Literature DB >> 11322527

Classification of electrocardiographic P-wave morphology.

J Carlson1, R Johansson, S B Olsson.   

Abstract

The atrial activity of the human heart is normally visible in the electrocardiogram as a P-wave. In patients with intermittent atrial fibrillation, a different P-wave morphology can sometimes be seen, indicating atrial conduction defects. The purpose of this study was to develop a method to discriminate between such P-waves and normal ones. 20 recordings of each type were used in a classification which, based on impulse response analysis of the P-wave and linear discrimination between various parameters, produced a correct classification in 37 of the 40 recordings (sensitivity 95%, specificity 90%).

Entities:  

Mesh:

Year:  2001        PMID: 11322527     DOI: 10.1109/10.915704

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  4 in total

1.  New automated detection method of OSA based on artificial neural networks using P-wave shape and time changes.

Authors:  Khaldon Lweesy; Luay Fraiwan; Natheer Khasawneh; Hartmut Dickhaus
Journal:  J Med Syst       Date:  2009-12-12       Impact factor: 4.460

2.  Detailed ECG analysis of atrial repolarization in humans.

Authors:  Fredrik Holmqvist; Jonas Carlson; Pyotr G Platonov
Journal:  Ann Noninvasive Electrocardiol       Date:  2009-01       Impact factor: 1.468

3.  Variable interatrial conduction illustrated in a hypertrophic cardiomyopathy population.

Authors:  Fredrik Holmqvist; Pyotr G Platonov; Jonas Carlson; Rasmus Havmöller; Johan E P Waktare; William J McKenna; S Bertil Olsson; Carl J Meurling
Journal:  Ann Noninvasive Electrocardiol       Date:  2007-07       Impact factor: 1.468

4.  Wavelet Based Method for Congestive Heart Failure Recognition by Three Confirmation Functions.

Authors:  K Daqrouq; A Dobaie
Journal:  Comput Math Methods Med       Date:  2016-02-02       Impact factor: 2.238

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.