Zobrazeno 1 - 10
of 92
pro vyhledávání: '"Rozita Jailani"'
Autor:
Jothi Letchumy Mahendra Kumar, Mamunur Rashid, Rabiu Muazu Musa, Mohd Azraai Mohd Razman, Norizam Sulaiman, Rozita Jailani, Anwar P.P. Abdul Majeed
Publikováno v:
ICT Express, Vol 7, Iss 4, Pp 421-425 (2021)
Brain–Computer Interface technology plays a vital role in facilitating post-stroke patients’ ability to carry out their daily activities of living. The extraction of features and the classification of electroencephalogram (EEG) signals are pertin
Externí odkaz:
https://doaj.org/article/215e4a22e4a44d9bb222b0e5ef531f48
Autor:
Jothi Letchumy Mahendra Kumar, Mamunur Rashid, Rabiu Muazu Musa, Mohd Azraai Mohd Razman, Norizam Sulaiman, Rozita Jailani, Anwar P.P. Abdul Majeed
Publikováno v:
PeerJ, Vol 9, p e11182 (2021)
Brain Computer-Interface (BCI) technology plays a considerable role in the control of rehabilitation or peripheral devices for stroke patients. This is particularly due to their inability to control such devices from their inherent physical limitatio
Externí odkaz:
https://doaj.org/article/310b297666ec4a28bcb6f2750ad35c8d
Publikováno v:
Automotive Experiences, Vol 3, Iss 2 (2020)
Cases of motorcycle theft by breaking mechanical key are still a serious problem in some countries. Therefore, this article discusses the process of development, implementation, and evaluation of a fingerprint-based ignition key for motorcycles. To p
Externí odkaz:
https://doaj.org/article/b1e288864e5b417aa51e2fb5dd5cbedb
Publikováno v:
Journal of Electrical & Electronic Systems Research. 16:35-41
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d768d822d846d3fd184f70633433eb19
https://doi.org/10.24191/jeesr.v16i1.005
https://doi.org/10.24191/jeesr.v16i1.005
Autor:
Mohd Azraai Mohd Razman, Anwar P. P. Abdul Majeed, Rozita Jailani, Jothi Letchumy Mahendra Kumar, Norizam Sulaiman, Rabiu Muazu Musa, Mamunur Rashid
Publikováno v:
MEKATRONIKA. 2:1-7
Brain Computer-Interfaces (BCI) offers a means of controlling prostheses for neurological disorder patients, primarily owing to their inability to control such devices due to their inherent physical limitations. More often than not, the control of su
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ad56ba1f916b9a717aaa1b05dcc2b5ab
https://doi.org/10.15282/mekatronika.v2i1.5939
https://doi.org/10.15282/mekatronika.v2i1.5939
Autor:
Rozita Jailani, Gavin Lim Jiann Kai, Mohd Azraai Mohd Razman, Rabiu Muazu Musa, Anwar P. P. Abdul Majeed, Norizam Sulaiman, Jothi Letchumy Mahendra Kumar, Mamunur Rashid
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789813345966
Stroke is one of the most widespread causes of disability-adjusted life-years (DALYs). EEG-based Brain-Computer Interface (BCI) system is a potential solution for the patients to help them regain their mobility. The study aims to classify eye blinks
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::473ee239597ca5b8de14e9f1c91b7a65
https://doi.org/10.1007/978-981-33-4597-3_91
https://doi.org/10.1007/978-981-33-4597-3_91
Autor:
Rozita Jailani, Jothi Letchumy Mahendra Kumar, Norizam Sulaiman, Phua Jia Hwa, Mohd Azraai Mohd Razman, Mamunur Rashid, Rabiu Muazu Musa, Anwar P. P. Abdul Majeed
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789813345966
Stroke is currently known as the third most frequent reason for disability worldwide where the quality of life of its survivors in terms of their daily functioning is seriously affected. Brain-Computer Interface (BCI) is a system that can acquire and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::46c556cf7c66ca06514debb78dae49d6
https://doi.org/10.1007/978-981-33-4597-3_92
https://doi.org/10.1007/978-981-33-4597-3_92
Autor:
Mohd Azraai Mohd Razman, Rozita Jailani, Norizam Sulaiman, Jothi Letchumy Mahendra Kumar, Anwar P. P. Abdul Majeed, Mamunur Rashid, Rabiu Muazu Musa
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789813345966
Electroencephalogram (EEG) is non-trivial in the diagnosis and treatment of neurogenerative diseases. Brain-Computer Interface (BCI) that utilises EEG is often used to improve the activities of daily living of patients with the aforesaid disorder. In
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9f5ea767c6b4f1ad4be7fdd2cdeb6755
https://doi.org/10.1007/978-981-33-4597-3_6
https://doi.org/10.1007/978-981-33-4597-3_6
Autor:
Anwar P. P. Abdul Majeed, Chin Hau Lim, Rabiu Muazu Musa, Norizam Sulaiman, Jothi Letchumy Mahendra Kumar, Mamunur Rashid, Mohd Azraai Mohd Razman, Rozita Jailani
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789813345966
Electroencephalogram (EEG) has now become one of the means in the medical sector to detect hallucination. The main objective of this study is to classify the onset of hallucination via time-domain based EEG signals. In this study, significant time-do
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::257c4257f5ffe7e16d00cdb336d6f496
https://doi.org/10.1007/978-981-33-4597-3_90
https://doi.org/10.1007/978-981-33-4597-3_90