Fabien Shikama
Research Subjects
Fabien Shikama has a total of 5 co-authors. Here are the top co-authors by number of shared publications:
- Eugene M. Nifontov
Pavlov University
2 shared publications Alexander S. Krasichkov
Saint Petersburg Electrotechnical University ‘LETI
1 shared publication- Alexander S. Krasichkov
Radio Engineering Systems Department, Saint Petersburg Electrotechnical University “LETI”, Saint Petersburg, Russia
1 shared publication - Irina A. Kondratyeva
Saint Petersburg Electrotechnical University ‘LETI
1 shared publication Irina Kondratyeva
Saint Petersburg Electrotechnical University ‘LETI’, Saint Petersburg, Russia
1 shared publication
Latest Publications
- 15 October 2020
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 119-122
Noise-Resistant Algorithm for Sorting Cardio Complexes for the Task of Analyzing Statistical Characteristics of ECG
According to the WHO, cardiovascular diseases are the leading cause of death worldwide, so an accurate and timely diagnosis of cardiovascular diseases is an important task. One of the most common and effective methods for diagnosing CVD is to record an electrocardiogram using Holter monitoring. In order to significantly reduce the time required to decrypt the recording of ECS, cardiologists need special programs for automated analysis of the electrocardiogram. This is especially important for the long-term monitoring task. The program for the automated analysis of pacemakers should perform the clustering of cardiac complexes, thus dividing the electrocardiogram into groups of individual cardiac complexes. Only reference cardiocomplexes obtained by statistical averaging from each such group are subjected to further analysis. When registering an electrocardiogram, interference of various physical origins arises, artifacts that significantly complicate the analysis of ECS, therefore, automated analysis programs must also carry out preliminary processing of the electrocardiogram.
- 15 October 2020
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 119-122
Noise-Resistant Algorithm for Sorting Cardio Complexes for the Task of Analyzing Statistical Characteristics of ECG
According to the WHO, cardiovascular diseases are the leading cause of death worldwide, so an accurate and timely diagnosis of cardiovascular diseases is an important task. One of the most common and effective methods for diagnosing CVD is to record an electrocardiogram using Holter monitoring. In order to significantly reduce the time required to decrypt the recording of ECS, cardiologists need special programs for automated analysis of the electrocardiogram. This is especially important for the long-term monitoring task. The program for the automated analysis of pacemakers should perform the clustering of cardiac complexes, thus dividing the electrocardiogram into groups of individual cardiac complexes. Only reference cardiocomplexes obtained by statistical averaging from each such group are subjected to further analysis. When registering an electrocardiogram, interference of various physical origins arises, artifacts that significantly complicate the analysis of ECS, therefore, automated analysis programs must also carry out preliminary processing of the electrocardiogram.