Noise reduction of intracardiac electrocardiogram using autoencoder, and utilization and refinement of intracardiac and body surface electrocardiogram using deep learning training loss function

摘要

PROBLEM TO BE SOLVED: To reduce the noise of an intracardiac electrocardiogram by using an autoencoder, and to utilize and refine an intracardiac and body surface electrocardiogram by using one or more deep learning training loss functions. Provide systems and methods. The system and method are noise-removed by means of a memory for storing processor executable code for a noise-removed auto-encoder, receiving raw signal data including signal noise, and noise-removed auto-encoder. Encoding the raw signal data to generate a potential representation by performing the elimination auto-encoder operation The raw signal data is encoded and restored without signal noise by the noise-removed auto-encoder. Decrypting potential representations to produce clean signal data, and one or more processors coupled to its memory to execute processor executable code to do so. And. [Selection diagram] Fig. 1