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pro vyhledávání: '"Akash, Kirodiwal"'
Publikováno v:
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).
Cardiovascular diseases (CVDs) are one of the principal causes of death. Cardiac arrhythmia, a critical CVD, can be easily detected from an electrocardiogram (ECG) recording. Automated ECG analysis can help clinicians to identify arrhythmia and preve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3f3f984c6e3b7d0b545894d3d0687302
https://doi.org/10.1109/embc48229.2022.9871835
https://doi.org/10.1109/embc48229.2022.9871835
Autor:
Ayantika Saha, Sazedul Alam, Apoorva Srivastava, Nilanjan Banerjee, Ashutosh Dash, Akash Kirodiwal, Nirmalya Ghosh, Sawon Pratiher, Gopi Vamsi Penaganti, Amit Patra
Publikováno v:
CinC
Automated cardiac abnormality detection from an ever-expanding number of electrocardiogram (ECG) records has been widely used to assist physicians in the clinical diagnosis of a variety of cardiovascular diseases. Over the last few years, deep learni
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::53ff876ef404f815fb72e6ce38c3a14a
https://doi.org/10.22489/cinc.2020.225
https://doi.org/10.22489/cinc.2020.225