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AI Biotech/Diagnostics: Cardio
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Application US20190332729
Published 2019-10-31
Calibration Of Simulated Cardiograms
Systems are provided for generating data representing electromagnetic states of a heart for medical, scientific, research, and/or engineering purposes. The systems generate the data based on source configurations such as dimensions of, and scar or fibrosis or pro-arrhythmic substrate location within, a heart and a computational model of the electromagnetic output of the heart. The systems may dynamically generate the source configurations to provide representative source configurations that may be found in a population. For each source configuration of the electromagnetic source, the systems run a simulation of the functioning of the heart to generate modeled electromagnetic output (e.g., an electromagnetic mesh for each simulation step with a voltage at each point of the electromagnetic mesh) for that source configuration. The systems may generate a cardiogram for each source configuration from the modeled electromagnetic output of that source configuration for use in predicting the source location of an arrhythmia.
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- 1. A method performed by a computing system for identifying simulated cardiograms that are similar to a patient cardiogram, the simulated cardiograms generated based on simulated pacings and the patient cardiogram generated based on a patient pacing of a patient, the method comprising:
identifying first simulated cardiograms whose simulated pacings are similar to the patient pacing; identifying, from the first simulated cardiograms, second simulated cardiograms generated based on a simulated heart with a simulation orientation that is similar to a patient orientation of the patient's heart; identifying, from the second simulated cardiograms, third simulated cardiograms that represent action potentials that are similar to the action potential represented by the patient cardiogram; and identifying, from the third simulated cardiograms, calibrated simulated cardiograms that represent conduction velocities that are similar to the conduction velocity represented by the patient cardiogram.
- 13. A method performed by a computing system for identifying simulated cardiograms that are similar to a patient cardiogram, the method comprising:
determining morphological similarity of simulated cardiograms to the patient cardiogram based on morphology; and identifying similar simulated cardiograms based on morphological similarity.
- 21. One or more computing systems for identifying simulated cardiograms that are similar to a patient cardiogram, the one or more computing systems comprising:
one or more computer-readable storage mediums for storing computer-executable instructions for controlling the one or more computing systems to:
determine orientation similarity of simulated cardiograms to the patient cardiogram based on orientation;
determine electrophysiological similarity of simulated cardiograms to the patient cardiogram; and
identify similar simulated cardiograms based on orientation similarity and electrophysiological similarity; and
one or more processors for executing the computer-executable instructions stored in the one or more computer-readable storage mediums.
- 27. A method performed by a computing system for mapping simulated cardiograms to patient cardiograms of a patient, the method comprising:
identifying simulated cardiograms that match the patient cardiograms based on configuration parameters and pacing locations; training a mapping function to map the identified simulated cardiograms to the patient cardiograms; and applying the trained mapping function to simulated cardiograms to generate transformed simulated cardiograms.
- 29. A method performed by one or more computing systems for calibrating the orientation of a simulated vectorcardiogram (“VCG”) to a patient VCG, the method comprising:
displaying a representation of the simulated VCG; displaying a representation of the patient VCG; receiving from a user an indication to rotate one of the displayed representations; receiving from the user an indication that the rotated representation and the other representation are aligned; and generating a transformation matrix based on rotation of the rotated representation.
