ECG BASED ARRHYTHMIA LOCATION IDENTIFICATION AND IMPROVED MAPPING

Systems, devices, and techniques are disclosed for automatically detecting arrhythmia locations. The systems, devices, and techniques include a plurality of body surface electrodes configured to sense electrocardiogram (ECG) data. The systems, devices, and techniques include a processor including a neural network configured to receive a plurality of historical ECG data and corresponding arrhythmia locations determined based on each of the plurality of historical ECG data, train a learning system based on the plurality of historical ECG data and corresponding arrhythmia locations, generate a model based on the learning system. New ECG data may be received from the plurality of body surface electrodes and the processor may provide a new arrhythmia location based on the new ECG data. Additionally, a new coherent mapping adjustment may be provided based on a model that is trained using historical coherent mapping adjustments.