Zobrazeno 1 - 10
of 61
pro vyhledávání: '"RAJAMANICKAM, Yuvaraj"'
Autor:
S. Abirami, Tikaram, M. Kathiravan, Rajamanickam Yuvaraj, Ramshekhar N. Menon, John Thomas, P. A. Karthick, A. Amalin Prince, Jac Fredo Agastinose Ronickom
Publikováno v:
IEEE Access, Vol 12, Pp 136524-136541 (2024)
Epilepsy is a chronic brain disorder characterized by recurrent unprovoked seizures. The treatment for epilepsy is influenced by the types of seizures. Therefore, developing a reliable, explainable, and automated system to identify seizure types is n
Externí odkaz:
https://doaj.org/article/67f5a5555986467d9621c7d5b5f5c7b7
Autor:
Rajamanickam Yuvaraj, Shivam Chadha, A. Amalin Prince, M. Murugappan, Md. Sakib Bin Islam, Md. Shaheenur Islam Sumon, Muhammad E. H. Chowdhury
Publikováno v:
Algorithms, Vol 17, Iss 11, p 503 (2024)
Classroom EEG recordings classification has the capacity to significantly enhance comprehension and learning by revealing complex neural patterns linked to various cognitive processes. Electroencephalography (EEG) in academic settings allows research
Externí odkaz:
https://doaj.org/article/ee0cbfb128d44d38bc548dabca5a80f9
Autor:
Dharamsi, Tejas, Das, Payel, Pedapati, Tejaswini, Bramble, Gregory, Muthusamy, Vinod, Samulowitz, Horst, Varshney, Kush R., Rajamanickam, Yuvaraj, Thomas, John, Dauwels, Justin
Electroencephalography (EEG) is an extensively-used and well-studied technique in the field of medical diagnostics and treatment for brain disorders, including epilepsy, migraines, and tumors. The analysis and interpretation of EEGs require physician
Externí odkaz:
http://arxiv.org/abs/1711.06195
Assessing attentive monitoring levels in dynamic environments through visual neuro-assisted approach
Publikováno v:
In Heliyon March 2022 8(3)
Autor:
Rajamanickam Yuvaraj, Arapan Baranwal, A. Amalin Prince, M. Murugappan, Javeed Shaikh Mohammed
Publikováno v:
Brain Sciences, Vol 13, Iss 4, p 685 (2023)
The recognition of emotions is one of the most challenging issues in human–computer interaction (HCI). EEG signals are widely adopted as a method for recognizing emotions because of their ease of acquisition, mobility, and convenience. Deep neural
Externí odkaz:
https://doaj.org/article/ff9358ff8cb24a8ba7b643f3afe6d9b3
Publikováno v:
Sensors, Vol 23, Iss 2, p 915 (2023)
Advances in signal processing and machine learning have expedited electroencephalogram (EEG)-based emotion recognition research, and numerous EEG signal features have been investigated to detect or characterize human emotions. However, most studies i
Externí odkaz:
https://doaj.org/article/0e0ea51dbe9d4200ba160d0f8175109b
Autor:
Bong, Siao Zheng, Wan, Khairunizam, Murugappan, M., Ibrahim, Norlinah Mohamed, Rajamanickam, Yuvaraj, Mohamad, Khairiyah
Publikováno v:
In Biomedical Signal Processing and Control July 2017 36:102-112
Publikováno v:
Applied Sciences, Vol 9, Iss 14, p 2870 (2019)
A computerized detection system for the diagnosis of Schizophrenia (SZ) using a convolutional neural system is described in this study. Schizophrenia is an anomaly in the brain characterized by behavioral symptoms such as hallucinations and disorgani
Externí odkaz:
https://doaj.org/article/ab11d6a7b30d47fc998801b4a6531d70
Autor:
SELVARAJ, Abirami, P. J., Swarubini, THOMAS, John, RAJAMANICKAM, Yuvaraj, MENON, Ramshekhar N., AGASTINOSE RONICKOM, Jac Fredo
Publikováno v:
Studies in Health Technology & Informatics; 2023, Vol. 305, p68-71, 4p, 1 Diagram, 1 Chart, 1 Graph
Publikováno v:
Biomedical Signals Based Computer-Aided Diagnosis for Neurological Disorders ISBN: 9783030978440
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e11df44715612bb8ae4199922cd5ad76
https://doi.org/10.1007/978-3-030-97845-7_1
https://doi.org/10.1007/978-3-030-97845-7_1