- Tytuł:
- Methods of extracting electrocardiograms from electronic signals and images in the Python environment
- Autorzy:
-
Zholmagambetova, Bakhytgul
Mazakov, Talgat
Jomartova, Sholpan
Izat, Adilzhan
Bibalayev, Olzhas - Powiązania:
- https://bibliotekanauki.pl/articles/328664.pdf
- Data publikacji:
- 2020
- Wydawca:
- Polska Akademia Nauk. Polskie Towarzystwo Diagnostyki Technicznej PAN
- Tematy:
-
ECG signal
MIT/BIH
Python
image processing
one-dimensional array
OpenCV
Matplotlib
NumPy
sygnał EKG
przetwarzanie obrazu - Opis:
- High-quality signal processing of an electrocardiogram (ECG) is an urgent problem in present day diagnostics for revealing dangerous signs of cardiovascular diseases and arrhythmias in patients. The used methods and programs of signal analysis and classification work with the arrays of points for mathematical modeling that must be extracted from an image or recording of an electrocardiogram. The aim of this work is developing a method of extracting images of ECG signals into a one-dimensional array. An algorithm is proposed based on sequential color processing operations and improving the image quality, masking and building a one-dimensional array of points using Python tools and libraries with open access. The results of testing samples from the ECG database and comparing images before and after processing show that the signal extraction accuracy is approximately 95 %. In addition, the presented application design is simple and easy to use. The proposed program for analyzing and processing the ECG data has a great potential in the future for the development of more complex software applications for automatic analyzing the data and determining arrhythmias or other pathologies.
- Źródło:
-
Diagnostyka; 2020, 21, 3; 95-101
1641-6414
2449-5220 - Pojawia się w:
- Diagnostyka
- Dostawca treści:
- Biblioteka Nauki
Artykuł