Ricardo Nuno Pereira Verga e Afonso Vigário

Academic Degrees

Bachelor's degree in Technological Physics (1992, Faculty of Sciences, University of Lisbon)

Master's degree in Biophysics, specialization in Medical Physics and Biomedical Engineering (1994, Faculty of Sciences, University of Lisbon)

PhD in Computer Science and Biomedical Engineering (1999, Technical University of Helsinki)

Dosentti (2004, Aalto University)

Habilitation (2022, Faculty of Sciences and Technology, Nova University of Lisbon)

Research Interests

Medical image techniques and analysis

Electrophysiological signal processing

Machine learning and applications to Biomedical Engineering

Representative Publications

• Pedro Correia, Carla Quintão, Cláudia Quaresma, Ricardo Vigário; Evaluation of reference phase analysis for synchronous EEG source separation. Biomedical Signal Processing and Control, Volume 113(part D), (2026) (DOI: 10.1016/j.bspc.2025.109204).

• André Bernardo, Pedro Correia, Marina Vigário, Ricardo Vigário, Sónia Frota; Neural tracking of prosodic structure in delexicalized speech, in Proceedings of Speech Prosody, (2024) (DOI: 10.21437/SpeechProsody.2024-230)

• Pedro Correia, Cláudia Quaresma, Pedro Morais, Miguel Fonseca, Ricardo Vigário, Carla Quintão; Effects of mindfulness-based stress reduction meditation on the emotional reaction to affective pictures assessed by electrodermal activity. Biomedical Signal Processing and Control, Volume 86, Part C, (2023) (DOI: 10.1016/j.bspc.2023.105314).

• Carla Quintao, Ricardo Vigario, Maria Marta Santos, Ana Luisa Gomes, Mamede de Carvalho, Susana Pinto, Hugo Gamboa; Surface electromyography for testing motor dysfunction in amyotrophic lateral sclerosis. Neurophysiologie Clinique, Volume 51(5), (2021), (DOI: 10.1016/j.neucli.2021.06.001)

• Pedro Morais, Cláudia Quaresma, Ricardo Vigario, Carla Quintão; Electrophysiological effects of mindfulness meditation in a concentration test. Medical & biological engineering & computing, Volume 59(4), (2021) (DOI: 10.1007/s11517-021-02332-y)

• Hanna Jokinen, Nicolau Gonçalves, Ricardo Vigário, et al.; Early-stage white matter lesions detected by multispectral MRI segmentation predict progressive cognitive decline. Frontiers in neuroscience, Volume 9, (2015), (DOI: 10.3389/fnins.2015.00455)

• Simo Vani, Fariba Sharifian, Hanna Heikkinen, Ricardo Vigário; Modelling fMRI signals can provide insights into neural processing in the cerebral cortex. Journal of Neurophysiology, Volume 114(2), (2014), (DOI: 10.1152/jn.00332.2014)

• Miguel Almeida, Jan-Hendrik Schleimer, José Bioucas-Dias, Ricardo Vigário; Source separation and clustering of phase-locked subspaces. IEEE Trans. on Neural Networks, Volume 22(9), (2011), (DOI: 10.1109/TNN.2011.2161674)

• Jarkko Ylipaavalniemi, Ricardo Vigário; Analysing consistency of independent components: an fMRI illustration. Neuroimage, Volume 39(1), (2008), (DOI: 10.1016/j.neuroimage.2007.08.027)

• Ricardo Vigário, Jaakko Sarela, Veikko Jousmäki, Matti Hamalainen, Erkki Oja; Independent component approach to the analysis of EEG and MEG recordings. IEEE Trans. on Biomedical Engineering, Volume 47(5), (2000) (DOI: 10.1109/10.841330)

Patents: 

 Alexandra Seixas; Rui Martins; João Goes; Carla Quintão; Cláudia Quaresma e Ricardo Vigário;Physical training device for animals with a therapeutical and entertaining component

• Patente europeia nº: EP3785532; publicada em 24/04/2019
• Patente no Brazil nº 112020021991; publicada em 23/02/2021
• Patente na China, nº 112449571; publicada em 26/04/2019
• Patente no EUA; nº 20210227791; publicada em 26/04/2019