Advertisement
Published in:
2018 | OriginalPaper | Chapter
Some False ECG Waves Detections Revised by Fractal Dimensions
Authors : Ibticeme Sedjelmaci, Fethi Bereksi Reguig
Published in: Bioinformatics and Biomedical Engineering
Publisher: Springer International Publishing
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
Abstract
In this paper, we used the fractal dimensions in ECG signals to identify the wave’s detections failure. We check for the sensitivities and the importance of QRS and ST detection because different false wave’s detections caused by the various types of interference and artefact are detected for some ECG signals presenting pathologies.
The fractal dimension is very sensitive to variations: if irregularities degree is great, the fractal dimension is high and vice versa. Different cases of pathologies decreased irregularities on the ECG signal so it causes a decrease in fractal dimension. However decreasing in irregularities is not necessarily pathological: a bad detection can also train it, because we have not the exact location of the beginning and the end of QRS complex or the end of the T wave, it causes a new variation in the dimension fractal which can skew the result.
For that reason and in order to get good results from algorithm detection, the fractal dimensions are calculated for each QRS complex and ST segment, for some ECG signals, to check their sensitivities in heart rate irregularities and false wave’s detections so that make ECG interpretation system more effective.