Zobrazeno 1 - 10
of 176
pro vyhledávání: '"Ramakrishnan Swaminathan"'
Publikováno v:
BMC Veterinary Research, Vol 20, Iss 1, Pp 1-13 (2024)
Abstract Successful identification of estrum or other stages in a cycling bitch often requires a combination of methods, including assessment of its behavior, exfoliative vaginal cytology, vaginoscopy, and hormonal assays. Vaginoscopy is a handy and
Externí odkaz:
https://doaj.org/article/bd670bc0521849c7a741e62c226ac001
Publikováno v:
IEEE Access, Vol 12, Pp 60347-60368 (2024)
The interaction between the central nervous system (CNS) and peripheral nervous system (PNS) governs various physiological functions, influences cognitive processes and emotional states. It is necessary to unravel the mechanisms governing the interac
Externí odkaz:
https://doaj.org/article/37954a275a9749a0ac41480d2313debb
Autor:
Yedukondala Rao Veeranki, Nagarajan Ganapathy, Ramakrishnan Swaminathan, Hugo F. Posada-Quintero
Publikováno v:
IEEE Access, Vol 12, Pp 19952-19966 (2024)
Emotions play an essential role in human life as they are linked to well-being and markers of various diseases. Physiological signals can be used to assess emotions objectively and continuously. Electrodermal activity (EDA) is particularly interestin
Externí odkaz:
https://doaj.org/article/a633de09caca4e91aa93a06af0fce204
Autor:
Aniruddha Mundhada, Sandhya Sundaram, Ramakrishnan Swaminathan, Lawrence D' Cruze, Satyavratan Govindarajan, Navaneethakrishna Makaram
Publikováno v:
Journal of Pathology Informatics, Vol 14, Iss , Pp 100155- (2023)
Artificial Intelligence is a tool poised to transform healthcare, with use in diagnostics and therapeutics. The widespread use of digital pathology has been due to the advent of whole slide imaging. Cheaper storage for digital images, along with unpr
Externí odkaz:
https://doaj.org/article/fc50e354d9d04b89925180153283bf57
Autor:
Yedukondala Rao Veeranki, Himanshu Kumar, Nagarajan Ganapathy, Balasubramaniam Natarajan, Ramakrishnan Swaminathan
Publikováno v:
IEEE Access, Vol 9, Pp 124434-124451 (2021)
Recognition of dichotomous emotional states such as happy and sad play important roles in many aspects of human life. Existing literature has recorded diverse attempts in extracting physiological and non-physiological traits to record these emotional
Externí odkaz:
https://doaj.org/article/65807689f6c4430f934f2d56301b9242
Publikováno v:
Applied Sciences, Vol 12, Iss 11, p 5746 (2022)
Early-stage detection of cardiac autonomic neuropathy (CAN) is important for better management of the disease and prevents hospitalization. This study has investigated the complex nature of PR, QT, RR, and ST time segments of ECG signals by computing
Externí odkaz:
https://doaj.org/article/7025139cbaa942a99cc28042935801ef
Autor:
Vinothini Selvaraju, Nicolai Spicher, Ju Wang, Nagarajan Ganapathy, Joana M. Warnecke, Steffen Leonhardt, Ramakrishnan Swaminathan, Thomas M. Deserno
Publikováno v:
Sensors, Vol 22, Iss 11, p 4097 (2022)
In recent years, noncontact measurements of vital signs using cameras received a great amount of interest. However, some questions are unanswered: (i) Which vital sign is monitored using what type of camera? (ii) What is the performance and which fac
Externí odkaz:
https://doaj.org/article/8f350ef3a808408fbea3ab96dd9a929c
Autor:
Diptasree Maitra Ghosh, Dinesh Kumar, Sridhar Poosapadi Arjunan, Ariba Siddiqi, Ramakrishnan Swaminathan
Publikováno v:
PLoS ONE, Vol 12, Iss 12, p e0189036 (2017)
This study has described and experimentally validated the differential electrodes surface electromyography (sEMG) model for tibialis anterior muscles during isometric contraction. This model has investigated the effect of pennation angle on the simul
Externí odkaz:
https://doaj.org/article/005d002d5f3649718ee75b699d470971
Publikováno v:
Measurement Science Review, Vol 8, Iss 3, Pp 53-57 (2008)
Externí odkaz:
https://doaj.org/article/653f946e3c9842c3bf753d1e2f22978e
Publikováno v:
IEEE Sensors Letters. 7:1-3
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9a444a1555101754f8907906af574f18
https://doi.org/10.1109/lsens.2023.3238426
https://doi.org/10.1109/lsens.2023.3238426