EP3606416A1 - Procédé de détermination d'une multitude de potentiels d'activation dans le c ur - Google Patents

Procédé de détermination d'une multitude de potentiels d'activation dans le c ur

Info

Publication number
EP3606416A1
EP3606416A1 EP18714500.8A EP18714500A EP3606416A1 EP 3606416 A1 EP3606416 A1 EP 3606416A1 EP 18714500 A EP18714500 A EP 18714500A EP 3606416 A1 EP3606416 A1 EP 3606416A1
Authority
EP
European Patent Office
Prior art keywords
heart
period
signal
activation
potentials
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.)
Withdrawn
Application number
EP18714500.8A
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German (de)
English (en)
Inventor
Ovidiu Codreanu
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Biotronik SE and Co KG
Original Assignee
Biotronik SE and Co KG
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Biotronik SE and Co KG filed Critical Biotronik SE and Co KG
Publication of EP3606416A1 publication Critical patent/EP3606416A1/fr
Withdrawn legal-status Critical Current

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Classifications

    • 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
    • A61B5/349Detecting specific parameters of the electrocardiograph cycle
    • A61B5/364Detecting abnormal ECG interval, e.g. extrasystoles, ectopic heartbeats
    • 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
    • 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]
    • A61B5/333Recording apparatus specially adapted therefor
    • 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]
    • A61B5/339Displays specially adapted therefor
    • A61B5/343Potential distribution indication
    • 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]
    • A61B5/367Electrophysiological study [EPS], e.g. electrical activation mapping or electro-anatomical mapping
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/74Details of notification to user or communication with user or patient ; user input means
    • A61B5/7405Details of notification to user or communication with user or patient ; user input means using sound
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/74Details of notification to user or communication with user or patient ; user input means
    • A61B5/7455Details of notification to user or communication with user or patient ; user input means characterised by tactile indication, e.g. vibration or electrical stimulation
    • 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]
    • A61B5/282Holders for multiple electrodes
    • 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

Definitions

  • the present invention describes a method for determining a plurality of activation potentials in the heart, a corresponding computer program product, a corresponding device and a corresponding system.
  • One known method for the non-drug, minimally invasive treatment of idiopathic or paroxysmal arrhythmias of the heart is intracardiac ablation.
  • a catheter with at least one electrode is introduced via the venous blood vessels into the right atrium of the heart and placed through the cardiac septum in the left atrium.
  • Most ablation catheters have 4 electrodes, with RF energy delivered to the tissue via the electrode at the tip of the catheter.
  • muscle tissue areas in the left atrium are so desolated (ablated) by means of a high-frequency current introduced through the electrode that so-called rotors (circular excitations) or ectopic activation sources are eliminated, which are the cause of the atrial fibrillation.
  • rotors circular excitations
  • ectopic activation sources are eliminated, which are the cause of the atrial fibrillation.
  • a minimally invasive treatment by means of laser or cold can be carried out analogously.
  • AF atrial fibrillation
  • US Pat. No. 9,370,312 B2 describes various calculation methods for matching a surface ECG with an intracardiac ECG by means of imaging (maps) of electrical potentials of the heart.
  • an endocardial imaging by means of a catheter and an image based on a surface ECG are generated and brought into agreement on the basis of anatomical fixed points and / or electrical properties of the images.
  • the object can be seen to provide a method that allows a more accurate assessment of the ablation, including lower-lying areas.
  • the object is also to provide a corresponding device.
  • the size and location of a variety of activation potentials in the heart can be determined by the following steps:
  • the recording of the surface ECG signal takes place synchronously for all channels (eg 64 channels). Furthermore, the synchronous recording of the surface ECG signal can be synchronized with the recording of the IEGM signal. The synchronicity of the surface ECG signal with the IEGM signal can improve the evaluation of the signals.
  • the 64-channel surface ECG is recorded.
  • fewer or more channels for recording are conceivable, such. 6, 32, 128, etc.
  • the use of a larger number of channels increases the accuracy of the signal analysis and is associated with a higher computational effort.
  • ICA Independent Component Analysis
  • the ICA analysis is applied to the data set of a multichannel surface ECG, preferably with 64 channels, and the data set is processed to determine a variety of cardiac activation potentials, including their magnitude and location.
  • amount of the activation potential is understood to mean the time-dependent course of the respective potential.
  • the ICA analysis can be used because the measuring points (electrodes / channels of the ECG) are spatially distributed. They are at predetermined locations on the surface attached to the patient's body. Furthermore, it is assumed that the number of measurement points (channels) is greater than the number of statistically independent signal sources (here: activation potentials in the heart).
  • the detected mixed signals are a linear combination of the native signal sources (activation potentials of the heart) or, for the later calculations, a sufficiently accurate linear combination. Furthermore, the activation potentials have no Gaussian distribution and are statistically independent.
  • At least one intracardiac (preferably unipolar) ECG signal (hereinafter referred to as the IEGM signal), which is detected by means of at least one electrode arranged inside the heart.
  • IEGM signal intracardiac (preferably unipolar) ECG signal
  • a catheter at the tip of which the electrode is arranged, is advanced via the venous system into the heart of the patient and guided transseptally into the left atrium.
  • the catheter is moved along the inner wall of the chamber to selectively measure the electrical potential on the inner wall by means of the electrode.
  • the at least one electrode can additionally be used for ablation.
  • ICA analysis may also be applied to the IEGM signal.
  • the IEGM signal is a composite signal that is composed of individual signals generated by different electrical action potentials.
  • the ICA allows extraction and isolation of the single signals from the IEGM. For this purpose, the typical ICA calculation steps are applied to the IEGM signal.
  • the IEGM signal is then compared with the plurality of activation potentials determined by ICA analysis from the surface ECG data set or combinations of these activation potentials and thus analyzed in combination. Based on this comparison, the amount and / or location of at least one of the plurality of activation potentials in the heart is corrected.
  • an activation potential from the surface ECG evaluated by means of ICA analysis or a combination of such activation potentials can be assigned to the activation potential determined by means of the IEGM signal. Since the location of the associated activation potential is much more accurately known with the detected IEGM signal, this allows IEGM signal correction of the variety of activation potentials determined by ICA analysis.
  • the solution has the advantage that areas lying deeper in the heart muscle can also be examined.
  • the combination of surface ECG signal and IEGM signal not only captures superficial signal paths. Activation potentials from deeper areas of the heart muscle flow into the signal of the surface ECG and are worked out by the decomposition into signal sources by means of the ICA analysis. For example, if after ablation only the preferably unipolar IEGM signal for the site in question is greatly altered or disappears, it is very likely that in a deeper area of the myocardium there is still a conductive path that still needs to be treated by ablation. Ablation can be more accurately assessed by the procedure.
  • the comparison in step d) is performed by means of correlation calculation.
  • the amount and the position of the multiplicity of activation potentials determined according to steps a) to d) are preferably represented by means of a two-dimensional or a three-dimensional model of the heart in a two-dimensional or three-dimensional map.
  • voltage maps (voltage maps) of the heart are calculated on the basis of electrical potentials measured in and at the heart, ie the measured ECG signals.
  • Revelation ECG components which were determined according to the method, can be used for the calculation of a voltage map.
  • a rotor and / or an ectopic activation potential is automatically identified.
  • a pathological activation potential can, for example, in a two-dimensional or three-dimensional mapping z. B. be shown highlighted accordingly.
  • other anatomical fixed points and areas such as sinus node, atrial muscle, AV node, bundle branches, ventricular muscle can be automatically identified and particularly preferably in a two-dimensional or three-dimensional image z. B. be highlighted.
  • individual signal components may have specific properties for identifying abnormal stimulus transmission or stimulus generation.
  • individual signal components are recorded as a function of time and place during the cardiac cycle and analyzed with known data via the normal cardiac conduction.
  • Such an analysis may be a comparison of certain characteristic features of the signal component with the known data, such as a threshold comparison of the signal amplitude.
  • analysis from a morphology comparison may represent the signal component having a known signal pattern.
  • the known signal pattern represents a normal cardiac conduction and can be generated patient-specific, eg by taking signals during normal intrinsic cardiac activity and averaging them into a pattern signal.
  • the signal pattern may also represent a pre-stored pattern. If the analysis reveals that the signal components deviate from the properties of a normal cardiac conduction, rotors or ectopic activation potentials could be the cause.
  • Such signal components can be graphically highlighted when creating and displaying a map. If there is a rotor, the temporal and spatial analysis of the amplitude of the corresponding signal component will have a circular signal path. Such a component can then be highlighted, this can, for. B. methods of morphological image processing can be used.
  • the magnitude and location of a plurality of activation potentials in the heart is determined by steps a) through d), respectively, in a first time period and a second time period, wherein the second time period is different from the first time period. For example, the first period is before ablation and the second period is after ablation.
  • the change of some of the activation potentials of the second period to the first period in terms of amount and / or location is determined.
  • the determination of the change can be carried out by means of a data processing device (eg personal computer, notebook, tablet or smartphone).
  • the data processing device may include a processor and a memory.
  • the detected multichannel surface ECG is decomposed by ICA into several components, some of which represent activation potentials of the heart or combinations thereof. Other components correspond to z.
  • Other components correspond to z.
  • an IEGM signal is also detected at the ablation site. At the ablation site, it is intended to interrupt the signal conduction of the heart or to prevent an unwanted activation potential.
  • the detected simultaneously with the surface ECG IEGM signal is then z. B. compared by cross-correlation with the ICA components and the component that gives the largest correlation factor is assigned to the point at which the heart tissue must be ablated.
  • the ablation is then performed and steps a to d are repeated. If the signal is then re-measured at the ablated site and the ICA component that was assigned by cross-correlation to the same site in the first step is still present, then most likely, the ablation was unsuccessful. It is conceivable to apply the method not just for one but for several IEGM measurement points before and after ablation.
  • a corresponding acoustic and / or visual value changes by more than a predetermined threshold value when the amount of an activation potential between the first period and the second period changes and / or tactile indication.
  • a predetermined threshold value when the amount of an activation potential between the first period and the second period changes and / or tactile indication.
  • the above object is further achieved by a computer program product for determining the size and arrangement of a plurality of activation potentials in the heart with program code means for executing a computer program after its implementation in a data processing device, the program code means being provided after implementation in the data processing device as described above Perform procedure.
  • the computer program product has the advantages explained above for the method.
  • receiving means for receiving a record of a surface ECG signal recorded in synchronism with a plurality of channels, and data of at least one IEGM signal of the associated heart received during the same period;
  • a data processing device is for example a microprocessor, such as a personal computer with multi-core processor.
  • the 64-channel surface ECG can be recorded.
  • ECG recordings with fewer or more channels than 64 are also possible.
  • the device is designed such that the success of an ablation can be assessed more accurately, because deeper areas of the myocardium are also included in the analysis.
  • the data processing device is set up to carry out the comparison by means of correlation calculation.
  • a correlation of the data is possible by means of the correlation calculation.
  • the device further comprises a display device (for example in the form of a screen with a suitable resolution, for example 1920 ⁇ 1080 pixels), which is set up, preferably by means of an amount and location of the determined plurality of activation potentials two-dimensional or three-dimensional model of the heart in a two-dimensional or three-dimensional image.
  • a display device for example in the form of a screen with a suitable resolution, for example 1920 ⁇ 1080 pixels
  • the data processing device is set up to automatically identify a rotor and / or an ectopic activation potential based on the determined multiplicity of activation potentials. This simplifies the analysis of the data by the attending person.
  • the data processing device is set up for the amount and location of a multiplicity of activation potentials in the heart in each case in a first period (eg before the ablation) and in a second period (eg, after ablation), wherein the second period is different from the first period, and the change in the plurality of activation potentials of the second period to the first period in terms of amount and / or location to determine.
  • the data processing device is set up, with a change in the amount of an activation potential between the first period and the second period by more than a predetermined threshold value to generate an indication signal which causes an output of an audible and / or visual and / or tactile indication on a display device (eg a screen, a loudspeaker or the like).
  • a display device eg a screen, a loudspeaker or the like.
  • a system comprising a device as described above and a recording device for a surface ECG signal in synchronism with a plurality of channels, for example with 32 or 64 channels, and / or a recording device for at least one IEGM.
  • the device and the receiving device for a surface ECG signal and / or the receiving device for at least one IEGM signal are connected such that the receiving device for a surface ECG signal the respectively determined surface ECG signal to the Device transmitted and the receiving device for at least one IEGM signal transmitted the respectively determined at least one IEGM signal to the device.
  • Fig. 3 shows an embodiment of a method.
  • Fig. 4 is a schematic arrangement of the system for measuring the Ablations traditionss
  • the system includes a data processing device (eg, a processor of a computer), a catheter having one or more electrodes on the distal catheter tip, and means for detecting a surface ECG.
  • a data processing device eg, a processor of a computer
  • a catheter having one or more electrodes on the distal catheter tip
  • means for detecting a surface ECG is detected unipolar against a reference electrode by means of special electrodes via a plurality of channels (see step 31 in FIG. 3).
  • An example of the arrangement of 8-fold electrodes 11 and reference electrodes 12 on the body of the patient 13 is shown in FIG.
  • the reference electrodes for surface ECG and for unipolar IEGM are z.
  • 8 patch electrodes each with 8 individual electrodes are used, so that the total ECG is measured over 64 channels.
  • the channels for surface ECG and the IEGM channels are z. B. sampled synchronously with 24-bit resolution.
  • Fig. 2 shows an enlarged view of the 8-fold electrode 11 of FIG. 1.
  • the 8-fold electrode is a patch electrode for receiving ECGs that are adhered to the patient's chest.
  • the electrodes 21 are arranged offset to one another, so that the largest possible proportion of the surface 20 is provided with electrodes. In this way, an electrical mapping of the surface potentials with high spatial resolution can be generated during the ECG measurement.
  • other arrangements of the electrodes 21 are also suitable, if arranged so that cardiac signals can be received via them in a suitable manner.
  • the thus determined surface ECG data set is then forwarded to the data processing device and processed there by means of ICA analysis (see step 32 in FIG. 3).
  • ICA algorithms such as infomax, fastICA, Moedey-Schuster IC A or JADE are used for this purpose (see In A. Hyvärinen, J. Karhunen and E. Oja, "Independent Component Analysis,” John Wiley & Sons, Inc., 2001 for several FastICA variants, as well as Infomax-based ICA; Jean-Francois Cardoso "High-Order Contrasts for Independent Component Analysis," Neural Computation 11, 157-192 (1999) for JADE; Molgedey L, Schuster H.
  • an IEGM signal is recorded by means of a catheter previously arranged in the heart, in particular by means of its electrode or its electrodes (step 30 in FIG. 3). If multiple electrodes are used, the IEGM signal can be multi-channeled.
  • the IEGM signal is preferably compared by cross-correlation with the plurality of signal sources representing signal components determined by the surface ECG and the subsequent ICA analysis (step 33 in Fig. 3).
  • a correction of the activation potentials ascertained by means of surface ECG with respect to their magnitude and position takes place (step 34 in FIG. 3).
  • An optionally existing time offset between the surface ECG signal and the IEGM signal is neglected here.
  • a cross-correlation factor is preferably determined.
  • the method discussed above is performed in a first period of time prior to ablation (eg, a few seconds to several minutes prior to ablation, depending on the cardiac cycle and repetition period of the atypical cardiac signal sought ) and a plurality of activation potentials including magnitude and location, and optionally corrected based on the IEGM signal.
  • a second plurality of activation potentials including magnitude and location is again determined by the above method.
  • the multiplicity of the determined activation potentials before the ablation is compared with the multiplicity of the determined activation potentials after the ablation.
  • the ICA analysis can non-invasively reconstruct the local activation potentials of the rotor, ectopic, sinus, atrial, AF node, HIS bundle, bundle branches, ventricular muscle.
  • the regular heart signals are detected by registration algorithms. A database of regular heart signals is needed for this.
  • the components can provide information about possible pathological changes in cardiac activity. Such an analysis may also be done without the use of a catheter (i.e., without the combination of an IEGM signal).
  • the surface and intracardiac electrodes on the patient 41 enable measurement of the surface ECG and the IEGM and are associated with multiple unipolar measurement channels 42; Data is recorded synchronously and signal conditioning is performed.
  • the acquired data are forwarded to the data processing device 43, where they are evaluated and evaluated by means of ICA and the correlation calculation, the evaluation result in the sense of the disclosure being indicative of the success of the AF ablation.
  • the data processing unit processes at least one data set of the surface ECG signal by means of ICA analysis, wherein the amount and the position of a multiplicity of activation potentials in the heart are determined based on the ICA analysis.
  • the data of the at least one IEGM signal is compared with a plurality of activation potentials. Based on the comparison, the magnitude and / or location of at least one activation potential is corrected from the plurality of activation potentials in the heart.
  • Data processing device 43 is connected to a display device 44, on which the evaluation result for the success of the AF ablation can be displayed to a user.
  • a means of indication of the Ablation success on the display 44 is, for example, graphic concepts such as the display of a color gamut or percentage scale.
  • a calculated structure of the cardiac chambers ('map') may be displayed on the display together with the position of the catheter as well as the indication of ablation success at the respective ablated site.

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  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Medical Informatics (AREA)
  • Molecular Biology (AREA)
  • Pathology (AREA)
  • Engineering & Computer Science (AREA)
  • Biomedical Technology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Physics & Mathematics (AREA)
  • Biophysics (AREA)
  • Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • General Health & Medical Sciences (AREA)
  • Public Health (AREA)
  • Veterinary Medicine (AREA)
  • Cardiology (AREA)
  • Physiology (AREA)
  • Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)

Abstract

La divulgation concerne un procédé permettant de déterminer une multitude de potentiels d'activation dans le cœur en suivant ces étapes : a) enregistrement d'un signal ECG superficiel (31) de manière synchrone avec au moins 64 canaux, b) enregistrement d'au moins un signal IEGM (30), c) traitement du signal ECG superficiel par le biais d'une analyse ICA et détermination de la quantité et de l'emplacement d'une multitude de potentiels d'activation dans le coeur sur la base de l'analyse ICA (32) et d) comparaison d'au moins un signal IEGM avec une multitude de potentiels d'activation (33) et correction de la quantité et/ou de l'emplacement d'au moins un parmi une multitude de potentiels d'activation dans le coeur (34) en se fondant sur la comparaison. En outre un dispositif, un produit logiciel et un système correspondants sont divulgués.
EP18714500.8A 2017-04-03 2018-03-29 Procédé de détermination d'une multitude de potentiels d'activation dans le c ur Withdrawn EP3606416A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE102017107082.6A DE102017107082A1 (de) 2017-04-03 2017-04-03 Verfahren zur Bestimmung einer Vielzahl von Aktivierungspotentialen im Herzen
PCT/EP2018/058051 WO2018184968A1 (fr) 2017-04-03 2018-03-29 Procédé de détermination d'une multitude de potentiels d'activation dans le cœur

Publications (1)

Publication Number Publication Date
EP3606416A1 true EP3606416A1 (fr) 2020-02-12

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EP18714500.8A Withdrawn EP3606416A1 (fr) 2017-04-03 2018-03-29 Procédé de détermination d'une multitude de potentiels d'activation dans le c ur

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US (1) US20200054233A1 (fr)
EP (1) EP3606416A1 (fr)
DE (1) DE102017107082A1 (fr)
WO (1) WO2018184968A1 (fr)

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20200397329A1 (en) * 2018-03-06 2020-12-24 St. Jude Medical, Cardiology Division, Inc. Methods and systems for transmural tissue mapping
CN110946569B (zh) * 2019-12-24 2023-01-06 浙江省中医院 一种多通道体表心电信号同步实时采集系统

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7123954B2 (en) 2002-09-19 2006-10-17 Sanjiv Mathur Narayan Method for classifying and localizing heart arrhythmias
US9370312B2 (en) 2006-09-06 2016-06-21 Biosense Webster, Inc. Correlation of cardiac electrical maps with body surface measurements
FR2906123A1 (fr) * 2006-09-25 2008-03-28 Ela Medical Soc Par Actions Si Procede de reconstruction d'un electrocardiogramme de surface a partir d'un electrogramme endocavitaire
US8433398B2 (en) * 2011-03-10 2013-04-30 Siemens Medical Solutions Usa, Inc. Signal analysis system for heart condition determination

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US20200054233A1 (en) 2020-02-20
DE102017107082A1 (de) 2018-10-04
WO2018184968A1 (fr) 2018-10-11

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