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pro vyhledávání: '"Md. A. Mannan Joadder"'
Publikováno v:
Health Inf Sci Syst
PURPOSE: Significant research has been conducted in the field of brain computer interface (BCI) algorithm development, however, many of the resulting algorithms are both complex, and specific to a particular user as the most successful methodology ca
Autor:
Md. A. Mannan Joadder, M. K. M. Rahman
Publikováno v:
Health Inf Sci Syst
Classification of Motor Imagery (MI) signals is the heart of Brain-Computer Interface (BCI) based applications. Spatial filtering is an important step in this process that produce new set of signals for better discrimination of two classes of EEG sig
Publikováno v:
International Journal of Biomedical Engineering and Technology. 36:375
Brain-computer interface (BCI) is the most popular research topic to the researchers of neuroprosthetics. The ultimate goal of this research is to develop a communication channel between human brains and external devices. Feature extraction is one of
Publikováno v:
Health Information Science ISBN: 9783030010775
HIS
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Nowadays, motor imagery classification in electroencephalography (EEG) based brain computer interface (BCI) systems is a very important research topic in the study of brain science. As EEG contains multi-channel EEG recordings with huge amount of dat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9ace1209a71ee6a85d7108d593802a81
https://doi.org/10.1007/978-3-030-01078-2_10
https://doi.org/10.1007/978-3-030-01078-2_10
Autor:
Md. A. Mannan Joadder, M. K. M. Rahman
Publikováno v:
2016 International Conference on Medical Engineering, Health Informatics and Technology (MediTec).
Motor Imagery (MI) based Brain Computer Interface (BCI) is an assistive technology, which translates the brain signals into commands to control external devices. A basic MI classification involves different steps of signal processing such as pre-proc
Publikováno v:
2016 International Conference on Medical Engineering, Health Informatics and Technology (MediTec).
Human being faces numerous types of neurological disorders. Among them epilepsy is the most frequent after stroke. Several techniques have been developed to identify seizure using EEG signals. The basic contribution of those works can be broadly cate
Autor:
Md. A. Mannan Joadder, M. K. M. Rahman
Publikováno v:
Application and Theory of Computer Technology. 2:1
Motor Imagery (MI) is a voluntary modulation of brain signals for specific action without real limb movement. It is essential to classify MI signal to design a brain computer interface (BCI). BCI involves a number of signal processing steps, and a lo
Autor:
Mohd.Ashique Ridwan Nayeem, Abdullah Al Helal, Md. A. Mannan Joadder, Shahrin Ahammad Shetu, Farzin Raeeda Jamil
Publikováno v:
2014 International Conference on Informatics, Electronics & Vision (ICIEV).
Breast cancer is the most lethal form of cancer in women after lung cancer. Early detection of cancer is likely to improve the patient's ability to deal with the disease and live further. Ultrasound imaging technique is one of the available tools for