based on intracardiac potential spectrum analysis during premature ventricular contractions

[0079] The main difference between this embodiment and Embodiment 2 lies in the timing of intracardiac potential acquisition, in order to adapt to different surgical situations.

[0080] In step S103, signal acquisition is performed when premature ventricular contractions (PVCs) occur. This approach is suitable for patients who can be stably induced intraoperatively or who have spontaneous PVCs.

[0081] Pre-ablation potential: Before discharge, record the bipolar ventricular potential at the target site during spontaneously or drug-induced (e.g., isoproterenol) clinical premature ventricular contractions. Ensure the recorded premature ventricular contraction morphology matches the clinically targeted premature ventricular contraction.

[0082] Post-ablation potential: After successful ablation and disappearance of clinical premature ventricular contractions (PVCs), PVCs with the same morphology are induced again using the same method (e.g., intravenous infusion of isoproterenol) to ensure catheter stability. The target bipolar potential under this PVC is then recorded. This re-induction is to compare the spectral characteristics before and after ablation under exactly the same cardiac rhythm.

[0083] The subsequent steps S104 (spectral analysis), S105 (prognostic prediction, with the same threshold of 1.0%), and S106 (follow-up) are exactly the same as in Example 2. This approach directly analyzes the lesion electrical activity during arrhythmias and has also been shown to have extremely high predictive value. Studies have shown that the ΔHFCIR calculated in this mode is highly consistent with the value calculated under sinus rhythm and has comparable predictive efficacy.

[0084] In summary, this invention provides a new, objective, and quantitative indicator for predicting the long-term effects of catheter ablation for ventricular premature beats by quantitatively analyzing the relative changes in the high-frequency components (representing near-field potentials) of the local potential at the ablation target before and after ablation. This method overcomes the limitations of traditional methods that rely on operator experience to observe time-domain potential morphology, establishing prognostic judgment based on precise frequency-domain data. This method is particularly suitable for aortic root-originating ventricular arrhythmias where traditional electrophysiological mapping indicators (such as discrete potentials) are atypical, and has significant clinical guiding value. It provides operators with a tool to assess the quality of ablation damage in real time, helping to develop individualized ablation strategies, thereby potentially significantly reducing postoperative recurrence rates.

[0085] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0086] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.

Claims

1. A method for predicting long-term recurrence of premature ventricular contractions (PVCs) ablation based on intracardiac potential spectrum, characterized in that, Includes the following steps: Obtain intracardiac bipolar potentials at the successful ablation target site before and after ablation; Frequency domain transformations were performed on the intracardiac bipolar potentials before and after ablation to obtain the corresponding pre-ablation and post-ablation spectra. High-frequency components are defined within a preset analysis frequency band, and the area under the curve of the high-frequency components in the pre-ablation spectrum and the post-ablation spectrum are calculated respectively as the high-frequency component integral before ablation and the high-frequency component integral after ablation. The area under the curve of the preset analysis frequency band in the pre-ablation spectrum and the post-ablation spectrum are also calculated respectively as the total spectrum integral before ablation and the total spectrum integral after ablation. The high-frequency component integral ratio before ablation is calculated based on the high-frequency component integral before ablation and the total spectrum integral before ablation. The high-frequency component integral ratio after ablation is calculated based on the high-frequency component integral after ablation and the total spectrum integral after ablation. The high-frequency component integral ratio is the ratio of the high-frequency component integral to the corresponding total spectrum integral. Calculate the change in the high-frequency component integral ratio before and after ablation, and compare the change with a preset threshold. If the change is less than or equal to the preset threshold, the patient is predicted to have a long-term recurrence risk after ablation.

2. The method for predicting long-term recurrence of premature ventricular contraction ablation based on intracardiac potential spectrum according to claim 1, characterized in that, The preset analysis frequency band is 0Hz to 200Hz.

3. The method for predicting long-term recurrence of premature ventricular contractions (PVCs) ablation based on intracardiac potential spectrum according to claim 2, characterized in that, The high-frequency components refer to the frequency band components from 50Hz to 200Hz.

4. The method for predicting long-term recurrence of premature ventricular contraction ablation based on intracardiac potential spectrum according to claim 3, characterized in that, The frequency domain transformation is a Fast Fourier Transform.

5. The method for predicting long-term recurrence of premature ventricular contraction ablation based on intracardiac potential spectrum according to claim 4, characterized in that, The intracardiac bipolar potentials were collected under the same cardiac rhythm, which was either sinus rhythm or premature ventricular contraction rhythm.

6. The method for predicting long-term recurrence of premature ventricular contraction ablation based on intracardiac potential spectrum according to claim 5, characterized in that, The preset threshold is determined by plotting a receiver operating characteristic curve (ROC) that predicts long-term recurrence based on a training set of data containing multiple patients, and then determining the optimal critical value based on the curve.

7. The method for predicting long-term recurrence of premature ventricular contraction ablation based on intracardiac potential spectrum according to claim 6, characterized in that, The successful ablation target was located at the root of the aorta.

8. The method for predicting long-term recurrence of premature ventricular contraction ablation based on intracardiac potential spectrum according to claim 7, characterized in that, The local ventricular potential at the successful ablation target site does not contain discrete premature potentials before ablation.

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