Systems and methods for generating an ablation map identifying target ablation locations on a heart of a patient are provided. One or more input medical images of a heart of a patient and a voltage map of the heart of the patient are received. An ablation map identifying target ablation locations on the heart is generated using one or more trained machine learning based models based on the one or more input medical images and the voltage map. The ablation map is output.

Various embodiments are described herein for a bipolar catheter that generally comprises: a catheter body having a distal end portion and a proximal end portion; a first electrode at the distal end portion, the first electrode being on a spiral structure for rotational insertion into a physiological target region; a second electrode at the proximal end portion and spaced apart from the first electrode; and first and second electrode terminals spaced apart from one another at the proximal end portion and electrically coupled to the first and second electrodes respectively. The first and second electrodes are configured to function as active and dispersive electrodes respectively, or vice-versa. Also described are various embodiments of methods which generally include coupling the bipolar catheter to a signal generator; inserting the bipolar catheter at a physiological target region; and performing the procedure.

Various embodiments are described herein for a bipolar catheter that generally comprises: a catheter body having a distal end portion and a proximal end portion; a first electrode at the distal end portion, the first electrode being on a spiral structure for rotational insertion into a physiological target region; a second electrode at the proximal end portion and spaced apart from the first electrode; and first and second electrode terminals spaced apart from one another at the proximal end portion and electrically coupled to the first and second electrodes respectively. The first and second electrodes are configured to function as active and dispersive electrodes respectively, or vice-versa. Also described are various embodiments of methods which generally include coupling the bipolar catheter to a signal generator; inserting the bipolar catheter at a physiological target region; and performing the procedure.

Disclosed includes a body surface device for diagnosing locations associated with electrical rhythm disorders to guide therapy. The device can sense electrical signals and determine multiple sites that may be operative in that patient. The patch may encompass the heart regions from where the heart rhythm disorder originates. The patch comprises an array of electrodes configured to detect electrical signals generated by a heart. A controller may determine the locations of interest based on detected electrical signals. The controller is configured to locate these regions relative to the surface patch. The system may be coupled to a sensor or therapy device inside the heart, to guide this device to a region of interest. The controller is further configured to instruct the operator to use the trigger or source information to treat the heart rhythm disorder in an individual using additional clinical data and methods for personalization such as machine learning.

A system includes signal acquisition circuitry and a processing unit. The signal acquisition circuitry is configured to receive multiple intra-cardiac signals acquired by multiple electrodes of an intra-cardiac probe in a heart of a patient. The processing unit is configured to select a group of the intra-cardiac signals, extract a respective most-likely annotation value from each of the intra-cardiac signals in the group, in accordance with a likelihood criterion, identify in the group an intra-cardiac signal whose most-likely annotation value is statistically deviant in the group by more than a predefined measure of deviation, extract, from the intra-cardiac signal having the statistically deviant annotation value, at least a second-most-likely annotation value in accordance with the likelihood criterion, and, responsive to a statistical deviation of the second-most-likely annotation value, select a valid annotation value for the corresponding intra-cardiac signal.

Systems, devices, and methods for electroporation ablation therapy are disclosed, with a protection device for isolating electronic circuitry, devices, and/or other components from a set of electrodes during a cardiac ablation procedure. A system can include a first set of electrodes disposable near cardiac tissue of a heart and a second set of electrodes disposable in contact with patient anatomy. The system can further include a signal generator configured to generate a pulse waveform, where the signal generator coupled to the first set of electrodes and configured to repeatedly deliver the pulse waveform to the first set of electrodes. The system can further include a protection device configured to selectively couple and decouple an electronic device to the second set of electrodes.

Systems, devices, and methods for electroporation ablation therapy are disclosed, with a protection device for isolating electronic circuitry, devices, and/or other components from a set of electrodes during a cardiac ablation procedure. A system can include a first set of electrodes disposable near cardiac tissue of a heart and a second set of electrodes disposable in contact with patient anatomy. The system can further include a signal generator configured to generate a pulse waveform, where the signal generator coupled to the first set of electrodes and configured to repeatedly deliver the pulse waveform to the first set of electrodes. The system can further include a protection device configured to selectively couple and decouple an electronic device to the second set of electrodes.

In an example, a signal segment evaluator can be programmed to evaluate a morphology of at least one electrophysiological signal to identify a signal segment of interest. The morphology of the signal segment of interest can be indicative of an electrophysiological event of a patient during a respective time interval. A reconstruction engine can be programmed to reconstruct electrophysiological signals on a surface of interest within a body of the patient based on the electrophysiological signals measured from an outer surface of the patient and geometry data representing an anatomy of the patient. A map generator can be programmed to generate a map representing the reconstructed electrophysiological signals on the surface of interest for the respective time interval of the signal segment of interest. A target generator can be programmed to identify a target site within the patient's body based on the map for the electrophysiological event.

In an example, a signal segment evaluator can be programmed to evaluate a morphology of at least one electrophysiological signal to identify a signal segment of interest. The morphology of the signal segment of interest can be indicative of an electrophysiological event of a patient during a respective time interval. A reconstruction engine can be programmed to reconstruct electrophysiological signals on a surface of interest within a body of the patient based on the electrophysiological signals measured from an outer surface of the patient and geometry data representing an anatomy of the patient. A map generator can be programmed to generate a map representing the reconstructed electrophysiological signals on the surface of interest for the respective time interval of the signal segment of interest. A target generator can be programmed to identify a target site within the patient's body based on the map for the electrophysiological event.

A quantum cardiac electrophysiology device comprising an array of consumable half-ferromagnetic active electrodes connected to an array of semiconductor of half-ferromagnetic selector switches over an array of half-ferromagnetic resistors to a neutral charges out of the heart, by casting and/or inking the arrhythmic substrate of an arrhythmia by the electrophysiology quantum entan- glement of said arrhythmic substrate.