Abstract: A non-transitory computer readable medium stores instructions that, when executed by at least one processor, cause the at least one processor to perform a method that includes computing a transfer matrix representing a relative influence that each respective electrode location for measuring electrical potentials on a patient's body has on an estimation of electrical potentials for locations on a surface of interest prior to the measuring of electrical potentials at the respective electrode locations and receiving electrical potential measurements measured via a plurality of electrodes at respective electrode locations on the patient's body. The method also includes computing the estimation of electrical potentials for the locations on the surface of interest based at least in part on the received electrical potential measurements and the computed transfer matrix and generating image data representing the estimation of electrical potentials.

Abstract: A non-transitory computer readable medium stores instructions that, when executed by at least one processor, cause the at least one processor to perform a method that includes computing a transfer matrix representing a relative influence that each respective electrode location for measuring electrical potentials on a patient's body has on an estimation of electrical potentials for locations on a surface of interest prior to the measuring of electrical potentials at the respective electrode locations and receiving electrical potential measurements measured via a plurality of electrodes at respective electrode locations on the patient's body. The method also includes computing the estimation of electrical potentials for the locations on the surface of interest based at least in part on the received electrical potential measurements and the computed transfer matrix and generating image data representing the estimation of electrical potentials.

Abstract: A computer-implemented method for electrocardiographic imaging (ECGI) is provided. The method includes computing a transfer matrix, measuring a plurality of electrical potentials, and computing an estimation of electrical potentials on a surface of interest based at least in part on the measured potentials and the computed transfer matrix. The transfer matrix computing step is performed prior to the measuring step.

Abstract: A computer-implemented method for electrocardiographic imaging (ECGI) is provided. The method includes computing a transfer matrix, measuring a plurality of electrical potentials, and computing an estimation of electrical potentials on a surface of interest based at least in part on the measured potentials and the computed transfer matrix. The transfer matrix computing step is performed prior to the measuring step.

Abstract: Noninvasive systems and methods are provided for determining electrical activity for a heart of a living being. A processor is configured to meshlessly compute data that represents heart electrical activity from a set of noninvasively measured body surface electrical potentials. This is accomplished using data that describes a geometric relationship between a plurality of locations corresponding to where the body surface electrical potentials were measured and the heart.

Abstract: Noninvasive systems and methods are provided for determining electrical activity for a heart of a living being. A processor is configured to meshlessly compute data that represents heart electrical activity from a set of noninvasively measured body surface electrical potentials. This is accomplished using data that describes a geometric relationship between a plurality of locations corresponding to where the body surface electrical potentials were measured and the heart.

Abstract: Methods for determining a surface geometry of an object, including determining a first projection matrix based on a first imaging device, determining a second projection matrix based on a second imaging device, obtaining at least one first two-dimensional (2D) image of the object using the first imaging device, obtaining at least one second 2D image of the object using the second imaging device, determining a contour of the object in the first 2D image and the second 2D image, and, based on the at least two contours, the first projection matrix, and the second projection matrix, reconstructing 3D data associated with the surface of the object. In one embodiment, the object can be a heart.

Abstract: A method of sterilizing a hospital room to at least 99.99% sterility is described which employs UV/ozone sterilization. A method of sterilizing sink-traps using UV radiation is described. A method utilizing UV/ozone sterilization and sink-trap sterilization by UV radiation for sterilization of an environment is also described.

Abstract: Methods and systems for computing epicardial surface electric potentials based on measured body surface electric potentials, where the methods and systems include representing at least one geometric relationship between at least one body surface electric potential measuring system and the epicardial surface as a multidimensional matrix, estimating an inverse of the multidimensional matrix based on a Generalized Minimum Residual (GMRes) method, and, based on the inverse matrix and the measured body surface potentials, determining the epicardial surface electric potentials.

Abstract: Methods and systems for determining a surface geometry of an object, including determining a first projection matrix based on a first imaging device, determining a second projection matrix based on a second imaging device, obtaining at least one first two-dimensional (2D) image of the object using the first imaging device, obtaining at least one second 2D image of the object using the second imaging device, determining a contour of the object in the first 2D image and the second 2D image, and, based on the at least two contours, the first projection matrix, and the second projection matrix, reconstructing 3D data associated with the surface of the object. In one embodiment, the object can be a heart.

Abstract: Methods for determining a surface geometry of an object, including determining a first projection matrix based on a first imaging device, determining a second projection matrix based on a second imaging device, obtaining at least one first two-dimensional (2D) image of the object using the first imaging device, obtaining at least one second 2D image of the object using the second imaging device, determining a contour of the object in the first 2D image and the second 2D image, and, based on the at least two contours, the first projection matrix, and the second projection matrix, reconstructing 3D data associated with the surface of the object. In one embodiment, the object can be a heart.

Abstract: A system (10) for determining electrical potentials on an endocardial surface of a heart is provided. The system includes a non-contact, non-expandable, miniature, multi-electrode catheter probe (12), a plurality of electrodes (32) disposed on an end portion (30) thereof, means for determining endocardial potentials (14) based on electrical potentials measured by the catheter probe, a matrix of coefficients that is generated based on a geometric relationship between the probe surface, and the endocardial surface. A method is also provided.

Abstract: A system and method for determining electrical potentials on an endocardial surface of a heart is provided. The system includes a spiral-shaped non-contact, multi-electrode catheter probe, a plurality of electrodes disposed on an end portion thereof, means for determining endocardial potentials based on electrical potentials measured by the catheter probe, a matrix of coefficients that is generated based on a geometric relationship between the probe surface, and the endocardial surface.

Abstract: A system and method is provided for non-invasively determining electrical activity of the heart of a human being. Electrical potentials are measured on the body surface via an electrode vest (12), and a body surface potential map is generated. A matrix of transformation based on the geometry of the torso, the heart, locations of electrodes, and position of the heart within the torso is also determined with the aid of a processor (24), and a geometry determining device (26). The electrical potential distribution over the epicardial surface of the heart is then determined based ona regularized matrix of transformation, and the body surface potential map. Using the epicardial potential distributions, epicardial electrogram, isochronal are also reconstructed, and displayed via an output device (28).

Abstract: Methods and systems for determining a surface geometry of an object, including determining a first projection matrix based on a first imaging device, determining a second projection matrix based on a second imaging device, obtaining at least one first two-dimensional (2D) image of the object using the first imaging device, obtaining at least one second 2D image of the object using the second imaging device, determining a contour of the object in the first 2D image and the second 2D image, and, based on the at least two contours, the first projection matrix, and the second projection matrix, reconstructing 3D data associated with the surface of the object. In one embodiment, the object can be a heart.

Abstract: Methods and systems for computing epicardial surface electric potentials based on measured body surface electric potentials, where the methods and systems include representing at least one geometric relationship between at least one body surface electric potential measuring system and the epicardial surface as a multidimensional matrix, estimating an inverse of the multidimensional matrix based on a Generalized Minimum Residual (GMRes) method, and, based on the inverse matrix and the measured body surface potentials, determining the epicardial surface electric potentials.

Abstract: A system and method is provided for non-invasively determining electrical activity of the heart of a human being. Electrical potentials are measured on the body surface via an electrode vest (12), and a body surface potential map is generated. A matrix of transformation based on the geometry of the torso, the heart, locations of electrodes, and position of the heart within the torso is also determined with the aid of a processor (24), and a geometry determining device (26). The electrical potential distribution over the epicardial surface of the heart is then determined based ona regularized matrix of transformation, and the body surface potential map. Using the epicardial potential distributions, epicardial electrogram, isochronal are also reconstructed, and displayed via an output device (28).