Heart Position Estimation

Abstract

The present invention relates to a method to be performed by a computing device along with an ECG device for estimating an orientation of the heart based on 3-D imaging information taken from a torso, preferably applying a marker element in a process of determining an orientation of a heart, preferably in a torso model of the torso of the human body, more preferably a heart-torso model specifically including data pertaining to the heart of the, preferably human, body, the method being receiving information relating to the human body from a measurement source, such as dimensional measurement information input into the computing device from an input interface or an optical imaging device, preferably a 3D imaging device, the information being information of the exterior of the body, such as imaging information of the exterior of the torso, and determining chest dimensions, such as at the xyphoid position.

The invention claimed is: 
     
         1 . A method performed by a computing device part of or coupled to an ECG device for estimating an orientation of the heart based on 3-D imaging information taken from a human torso, applying a marker element in a process of determining an orientation of a heart of a human body, the method comprising steps of:
 receiving information relating to the human body from a measurement source, such as dimensional measurement information input into the computing device from an input interface or an optical 3D imaging device, the information relating to the human body comprising:
 information of the exterior of the torso; and 
   determining chest dimensions, such as at the xyphoid position.   
     
     
         2 . The method according to  claim 1  further comprising the step of estimating the heart orientation based on the chest dimensions, such as chest depth, chest width, and/or circumference. 
     
     
         3 . The method according to  claim 1  wherein the steps of receiving information relating to the human body comprises the step of receiving imaging information taken from the torso. 
     
     
         4 . The method according to  claim 1  wherein the step of determining chest dimensions further comprises the step of receiving measurement information relating to physical dimensions of the chest from input means or a database. 
     
     
         5 . The method according to  claim 1 , further comprising the step of determining heart dimensions of a reference model to the determined chest dimensions. 
     
     
         6 . The method according to  claim 1 , further comprising the step of determining a position of the xyphoid based on at least one of the shoulder height and the length of the sternum. 
     
     
         7 . The method according to  claim 1 , further comprising the steps of receiving imaging information of a marker element, the marker element being arranged in an area comprising an actual position on the body, from a marker element optical imaging device (OID), the ECG electrodes imaging device and the marker element imaging device being the same imaging device; and,
 performing an image recognition on the imaging information for obtaining a presence determination, of the marker element in the imaging information.   
     
     
         8 . The method according to  claim 1  in which the chest depth and/or heart orientation is used in steps for estimating a torso model or a heart torso model. 
     
     
         9 . The method according to  claim 8  in which the torso model or the heart torso model is based on measuring points such as a cloud of points based on the received information, preferably 3D imaging information. 
     
     
         10 . The method according to  claim 8  which the torso model or heart torso model is based on geometrical assemblies, such as triangles, created based on the cloud of points. 
     
     
         11 . The method according to  claim 1 , further comprising the step of classifying partitions of the received information relating to the human body from a measurement source. 
     
     
         12 . The method according to  claim 1 , further comprising the step of determining at least one angle for a long axis, mitral-tricuspid axis and left basal axis. 
     
     
         13 . The method according to  claim 1 , further comprising the step of determining a rotation of the heart using at least one predetermined axis and angles, such that the cross section fills up about ⅓ of the thorax width. 
     
     
         14 . The method according to  claim 1 , further comprising the step of estimating a heart orientation based on the estimated chest dimensions. 
     
     
         15 . The method according to  claim 1 , further comprising the step of shifting the heart position such that the lower part of the heart coincides with the xiphoid position, the heart being at a predetermined, such as minimal, distance from the chest wall. 
     
     
         16 . The method according to  claim 1 , further comprising the step of applying parameters when determining the position of the heart relating to the body, such as age, existing conditions, weight, fitness, chest width. 
     
     
         17 . The method according to  claim 1 , wherein the method is performed using a heart-torso model of the human body. 
     
     
         18 . The method according to  claim 1 , wherein the method is performed using a heart-torso model including data pertaining to the heart of the human body. 
     
     
         19 . The method according to  claim 3 , wherein the imaging information is 3D imaging information. 
     
     
         20 . The method according to  claim 6 , wherein the step of determining a position of the xiphoid comprises determining a virtual determination of the xiphoid point.