Signal processing

Cascaded Thinning in Upscale and Downscale Representation for EEG Signal Processing
Cascaded Thinning in Upscale and Downscale Representation for EEG Signal Processing 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Smoothing filters are widely used in EEG signal processing for noise removal while preserving signals’ features. Inspired by our recent work on Upscale and Downscale Representation (UDR), this paper proposes… read more

Development and Evaluation of a Real-Time Phase-Triggered Stimulation Algorithm for the CorTec Brain Interchange
Development and Evaluation of a Real-Time Phase-Triggered Stimulation Algorithm for the CorTec Brain Interchange 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
With the development and characterization of biomarkers that may reflect neural network state as well as a patient’s clinical deficits, there is growing interest in more complex stimulation designs. While… read more

simBCI – A framework for studying BCI methods by simulated EEG
Author(s)3: Jussi T. Lindgren, Adrien Merlini, Anatole Lecuyer, Francesco P. Andriulli
simBCI – A framework for studying BCI methods by simulated EEG 367 281 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Brain-Computer Interface (BCI) methods are commonly studied using Electroencephalogram (EEG) data recorded from human experiments. For understanding and developing BCI signal processing techniques real data is costly to obtain and…

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