EP1212693A2 - Procede informatise de traitement automatique de donnees de champs biomagnetiques, en particulier de donnees magnetocardiographiques - Google Patents

Procede informatise de traitement automatique de donnees de champs biomagnetiques, en particulier de donnees magnetocardiographiques

Info

Publication number
EP1212693A2
EP1212693A2 EP00971235A EP00971235A EP1212693A2 EP 1212693 A2 EP1212693 A2 EP 1212693A2 EP 00971235 A EP00971235 A EP 00971235A EP 00971235 A EP00971235 A EP 00971235A EP 1212693 A2 EP1212693 A2 EP 1212693A2
Authority
EP
European Patent Office
Prior art keywords
estimated
during
analysis
data
current
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Withdrawn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
EP00971235A
Other languages
German (de)
English (en)
Inventor
Stepanowitsch Romanovych
Fritz Steinberg
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.)
Squid AG
Original Assignee
Squid AG
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 Squid AG filed Critical Squid AG
Publication of EP1212693A2 publication Critical patent/EP1212693A2/fr
Withdrawn legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/00—2D [Two Dimensional] image generation
    • G06T11/20—Drawing from basic elements, e.g. lines or circles
    • G06T11/206—Drawing of charts or graphs
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/242—Detecting biomagnetic fields, e.g. magnetic fields produced by bioelectric currents
    • A61B5/243—Detecting biomagnetic fields, e.g. magnetic fields produced by bioelectric currents specially adapted for magnetocardiographic [MCG] signals
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G06T7/0012—Biomedical image inspection
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/242—Detecting biomagnetic fields, e.g. magnetic fields produced by bioelectric currents
    • A61B5/245—Detecting biomagnetic fields, e.g. magnetic fields produced by bioelectric currents specially adapted for magnetoencephalographic [MEG] signals
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30004—Biomedical image processing
    • G06T2207/30048—Heart; Cardiac

Definitions

  • the invention relates to a computer-based method for the automatic preparation of data from biomagnetic fields, in particular magnetocardiographic data.
  • the invention relates to a method which allows biomagnetic fields recorded automatically in one plane or in several points of a plane by means of one or more detectors, in particular by means of a SQUID detector, for example visualize in the form of magnetic field maps and automatically evaluate and classify the information contained in the field.
  • the development of highly sensitive magnetographs requires new methods for processing the acquired data, since the previously known methods are extremely time-consuming and can only be carried out by a few specialists.
  • the data should be processed automatically so that the diagnostically relevant information contained in the detected magnetic fields can be easily recognized and evaluated by a doctor.
  • the method is to compare and automatically classify the diagnostically relevant information contained in the data with stored information, in order to support the doctor in his diagnosis. Certain information should e.g. be visualized in the form of streamlined maps.
  • Distribution of the current densities on a surface is chosen as the model of the sources, which represents the vector size acquired.
  • a map of directional arrows is obtained, the size of which is proportional to the amount of a current density. Mapping currents in such a manner creates certain difficulties. On the part of the calculated range, where the modulo value of the current densities is several times smaller than the maximum, it is not readily possible to estimate the size and direction of the arrows on the map of arrows. The sources with low intensity thus fall out of the investigation.
  • a method for automatically visualizing cardiac currents through streamlines in the plane is described in the article by R. Killman, G.G. Jaros, P. Wach, R. Graumann, W. Moshage, M.
  • the result of solving the inverse problem is one of the above-mentioned maps of oriented arrows, the size of which is proportional to the modulus of the current density.
  • the invention is based on the object on the one hand of specifying a method for processing the data of the detected biomagnetic field, by means of which the currents causing the biomagnetic field pass through
  • Streamlines can be visualized in the plane and are thus particularly easily accessible for visual evaluation by trained personnel or a doctor.
  • the surface density of a double layer of magnetic charges (single layer of magnetic dipoles) or, which is equivalent to this, a function of the currents is selected as the model of the biological currents.
  • a remarkable feature of this function is that the projection of your level lines onto a calculated level represents streamlines. Therefore, by solving one you get
  • Integral equation regarding the density of a double layer of magnetic charges a map of the streamlines, the right term of the equation being the distribution of e.g. reproduce the magnetic field measured in a plane near the thorax (components of the magnetic induction vector or its derivatives).
  • the distribution of its sources in the examined body e.g. is in the heart. If these sources have the character of separate magnetic dipoles, the axis of which is perpendicular to a plane, they are interpreted as magnetic sheets and in one using the method on an output unit, e.g. On a screen or a printer, preferably a colored card, they look like separate eddies of electricity.
  • the main innovation lies in the treatment of the physical and mathematical model of the sources of an elementary magnetic field in one plane as a function of the current and its use in an integral equation as wanted unknowns.
  • the level lines of the function obtained after solving this equation represent the streamlines.
  • the results of a solution to the inverse problem by the above-mentioned method make it possible to build up maps of current density vectors, while the results obtained with previously known methods cannot be used to build up streamline maps.
  • the current function is a scalar, and the current density is a vector that is in the
  • Level has two projections. Therefore, for the same level network, the set of values required for a current function is twice smaller than the set of values required when considering the projections of current density vectors. Accordingly, the order of the linear algebraic equation system to be solved is twice lower.
  • mapping of the currents in the plane by streamlines allows the accuracy of the solution to be significantly improved, so that it becomes possible to visualize even small details, including the small diameter current vortices.
  • MCG magnetocardiographic
  • EKG electrocardiology
  • Criteria are automatically compared with at least one predefined normal value and that if the data deviate from the normal value by a predetermined amount, a signal which can be output on an output device and signals the deviation is generated.
  • the signal can be output acoustically, but in particular optically, e.g. by displaying a value determined from the data in red, while normal values are shown in black or green.
  • the recorded data automatically go through different analysis stages, with the complexity of the analysis increasing at each stage.
  • the individual stages are summarized in Table 1. The following stages of analysis are carried out:
  • the first stage of analysis is similar to the procedure for the morphological analysis of conventional ECGs, especially since MCG curves look like EKG curves and both have the same nomenclature of waves and intervals - PQRST. Myocardial ischemia can already be detected at this analysis level.
  • spectrotemporal analysis i.e. determining the relative energy of a cardio signal spectrum for different frequency bands and determining the spectral variability
  • time domain analysis especially
  • QRS duration of the signal
  • an average of the MCG is formed at various measuring points.
  • the purpose of such analysis is to determine the homogeneity of ventricular depolarization and to use this data to evaluate the risk of arrhythmias.
  • Such an approach is also used to estimate the risk of graft rejection.
  • all measurement points are summed up.
  • Such an approach gives a more generalized representation of some properties of myocardial stimulation. It is particularly advantageous to calculate the fields under the P wave and the QRS complex. The size of these fields reflects the energy generated during the excitation of the anterior chambers and ventricles of the heart. The ratio of these fields can also be calculated so as to estimate the electrical activity of the antechambers in comparison to the electrical activity of the ventricles.
  • the informational value of the MCG data grows dramatically with the transition to the subsequent stages of analysis, especially for mapping the magnetic field (MF mapping).
  • This method means the construction of distribution maps to determine the induction of the magnetic field in measuring points
  • each magnetic field distribution map can advantageously be determined automatically: first, the number of extremes of the magnetic field (in the physical sense, local extremes of a magnetic field are points with maximum values compared to neighboring points), in other words, the inhomogeneity of the map, and secondly the mutual arrangement of these extremes.
  • the homogeneity of the magnetic field card reflects the homogeneity of the electrical source that induces this card. This in turn shows that there are no myocardial sites that differ significantly from neighboring zones in terms of their electrophysiological properties, so that there are no local injury currents. Normally, the card has a dipole structure at every point in the cardiocycle, i.e. there is only a minimum and a maximum. It is clear that the occurrence of additional extremes proves the presence of additional local currents.
  • This orientation reflects the direction of the spread of the excitation front at the moment of the cardio cycle under consideration.
  • the maps are drawn from certain characteristic times of the cardio cycle, e.g. of QRS use, R-max, QRS-offset, T-max, T-offset, visually analyzed. Integrated maps calculated during the entire QRS complex and / or the St-T interval can be examined.
  • the qualitative visual analysis methods for magnetic field maps are sufficient to obtain a general description of important properties of the electrophysical process in the myocardium in each individual case, but they are unable to give a quantitative description of the properties uncovered and do not allow this to get statistical parameters for a group of patients. Therefore, the next step in the analysis of magnetic field distribution maps is the application of the quantitative criteria.
  • the simplest approach is to calculate the number of extremes in each card and to extend to all examined cardio cycle intervals.
  • the relative "smoothness index” is also used, which represents the sum of the correlation factors between four successive maps at the beginning of the ST segment.
  • the criterion based on the estimation of the complexity of the trajectories of the extrema during ventricular excitation is known.
  • the variability of the ratio of the largest positive to the largest negative extreme values during the ST-T interval can be used as a further quantitative criterion.
  • a homogeneity coefficient is known, which is to be used for the integral estimation of the number of extremes and their sharpness over the ST-T interval.
  • An interesting approach is a special spatial transformation (KLM transformation) of the magnetic field distribution cards and the calculation of the non-dipolar contributions in each card. Sometimes other quantitative parameters are used.
  • Solving the inverse electrodynamic problem regarding cardiology means the reconstruction of the electrical events in the heart on the basis of the measurements carried out on the surface of a human body. In the case of the MCG, the measurement is not carried out on the surface of a body, but above the surface in a measuring plane.
  • the first level is a representation of a source as an equivalent dipole. It is assumed that the entire electrical activity of the heart is focused on one point. Such a representation does not mean that the heart is actually a point source. It means that the results of its activity on the surface of a body are equivalent to the effects that could be measured if a point source were present. Such a representation of the source serves as a warning basis for vector cardiography. It is clear that it is not allowed to determine the own activities of different parts of the heart.
  • the second level of data representation based on the solution of the inverse problem is the reconstruction of the sources in the form of charge distributions in one
  • the first approach is to interpret a magnetic field source as a map of the distribution of charge density vectors
  • the second approach allows a map of fixed charge lines to be drawn and is more promising.
  • the image of the charge distribution already allows the characteristics of different sources and the to be estimated simultaneously
  • the third level is the reconstruction of a spatial, three-dimensional bioelectric source, i.e. restoring sources closest to reality.
  • the reconstruction of three-dimensional sources requires the use of extremely complex physical models and mathematical algorithms.
  • Determining the position of a point source at the start of an ectopic QRS complex is used to determine the origin of ventricular arrhythmia, and the same procedure is used in the delta wave for additional localization of the path.
  • an automatic method is also proposed that makes it possible for the doctor to estimate the number, direction, intensity and size of eddies at every moment of the cardio cycle and thus their behavior during depolarization or repolarization. It is useful to have a parallel to magnetocardiography
  • cardiac visualization methods such as X-rays, computed tomography, magnetic resonance imaging, etc. Which of these methods should be chosen depends on the requirements for the detailed resolution of the anatomical information, which in turn depends on the specific clinical task. Experience shows that in most cases it is sufficient to use simple X-rays or that it is even possible not to use cardiac visualization procedures at all without reducing the value of the MCG examination.
  • each successive stage of the analysis is specified and further develops the information obtained in the previous stage.
  • the sensitivity of the algorithm when diagnosing IHD would be 86% if only the analysis of the magnetic field distribution cards were used. If, in addition, the analysis based on the solution of the inverse problem was applied, the sensitivity increased to 94%.
  • the form of the medical conclusion made by the magnetocardiographist and passed on to the clinician is very important.
  • Conclusions are used that consist of two parts.
  • quantitative and semi-quantitative characteristics of the current MCG are given (homogeneity of the cards, direction of the ECD and the vectors of the current density, current density values, etc.).
  • the discovered changes are automatically related to physiological conclusions or types of heart disease, for example: "... disorders that occurred during ventricular repolarization are evidence of a high (medium, low) probability of IHD" or " ... from a high risk of arithmetic occurrence "or” in comparison with previous MCGs there are significant positive changes which confirm the efficiency of an anti-anginal (antiarithmic) therapy ".
  • All criteria can be divided into four groups. Within the groups, they are arranged in the order of ascending analysis levels. Group 1. Criteria for estimating the signal-to-noise ratio. A. Visual estimation of high-frequency, low-amplitude waves along average MCG curves.
  • C Homogeneity coefficient (CH). The normal value is no more than 0.95.
  • A Visual estimation of the approximate direction of the corresponding current dipoles based on the magnetic field distribution maps.
  • B * Quantitative analysis of the corresponding current dipole direction based on the magnetic field distribution maps.
  • the normal direction during the ST-T interval is down to the left (for no more than 2/3 of the duration of the ST-T interval).
  • the normal direction during the QRS complex consists of three phases: 1st phase to the bottom right, 2nd phase to the bottom left, 3rd phase upwards.
  • C * Analysis of the effective dipole depth.
  • cardiac disorders in general, particularly the diagnosis of various forms of ischemia and the assessment of the effectiveness of anti-chemical therapy.
  • the ratio of the current density at the point in time 80 ms after ST use to the current density in the J point should not be less than 2.5 - the ratio of the current density values at the R-max point to that at the T-max point should not be greater than 3.5.
  • the main clinical significance of this group of criteria is the determination of heart disorders in general, in particular the diagnosis of various forms of ischemia and heart failure, as well as the assessment of therapy efficiency.
  • the ordinal number of the card is determined from that in which the direction of the equivalent ventricular repolarization current dipole became stably normal, i.e. pointed to the bottom left (during no more than 1/3 of the ST-T interval duration, whereby the larger the ordinal number of the card mentioned the greater the severity of the ischemia).
  • the proposed method is based on various successive stages of MCG analysis: visual qualitative and quantitative analysis of the magnetic table field distribution maps, analysis of the effective current dipole localization, qualitative and quantitative criteria of the current distribution. All these steps make it possible to carry out a comprehensive, accurate and versatile assessment of the homogeneity of the excitation, the direction of the currents, the performance characteristics of the excitation at any time and the behavior of all these parameters during the entire repolarization process.
  • the analysis of the effective dipole depth not only allows two-dimensional distributions of a source to be obtained, but to a certain extent its three-dimensional distribution.
  • the problem is as follows: Determination of the most significant electrophysical properties of ventricular depolarization using magneto-cardiography, which can serve as criteria for the distinction between normal and pathological functional states of the heart and also for obtaining information about various heart diseases.
  • the problem is as follows: MCG determination of the electrophysical properties of the ventricular repolarization resulting from myocardial ischemia. This is particularly important in patients with a non-informative ECG.
  • MCG a morphological analysis of the QRS complex
  • method of visual assessment of delay-free magnetic field distribution maps and time-integrated maps method of qualitative and quantitative evaluation of residual maps
  • method of evaluating the effective current dipole parameters method of calculating current densities.
  • Area S s as source level.
  • the magnetic field is detected by second-order gradiometers that are placed above the measuring plane in such a way that the pick-up coil lies in the measuring plane.
  • a signal is measured at the overlapping centers of a pick-up coil with nxn nodes in this level.
  • the grid of mxm nodes is chosen on S s .
  • Coefficient a ti also depends on the position of a node Mj on a grid S s .
  • the right part of the equation represents the distribution in the nodes Q, a signal from a gradiometer.

Landscapes

  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Physics & Mathematics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Quality & Reliability (AREA)
  • Biomedical Technology (AREA)
  • Radiology & Medical Imaging (AREA)
  • Cardiology (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Biophysics (AREA)
  • Pathology (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Molecular Biology (AREA)
  • Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • Public Health (AREA)
  • Veterinary Medicine (AREA)
  • Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)
  • Measuring Or Testing Involving Enzymes Or Micro-Organisms (AREA)

Abstract

L'invention a pour objectif la création d'un procédé de traitement de données d'un champ biomagnétique détecté, au moyen duquel les courants résultant du champ magnétique peuvent être visualisés par des lignes de courant dans un plan, de telle sorte qu'ils puissent être accessibles de façon particulièrement simple, pour une exploitation visuelle par du personnel formé ou par un médecin. L'invention concerne un procédé informatisé qui comprend les étapes décrites ci-dessous, lesquelles sont fondées sur une densité superficielle de moments magnétiques (couche de dipôles magnétiques) ou bien, ce qui est équivalent, sur une fonction des courants en tant que modèle physique et mathématique des sources d'un champ biomagnétique. Lesdites étapes sont les suivantes: établissement d'une équation intégrale concernant la densité superficielle des moments magnétiques, dont le membre droit représente la seconde valeur dérivée, mesurée par un gradiomètre, de l'induction de champ magnétique dans le sens perpendiculaire au plan de mesure ( DIFFERENTIAL <2>Bz/ DIFFERENTIAL z<2>); détermination d'expressions analytiques pour des facteurs d'une matrice A qui s'approche de l'opérateur intégral de l'équation intégrale susmentionnée, et calcul de cette matrice; interpolation des valeurs mesurées de la fonction y= DIFFERENTIAL <2>Bz/ DIFFERENTIAL z<2>, dans les noeuds d'une grille de préférence de petite dimension; résolution selon Tickhonov d'un système d'équations algébriques linéaires Ax = y où x représente la densité superficielle des moments magnétiques; constitution d'une carte de lignes de niveau de la densité superficielle des moments magnétiques ou bien, ce qui est équivalent, d'une carte de lignes de courant, et chargement de la carte dans une unité de mémoire ou dans une unité de sortie.
EP00971235A 1999-08-28 2000-08-28 Procede informatise de traitement automatique de donnees de champs biomagnetiques, en particulier de donnees magnetocardiographiques Withdrawn EP1212693A2 (fr)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
DE19940912 1999-08-28
DE19940912 1999-08-28
PCT/DE2000/002930 WO2001020477A2 (fr) 1999-08-28 2000-08-28 Procede informatise de traitement automatique de donnees de champs biomagnetiques, en particulier de donnees magnetocardiographiques

Publications (1)

Publication Number Publication Date
EP1212693A2 true EP1212693A2 (fr) 2002-06-12

Family

ID=7919943

Family Applications (1)

Application Number Title Priority Date Filing Date
EP00971235A Withdrawn EP1212693A2 (fr) 1999-08-28 2000-08-28 Procede informatise de traitement automatique de donnees de champs biomagnetiques, en particulier de donnees magnetocardiographiques

Country Status (4)

Country Link
EP (1) EP1212693A2 (fr)
AU (1) AU1017601A (fr)
DE (2) DE10082810D2 (fr)
WO (1) WO2001020477A2 (fr)

Families Citing this family (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
AU2001289601A1 (en) * 2000-06-12 2002-01-08 Squid International Ag Method for determining a diagnostically relevant parameter from the electrocardiographical and magnetocardiographical data of a patient
DE10105429B4 (de) * 2001-02-07 2005-08-18 Robert Bosch Gmbh Verfahren zum Ermitteln von Stromdichten für das Überprüfen der Einhaltung von Personenschutz-Basisgrenzwerten
AT501845B1 (de) * 2005-03-15 2008-08-15 Walter Mag Dr Medinger Verfahren zur punkt-raster-diagnose von störstellen im raum auf der grundlage der magnetischen flussdichte oder verwandter physikalischer grössen
US8406848B2 (en) 2009-10-06 2013-03-26 Seiko Epson Corporation Reconstructing three-dimensional current sources from magnetic sensor data
UA104073C2 (uk) 2012-07-13 2013-12-25 Илья Анатольевич Чайковский Спосіб оцінки ступеня ушкодження міокарда на основі аналізу змін у часі показників щільності струму
DE102014005931A1 (de) * 2014-04-25 2015-10-29 Alexander Schirdewan Verfahren zur Bestimmung eines Arrhythmierisikos
EP3308703B1 (fr) * 2016-10-11 2019-10-02 Biomagnetik Park GmbH Méthode magnétocardiographie et système magnétocardiographie
CN116189902B (zh) * 2023-01-19 2024-01-02 北京未磁科技有限公司 基于心磁图视频数据的心肌缺血预测模型及其构建方法
CN117084684B (zh) * 2023-10-19 2024-02-02 山东大学齐鲁医院 基于心磁电流密度图扩展场的特征参数提取方法及系统
CN117113064B (zh) * 2023-10-23 2024-02-02 杭州诺驰生命科学有限公司 多维度心磁特征参数提取方法及系统
CN117100276B (zh) * 2023-10-23 2024-01-12 山东大学齐鲁医院 心功能检测系统、计算机存储介质及终端
CN117137492B (zh) * 2023-11-01 2024-02-09 山东大学齐鲁医院 冠状动脉血流异常检测系统、存储介质及终端

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
See references of WO0120477A2 *

Also Published As

Publication number Publication date
WO2001020477A3 (fr) 2002-04-04
DE10042138A1 (de) 2001-05-17
WO2001020477A2 (fr) 2001-03-22
AU1017601A (en) 2001-04-17
DE10082810D2 (de) 2002-08-29

Similar Documents

Publication Publication Date Title
DE19808985B4 (de) Verfahren und Vorrichtung zur Biomagnetfeld-Messung
EP1904973B1 (fr) Procédé, dispositif et produit de programme informatique destinés à l&#39;évaluation d&#39;images d&#39;une cavité
DE4218563C2 (de) Verfahren und Vorrichtung zur Gewinnung und zur Anzeige von medizinischen Daten
EP1047987B1 (fr) Procede et dispositif de representation et de surveillance de parametres fonctions d&#39;un systeme physiologique
EP0223049B1 (fr) Procédé et dispositif de représentation de grandeurs électrocardiographiques
DE102007057885B4 (de) Verfahren zur Analyse von physiologischen Daten und Qualitätsprüfung der Messung unter Verwendung der Analyse der Hauptkomponenten
DE602005002326T2 (de) Biomagnetisches Messgerät
DE4226413C2 (de) Verfahren zum Messen von in einem lebenden Organ erzeugten elektrischen Strömen
EP0086429A2 (fr) Procédé de cardiogoniométrie et cardiogoniomètre correspondant
DE102007046259A1 (de) Verfahren und Vorrichtung mit reduziertem Elektrodensystem und spezifischer EKG-Interpretation
EP0582885A2 (fr) Procédé pour la classification de modèles de champ
DE112012004490T5 (de) Verfahren für eine nicht-invasive Abbildung einer elektrischen Myokardaktivität
EP1212693A2 (fr) Procede informatise de traitement automatique de donnees de champs biomagnetiques, en particulier de donnees magnetocardiographiques
DE602004000200T2 (de) Vorrichtung zur Analyse der Zyklus/Zyklus-Alternanz und/oder der Variabilität der ventrikulären Repolarisierungswelle eines EKG-Signals
EP0531703A1 (fr) Procédé de localisation d&#39;activité électrophysiologique
DE102008047825A1 (de) Verfahren, Vorrichtung und Computerprogrammprodukt zum Darstellen verschiedener Bilder einer Kavität
EP3850640B1 (fr) Procede et appareil de surveillance cardiaque
DE4307545A1 (de) Gerät und Verfahren zur Bestimmung des Ortes und/oder der Ausdehnung von Ischämien und/oder Infarkten im Herzen eines Lebewesens
DE112009004682T5 (de) Systeme und Verfahren zum Modellieren elektrischerAktivität einer anatomischen Struktur
DE102016209885B4 (de) Automatische Charakterisierung von Lebergewebe
EP1421895A1 (fr) Dispositibe et procédé de localisation de régions lumineuses
EP1048000B1 (fr) Cardiogoniometrie elargie
DE102019210471A1 (de) Verfahren und Vorrichtung zur Bildgebung in der Computertomographie
DE102021100558B3 (de) Verfahren und Vorrichtung zur technischen Unterstützung der Analyse von messtechnisch erfassten Signalen, die einen zeit- und raumabhängigen Signalverlauf aufweisen
DE102011081480B4 (de) Verfahren zur Bestimmung der intrinsischen Anisotropie eines Gewebes

Legal Events

Date Code Title Description
PUAI Public reference made under article 153(3) epc to a published international application that has entered the european phase

Free format text: ORIGINAL CODE: 0009012

17P Request for examination filed

Effective date: 20020328

AK Designated contracting states

Kind code of ref document: A2

Designated state(s): AT BE CH CY DE DK ES FI FR GB GR IE IT LI LU MC NL PT SE

AX Request for extension of the european patent

Free format text: AL;LT;LV;MK;RO;SI

STAA Information on the status of an ep patent application or granted ep patent

Free format text: STATUS: THE APPLICATION IS DEEMED TO BE WITHDRAWN

18D Application deemed to be withdrawn

Effective date: 20040302