Literature DB >> 17282393

Principal Component Regression Approach for QT Variability Estimation.

P Karjalainen1, M Tarvainen, T Laitinen.   

Abstract

New algorithm for quantifying the variation in the QT interval of ECG recording is presented. The algorithm is based on the Principal Component Regression where the eigenvectors of the data correlation matrix are calculated. The eigenvectors are then used for calculation of the principal components and one of them is selected to represent the information about T wave variation. The algorithm is tested using high speed ECG recording.

Entities:  

Year:  2005        PMID: 17282393     DOI: 10.1109/IEMBS.2005.1616624

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  1 in total

1.  ECG Multilead QT Interval Estimation Using Support Vector Machines.

Authors:  Jhosmary Cuadros; Nelson Dugarte; Sara Wong; Pablo Vanegas; Villie Morocho; Rubén Medina
Journal:  J Healthc Eng       Date:  2019-04-15       Impact factor: 2.682

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.