A system for simulating a medical procedure includes: a physical model of an organ including a sensor mesh; directed at the physical model; a user input device including a distal end inserted within the physical model; a display device; and a simulation controller coupled to the sensor mesh, the camera system, the user input device, and the display device, the simulation controller including a processor and memory storing instructions to cause the processor to: initialize a simulation of the organ; display, on the display device, a state of the simulation; compute a location of the distal end within the physical model of the organ based on contact data from the sensor mesh and images received from the cameras; receive user input from the user input device; update the state of the simulation of the organ in accordance with the user input; and display the updated state of the simulation.

A system for simulating a medical procedure includes: a physical model of an organ including a sensor mesh; directed at the physical model; a user input device including a distal end inserted within the physical model; a display device; and a simulation controller coupled to the sensor mesh, the camera system, the user input device, and the display device, the simulation controller including a processor and memory storing instructions to cause the processor to: initialize a simulation of the organ; display, on the display device, a state of the simulation; compute a location of the distal end within the physical model of the organ based on contact data from the sensor mesh and images received from the cameras; receive user input from the user input device; update the state of the simulation of the organ in accordance with the user input; and display the updated state of the simulation.

A method for reconstructing 12-lead standard electrocardiogram (ECG) system signals using an M lead system, the method comprising recording signals acquired by the 12-lead standard ECG system; recording signals acquired by the M-lead system; and using the recorded signals to train a machine learning model to produce the reconstructed 12-lead standard ECG system signals using the M-lead system.

Method for generating an activation map indicative of a time propagation of an action potential wavefront in a heart of a patient, the method being executed by a control unit and comprising the steps of: acquiring measured electrocardiography, ECG, data of the patient; generating, based on white noise, at least one set of identification parameters, each set of identification parameters identifying respective random ECG data and a respective random activation map that is indicative of a respective time propagation of a random action potential wavefront in the heart of the patient; generating, based on each set of identification parameters, said respective random ECG data; comparing the random ECG data and the measured ECG data to determine if there is correspondence between them; and if there is correspondence between the random ECG data and the measured ECG data, generating the activation map based on the at least one random activation map determined based on the at least one set of identification parameters used to obtain the random ECG data in correspondence with the measured ECG data.

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.

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.

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.

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.

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.

For non-invasive EP mapping, a sparse number of electrodes (e.g., 10 in a typical 12-lead ECG exam setting) are used to generate an EP map without requiring preoperative 3D image data (e.g. MR or CT). An imager (e.g., a depth camera) captures the surface of the patient and may be used to localize electrodes in any positioning on the patient. Two-dimensional (2D) x-rays, which are commonly available, and the surface of the patient are used to segment the heart of the patient. The EP map is then generated from the surface, heart segmentation, and measurements from the electrodes.