Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Shrikanth Rao"'
Autor:
Shrikanth Rao S.K, Roshan Joy Martis
Publikováno v:
Frontiers in Biomedical Technologies, Vol 11, Iss 4 (2024)
Purpose: Accurate detection of Atrial Fibrillation (AF) has great significance in the field of medical science which can reduce the rate of mortality and morbidity. The present study focuses on Electrocardiography (ECG) signal classification using di
Externí odkaz:
https://doaj.org/article/7f175e5ef2fc4cd0b07d085a7cdf5d9d
Publikováno v:
Frontiers in Biomedical Technologies, Vol 11, Iss 2 (2024)
Atrial Fibrillation (AF) is one of the most common type of heart arrhythmias observed in the clinical practice. AF can be detected using Electrocardiogram (ECG). ECG signal are time varying and nonlinear in nature. Hence, it is very difficult for a p
Externí odkaz:
https://doaj.org/article/cbe0602581664b60b2fd5c91b4c77871
Autor:
S K Shrikanth Rao, Roshan Joy Martis
Publikováno v:
Journal of Medical Signals and Sensors, Vol 13, Iss 3, Pp 224-232 (2023)
Atrial fibrillation (AF) is a life threatening disease and can cause stroke, heart failure, and sometimes death. To reduce the rate of mortality and morbidity due to increased prevalence of AF, early detection of the same becomes a prior concern. Tra
Externí odkaz:
https://doaj.org/article/2c1e29c9aa564cacb579f728351fc64f
Autor:
Shrikanth Rao, S. K.1 (AUTHOR) skanthrao@gmail.com, Kolekar, Maheshkumar H.2 (AUTHOR), Martis, Roshan Joy3 (AUTHOR)
Publikováno v:
Expert Systems. Aug2023, Vol. 40 Issue 7, p1-17. 17p.
Autor:
Shrikanth Rao, S. K.1 skanthrao@gmail.com, Martis, Roshan Joy2
Publikováno v:
Journal of Medical Signals & Sensors. Jul-Sep2023, Vol. 13 Issue 3, p224-232. 9p.
Publikováno v:
Frontiers in Biomedical Technologies; Autumn2024, Vol. 11 Issue 4, p563-575, 13p
Publikováno v:
Frontiers in Biomedical Technologies; Spring2024, Vol. 11 Issue 2, p255-264, 10p
Publikováno v:
Investment Management & Financial Innovations, Vol 15, Iss 2, Pp 317-326 (2018)
Financial Reynolds number works as a proxy for volatility in stock markets. This piece of work helps to identify the predictability and herd behavior embedded in the financial Reynolds number (time series) series for both CNX Nifty Regular and CNX Ni
Externí odkaz:
https://doaj.org/article/49f5af06e2c74e7db9377ddbd46f449d
Publikováno v:
Expert Systems.
Publikováno v:
2022 International Conference on Connected Systems & Intelligence (CSI).