WO2001020477A2 - Computerbasiertes verfahren zur automatischen aufbereitung von daten biomagnetischer felder, insbesondere von magnetokardiographischen daten - Google Patents
Computerbasiertes verfahren zur automatischen aufbereitung von daten biomagnetischer felder, insbesondere von magnetokardiographischen daten Download PDFInfo
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- WO2001020477A2 WO2001020477A2 PCT/DE2000/002930 DE0002930W WO0120477A2 WO 2001020477 A2 WO2001020477 A2 WO 2001020477A2 DE 0002930 W DE0002930 W DE 0002930W WO 0120477 A2 WO0120477 A2 WO 0120477A2
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- 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
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- 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
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- 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
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- 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
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- 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 maps of the streamlines give a more visual representation of the spread of a stream in a calculated plane compared to the maps of the current density vectors (arrows).
- the sources of both large and small intensities are precisely depicted on a map of streamlines.
- the current eddies that are located near calculated area locations are mapped regardless of their size and intensity. The method therefore makes it possible not only to see the usual patterns of biocurrents in the heart, for example, but also to distinguish details of this current flow.
- 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.
- This parameter has been shown to be related to the degree of heart failure.
- the data of a vector MCG can be consulted, which is registered in special one-position leads systems.
- the amplitude values of the X, Y and Z components during the P wave, the QRS complex and the ST-T interval, the amplitude and direction of the spatially maximum QRS vector, the QRS vector duration and so on calculated and used for the diagnosis of myocardial ischemia.
- the analyzes are usually carried out together with an EKG analysis.
- 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.
- the main clinical significance of the group of criteria is the determination of cardiac disorders in general and in particular the determination of the risk of cardiac arithmia and the assessment of the effectiveness of an antiarithmic therapy.
- 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.
- Normal parameter during the QRS complex there are four different movements of a dipole in the depth.
- the first movement is forward, that second movement (the main one) is directed backwards, the third movement is directed forwards, the fourth movement is directed backwards.
- D Visual estimation of the direction of current propagation based on the maps of the streamlines and the maps of the current density vectors.
- E * Quantitative analysis of the direction of propagation of the current based on the maps of the streamlines and the maps of the current density vectors. 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).
- Normal direction during the QRS complex consists of three phases: 1st phase directed to the bottom right, 2nd phase directed to the bottom left, 3rd phase directed upwards.
- 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 large number and structure of the criteria reflects the many aspects of the information contained in the MCG and also the historical direction of software development: from the morphological analysis of the MCG curves to the solution of the two-dimensional inverse problem. Now all of the above sentences are used in practical work.
- 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 duration of the existence of additional extremes during the repolarization process is estimated (not more than 1/3 of the duration of the ST-T interval, the longer the duration of the existence of additional extremes, the greater the severity of the ischemia).
- Analysis of effective dipole parameters within the ST-T interval The effective dipole depth in J point is estimated (the depth at this point should be the largest within the ST-T interval).
- the approximate direction of most current density vectors in each card is estimated and their deviation from the normal left down direction determined.
- the presence of additional vortexes in each streamline card is determined.
- Quantitative analysis of the vetricular repolarization voltage lines and density vector maps The ordinal number of the map is determined based on the map in which the direction of most current density vectors is stably normal, i.e. was directed to the bottom left (no more than 1/3 of the duration of the ST-T interval, the larger the card order number, the greater the severity of the ischemia).
- the duration of the existence of additional voltage vortices is determined (not more than 1/3 of the duration of the ST-T interval, the greater the duration of the existence of additional ones
- the ratio of the current density at the point in time 80 ms after ST use to the current density at the J point is determined (it 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 is calculated (it should not be greater than 3.5).
- Each subsequent stage of the analysis supplements and extends the information from the previous stage.
- 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 first of these methods represents the spectral analysis of the last part of the QRS complex, comparable to the analysis of the late potentials on the EKG.
- the second method is the analysis of the mutual arrangement of positive and negative extrema in each magnetic field distribution card.
- the third procedure ren represents a visual and quantitative estimate of the differences between the current map and a reconstructed normal map.
- the fourth procedure provides an estimate of the orientation and strength of the current dipoles during the QR interval.
- the fifth procedure provides an estimate of the current density distribution and the values in the QRS maximum vectors at the different times of the
- Each of these known methods allows the estimation of only one aspect of ventricular depolarization: homogeneity of the excitation or direction of the equivalent current dipoles or current density at defined times of the depolarization. Therefore, there are no quantitative criteria that allow the depolarization process to be assessed not only at discrete times, but throughout the entire process.
- Each of these methods is based on only one stage of the analysis: on the magnetic field distribution cards or the parameters of effective dipoles or the current density distribution cards.
- the proposed method is based on various successive stages of MCG analysis: visual qualitative and quantitative analysis of the magnetic field distribution cards, analysis of the location of effective current dipoles, qualitative and quantitative criteria of the current distribution.
- Criteria based on a performance characteristic estimate (curves of the maximum and the average density of a current during depolarization) during the entire depolarization process. All of the above criteria allow the ventricular depolarization process to be assessed more comprehensively, in more detail and more precisely, and conclusions can be drawn on this basis about the functional myocardial state.
- 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 ischemia diagnosis in patients with an unchanged ECG There are two methods for MCG ischemia diagnosis in patients with an unchanged ECG, namely: method of visually estimating magnetic field distribution cards and evaluation method of the effective current dipole parameters.
- the first of these methods provides a visual estimate of the quantity and arrangement of the magnetic extremes and the direction of the dipoles at different moments during the repolarization period.
- the second method provides an estimate of the direction and strength of the
- the disadvantage of the first of these methods is the fact that only the spatial distribution of the magnetic field can be obtained without taking into account the direction of the dipoles and the power characteristic. Conversely, the second method does not take into account the spatial distribution of a magnetic field.
- a common disadvantage of these two methods is the lack of quantitative criteria, which made it possible to estimate the repolarization process not only at a discrete point in time, but throughout the entire process. These methods are unable to estimate the severity of the ischemia. Each of them only allows one aspect of ventricular repolarization to be assessed: the homogeneity of the
- the method offered is based on various successive stages of MCG analysis: visual qualitative and quantitative analysis of the magnetic field distribution maps, analysis of the location of the effective current dipoles, qualitative and quantitative criteria of the current distribution. All of these steps allow a comprehensive, accurate and versatile estimation of the excitation homogeneity, 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.
- those based on the analysis of the effective dipole depth allow it Criteria not only to obtain two-dimensional distributions of a source, but also, to a certain extent, to obtain its three-dimensional distributions. This makes it possible to significantly improve the sensitivity and specificity of a method and not only to diagnose the presence of ischemia, but also to assess its degree.
- the problem is as follows: determination of myocardial necrosis resulting from myocardial infarction, i.e. Development of MCG equivalents for myocardial necrosis. There are various methods of evaluating myocardial necrosis
- 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.
- the first method represents the estimation of the QRS complex type in different measuring points, equivalent to the standard EKG analysis.
- the second method is the analysis of the mutual arrangement of positive and negative extrema in each magnetic field distribution map.
- the third method is a visual and quantitative assessment of the differences between The current method and a reconstructed normal map.
- the fourth method represents an estimate of the direction and strength of the current dipoles during the QRS interval.
- the fifth method represents an estimate of the current density distribution and the values in the QRS maximum vectors to different ones Points in time of depolarization.
- Each of these methods makes it possible to estimate only one aspect of ventricular depolarization: homogeneity of the excitation or direction of the equivalent current dipoles or current density at defined times of the depolarization. Therefore, there are no quantitative criteria that allow the depolahization process to be assessed not only at certain times, but throughout the entire process.
- Each of these methods is based on only one stage of the analysis: on magnetic field distribution cards or effective dipole parameters or current density distribution cards. Only the second procedure is used to diagnose non-Q infarction, i.e. in patients with a non-informative or doubtful ECG.
- the proposed method is based on various successive stages of MCG analysis: visual qualitative and quantitative analysis of the magnetic field distribution cards, analysis of the location of the effective current dipoles, qualitative and quantitative criteria for the current distribution. All of these steps allow a comprehensive, accurate and versatile assessment of the homogeneity of the excitation, the direction of the currents, the performance characteristics of the excitation at all times the behavior of all these parameters during the entire depolarization process.
- the criteria based on the analysis of the effective dipole depth not only allow the two-dimensional distribution of a source to be obtained, but also, to a certain extent, its three-dimensional distribution.
- the main new innovations of the invention offered are: a) successive use of different stages of MCG analysis.
- 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 .
- the components s 2s 2 + s 3 are vertical (z) components of the magnetic induction in the points Q "Q '" Q "" where Q, a node of the lattice and the points Q'"Q", above S m in the distances b and 2b, where b is the baseline of the gradiometer.
- 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.
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Application Number | Priority Date | Filing Date | Title |
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AU10176/01A AU1017601A (en) | 1999-08-28 | 2000-08-28 | Computer-based method for automatically processing data, especially magnetocardiographic data, of biomagnetic fields |
EP00971235A EP1212693A2 (de) | 1999-08-28 | 2000-08-28 | Computerbasiertes verfahren zur automatischen aufbereitung von daten biomagnetischer felder, insbesondere von magnetokardiographischen daten |
DE10082810T DE10082810D2 (de) | 1999-08-28 | 2000-08-28 | Computerbasiertes Verfahren zur automatischen Aufbereitung von Daten biomagnetischer Felder, insbesondere von Magnetokardiographischen Daten |
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CN117137492A (zh) * | 2023-11-01 | 2023-12-01 | 山东大学齐鲁医院 | 冠状动脉血流异常检测***、存储介质及终端 |
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Publication number | Priority date | Publication date | Assignee | Title |
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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 |
EP3308703B1 (de) * | 2016-10-11 | 2019-10-02 | Biomagnetik Park GmbH | Magnetkardiographieverfahren und magnetkardiographiesystem |
-
2000
- 2000-08-28 DE DE10042138A patent/DE10042138A1/de not_active Withdrawn
- 2000-08-28 WO PCT/DE2000/002930 patent/WO2001020477A2/de not_active Application Discontinuation
- 2000-08-28 AU AU10176/01A patent/AU1017601A/en not_active Abandoned
- 2000-08-28 EP EP00971235A patent/EP1212693A2/de not_active Withdrawn
- 2000-08-28 DE DE10082810T patent/DE10082810D2/de not_active Expired - Fee Related
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WO2002000108A3 (de) * | 2000-06-12 | 2003-05-30 | Squid Internat Ag | Verfahren zum bestimmen eines diagnostisch relevanten parameters aus elektrokardiographischen und magnetokardiographischen daten eines patienten |
WO2002000108A2 (de) * | 2000-06-12 | 2002-01-03 | Squid International Ag | Verfahren zum bestimmen eines diagnostisch relevanten parameters aus elektrokardiographischen und magnetokardiographischen daten eines patienten |
US8406848B2 (en) | 2009-10-06 | 2013-03-26 | Seiko Epson Corporation | Reconstructing three-dimensional current sources from magnetic sensor data |
US9451901B2 (en) | 2012-07-13 | 2016-09-27 | Illya Anatoliiovych Chaykovskyy | Method and device for evaluation of myocardial damages based on the current density variations |
WO2015161839A1 (de) * | 2014-04-25 | 2015-10-29 | Alexander Schirdewan | Verfahren zur bestimmung eines arrhythmierisikos |
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 |
CN116189902A (zh) * | 2023-01-19 | 2023-05-30 | 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 |
CN117084684A (zh) * | 2023-10-19 | 2023-11-21 | 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*** |
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CN117100276A (zh) * | 2023-10-23 | 2023-11-24 | 山东大学齐鲁医院 | 心功能检测***、计算机存储介质及终端 |
CN117113064A (zh) * | 2023-10-23 | 2023-11-24 | 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*** |
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CN117137492A (zh) * | 2023-11-01 | 2023-12-01 | 山东大学齐鲁医院 | 冠状动脉血流异常检测***、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***、存储介质及终端 |
Also Published As
Publication number | Publication date |
---|---|
AU1017601A (en) | 2001-04-17 |
DE10042138A1 (de) | 2001-05-17 |
DE10082810D2 (de) | 2002-08-29 |
WO2001020477A3 (de) | 2002-04-04 |
EP1212693A2 (de) | 2002-06-12 |
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