# Patent

## Title
Method and device for determining and presenting surface charge and dipole densities on cardiac walls

## Abstract

The invention discloses a method, a system, a computer program and a device for determining the surface charge and/or dipole densities on heart walls. Using the foregoing, a table of dipole densities ν(P′, t) and/or a table of surface charge densities ρ(P′, t) of a given heart chamber can be generated.

## Background
CROSS REFERENCE TO RELATED APPLICATIONS
The present application is a continuation application of U.S. patent application Ser. No. 14/547,258, filed Nov. 19, 2014, now U.S. Pat. No. 9,167,982 issued on Oct. 27, 2015, which is a continuation application of U.S. patent application Ser. No. 14/189,643, filed Feb. 25, 2014, now U.S. Pat. No. 8,918,158, which is a continuation application of U.S. patent application Ser. No. 13/858,715, filed on Apr. 8, 2013, now U.S. Pat. No. 8,700,119 issued on Apr. 15, 2014, which is a continuation application of U.S. patent application Ser. No. 12/376,270, filed on Feb. 3, 2009, now U.S. Pat. No. 8,417,313 issued on Apr. 9, 2013, which is a 371 national stage application of Patent Cooperation Treaty Application No. PCT/CH2007/000380 filed Aug. 3, 2007, entitled METHOD AND DEVICE FOR DETERMINING AND PRESENTING SURFACE CHARGE AND DIPOLE DENSITIES ON CARDIAC WALLS, which in turn claims priority to Swiss Patent Application 1251/06 filed Aug. 3, 2006, which are incorporated herein by reference.


FIELD OF INVENTION
The invention relates to a method, a system, a computer program and a device for determining the surface charge and/or dipole densities on heart walls in order to locate the origin(s) of cardiac arrhythmias.
BACKGROUND
For localizing the origin(s) of cardiac arrhythmias it is common practice to measure the electric potentials located on the inner surface of the heart by electrophysiological means within the patient's heart. For example, for this purpose electrode catheters can be inserted into the heart and moved around while recording cardiac potentials during normal heart rhythm or cardiac arrhythmia. If the arrhythmia has a regular activation sequence, the timing of the electric activation measured in voltages at the site of the electrode can be integrated when moving the electrode around during the arrhythmia, to create a three dimensional map of the electric activation. By doing this, information on the localization of the source of arrhythmia(s) and mechanisms, i.e., reentry circuits, can be diagnosed to initiate or guide treatment (radiofrequency ablation).
This mapping procedure is often aided by computer systems generating three dimensional maps of catheter positions by localizing the catheter with the help of magnetic fields (the so called Carto System) or transthoracic impedances (by Localisa and NavX). Because all the points of such maps are obtained by electrode positions in contact with the cardiac surface, this mapping system is called contact mapping. It has the inherent limitation that cardiac activation can only be assessed simultaneously at the points in contact with the myocardium. Hence, an instant map of the entire cardiac activation is impossible because the entire heart chamber cannot be contacted without compromising blood circulation. An instant mapping of the simultaneous electric activation of the heart chamber, however, might be of advantage in unstable arrhythmias of short duration, rendering the mapping procedures (moving the electrode around during the arrhythmia) too long. In addition, an instant map of cardiac electric activation might be of advantage during irregular arrhythmias or arrhythmias with non-constant activation sequences that render integration of activation times from contact mapping impossible. Finally, instant maps of cardiac activation are probably also faster and easier obtained, than a contact map generated by time consuming catheters movements to different areas of the heart in all sorts of cardiac arrhythmias.
The disadvantage of contact mapping can be overcome by “non-contact mapping”, which allows for mapping cardiac activation of a heart chamber simultaneously without contact to the cardiac wall. For this purpose, for instance, a multi electrode array mounted on an inflatable balloon can be inserted into the heart. The geometry of the heart chamber is obtained either (i) by reconstruction of a contact map, which is obtained from integration of movements with an electrode catheter within the heart chamber, or (ii) by importing imaging data from computed tomography or MRI (magnetic resonance imaging).
Once the geometry of the cardiac chamber is outlined in a map the information of a simultaneous recording of cardiac farfield potentials (unipoles) by the multi electrode array can be extrapolated to the desired cardiac map using advanced mathematical methods. This non-contact mapping has the advantage that it provides the entire electric activation measured by farfield unipolar potentials either in sinus rhythm or during arrhythmia without the need for moving an electrode catheter around the cardiac chamber. This allows for a beat to beat analysis of cardiac activation and, therefore, unstable, irregular or multifocal arrhythmias can be tracked and treated. However, the disadvantage of non-contact mapping is that it relies on farfield potentials, which do not allow for the same precision in localization as contact mapping (i.e. measuring local electrograms (potentials) of cardiac activation by touching the endocardium at the site of interest with a mapping electrode).
Furthermore, non-contact mapping is more prone to artifact generation and interference from potentials generated by cardiac re-polarization and adjacent heart chambers (atria/ventricles). These drawbacks can be overcome to a certain extent with several filtering techniques. One the other side, in many cases these drawbacks also render the localization of cardiac arrhythmias a time-consuming frustrating intervention.
Therefore, the advantages of non-contact mapping, i.e. the instant cardiac activation maps, have to be balanced against the disadvantages, i.e. the decreased spatial resolution due to recording of far field signals, filtering of artifacts, etc.
Finally, another method for the non-invasive localization of cardiac arrhythmias is body surface mapping. In this technique multiple electrodes are attached to the entire surface of the thorax and the information of the cardiac electrograms (surface ECG) is measured in voltages integrated to maps of cardiac activation. Complex mathematical methods are required in order to determine the electric activation in a heart model, for instance, one obtained from CT or MRI imaging giving information on cardiac size and orientation within the thoracic cavity.
The disadvantage of both mapping methods, i.e. contact and non-contact types, is the representation of the electric activity of the heart by means of potentials, that are the result of a summation of electric activities of many cardiac cells. The integration of all these local electric ion charges generated by the cardiac cells provides for the potentials that are measured by current mapping systems.
Therefore, it is an object of the present invention to provide a method, a system, a program and a device for improving precision, accuracy and spatial resolution of cardiac activation mapping, when compared to prior art systems.
SUMMARY OF INVENTION
It was surprisingly found that the use of surface charge and/or dipole densities and in particular their distribution in a heart chamber is a much better indicator of cardiac arrhythmias than electric potentials in the heart.
In a first aspect, the present invention relates to a method for determining is a database table of surface charge densities (ρ) of at least one given heart chamber, the surface charge density information comprising a table (data values) ρ(P′, t), wherein:

    
    
        i) the position P′=(x′,y′,z′) of a point at the wall of the heart is defined in x, y, z-coordinates,
        ii) t is the time of measurement for said surface charge density, and
        iii) ρ is the surface charge density at said time t and said position P′ derived from a measured electric potential from a given heart chamber,
    
    


comprising the following steps:

    
    
        a) measuring and/or calculating one or more electric potential(s) Ve in one or more position(s) P at a given time t, and
        b) transforming Ve into said charge density ρ(P′,t) by using an algorithm suitable for transforming an electric potential into surface charge density.
    
    


In another aspect, the present invention relates to a method for determining a database table of dipole densities ν(P′,t) of at least one given heart chamber, the dipole density information comprising a table (data values) ν(P′, t), wherein:

    
    
        i) the position P′=(x′,y′,z′) of a point at the wall of the heart is defined in x, y, z-coordinates,
        ii) t is the time of measurement for said dipole density, and
        iii) ν is the dipole density at said time t and said position P′ derived from a measured electric potential Ve from a given heart chamber,
    
    


comprising the following steps:

    
    
        a) measuring and/or calculating one or more electric potential(s) Ve in one or more positions P at a given time t, and
        b) transforming Ve into said dipole density ν(P′,t) by using an algorithm suitable for transforming an electric potential into surface charge density.
    
    


Preferably, the electric potential(s) Ve can be determined by contact mapping. Equally preferred the electric potential(s) Ve can be determined by non-contact mapping.
In one embodiment, the above mentioned algorithm method for transforming said Ve into surface charge density (ρ) or dipole density (ν) in step b) above employs the boundary element method (BEM).
The geometry of the probe electrode can be ellipsoidal or spherical.
In one embodiment, the measured potential(s) Ve can be transformed into surface charge densities p using the following equation:




  
    
      
        
          
            V
            e
          
          ⁡
          
            (
            P
            )
          
        
        =
        
          
            -
            
              1
              
                4
                ⁢
                π
              
            
          
          ⁢
          
            
              ∫
              
                S
                e
              
            
            ⁢
            
              
                
                  ρ
                  ⁡
                  
                    (
                    
                      P
                      ′
                    
                    )
                  
                
                
                  
                  
                    
                      P
                      ′
                    
                    -
                    P
                  
                  
                
              
              ⁢
              
                
              
              ⁢
              
                d
                
                  σ
                  ⁡
                  
                    (
                    
                      P
                      ′
                    
                    )
                  
                
              
            
          
        
      
    
    
      
        (
        4
        )
      
    
  




wherein:

Se=surface of endocardium;
P′=integration variable running over the entire cardiac wall; and
P=Position of the measuring electrode.
In another embodiment, the measured potential(s) Ve can be transformed into dipole densities ν using the following equation:




  
    
      
        
          
            V
            e
          
          ⁡
          
            (
            P
            )
          
        
        =
        
          
            1
            
              4
              ⁢
              π
            
          
          ⁢
          
            
              ∫
              
                S
                e
              
            
            ⁢
            
              
                υ
                ⁡
                
                  (
                  
                    P
                    ′
                  
                  )
                
              
              ⁢
              
                ∂
                
                  ∂
                  
                    n
                    
                      P
                      ′
                    
                  
                
              
              ⁢
              
                1
                
                  
                  
                    P
                    -
                    
                      P
                      ′
                    
                  
                  
                
              
              ⁢
              
                
              
              ⁢
              
                d
                
                  σ
                  ⁡
                  
                    (
                    
                      P
                      ′
                    
                    )
                  
                
              
            
          
        
      
    
    
      
        (
        5
        )
      
    
  




wherein:

Se=surface of endocardium;
P′=integration variable running over the entire cardiac wall; and
P=Position of the measuring electrode.
According to a further aspect of the present invention, provided is a system for determining a table of surface charge densities ρ(P′, t) of a given heart chamber, comprising:

    
    
        a) one unit for measuring and recording at least one electric potential Ve at a given position P,
        b) one aid-converter for converting the measured electric potentials into digital data,
        c) a processor that transforms the digital voltage data into digital surface charge density data, and
        d) a memory that stores the at least one electric potential Ve and the transformed digital surface charge density data.
    
    


In some embodiments, the measuring and recording unit comprises electrodes configured to measure an electric potential Ve when brought into contact with at least one part of the heart chamber.
In some embodiments, the measuring and recording unit comprises electrodes configured to measure an electric potential Ve when not in contact with at least one part of the heart chamber.
The system can also comprise an imaging unit that represents the surface charge densities ρ(P′, t) as a 2-dimensional image or time-dependent sequence of images.
The system can comprise an imaging unit that represents the surface charge densities ρ(P′, t) as a 3-dimensional image or time-dependent sequence of images.
In accordance with another aspect of the invention, provided is a system that generates a table of dipole densities ν(P′, t) of a given heart chamber, comprising:

    
    
        a) a measuring and recording unit that measures and records data used to determine at least one electric potential Ve at a given position P,
        b) an a/d-converter that converts the at least one electric potentials Ve into digital voltage data,
        c) a processor that transforms the digital voltage data into dipole charge density data, and
        d) a memory that stores the at least one electric potential Ve and the transformed dipole charge density data.
    
    


The measuring and recording unit can comprise electrodes configured to measure an electric potential Ve when brought into con-tact with at least one part of the heart chamber.
The measuring and recording unit can comprise electrodes configured to measure an electric potential Ve when not in contact with at least one part of the heart chamber.
The system can further comprise an imaging unit that represents the dipole densities ν(P′, t) as a 2-dimensional image or time-dependent sequence of images.
The system can further comprise an imaging unit that represents the dipole densities ν(P′, t) as a 3-dimensional image or time-dependent sequence of images.
The system can be configured to implement the above cited methods of the invention.
In a further aspect, the present invention is directed to a computer program comprising instructions for implementing a method of the present invention.
In a further aspect, the computer program of the invention can comprise instructions implementing a system of the invention.
The computer program of the present invention can comprise a computer readable program code executable by a processor, where the method can include starting program after booting a computer and/or a system in accordance with the invention.
A further aspect of the invention relates to a device for implementing a method according to the invention, comprising at least one an electrode for measuring the electrode potential Ve using the method of contact mapping and/or using the method of non-contact mapping, at least one processing unit for generating and transforming Ve into said surface charge density ρ(P′, t) and/or dipole density ν(P′, t) for presenting on a display.



DRAWINGS
FIG. 1 is an exemplary embodiment of a mapping system, according to aspect of the present invention;
FIG. 2 is an exemplary embodiment of a computer architecture forming part of the mapping system of FIG. 1;
FIG. 3 is an example embodiment of a method of determining and storing surface charge densities, in accordance with aspects of the present invention; and
FIG. 4 is an example embodiment of a method of determining and storing dipole densities, in accordance with aspects of the present invention.



DETAILED DESCRIPTION OF ILLUSTRATIVE EMBODIMENTS
Research has indicated that the use of the surface charge densities (i.e. their distribution) or dipole densities (i.e. their distribution) to generate distribution map(s) will lead to a more detailed and precise information on electric ionic activity of local cardiac cells than potentials. Surface charge density or dipole densities represent a precise and sharp information of the electric activity with a good spatial resolution, whereas potentials resulting from integration of charge densities provide only a diffuse picture of electric activity. The electric nature of cardiac cell membranes comprising ionic charges of proteins and soluble ions can be precisely described by surface charge and dipole densities. The surface charge densities or dipole densities cannot be directly measured in the heart, but instead must be mathematically and accurately calculated starting from measured potentials. In other words, the information of voltage maps obtained by current mapping systems can be greatly refined when calculating surface charge densities or dipole densities from these.
The surface charge density means surface charge (Coulombs) per unit is area (cm2). A dipole as such is a neutral element, wherein a part comprises a positive charge and the other part comprises the same but negative charge. A dipole might represent the electric nature of cellular membranes better, because in biological environment ion charges are not macroscopically separated.
In order to generate a map of surface charge densities (surface charge density distribution) according to the present invention, the geometry of the given heart chamber must be known. The 3D geometry of the cardiac chamber is typically assessed by currently available and common mapping systems (so-called locator systems) or, alternatively, by integrating anatomical data from CT/MRI scans. FIG. 1 shows an example embodiment of a mapping system 100 that can be used to map a heart 12 of a human 10. Mapping system 100 can include a computer 110 having known types of input devices and output devices, such as a display 120 and printer 130, and a probe system 140. For the measurement of potentials the non-contact mapping method a probe electrode 142 will be used, which is connected to the computer 110 via a cable and forms part of probe system 140. The probe electrode 142 may be a multi-electrode array with elliptic or spherical shape. The spherical shape has certain advantages for the subsequent data analysis. But also other types or even several independent electrodes could be used to measure Ve. For example, when considering, for example, the ventricular cavity within the endocardium and taking a probe electrode with a surface SP, which is located in the blood, it is possible to measure the potential V(x,y,z) at point x,y,z on the surface SP. In order to calculate the potential at the endocardial surface Se the Laplace equation:




  
    
      
        
          Δ
          ⁢
          
            
          
          ⁢
          V
        
        =
        
          
            
              (
              
                
                  
                    ∂
                    2
                  
                  
                    ∂
                    
                      x
                      2
                    
                  
                
                +
                
                  
                    ∂
                    2
                  
                  
                    ∂
                    
                      y
                      2
                    
                  
                
                +
                
                  
                    ∂
                    2
                  
                  
                    ∂
                    
                      z
                      2
                    
                  
                
              
              )
            
            ⁢
            
              
            
            ⁢
            V
          
          =
          0
        
      
    
    
      
        (
        1
        )
      
    
  




needs to be solved, wherein V is the potential and x,y,z denote the three dimensional coordinates. The boundary conditions for this equation are V(x,y,z)=VP(x,y,z) on SP, wherein VP is the potential on surface of the probe.

The solution is an integral that allows for calculating the potential V(x′y′z′) at any point x′y′z′ in the whole volume of the heart chamber that is filled with blood. For calculating said integral numerically a discretisation of the cardiac surface is necessary is and the so called boundary element method (BEM) has to be used.
The boundary element method is a numerical computational method for solving linear integral equations (i.e. in surface integral form). The method is applied in many areas of engineering and science including fluid mechanics, acoustics, electromagnetics, and fracture mechanics.
The boundary element method is often more efficient than other methods, including the finite element method. Boundary element formulations typically give rise to fully populated matrices after discretisation. This means, that the storage requirements and computational time will tend to grow according to the square of the problem size. By contrast, finite element matrices are typically banded (elements are only locally connected) and the storage requirements for the system matrices typically grow quite linearly with the problem size.
With the above in mind, all potentials VP (x1′,y1′,z1′) on the surface of the probe can be measured. To calculate the potential Ve on the wall of the heart chamber, the known geometry of the surface of the heart chamber must be divided in discrete parts to use the boundary element method. The endocardial potentials Ve are then given by a linear matrix transformation T from the probe potentials VP: Ve=T VP.
After measuring and calculating one or more electric potential(s) Ve of cardiac cells in one or more position(s) P(x,y,z) of the at least one given heart chamber at a given time t. The surface charge density and the dipole density is related to potential according to the following two Poisson equations:




  
    
      
        
          Δ
          ⁢
          
            
          
          ⁢
          
            V
            e
          
        
        =
        
          
            ρ
            ⁡
            
              (
              P
              )
            
          
          ⁢
          
            
              δ
              
                S
                e
              
            
            ⁡
            
              (
              P
              )
            
          
        
      
    
    
      
        (
        2
        )
      
    
  
  
    
      
        
          Δ
          ⁢
          
            
          
          ⁢
          
            V
            e
          
        
        =
        
          
            δ
            
              ∂
              n
            
          
          ⁢
          
            (
            
              
                υδ
                
                  S
                  e
                
              
              ⁡
              
                (
                P
                )
              
            
            )
          
        
      
    
    
      
        (
        3
        )
      
    
  




wherein ρ(P) is the surface charge density in position P=x,y,z, δSe (P) is the delta-distribution concentrated on the surface of the heart chamber Se and ν is the dipole density.

There is a well known relationship between the potential Ve on the surface of the wall of the heart chamber and the surface charge (4) or dipole densities (5).




  
    
      
        
          
            V
            e
          
          ⁡
          
            (
            P
            )
          
        
        =
        
          
            -
            
              1
              
                4
                ⁢
                π
              
            
          
          ⁢
          
            
              ∫
              
                S
                e
              
            
            ⁢
            
              
                
                  ρ
                  ⁡
                  
                    (
                    
                      P
                      ′
                    
                    )
                  
                
                
                  
                  
                    
                      P
                      ′
                    
                    -
                    P
                  
                  
                
              
              ⁢
              
                
              
              ⁢
              
                d
                
                  σ
                  ⁡
                  
                    (
                    
                      P
                      ′
                    
                    )
                  
                
              
            
          
        
      
    
    
      
        (
        4
        )
      
    
  
  
    
      
        
          
            V
            e
          
          ⁡
          
            (
            P
            )
          
        
        =
        
          
            1
            
              4
              ⁢
              π
            
          
          ⁢
          
            
              ∫
              
                S
                e
              
            
            ⁢
            
              
                υ
                ⁡
                
                  (
                  
                    P
                    ′
                  
                  )
                
              
              ⁢
              
                ∂
                
                  ∂
                  
                    n
                    
                      P
                      ′
                    
                  
                
              
              ⁢
              
                1
                
                  
                  
                    P
                    -
                    
                      P
                      ′
                    
                  
                  
                
              
              ⁢
              
                
              
              ⁢
              
                d
                
                  σ
                  ⁡
                  
                    (
                    
                      P
                      ′
                    
                    )
                  
                
              
            
          
        
      
    
    
      
        (
        5
        )
      
    
  




(For a review see Jackson JD. Classical Electrodynamics, 2nd edition, Wiley, New York 1975.)

The boundary element method again provides a code for transforming the potential Ve in formulas 4 and 5 into the desired surface charge densities and dipole densities, which can be recorded in the database.
In another embodiment of the method of the present invention the electric potential(s) Ve is (are) determined by contact mapping. In this case the steps for calculating the electric potential Ve are not necessary, because the direct contact of the electrode to the wall of the heart chamber already provides the electric potential Ve.
In a preferred embodiment of the method of the present invention the probe electrode comprises a shape that allows for calculating precisely the electric potential Ve and, thus, simplifies the calculations for transforming Ve into the desired charge or dipole densities. This preferred geometry of the electrode is essentially ellipsoidal or spherical.
In order to employ the method for determining a database table of surface charge densities of at least one given heart chamber in the context of the present invention, it is preferred to use a system comprising at least:

    
    
        a) one unit for measuring and recording electric potentials V at a given position P(x,y,z) on the surface of a given heart chamber (Contact mapping) or a probe electrode positioned within the heart, but without direct wall contact (noncontact mapping)
        b) one a/d-converter for converting the measured electric potentials into digital data,
        c) one memory to save the measured and/or transformed data, and
        d) one processor unit for transforming the digital data into digital surface charge density or dipole density data.
    
    


It is noted that numerous devices for localizing and determining electric potentials of cardiac cells in a given heart chamber by invasive and non-invasive methods are well known in the art and have been employed by medical practitioners over many years. Hence, the method, system, and devices of the present invention do not require any particular new electrodes for implementing the best mode for practicing the present invention. Instead, the invention provides a new and advantageous processing of the available data that will allow for an increase in precision, accuracy and spatial resolution of cardiac activation mapping when compared to prior art systems based on electric surface potentials in the heart only. In the near future, the present invention will allow for providing superior diagnostic means for diagnosing cardiac arrhythmias and electric status of heart cells including metabolic and functional information.
FIG. 2 provides an example embodiment of a computer architecture 200 that can form part of mapping system 100. Architecture 200 includes standard interface modules 210 for probe system 140 (and electrode 142) and standard interface modules 220 for interfacing with output devices 120, 130. The computer includes at least one processor 240 and at least one computer memory 250. The foregoing are generally known, however the present invention further includes an electrical potential to surface charge density and/or dipole density converter module 230. Module 230 includes instructions necessary for caring out the methods described herein, when executed by processor 240, wherein the results of such processing are stored in memory 250—as would be understood by one skilled in the art having the benefit of this disclosure.
FIG. 3 and FIG. 4 summarize methods for determining and storing surface charge densities and dipole densities in accordance with aspects of the present invention, respectively, which have been described in detail above.
In method 300 of FIG. 3, in step 302, mapping system 100 is used to measure and/or calculate one or more electric potential(s) Ve into one or more position(s) P within a heart chamber at a given time t. In step 304, Ve is transformed into a surface charge density ρ(P′,t). In step 306, the surface charge density ρ(P′,t) is stored in a database table. The method is repeated if there is another P, in step 308.
In method 400 of FIG. 4, in step 402, mapping system 100 is used to measure and/or calculate one or more electric potential(s) Ve in one or more position(s) P within a heart chamber at a given time t. In step 404, Ve is transformed into said dipole density ν(P′,t) by using an algorithm suitable for transforming an electric potential into surface charge density. In step 406, the dipole density ν(P′,t) is stored in a database table. The method is repeated if there is another P, in step 408.
While the foregoing has described what are considered to be the best mode and/or other preferred embodiments, it is understood that various modifications may be made therein and that the invention or inventions may be implemented in various forms and embodiments, and that they may be applied in numerous applications, only some of which have been described herein. It is intended by the following claims to claim that which is literally described and all equivalents thereto, including all modifications and variations that fall within the scope of each claim.

## Claims

1. A cardiac activity mapping system, comprising:
at least a first electrode configured to record electrical potential data Ve when not in contact with any wall of a heart chamber;
a display apparatus; and
a special purpose computer configured to:
transform the recorded electrical potential data Ve into cellular membrane density data as a distribution across an area of an endocardial surface of the heart chamber;
generate a map of the distribution of cellular membrane density data; and
display the map on the display apparatus,

wherein the cellular membrane density data comprises at least one of dipole density data or surface charge density data.

2. The system according to claim 1, wherein the cellular membrane density data comprises both dipole density data and surface charge density data.

3. The system according to claim 1, wherein the first electrode is further configured to record electrical potential data Ve when in contact with at least a portion of a wall of a heart chamber.

4. The system according to claim 1, further comprising at least a second electrode configured to record electrical potential data Ve when in contact with at least a portion of a wall of a heart chamber.

5. The system according to claim 4, wherein the second electrode is further configured to record electrical potential data Ve when not in contact with a wall of a heart chamber.

6. The system according to claim 1, wherein the area of the endocardial surface comprises at least a portion of the endocardial surface of the left atrium.

7. The system according to claim 1, wherein the system comprises a probe comprising the at least the first electrode.

8. The system according to claim 7, wherein the probe comprises an array comprising the first electrode and at least a second electrode, and wherein the array comprises a geometry selected from the group consisting of: ellipsoid; sphere; and combinations thereof.

9. The system according to claim 1, wherein the map displayed by the special purpose computer comprises a time-dependent sequence of images.

10. The system according to claim 1, wherein the special purpose computer is configured to transform the electric potential data Ve into the cellular membrane data at positions P′ using a boundary element method (BEM), where P′ is a position on the endocardial surface derived from a measured electric potential data Ve at a position P.

11. The system according to claim 1, further comprising an analog-to-digital (A/D) converter and a processor, wherein the A/D converter is configured to convert the electrical potential data Ve into digital voltage data, and the processor is configured to transform the digital voltage data into digital cellular membrane data.

12. The system according to claim 1, further comprising at least one computer memory configured to store at least one of the electric potential data Ve and the cellular membrane data.

13. The system according to claim 1, further comprising a geometry assessing device configured to assess a 3D geometry of the heart chamber.

14. The system according to claim 13, wherein the geometry assessing device comprises a device selected from the group consisting of: mapping system; CT scanner; MRI; and combinations thereof.

15. A method of mapping cardiac activity, comprising:
providing at least a first electrode, a display apparatus, and a special purpose computer and cooperatively performing a cardiac activity mapping and display method, including:
recording electrical potential data Ve by the first electrode when not in contact with any wall of a heart chamber;
transforming, by the special purpose computer, the recorded electrical potential data Ve into cellular membrane density data as a distribution across an area of an endocardial surface of the heart chamber;
generating, by the special purpose computer, a map of the distribution of cellular membrane density data; and
displaying the map on the display apparatus,
wherein the cellular membrane density data comprises at least one of dipole density data or surface charge density data.

16. The method according to claim 15, wherein the cellular membrane density data comprises both dipole density data and surface charge density data.

17. The method according to claim 15, further comprising recording electrical potential data Ve by the first electrode when in contact with at least a portion of a wall of a heart chamber.

18. The method according to claim 15, further comprising providing at least a second electrode and recording electrical potential data Ve by the second electrode when in contact with at least a portion of a wall of a heart chamber.

19. The method according to claim 18, further comprising recording electrical potential data Ve by the second electrode when not in contact with a wall of a heart chamber.

20. The method according to claim 15, wherein the area of the endocardial surface comprises at least a portion of the endocardial surface of the left atrium.

21. The method according to claim 15, wherein the system comprises a probe comprising the at least the first electrode.

22. The method according to claim 21, wherein the probe comprises an array comprising the first electrode and at least a second electrode, and wherein the array comprises a geometry selected from the group consisting of: ellipsoid; sphere; and combinations thereof.

23. The method according to claim 15, wherein displaying the map comprises displaying a time-dependent sequence of images.

24. The method according to claim 15, wherein transforming the recorded electrical potential data Ve into cellular membrane data includes the special purpose computer transforming the electric potential data Ve into the cellular membrane data at positions P′ using a boundary element method (BEM), where P′ is a position on the endocardial surface derived from a measured electric potential data Ve at a position P.

25. The method according to claim 15, wherein the special purpose computer comprises an analog-to-digital (A/D) converter and a processor, and transforming the recorded electrical potential data Ve into cellular membrane data includes the A/D converter converting the electrical potential data Ve into digital voltage data and the processor transforming the digital voltage data into digital cellular membrane data.

26. The method according to claim 15, wherein the special purpose computer comprises at least one computer memory and the method includes storing at least one of the electric potential data Ve and the cellular membrane data in the at least one computer memory.

27. The method according to claim 15, wherein the special purpose computer comprises a geometry assessing device and the method includes assessing a 3D geometry of the heart chamber.

28. The method according to claim 27, wherein the geometry assessing device comprises a device selected from the group consisting of: mapping system; CT scanner; MRI; and combinations thereof.