A CNN - ELM-Based Method for Ballistocardiogram Classification in a Clinical Environment

2021 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)(2021)

引用 3|浏览1
暂无评分
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...
更多
查看译文
关键词
Optical fiber sensors,Extreme learning machines,System performance,Morphology,Generative adversarial networks,Feature extraction,Sleep apnea
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要