Learning Seismocardiogram Beat Denoising Without Clean Data
Author:
Affiliation:
1. Georgia Institute of Technology,School of Electrical and Computer Engineering,Atlanta,GA,USA
Funder
Office of Naval Research
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10313339/10313352/10313428.pdf?arnumber=10313428
Reference18 articles.
1. U-net: Convolutional networks for biomedical image segmentation;ronneberger;Medical Image Computing and Computer-Assisted Intervention–MICCAI 2015 18th International Conference,2015
2. Time-Frequency Distribution of Seismocardiographic Signals: A Comparative Study
3. Long Short-Term Memory
4. Convolutional lstm network: A machine learning approach for precipitation nowcasting;shi;Advances in neural information processing systems,2015
5. Synthetic seismocardiogram generation using a transformer-based neural network
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1. A Residual U-Net Neural Network for Seismocardiogram Denoising and Analysis During Physical Activity;IEEE Journal of Biomedical and Health Informatics;2024-07
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