Zobrazeno 1 - 5
of 5
pro vyhledávání: '"P M Shyam Prasad"'
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 10, Iss 1 (2017)
A speller is a communication device designed for those suffering from neuromuscular disorders having difficulty to speak. An EMG based design is proposed which uses eye blinks for character selection that offers high accuracy and more comfort to the
Externí odkaz:
https://doaj.org/article/a60de30fdf814206921837edc36d2fc6
Autor:
Banothu Sudhakar, Sravan Kumar Kusuma, Gare Karunakar, Vura U. V Naga Jyothi, V Krishna Kanth, M Shyam Prasad, T Jaya Chandra
Publikováno v:
Journal of Dr. NTR University of Health Sciences, Vol 11, Iss 3, Pp 233-236 (2022)
Introduction: Neonatal sepsis (NS) is the leading cause of morbidity and mortality. Studies on the role of platelet indices (PIs) are limited. With this, a study was undertaken to evaluate thrombocytopenia and variations in PI in the diagnosis of NS.
Externí odkaz:
https://doaj.org/article/38e9f28d87b44f89b44b7c5e72bfc694
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 10, Iss 1, Pp 266-276 (2017)
International Journal of Computational Intelligence Systems, Vol 10, Iss 1 (2017)
International Journal of Computational Intelligence Systems, Vol 10, Iss 1 (2017)
A speller is a communication device designed for those suffering from neuromuscular disorders having difficulty to speak. An EMG based design is proposed which uses eye blinks for character selection that offers high accuracy and more comfort to the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a7892c65a30c0a311583ac2dd6b21e92
http://www.atlantis-press.com/php/download_paper.php?id=25865505
http://www.atlantis-press.com/php/download_paper.php?id=25865505
Autor:
Mahesh Radhakrishnan, Avinash G. Keskar, Radhika Swarnkar, P. M. Shyam Prasad, Md. Farukh Hashmi, K. Visnu Prasad
Publikováno v:
2017 IEEE 7th International Advance Computing Conference (IACC).
Steady State Visually Evoked Potential (SSVEP) is one of the most popularly used signals in Brain Computer Interface (BCI) applications. A new method to detect SSVEP signals of three different frequencies (6Hz, 8Hz and 15Hz) has been proposed. This m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::339a8bc8639ad203e42c62f65990369b
https://doi.org/10.1109/iacc.2017.0126
https://doi.org/10.1109/iacc.2017.0126
Publikováno v:
2016 IEEE Region 10 Symposium (TENSYMP).
Single trial detection of P300 signal is one of the trending areas of Brain Computer Interface (BCI) research. We propose a new method with a high level of accuracy to detect P300 signals in a single trial. Features were obtained with a new technique
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb05df2362a6f864fb07d2e67dbc7be5
https://doi.org/10.1109/tenconspring.2016.7519432
https://doi.org/10.1109/tenconspring.2016.7519432