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Lead selection: old and new methods for locating the most electrocardiogram information.
Donnelly, Mark P; Finlay, Dewar D; Nugent, Chris D; Black, Norman D.
Afiliação
  • Donnelly MP; School of Computing and Mathematics, Computer Science Research Institute, University of Ulster, Northern Ireland. mp.donnelly@ulster.ac.uk
J Electrocardiol ; 41(3): 257-63, 2008.
Article em En | MEDLINE | ID: mdl-18433617
ABSTRACT
The present article summarizes the work presented in several key studies over the past 3 decades in the area of limited lead selection. Specifically, we summarize the pioneering research of those investigators searching for the most "signal" information and those searching for the most "diagnostic" information. Initially, we present the work conducted by Barr et al and, later, Lux et al who investigated body surface potential maps to locate those recording sites containing the most signal information that subsequently facilitated the estimation of the electrical potentials at all other areas of the thoracic surface. Subsequently, the discussion focuses on the early work conducted by Kornreich et al, who used statistical methods to identify those recording sites containing optimal measurement features to improve upon the identification of different disease types. In addition to the aforementioned work, an overview of more recent complementary work is summarized.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Diagnóstico por Computador / Mapeamento Potencial de Superfície Corporal / Eletrocardiografia / Eletrodos Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2008 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Diagnóstico por Computador / Mapeamento Potencial de Superfície Corporal / Eletrocardiografia / Eletrodos Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2008 Tipo de documento: Article