Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

  • 6 Similar Profiles
Brain Engineering & Materials Science
Electroencephalography Engineering & Materials Science
Rats Engineering & Materials Science
Imaging techniques Engineering & Materials Science
Bioelectric potentials Engineering & Materials Science
Electrodes Engineering & Materials Science
Prosthetics Engineering & Materials Science
Neurons Engineering & Materials Science

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Research Output 1978 2017

A CMOS Current Steering Neurostimulation Array With Integrated DAC Calibration and Charge Balancing

Greenwald, E., Maier, C., Wang, Q., Beaulieu, R., Etienne-Cummings, R., Cauwenberghs, G. & Thakor, N. Jan 16 2017 (Accepted/In press) In : IEEE Transactions on Biomedical Circuits and Systems.

Research output: Research - peer-reviewArticle

Calibration
Electrodes
Rats
Tissue

A mental fatigue index based on regression using mulitband EEG features with application in simulated driving

Dimitrakopoulos, G. N., Kakkos, I., Thakor, N. V., Bezerianos, A. & Sun, Y. Sep 13 2017 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Smarter Technology for a Healthier World, EMBC 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 3220-3223 4 p. 8037542

Research output: ResearchConference contribution

Mental Fatigue
Fatigue
Electroencephalography
Fatigue of materials
Electrodes

A new perspective for the training assessment: Machine learning-based neurometric for augmented user's evaluation

Borghini, G., Aricò, P., Di Flumeri, G., Sciaraffa, N., Colosimo, A., Herrero, M. T., Bezerianos, A., Thakor, N. V. & Babiloni, F. Jun 13 2017 In : Frontiers in Neuroscience. 11, JUN, 325

Research output: Research - peer-reviewArticle

Electroencephalography
Machine Learning
Emergencies
Air
Economics

A new perspective of noise removal from EEG

Li, J., Li, C., Thakor, N., Cichocki, A. & Bezerianos, A. Aug 10 2017 8th International IEEE EMBS Conference on Neural Engineering, NER 2017. IEEE Computer Society, p. 501-504 4 p. 8008399

Research output: ResearchConference contribution

Electroencephalography
Feature extraction
Signal to noise ratio
Signal processing
Electrodes

A saccade based framework for real-time motion segmentation using event based vision sensors

Mishra, A., Ghosh, R., Principe, J. C., Thakor, N. V. & Kukreja, S. L. Mar 3 2017 In : Frontiers in Neuroscience. 11, MAR, 83

Research output: Research - peer-reviewArticle

Saccades
Robotics
Equipment and Supplies