Antônio Maurício F. L. Miranda de Sá

According to our database, Antônio Maurício F. L. Miranda de Sá authored at least 23 papers between 2001 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Multichannel detection of evoked responses using critical values corrected by a parametric bootstrap: Frequency-domain cholesky correction.

Tiago Zanotelli, Mateus Ribeiro, Patrícia Nogueira Vaz, Leonardo Bonato Felix, Eduardo Mazoni Andrade Marçal Mendes, Antônio Maurício Ferreira Leite Miranda de Sá, David Martin Simpson

Biomed. Signal Process. Control., 2024

2022

Considering the effect of correlation between the channels in multivariate detectors for evoked responses in the electroencephalogram.

Antônio Maurício F. L. Miranda de Sá, Tiago Zanotelli, Eduardo M. A. M. Mendes, Leonardo Bonato Felix, David M. Simpson

Biomed. Signal Process. Control., 2022

On the classification of tremor signals into dyskinesia, Parkinsonian tremor, and Essential tremor by using machine learning techniques.

Gabriel A. S. Ferreira, João Lucas S. Teixeira, Ana Lucia Z. Rosso, Antônio Maurício F. L. Miranda de Sá

Biomed. Signal Process. Control., 2022

2021

Distribution of the multiple coherence estimate for the detection of periodic signals in noise.

Antônio Maurício Ferreira Leite Miranda de Sá

Signal Process., 2021

Choosing multichannel objective response detectors for multichannel auditory steady-state responses.

Tiago Zanotelli, Quenaz Bezerra Soares, David Martin Simpson, Antônio Maurício F. L. Miranda de Sá, Eduardo Mazoni Andrade Marçal Mendes, Leonardo Bonato Felix

Biomed. Signal Process. Control., 2021

2020

The global Beta test for hidden periodicities in signals and its extensions to multivariate systems.

Leonardo Bonato Felix, Moisés C. Gonçalves, Tiago Zanotelli, Antônio Maurício F. L. Miranda de Sá, David M. Simpson

Comput. Methods Programs Biomed., 2020

Development of a brain computer interface based on steady-state visual evoked potential with multiple intermittent photo stimulation.

Marco Domenico Cirillo, Aluizio d'Affonsêca Netto, Gianna Maria Toffolo, Antônio Maurício F. L. Miranda de Sá

Biomed. Signal Process. Control., 2020

Spectral F Test for detecting TMS/EEG responses.

Alexandre Cardozo de Almeida, Mariana Aguiar Massote, Roberto Macoto Ichinose, Antônio Maurício Ferreira Leite Miranda de Sá

Biomed. Signal Process. Control., 2020

2019

Improving the power of objective response detection of evoked responses in noise by using average and product of magnitude-squared coherence of two different signals.

Tiago Zanotelli, Antônio Maurício Ferreira Leite Miranda de Sá, Eduardo Mazoni Andrade Marçal Mendes, Leonardo Bonato Felix

Medical Biol. Eng. Comput., 2019

A template subtraction method for reducing electrocardiographic artifacts in EMG signals of low intensity.

José Dilermando Costa Junior, José Manoel de Seixas, Antônio Maurício Ferreira Leite Miranda de Sá

Biomed. Signal Process. Control., 2019

2018

Multivariate approach for estimating the local spectral F-test and its application to the EEG during photic stimulation.

Leonardo Bonato Felix, Paulo Fábio Figueiredo Rocha, Eduardo Mazoni Andrade Marçal Mendes, Antônio Maurício F. L. Miranda de Sá

Comput. Methods Programs Biomed., 2018

Comparison of univariate and multivariate magnitude-squared coherences in the detection of human 40-Hz auditory steady-state evoked responses.

Leonardo Bonato Felix, Felipe Antunes, Jean Antônio da Silva Carvalho, Márcio Falcão dos Santos Barroso, Antônio Maurício Ferreira Leite Miranda de Sá

Biomed. Signal Process. Control., 2018

2012

Tibial nerve somatosensory evoked response detection using uni and multivariate coherence.

Danilo Barbosa Melges, Antônio Maurício Ferreira Leite Miranda de Sá, Antonio Fernando C. Infantosi

Biomed. Signal Process. Control., 2012

2009

Coherence estimate between a random and a periodic signal: Bias, variance, analytical critical values, and normalizing transforms.

Antônio Maurício Ferreira Leite Miranda de Sá, Danton Diego Ferreira, Edson W. Dias, Eduardo M. A. M. Mendes, Leonardo Bonato Felix

J. Frankl. Inst., 2009

ICA-Based Method for Quantifying EEG Event-Related Desynchronization.

Danton Diego Ferreira, Antônio Maurício Ferreira Leite Miranda de Sá, Augusto Santiago Cerqueira, José Manoel de Seixas

Proceedings of the Independent Component Analysis and Signal Separation, 2009

2007

Evaluating the relationship of non-phase locked activities in the electroencephalogram during intermittent stimulation: a partial coherence-based approach.

Antônio Maurício Ferreira Leite Miranda de Sá, Antonio Fernando C. Infantosi

Medical Biol. Eng. Comput., 2007

2006

Comments on "Statistical Distribution of the Measure of Coherence.

Antônio Maurício Ferreira Leite Miranda de Sá, David M. Simpson, Antonio Fernando C. Infantosi

IEEE Trans. Biomed. Eng., 2006

Statistical aspects concerning signal coherence applied to randomly modulated periodic signals.

Leonardo Bonato Felix, Antônio Maurício Ferreira Leite Miranda de Sá, Eduardo Mazoni Andrade Marçal Mendes, Márcio Flávio Dutra Moraes

IEEE Signal Process. Lett., 2006

A note on the coherence-based signal-to-noise ratio estimation in systems with periodic inputs.

Antônio Maurício F. L. Miranda de Sá

J. Frankl. Inst., 2006

Using Component Synchrony Measure for somatosensory evoked potential detection.

Danilo Barbosa Melges, Antônio Maurício Ferreira Leite Miranda de Sá, Antonio Fernando Catelli

Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

2004

A matrix-based algorithm for estimating multiple coherence of a periodic signal and its application to the multichannel EEG during sensory stimulation.

Antônio Maurício Ferreira Leite Miranda de Sá, Leonardo Bonato Felix, Antonio Fernando C. Infantosi

IEEE Trans. Biomed. Eng., 2004

A note on the sampling distribution of coherence estimate for the detection of periodic signals.

A. M. F. L. M. de Sá

IEEE Signal Process. Lett., 2004

2001

A statistical technique for measuring synchronism between cortical regions in the EEG during rhythmic stimulation.

Antônio Maurício Ferreira Leite Miranda de Sá, Antonio Fernando C. Infantosi, David M. Simpson

IEEE Trans. Biomed. Eng., 2001