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Prediction of disease level using multilayer perceptron of Artificial Neural Network for patient monitoring
ANN has been proved as a powerful discriminating classifier for tasks in medical diagnosis for early detection of diseases. In our …
Md Osman Goni Nayeem, Maung Ning Wan, Md Kamrul Hasan
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Prediction of disease level using multilayer perceptron of Artificial Neural Network for patient monitoring
Effect of Diverse Stimulations of Brain on EEG Signal for SSVEP Based Brain Computer Interface
Steady-state visual evoked potential (SSVEP) is used for Brain-Computer Interface that requires little training for user, offers high …
Md. Kamrul Hasan, Chayan Mondal, Nahid Al Mahmud, and Mohiuddin Ahmad
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Effect of Diverse Stimulations of Brain on EEG Signal for SSVEP Based Brain Computer Interface
Design and simulation of cost effective wireless EEG acquisition system for patient monitoring
The motive of this paper is to design a low cost wireless EEG acquisition system for easily monitoring of the patient. Using local …
Md. Kamrul Hasan, Rushdi Zahid Rusho, Toufiq Md. Hossain, Tarun Kanti Ghosh, Mohiuddin Ahmad
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Design and simulation of cost effective wireless EEG acquisition system for patient monitoring
A direct noninvasive brain interface with computer based on steady-state visual-evoked potential (SSVEP) with high transfer rates
A Brain Computer Interface (BCI) provides a new communication channel between human brain and the computer. This paper presents a …
Md. Kamrul Hasan, Rushdi Zahid Rusho, Mohiuddin Ahmad
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A direct noninvasive brain interface with computer based on steady-state visual-evoked potential (SSVEP) with high transfer rates