Literature DB >> 19914887

ECG fingerprints of obstructed breathing in sleep apnea patients.

Christoph Maier1, Vera Rödler, Heinrich Wenz, Hartmut Dickhaus.   

Abstract

This article aims to identify the potential indicators of obstructive apnea (OA) in the ECG, based on the traces of QRS area from multiple ECG leads. We compare the difference in these traces' phase relation found during and after each OA episode to the difference between the first and second half of the OA and between split halves of epochs of normal respiration (NR).

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Mesh:

Year:  2009        PMID: 19914887     DOI: 10.1109/MEMB.2009.934907

Source DB:  PubMed          Journal:  IEEE Eng Med Biol Mag        ISSN: 0739-5175


  2 in total

1.  Automated recognition of obstructive sleep apnea syndrome using support vector machine classifier.

Authors:  Haitham M Al-Angari; Alan V Sahakian
Journal:  IEEE Trans Inf Technol Biomed       Date:  2012-01-24

Review 2.  Timing errors and temporal uncertainty in clinical databases-A narrative review.

Authors:  Andrew J Goodwin; Danny Eytan; William Dixon; Sebastian D Goodfellow; Zakary Doherty; Robert W Greer; Alistair McEwan; Mark Tracy; Peter C Laussen; Azadeh Assadi; Mjaye Mazwi
Journal:  Front Digit Health       Date:  2022-08-18
  2 in total

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