Novel Multichannel Entropy Features and Machine Learning for Early Assessment of Pregnancy Progression Using Electrohysterography-Reference-Cited by-同舟云学术

Novel Multichannel Entropy Features and Machine Learning for Early Assessment of Pregnancy Progression Using Electrohysterography

Author:

Cheng Anyi¹,Yao Yang¹^ORCID,Jin Yibin¹,Chen Chuan²^ORCID,Vullings Rik²^ORCID,Xu Lin³^ORCID,Mischi Massimo²^ORCID

Affiliation:

1. School of Information Science and Technology, ShanghaiTech University, China

2. Department of Electrical Engineering, Eindhoven University of Technology, Netherlands

3. School of Information Science and Technology, ShanghaiTech University, Shanghai, China

Funder

National Natural Science Foundation of China

ShanghaiTech University

ERASysBio+

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering

Link

Reference51 articles.

4. Classification for uterine EMG signals: Comparison between ar model and statistical classification method;diab;Int J Comput Cogn,2007

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