Mahsa Shoaran
Mahsa Shoaran
Assistant Professor, EPFL, Switzerland
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Compact Low-Power Cortical Recording Architecture for Compressive Multichannel Data Acquisition
M Shoaran, MH Kamal, C Pollo, P Vandergheynst, A Schmid
IEEE Transactions on Biomedical Circuits and Systems 8 (6), 857-870, 2014
Energy-Efficient Classification for Resource-Constrained Biomedical Applications
M Shoaran, BA Haghi, M Taghavi, M Farivar, A Emami
IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS), 2018
Compressive multichannel cortical signal recording
MH Kamal, M Shoaran, Y Leblebici, A Schmid, P Vandergheynst
2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013
A 16-Channel 1.1 mm2 Implantable Seizure Control SoC with Sub-μW/Channel Consumption and Closed-Loop Stimulation in 0.18 μm CMOS
M Shoaran, M Shahshahani, M Farivar, J Almajano, A Shahshahani, ...
2016 Symposium on VLSI Circuits, 2016
Tunnel FET-based ultra-low power, low-noise amplifier design for bio-signal acquisition
H Liu, S Datta, M Shoaran, A Schmid, X Li, V Narayanan
2014 IEEE/ACM International Symposium on Low Power Electronics and Design …, 2014
A Fully-Integrated IC with 0.85-uW/Channel Consumption for Epileptic iEEG Detection
M Shoaran, C Pollo, K Schindler, A Schmid
IEEE Transactions on Circuits and Systems II: Express Briefs 62 (2), 114-118, 2015
Migraine classification using somatosensory evoked potentials
B Zhu, G Coppola, M Shoaran
Cephalalgia, 2019
Improved detection of Parkinsonian resting tremor with feature engineering and Kalman filtering
L Yao, P Brown, M Shoaran
Clinical Neurophysiology 131 (1), 274-284, 2020
Resting tremor detection in Parkinson's disease with machine learning and Kalman filtering
L Yao, P Brown, M Shoaran
2018 IEEE Biomedical Circuits and Systems Conference (BioCAS), 1-4, 2018
A low-power area-efficient compressive sensing approach for multi-channel neural recording
M Shoaran, MM Lopez, VSR Pasupureddi, Y Leblebici, A Schmid
2013 IEEE International Symposium on Circuits and Systems (ISCAS), 2191-2194, 2013
Analysis and Characterization of Variability in Subthreshold Source-Coupled Logic Circuits
M Shoaran, A Tajalli, M Alioto, A Schmid, Y Leblebici
IEEE Transactions on Circuits and Systems I: Regular Papers 62 (2), 458-467, 2015
Neural variability quenching during decision-making: neural individuality and its prestimulus complexity
A Wolff, L Yao, J Gomez-Pilar, M Shoaran, N Jiang, G Northoff
Neuroimage 192, 1-14, 2019
Low power nanoelectronics
H Liu, R Vaddi, V Narayanan, S Datta, MS Kim, X Li, A Schmid, ...
US Patent 9,800,094, 2017
Hardware-Friendly Seizure Detection with a Boosted Ensemble of Shallow Decision Trees
M Shoaran, M Farivar, A Emami
International Conference of the IEEE Engineering in Medicine and Biology …, 2016
Design techniques and analysis of high-resolution neural recording systems targeting epilepsy focus localization
M Shoaran, C Pollo, Y Leblebici, A Schmid
2012 Annual International Conference of the IEEE Engineering in Medicine and …, 2012
Adaptive learning-based compressive sampling for low-power wireless implants
C Aprile, K Ture, L Baldassarre, M Shoaran, G Yilmaz, F Maloberti, ...
IEEE Transactions on Circuits and Systems I: Regular Papers 65 (11), 3929-3941, 2018
Structured sampling and recovery of ieeg signals
L Baldassarre, C Aprile, M Shoaran, Y Leblebici, V Cevher
2015 IEEE 6th International Workshop on Computational Advances in Multi …, 2015
Learning-based near-optimal area-power trade-offs in hardware design for neural signal acquisition
C Aprile, L Baldassarre, V Gupta, J Yoo, M Shoaran, Y Leblebici, ...
2016 International Great Lakes Symposium on VLSI (GLSVLSI), 433-438, 2016
A novel compressive sensing architecture for high-density biological signal recording
M Shoaran, H Afshari, A Schmid
2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings, 13-16, 2014
Hardware complexity analysis of deep neural networks and decision tree ensembles for real-time neural data classification
M Taghavi, M Shoaran
2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 407-410, 2019
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