Your browser doesn't support javascript.
loading
Ischemia detection based on HMM beat segmentation and ST segment analysis
Andreão, R. V; Dorizzi, B; Mota, J. C. M; Boudy, J.
Affiliation
  • Andreão, R. V; INT. Evry. FR
  • Dorizzi, B; INT. Evry. FR
  • Mota, J. C. M; Universidade Federal do Ceará. DETI. Fortaleza. BR
  • Boudy, J; INT. Evry. FR
In. IFMBE. Anais do III Congresso Brasileiro de Engenharia Biom‚dica. João Pessoa, IFMBE, 2004. p.1039-1042, ilus, tab.
Monography in En | LILACS | ID: lil-557800
Responsible library: BR408.1
Localization: BR408.1 CD 610.28 C749 2004
ABSTRACT
Thispaper describes an algorithm for ischemia monitoring in ambulatory electrocardiography. It relies on an automatic ST-segment anlysis. Orecise information about ST segment changes are provided by an original hidden Markov models (HMM) aproach for on line beat segmentation. The performance was evaluated on the two-channel European ST T database, according to its ST episode definitions ...
Subject(s)
Key words
Search on Google
Add to My VHL
Print
XML
Collection: 01-internacional Database: LILACS Main subject: Algorithms / Monitoring, Ambulatory / Electrocardiography / Ischemia Type of study: Diagnostic_studies / Prognostic_studies Country/Region as subject: America do sul / Brasil Language: En Year: 2004 Document type: Congress and conference / Monography Country of publication: Brasil
Search on Google
Add to My VHL
Print
XML
Collection: 01-internacional Database: LILACS Main subject: Algorithms / Monitoring, Ambulatory / Electrocardiography / Ischemia Type of study: Diagnostic_studies / Prognostic_studies Country/Region as subject: America do sul / Brasil Language: En Year: 2004 Document type: Congress and conference / Monography Country of publication: Brasil