Zobrazeno 1 - 10
of 95
pro vyhledávání: '"Rajesh Kumar Tripathy"'
Autor:
Rakesh Reddy Yakkati, Sreenivasa Reddy Yeduri, Rajesh Kumar Tripathy, Linga Reddy Cenkeramaddi
Publikováno v:
IEEE Access, Vol 11, Pp 116570-116580 (2023)
In the industry, machinery failure causes catastrophic accidents and destructive damage to the machines. It causes the machinery to stop and reduces production, causing financial losses to the industry. As a result, identifying machine faults at an e
Externí odkaz:
https://doaj.org/article/d74bbdabc3f54241b8efd5525b5e35b1
Publikováno v:
Frontiers in Physiology, Vol 13 (2022)
Externí odkaz:
https://doaj.org/article/46d07b74814744429720339372f29202
Autor:
Jay Karhade, Samit Kumar Ghosh, Pranjali Gajbhiye, Rajesh Kumar Tripathy, U. Rajendra Acharya
Publikováno v:
Applied Sciences, Vol 11, Iss 17, p 7920 (2021)
Myocardial infarction (MI) occurs due to the decrease in the blood flow into one part of the heart, and it further causes damage to the heart muscle. The 12-channel electrocardiogram (ECG) has been widely used to detect and localize MI pathology in c
Externí odkaz:
https://doaj.org/article/8f7cf593c0f94a03bc0f711b06802684
Publikováno v:
Entropy, Vol 22, Iss 10, p 1141 (2020)
The categorization of sleep stages helps to diagnose different sleep-related ailments. In this paper, an entropy-based information–theoretic approach is introduced for the automated categorization of sleep stages using multi-channel electroencephal
Externí odkaz:
https://doaj.org/article/f0588fa50dfb49e69ae0a80886275724
Publikováno v:
Healthcare Technology Letters (2017)
The complex wavelet sub-band bi-spectrum (CWSB) features are proposed for detection and classification of myocardial infarction (MI), heart muscle disease (HMD) and bundle branch block (BBB) from 12-lead ECG. The dual tree CW transform of 12-lead ECG
Externí odkaz:
https://doaj.org/article/bdb49fbe4c774f2283ae45a456b5d5b4
Publikováno v:
Healthcare Technology Letters (2016)
In this letter, the authors propose a new entropy measure for analysis of time series. This measure is termed as the state space correlation entropy (SSCE). The state space reconstruction is used to evaluate the embedding vectors of a time series. Th
Externí odkaz:
https://doaj.org/article/ffc5b23390b243728e3dc87eb3ea47ce
Publikováno v:
IEEE Sensors Letters. 7:1-4
Autor:
Sathvik Bhaskarpandit, Anurag Gade, Shaswati Dash, Dinesh Kumar Dash, Rajesh Kumar Tripathy, Ram Bilas Pachori
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 72:1-12
Publikováno v:
IEEE Sensors Journal. 22:22030-22039
Publikováno v:
IEEE Sensors Letters. 6:1-4