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SYSTEM AND METHOD FOR IDENTIFYING CARDIAC ARRHYTHMIAS WITH DEEP NEURAL NETWORKS
专利权人:
General Electric Company
发明人:
Weijia Lu,Joel Xue,Shuyan Gu,Jie Shuai,Lifei Hu
申请号:
US16210688
公开号:
US20200178825A1
申请日:
2018.12.05
申请国别(地区):
US
年份:
2020
代理人:
摘要:
A system for identifying arrhythmias based on cardiac waveforms includes a storage system storing a trained deep neural network system, wherein the trained deep neural system includes a trained representation neural network and a trained classifier neural network. A processing system is communicatively connected to the storage system and configured to receive cardiac waveform data for a patient, identify a time segment in the cardiac waveform data, and transform the time segment into a spectrum image. The processing system is further configured to generate, with the representation neural network, a latent representation from the spectrum image, and then to generate, with the classifier neural network, an arrhythmia classifier from the latent representation.
来源网站:
中国工程科技知识中心
来源网址:
http://www.ckcest.cn/home/
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