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An effective frequency-domain feature of atrial fibrillation based on time-frequency analysis.
Hu, Yusong; Zhao, Yantao; Liu, Jihong; Pang, Jin; Zhang, Chen; Li, Peizhe.
Affiliation
  • Hu Y; College of Information Science and Engineering, Northeastern University, Shenyang, Liaoning, China.
  • Zhao Y; College of Information Science and Engineering, Northeastern University, Shenyang, Liaoning, China.
  • Liu J; College of Information Science and Engineering, Northeastern University, Shenyang, Liaoning, China. liujihong@ise.neu.edu.cn.
  • Pang J; College of Information Science and Engineering, Northeastern University, Shenyang, Liaoning, China.
  • Zhang C; College of Information Science and Engineering, Northeastern University, Shenyang, Liaoning, China.
  • Li P; College of Information Science and Engineering, Northeastern University, Shenyang, Liaoning, China.
BMC Med Inform Decis Mak ; 20(1): 308, 2020 11 25.
Article in En | MEDLINE | ID: mdl-33239025
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Atrial Fibrillation / Decision Trees / Electrocardiography Type of study: Diagnostic_studies Aspects: Ethics Limits: Humans Language: En Journal: BMC Med Inform Decis Mak Journal subject: INFORMATICA MEDICA Year: 2020 Document type: Article Affiliation country: China Country of publication: Reino Unido
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Atrial Fibrillation / Decision Trees / Electrocardiography Type of study: Diagnostic_studies Aspects: Ethics Limits: Humans Language: En Journal: BMC Med Inform Decis Mak Journal subject: INFORMATICA MEDICA Year: 2020 Document type: Article Affiliation country: China Country of publication: Reino Unido