IEEE ISCAS 2019
T. Zhan, S. Guraya, H. Kassiri, “A Resource-Optimized VLSI Architecture for Patient-Specific Seizure Detection Using Frontal-Lobe EEG,” submitted to IEEE International Symposium on Circuits and Systems (ISCAS), 2019.
IEEE VLSI 2018
M. R. Pazhouhandeh, H. Kassiri, A. Shoukry, I. Wesspapir, P. Carlen, and R. Genov, “Artifact-Tolerant Opamp-Less Delta-Modulated Bidirectional Neuro-Interface,” In 2018 IEEE Symposium on VLSI Circuits, pp. 127-128.
ICSL Members presented in CMC TEXPO
Alireza Dabbaghian and Tayebeh Yousefi presented their research work in the CMC (Canadian Microelectronic Corporation) TEXPO.
Their poster was titled “A 9.2-gram 8-Channel Fully-Flexible Wireless Surface EEG Monitoring and Diagnostic Headband with Motion Artifact Removal “.
ICSL partners with Novela Neurotechnologies
Together with Novela Neurotechnologies, ICSL received an NSERC engage grant for the project “Development of a wireless 8-channel neural monitoring SoC (system on a chip) for integration on a fully-flexible implantable brain-machine interface”
Closed-loop Neuromodulation, which means stimulating the brain using electrical pulses upon detection of a neurological event, is a well-known method that has been proven to be effective in treatment/control of various neurological disorders. The efficacy of such a treatment option heavily depends on continuous monitoring of the brain along with real-time processing of the recorded data to yield an accurate detection. This requires a highly-miniaturized (ideally implantable) device that integrates the three functions of monitoring, signal
processing, and stimulation while operating fully wireless. In addition to the electronics, such a device must also integrate recording/stimulation electrodes on the same platform.
The awarded project will advance the development of implantable EEG acquisition systems by designing miniaturized electronics for EEG data collection, processing, and wireless transmission. Combined with specialized electrodes made from biocompatible materials, the overall solution will overcome the limitations of current instrumentation and allow for widespread use of long-term EEG, resulting in better diagnosis and management of neurological conditions and leading to improved patient outcomes.
Zainab and Pooria won the Student Choice Award!
Pooria Shafia and Syyeda Zainab Fatmi, two of the ICSL undergraduate research assistants, presented their work in Lassonde School of Engineering summer research conference.
Their poster was titled “A Fully-Flexible 8-Channel Active-Electrode Wireless Wearable Device for Surface EEG Recording with Motion Artifact Removal”.
They competed with more than 60 other projects and received the “Students’ Choice Award”. Congrats Pooria and Zainab!
Sam won a presentation award
Sam Guraya, an ICSL undergraduate research assistant, presented his work in Lassonde School of Engineering summer research conference.
His Presentation was titled “Machine Learning Approaches for Seizure Detection using Frontal Scalp Electrode Recordings, Spectral Energy Bands, Phase Synchrony and Electrode Position based Feature Extraction”.
His work was selected as one of the only 5 out of ~70 projects to be presented as a talk, and he won the 2nd best presentation award. Congrats Sam!
Hossein was selected as a York Research Leader
York University President and VPRI acknowledge research leaders across different faculties. More details here: http://research.info.yorku.ca/york-university-research-leaders/
ISSCC 2018
M. ElAnsary, N. Soltani, H. Kassiri, R. Machadoa, S. Dufour, P. Carlen, M. Thompson, R. Genov, “50nW 5kHz-BW Opamp-less ΔΣ Impedance Analyzer for Brain Neurochemistry Monitoring,” IEEE International Solid-State Circuits Conference (ISSCC’2018), Feb. 2018. [Full Text]
JSSC 2017
H. Kassiri, M. T. Salam, M. R. Pazhouhandeh, N. Soltani, J. L. Perez Velazquez, P. L. Carlen, R. Genov, “Rail-to-Rail-Input Dual-Radio 64-channel Closed-Loop Neurostimulator,” IEEE Journal of Solid-State Circuits, Oct. 2017. (Invited, special issue on best biomedical papers of IEEE ISSCC’17 Conference) [Full Text]
Midwest 2017
H. Kassiri, “Fully discrete-time neural recording front-ends: Feasibility and design considerations View Document,” IEEE 60th International Midwest Symposium on Circuits and Systems (MWSCAS), pp. 76-79. IEEE, 2017. [Full Text]