Semantic Segmentation of 12-Lead ECG Using 1D Residual U-Net with Squeeze-Excitation Blocks

Semantic Segmentation of 12-Lead ECG Using 1D Residual U-Net with Squeeze-Excitation Blocks

Analyzing biomedical data is a complex task that requires specialized knowledge. The development of knowledge and technology in the field of deep machine learning creates an opportunity to try and transfer human knowledge to the computer. In turn, this fact influences the development of systems for...

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Bibliographic Details
Main Authors: Konrad Duraj, Natalia Piaseczna, Paweł Kostka, Ewaryst Tkacz
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Applied Sciences
Subjects:
ECG
signal segmentation
deep learning
Online Access:https://www.mdpi.com/2076-3417/12/7/3332

Internet

https://www.mdpi.com/2076-3417/12/7/3332

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