A CNN - ELM-Based Method for Ballistocardiogram Classification in a Clinical Environment
2021 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)(2021)
摘要
The ballistocardiogram (BCG) represents rich signals that have been adopted in various clinical applications. Still, vital signs detection via BCG is a troublesome task because the BCG waveform morphology depends on the measurement device. Additionally, BCG can be different between and within-subjects, hence in this paper, we applied a deep learning-based approach, namely convolutional neural netw...
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关键词
Optical fiber sensors,Extreme learning machines,System performance,Morphology,Generative adversarial networks,Feature extraction,Sleep apnea
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