Deep learning-based ballistocardiography reconstruction algorithm on the optical fiber sensor

Deep learning-based ballistocardiography reconstruction algorithm on the optical fiber sensor

Ballistocardiography (BCG) is a vibration signal related to cardiac activity, which can be obtained in a non-invasive way by optical fiber sensors. In this paper, we propose a modified generative adversarial network (GAN) to reconstruct BCG signals by solving signal fading problems in a Mach-Zehnder...

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Bibliographic Details
Main Authors: Chen, S. (Author), Luo, H. (Author), Lyu, W. (Author), Qu, J. (Author), Tan, F. (Author), Yu, C. (Author), Yu, J. (Author)
Format: Article
Language:English
Published: Optica Publishing Group (formerly OSA) 2022
Subjects:
Ballistocardiography
Ballistocardiography signals
Cardiac activity
Deep learning
Fiber optic sensors
Generative adversarial networks
Hardwares complexity
Interferometers
Modeling performance
Non-invasive way
Optical fibers
Reconstruction algorithms
Signal fading
Signal reconstruction
Test data
Vibration signal
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