ENНачало | Колектив | Цели | Научни публикации и представяния
Списък на научните публикации и представяния, цитиращи гранта на проекта, Етап I (27.11.2020 – 27.11.2022)
(имената на членовете на научния колектив са подчертани):
1. Списък на научните публикации (публикувани или приети за печат)
в списания с импакт фактор (IF)
- 1.1. Jekova I., Christov I., Krasteva V., Atrioventricular Synchronization for Detection of Atrial Fibrillation and Flutter in One to Twelve ECG Leads Using a Dense Neural Network Classifier. Sensors, 2022, 22 (16), 6071, pp. 1-30, doi:10.3390/s22166071, ISSN:1424-8220, Q1, IF(2021): 3.847.
- 1.2. Neycheva T.*, Dobrev D., Krasteva V., Common-Mode Driven Synchronous Filtering of the Powerline Interference in ECG. Applied Sciences, 2022, 12(22), 11328, pp. 1-29, doi: 10.3390/app122211328, ISSN: 2076-3417, Q2, IF(2021): 2.838.
- 1.3. Jekova I., Krasteva V., Optimization of End-to-End Convolutional Neural Networks for Analysis of Out-of-Hospital Cardiac Arrest Rhythms during Cardiopulmonary Resuscitation. Sensors, 2021, 21 (12), 4105, pp. 1-25, doi:10.3390/s21124105, ISSN:1424-8220, Q1, IF(2021): 3.847.
- 1.4. Krasteva V., Christov I., Naydenov S., Stoyanov T., Jekova I., Application of Dense Neural Networks for Detection of Atrial Fibrillation and Ranking of Augmented ECG Feature Set. Sensors, 2021, 21(20), 6848, pp. 1-35, doi: 10.3390/s21206848, ISSN: 1424-8220, Q1, IF(2021)=3.847.
- 1.5. Bortolan G., Christov I., Simova I., Potential of Rule-Based Methods and Deep Learning Architectures for ECG Diagnostics. Diagnostics, 2021, 11 (9), 1678, pp. 1-13, doi: 10.3390/diagnostics11091678, ISSN: 2075-4418, Q2, IF (2021): 3.992.
- 1.6. Jekova I., Vassilev P., Stoyanov T., Pencheva P., InterCriteria Analysis: Application for ECG Data Analysis. Mathematics, 2021, 9(8), 854, pp. 1-16, doi:10.3390/math9080854, ISSN:2227-7390, Q1, IF(2021): 2.592.
в списания с импакт ранг (Scopus Journal Rank – SJR)
- 1.7. Krasteva V., Jekova I., Rhythm analysis during cardio-pulmonary resuscitation with convolutional and recurrent neural networks using ECG and optional impedance input. Lecture Notes in Networks and Systems, pp. 3-15, ISSN: 2367-3370, Q4, SJR (2021): 0.17
- 1.8. Ivanov K., Jekova I., Krasteva V., Convolutional autoencoder for filtering of power-line interference with variable amplitude and frequency: Study of 12-lead PTB-XL ECG Database. Lecture Notes in Networks and Systems, pp. 121-133, ISSN: 2367-3370, Q4, SJR (2021): 0.17
- 1.9. Stoyanov T., Web-Based Software Tool for Electrocardiogram Annotation. Lecture Notes in Networks and Systems, 2022, vol. 374, pp. 322-331, doi: 10.1007/978-3-030-96638-6_34, ISSN: 2367-3370, Q4, SJR (2021): 0.17.
- 1.10. Garvanski I., Matveev M., Krasteva V., Stoyanov T., Simova I., On a Possible Approach to Risk Prediction of Recurrence of Atrial Fibrillation аfter Catheter Ablation According to Data from the Pre-procedure Period. International Journal Bioautomation, 2022, vol. 26 (1), pp. 37-66, doi: 10.7546/ijba.2022.26.1.000869, ISSN: 1314-1902, Q3, SJR (2021): 0.198.
в други реферирани издания, които са индексирани в световни литературни източници, посочени в Правилника за наблюдение и оценка на научноизследователската дейност, осъществявана от висшите училища и научните организации, както и на дейността на Фонд „Научни изследвания“
- 1.11. Ganev B., Iliev I., Jekova I., Krasteva V., LabVIEW ECG and Noise Simulator for Advanced Synthesis of Machine Learning Databases. Proc. 2022 XXXI International Scientific Conference Electronics (ET), doi: 10.1109/ET55967.2022.9920258, pp. 1-6, ISBN: 978-166549878-4, Publisher: IEEE (индексира се в Scopus).
- 1.12. Neycheva T. *, Dobrev D., Design of Fractional Filters for Power-line Interference Suppression in ECG Signals. Proc. 2022 XXXI International Scientific Conference Electronics (ET), doi: 10.1109/ET55967.2022.9920330, pp. 1-6, ISBN: 978-166549878-4, Publisher: IEEE (индексира се в Scopus).
- 1.13. Dobrev D., Neycheva T.*, Open-loop Software Automatic Gain Control: Common-mode Power-line Interference Stabilization During ECG Recording. Proc. 2022 XXXI International Scientific Conference Electronics (ET), doi: 10.1109/ET55967.2022.9920322, pp. 1-6, ISBN: 978-166549878-4, Publisher: IEEE (индексира се в Scopus).
2. Списък на представяния на резултатите от проекта на научни форуми
- 2.1. Third Youth Scientific Session “Biomedicine and Quality of Life”, 2-3 December, 2021, Sofia, Bulgaria
Oral presentation: Ivanov K., Jekova I., Krasteva V., Feasibility of Convolutional Autoencoder for Filtering of 50 Hz Interference in the Electrocardiogram, Book of Abstracts, pp. 50.
Конференция | Сборник с абстракти | Фейсбук събитие - 2.2. 2nd International Symposium on Bioinformatics and Biomedicine (BioInfoMed’2022), 5-7 October, 2022, Burgas, Bulgaria
poster: Krasteva V., Jekova I., Rhythm Analysis during Cardio-pulmonary Resuscitation with Convolutional and Recurrent Neural Networks Using ECG and Optional Impedance Input, Book of Abstracts, pp. 27.
Конференция | Сборник с абстракти - 2.3. 2nd International Symposium on Bioinformatics and Biomedicine (BioInfoMed’2022), 5-7 October,2022, Burgas, Bulgaria
Poster: Ivanov K., Jekova I., Krasteva V., Convolutional autoencoder for filtering of power-line interference with variable amplitude and frequency: Study of 12-lead PTB-XL ECG Database, Book of Abstracts, pp. 28-29.
Конференция | Сборник с абстракти - 2.4. 2022 IEEE XXI International Scientific Conference Electronics (ET), 13-15 September 2022, Sozopol, Bulgaria
B.P10 – Poster-presentation: Ganev B., Iliev I., Jekova I., Krasteva V., LabVIEW ECG and Noise Simulator for Advanced Synthesis of Machine Learning Databases
Конференция | Програма | Доклад - 2.5. 2022 IEEE XXXI International Scientific Conference Electronics (ET), 13-15 September 2022, Sozopol, Bulgaria
B.P15 – Poster-presentation: Neycheva T. *, Dobrev D., Design of Fractional Filters for Power-line Interference Suppression in ECG Signals
Конференция | Програма | Доклад - 2.6. 2022 IEEE XXXI International Scientific Conference Electronics (ET), 13-15 September 2022, Sozopol, Bulgaria
B.P16 – Poster-presentation: Dobrev D., Neycheva T.*, Open-loop Software Automatic Gain Control: Common-mode Power-line Interference Stabilization During ECG Recording
Конференция | Програма | Доклад
* Забележка: Neycheva T. е моминското име на доц. Татяна Добрева (учен в колектива на проекта), което тя традиционно използва като автор на публикации и представяния.
