Detection of QRS Notching Using Continuous Wavelet Transform

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F16%3APU120004" target="_blank" >RIV/00216305:26220/16:PU120004 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Detection of QRS Notching Using Continuous Wavelet Transform
Original language description
QRS notching is an indicator of myocardial ischemia, early repolarization and according to the new criteria also left bundle branch block (LBBB). Automatic detection of QRS notching is therefore highly desirable. The aim of this article is the automatic detection of QRS notching using a continuous wavelet transform (CWT). The Haar wavelet was used as the mother wavelet and the scales were chosen in the range from 6 to 70. For testing were used 123 signals from the CSE database (12 leads, 10 seconds duration, 500 Hz sampling frequency and 16 bits resolution). The automatic detection had the sensitivity of 88.07%, the specificity of 94.23% and the positive predictive value of 93.16%. The accuracy is 91.33%.
Czech name
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Czech description
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Project
<a href="/en/project/GAP102%2F12%2F2034" target="_blank" >GAP102/12/2034: Analysis of Relationship between Electrical Activity and Blood Flow at the Heart Ventricles</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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