Classification of schizophrenic patients by applying the wavelet transform to evoked potentials.
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Updated
Mar 29, 2022 - Python
Classification of schizophrenic patients by applying the wavelet transform to evoked potentials.
de la Torre A, Valderrama J, Alvarez IM, Segura JC. Latency-dependent filtering and compact representation of the complete auditory pathway response. Journal of the Acoustical Society of America (2020) 148, 599-613. doi: 10.1121/10.0001673.
Hierarchical Bayesian estimation of MEP recruitment curves
de la Torre A, Valderrama J, Segura JC, Alvarez IM. Matrix-based formulation of the iterative randomized stimulation and averaging method for recording evoked potentials. Journal of the Acoustical Society of America (2019) 146, 4545-4556. doi: 10.1121/1.5139639.
Repository with neurophysiological and statistical pipelines for auditory cognitive neuroscience research article in preparation.
EEG data collection and processing in matlab. Proposed data collection algorithm and Processing pipeline for evoked potentials of EEG signals or regular EEG signals. Furthermore
de la Torre A, Valderrama J, Segura JC, Alvarez IM. Subspace-constrained deconvolution of auditory evoked potentials. Journal of the Acoustical Society of America (2022) 151, 3745-3757. doi: 10.1121/10.0011423.
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