IRN-MLSQR: An improved iterative reweight norm approach to the inverse problem of electrocardiography incorporating factorization-free preconditioned LSQR.

Bin, Guanghong; Wu, Shuicai; Shao, Minggang; Zhou, Zhuhuang; Bin, Guangyu

Bin, Guanghong; Wu, Shuicai; Shao, Minggang; Zhou, Zhuhuang; Bin, Guangyu.

Afiliação

Bin G; College of Life Science and Bioengineering, Beijing University of Technology, Beijing, China.
Wu S; College of Life Science and Bioengineering, Beijing University of Technology, Beijing, China.
Shao M; College of Life Science and Bioengineering, Beijing University of Technology, Beijing, China.
Zhou Z; College of Life Science and Bioengineering, Beijing University of Technology, Beijing, China.
Bin G; College of Life Science and Bioengineering, Beijing University of Technology, Beijing, China. Electronic address: guangyubin@bjut.edu.cn.

J Electrocardiol ; 62: 190-199, 2020.

Article em En | MEDLINE | ID: mdl-32977208

Assuntos

Eletrocardiografia; Modelos Cardiovasculares; Algoritmos; Animais; Cães; Coração

Palavras-chave

Factorization-free preconditioned LSQR (MLSQR); Inverse problem of electrocardiography (ECG); Iterative reweight norm (IRN); L1-norm; Regularization

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Eletrocardiografia / Modelos Cardiovasculares Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Eletrocardiografia / Modelos Cardiovasculares Idioma: En Ano de publicação: 2020 Tipo de documento: Article