BISPL-Biomedical Instrumentation and Signal Processing Lab

Dr. Md Kafiul Islam, Associate Professor in the Department of EEE, IUB at Independent University, Bangladesh, and Head of the BISPL-Biomedical Instrumentation and Signal Processing Laboratory, will deliver an invited talk, titled "𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗠𝗼𝗱𝗲𝗹 𝗳𝗼𝗿 𝗔𝗻𝘅𝗶𝗲𝘁𝘆 𝗦𝗰𝗿𝗲𝗲𝗻𝗶𝗻𝗴 𝗮𝗺𝗼𝗻𝗴 𝗬𝗼𝘂𝗻𝗴 𝗔𝗱𝘂𝗹𝘁𝘀 𝗨𝘀𝗶𝗻𝗴 𝗪𝗶𝗿𝗲𝗹𝗲𝘀𝘀 𝗘𝗘𝗚 𝗛𝗲𝗮𝗱𝘀𝗲𝘁," on 25 May 2025, 12:00–12:40 PM (Dhaka time), ONLINE, at the 𝟮𝟬𝟮𝟱 𝗜𝗘𝗘𝗘 𝟭𝟰𝘁𝗵 𝗜𝗻𝘁𝗲𝗿𝗻𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗖𝗼𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲 𝗼𝗻 𝗖𝗼𝗺𝗺𝘂𝗻𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀, 𝗖𝗶𝗿𝗰𝘂𝗶𝘁𝘀 𝗮𝗻𝗱 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 (𝗜𝗖𝗖𝗖𝗔𝗦), to be held in Wuhan, China, from May 23–25, 2025.

Dr. Islam is also serving as a Special Session Editor and Chair for the session "𝗕𝗶𝗼𝗺𝗲𝗱𝗶𝗰𝗮𝗹 𝗜𝗻𝘀𝘁𝗿𝘂𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗦𝗶𝗴𝗻𝗮𝗹 𝗣𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴 𝗳𝗼𝗿 𝗗𝗶𝘀𝗲𝗮𝘀𝗲 𝗗𝗶𝗮𝗴𝗻𝗼𝘀𝗶𝘀, 𝗣𝗿𝗼𝗴𝗻𝗼𝘀𝗶𝘀, 𝗮𝗻𝗱 𝗧𝗿𝗲𝗮𝘁𝗺𝗲𝗻𝘁."

Interested people are welcome to attend the Invited Talk Online: Meeting ID 849 7188 3091

Details are given in the links below:
ICCCAS 2025 Conference: https://www.icccas.org/
Special Session Details: https://www.icccas.org/SS7.html
Invited Speaker Details: https://www.icccas.org/SS7-IS-Md-Kafiul-Islam.html

We have uploaded two sets of open-source EEG datasets for MI-BCI applications, which were recorded by our volunteers at the BISPL-Biomedical Instrumentation and Signal Processing Lab. Interested researchers are invited to download and try & test their signal processing and ML/DL algorithms on these datasets and share their feedback with us.
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EEG MI-BCI Mouse Cursor Dataset-1 (Left and Right Hand Movements) Binary Class: https://data.mendeley.com/datasets/zgtryg9wvg/2

This dataset contains EEG recordings collected for research on brain-computer interface (BCI) applications, specifically for controlling a mouse cursor using motor imagery (MI). The data was recorded using an Emotiv Epoc+ 14 channel headset. Volunteers performed 1) left-hand movement, 2) right-hand movement and 3) break tasks. The data were recorded in Biomedical Instrumentation and Signal Processing Laboratory (BISPL) at Independent University, Bangladesh.

Please cite the following article if you use this dataset:
S. T. Roja, S. B. Rafique, M. A. Rhaman, N. Sakib and M. K. Islam, "EEG-based Mouse Cursor Control using Motor Imagery Brain-Computer Interface," 2024 6th International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT), Dhaka, Bangladesh, 2024, pp. 1042-1047, doi: 10.1109/ICEEICT62016.2024.10534379.

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EEG MI-BCI Multidirectional Mouse Cursor Dataset-2 (Left and Right Hand and Leg Movements) 4 Classes:
https://data.mendeley.com/datasets/c92c2n5t34/2

This dataset contains EEG recordings for a multidirectional motor imagery-based brain-computer interface (MI-BCI) designed for mouse cursor control. The data was collected using the EMOTIV EPOC+ 14-channel wireless EEG headset, capturing brain activity related to voluntary motor imagery tasks. Volunteers have performed trials for 1) right-hand movement, 2) right-leg movement, 3) left-hand movement, 4) left-leg movement, 5) eye blinks, and 6) resting state (break periods). The data were recorded in Biomedical Instrumentation and Signal Processing Laboratory (BISPL) at Independent University, Bangladesh.