Pattern recognition and image analysis, 2023-12, Vol.33 (4), p.1293-1308
2023
Volltextzugriff (PDF)
Details
- Autor(en) / Beteiligte
- Titel
- The Possibilities of Diagnosis and Prediction of Cardiac Disorders Based on the Results of Mathematical Modeling of the Myocardium and Regulation of Action of the Heart
- Ist Teil von
- Pattern recognition and image analysis, 2023-12, Vol.33 (4), p.1293-1308
- Ort / Verlag
- Moscow: Pleiades Publishing
- Erscheinungsjahr
- 2023
- Quelle
- Alma/SFX Local Collection
- Beschreibungen/Notizen
- Theoretical approaches to solving problems of diagnosing and predicting cardiac dysfunctions within the framework of modern mathematical physics of the heart (cardiophysics) are presented. The possibilities for diagnostic purposes of using recognition of patterns of behavior of autowave vortices that arise in the heart during dangerous disturbances in its functioning are considered. The prospects for the development of new methods for diagnosing patterns of the basic heart rhythm in the development of already recognized methods for analyzing heart rate variability are discussed.
- Sprache
- Englisch
- Identifikatoren
- ISSN: 1054-6618eISSN: 1555-6212DOI: 10.1134/S1054661823040272Titel-ID: cdi_proquest_journals_2972726155
- Format
- –
- Schlagworte
- Cardiac arrest, Computer Science, Heart rate, Image Processing and Computer Vision, Mathematical analysis, Mathematical models, Moscow Region, Myocardium, Pattern Recognition, Pushchino, Scientific School of the Institute of Mathematical Problems of Biology of the Russian Academy of Sciences–The Branch of Keldysh Institute of Applied Mathematics of Russian Academy of Sciences, the Russian Federation