Automatic detection of cardiac structures in cardiac mapping

• Main Authors: YARNITSKY JONATHAN, NAKAR ELAD, LEV IDDO, RAVUNA ELIYUHA, BOTZER LIOR
• Format: Patent
• Language: Chinese; English
• Published: 03.12.2021
• Subjects: DIAGNOSIS; HUMAN NECESSITIES; HYGIENE; IDENTIFICATION; MEDICAL OR VETERINARY SCIENCE; SURGERY

The invention is entitled automatic detection of cardiac structures in cardiac mapping. The invention discloses a system and method for training a neural network to automatically detect a cardiac structure of interest, the system including a processor comprising a neural network training model that receives training data. The training data comprises a first input comprising first electrophysiological data regarding a first cardiac structure received by an electrode of a first catheter positioned within a heart, and a second input comprising a second data relating to the first cardiac structure. The neural network training model generates, as an output, a determination of whether the first cardiac structure is the cardiac structure of interest based on the training data. 本发明题为"心脏标测中心脏结构的自动检测"本发明公开了用于训练神经网络以自动检测感兴趣的心脏结构的系统和方法，该系统包括处理器，该处理器包括接收训练数据的神经网络训练模型。该训练数据包括第一输入和第二输入，该第一输入包括由位于心脏内的第一导管的电极接收的关于第一心脏结构的第一电生理数据，该第二输入包括与该第一心脏结构相关的第二数据。该神经网络训练模型基于该训练数据生成该第一心脏结构是否为感兴趣的心脏结构的确定作为输出。