Combination of R-R Interval and Crest Time in Assessing Complexity Using Multiscale Cross-Approximate Entropy in Normal and Diabetic Subjects.

Xiao, Ming-Xia; Wei, Hai-Cheng; Xu, Ya-Jie; Wu, Hsien-Tsai; Sun, Cheuk-Kwan

Xiao, Ming-Xia; Wei, Hai-Cheng; Xu, Ya-Jie; Wu, Hsien-Tsai; Sun, Cheuk-Kwan.

Afiliación

Xiao MX; School of Electrical and Information Engineering, North Minzu University, No. 204 North-Wenchang St., Xixia District, Yinchuan 750021, China.
Wei HC; School of Computer and Information, Hefei University of Technology, No. 193, Tunxi Rd., Hefei 230009, China.
Xu YJ; School of Electrical and Information Engineering, North Minzu University, No. 204 North-Wenchang St., Xixia District, Yinchuan 750021, China.
Wu HT; School of Electrical and Information Engineering, North Minzu University, No. 204 North-Wenchang St., Xixia District, Yinchuan 750021, China.
Sun CK; Department of Electrical Engineering, National Dong Hwa University, No. 1, Sec. 2, Da Hsueh Rd., Shoufeng, Hualien 97401, Taiwan.

Entropy (Basel) ; 20(7)2018 Jun 27.

Article en En | MEDLINE | ID: mdl-33265587

Palabras clave

R-R interval; crest time; cross-approximate entropy; diabetes; multiscale entropy (MSE)

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Entropy (Basel) Año: 2018 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza

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