Project КП-06-Н42-3/27.11.2020 | Scientific publications and presentations | Phase I

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List of scientific publications and presentations citing the project grant, Phase I (27.11.2020 – 27.11.2022)
(the team members are underlined):

1. List of scientific publications (published or accepted for publication)

• In journals with impact factor (IF – Web of Science)

• 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.

• In journals with 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.

• In other refereed editions that are indexed in world literary sources – Scopus

• 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 (indexed in 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 (indexed in 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 (indexed in Scopus).

2. List of presentations of project results at scientific forums

• 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.
  Conference | Book of Abstracts | Facebook event
• 2.2.  2^nd 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.
  Conference | Book of Abstracts
• 2.3.  2^nd 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.
  Conference | Book of Abstracts
• 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
  Conference | Program | Proceedings
• 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
  Conference | Program | Proceedings
• 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
  Conference | Program | Proceedings

* Note: Neycheva T. is the maiden name of Assoc. Prof. Tatyana Dobreva (member of the research team), which she traditionally uses as an author of publications and presentations.