Blooming and Contending: Chinese Literature in the Post-Mao Era

Cheung, Dominic; Duke, Michael S.

doi:10.2307/40141901

World Literature Today

1986

DOI: 10.2307/40141901

|View full text |Cite

Blooming and Contending: Chinese Literature in the Post-Mao Era

Dominic Cheung¹,

Michael S. Duke²

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2015

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

The Research of Improved Abnormal ECG Cluster Analysis Algorithm

Cheng

Piao

et al. 2015

AMM

View full text Add to dashboard Cite

In order to solve the problem of ECG being complex, and the problem of abnormal ECG signal analysis standards being not uniform, this paper analyzes Lin Zetao’s clustering algorithm research achievements in the classification of abnormal heart rate. According to the characteristics of the clustering algorithm which is suitable for dealing with the rare data and the large amounts of data, this paper makes the analysis of the method of setting parameters in key process of the application of the clustering algorithm. This paper proposes an accurate clustering algorithm (LCFCM) about abnormal ECG which combines logical judgment, cluster analysis and fuzzy clustering together. Based on the algorithm design requirements, this algorithm perfects the logical judgment criteria and the key technologies of the ECG waveform vector extraction method. Ultimately, the MIT-BIH database is used as the sample to make experiment. The experiment shows that, this paper proposes LCFCM algorithm, whose accurate rate toward the classification of the abnormal heart rate reaches 93%. And at the same time, the good self-adaptive algorithm on different individuals ECG, has good practical value.

show abstract

The Research of Improved Abnormal ECG Cluster Analysis Algorithm

Cheng

Piao

et al. 2015

AMM

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Blooming and Contending: Chinese Literature in the Post-Mao Era

Cited by 1 publication

References 0 publications

The Research of Improved Abnormal ECG Cluster Analysis Algorithm

The Research of Improved Abnormal ECG Cluster Analysis Algorithm

Contact Info

Product

Resources

About