Romero S - Search Results

1

Reduction of metallic interference in MEG signals using AMUSE.

Migliorelli C, Romero S, Alonso JF, Nowak R, Russi A, Mananas MA. Migliorelli C, et al. Among authors: romero s. Annu Int Conf IEEE Eng Med Biol Soc. 2013;2013:5970-3. doi: 10.1109/EMBC.2013.6610912. Annu Int Conf IEEE Eng Med Biol Soc. 2013. PMID: 24111099

2

Quantitative evaluation of automatic ocular removal from simulated EEG signals: regression vs. second order statistics methods.

Romero S, Mañanas MA, Barbanoj MJ. Romero S, et al. Conf Proc IEEE Eng Med Biol Soc. 2006;2006:5495-8. doi: 10.1109/IEMBS.2006.260338. Conf Proc IEEE Eng Med Biol Soc. 2006. PMID: 17945904

3

Automatic BSS-based filtering of metallic interference in MEG recordings: definition and validation using simulated signals.

Migliorelli C, Alonso JF, Romero S, Mañanas MA, Nowak R, Russi A. Migliorelli C, et al. Among authors: romero s. J Neural Eng. 2015 Aug;12(4):046001. doi: 10.1088/1741-2560/12/4/046001. Epub 2015 May 27. J Neural Eng. 2015. PMID: 26015414

4

Influence of metallic artifact filtering on MEG signals for source localization during interictal epileptiform activity.

Migliorelli C, Alonso JF, Romero S, Mañanas MA, Nowak R, Russi A. Migliorelli C, et al. Among authors: romero s. J Neural Eng. 2016 Apr;13(2):026029. doi: 10.1088/1741-2560/13/2/026029. Epub 2016 Mar 2. J Neural Eng. 2016. PMID: 26934426

5

Ocular reduction in EEG signals based on adaptive filtering, regression and blind source separation.

Romero S, Mañanas MA, Barbanoj MJ. Romero S, et al. Ann Biomed Eng. 2009 Jan;37(1):176-91. doi: 10.1007/s10439-008-9589-6. Epub 2008 Nov 5. Ann Biomed Eng. 2009. PMID: 18985453

6

A comparative study of automatic techniques for ocular artifact reduction in spontaneous EEG signals based on clinical target variables: a simulation case.

Romero S, Mañanas MA, Barbanoj MJ. Romero S, et al. Comput Biol Med. 2008 Mar;38(3):348-60. doi: 10.1016/j.compbiomed.2007.12.001. Epub 2008 Jan 28. Comput Biol Med. 2008. PMID: 18222418 Free article.

7

Automated detection of epileptic ripples in MEG using beamformer-based virtual sensors.

Migliorelli C, Alonso JF, Romero S, Nowak R, Russi A, Mañanas MA. Migliorelli C, et al. Among authors: romero s. J Neural Eng. 2017 Aug;14(4):046013. doi: 10.1088/1741-2552/aa684c. J Neural Eng. 2017. PMID: 28327467

8

MEG connectivity analysis in patients with Alzheimer's disease using cross mutual information and spectral coherence.

Alonso JF, Poza J, Mañanas MA, Romero S, Fernández A, Hornero R. Alonso JF, et al. Among authors: romero s. Ann Biomed Eng. 2011 Jan;39(1):524-36. doi: 10.1007/s10439-010-0155-7. Epub 2010 Sep 8. Ann Biomed Eng. 2011. PMID: 20824340

9

Connectivity analysis of EEG under drug therapy.

Alonso JF, Mañanas MA, Romero S, Riba J, Barbanoj MJ, Hoyer D. Alonso JF, et al. Among authors: romero s. Annu Int Conf IEEE Eng Med Biol Soc. 2007;2007:6188-91. doi: 10.1109/IEMBS.2007.4353768. Annu Int Conf IEEE Eng Med Biol Soc. 2007. PMID: 18003434 Clinical Trial.

10

Evaluation of an automatic ocular filtering method for awake spontaneous EEG signals based on independent component analysis.

Romero S, Mananas MA, Riba J, Morte A, Gimenez S, Clos S, Barbanoj MJ. Romero S, et al. Conf Proc IEEE Eng Med Biol Soc. 2004;2004:925-8. doi: 10.1109/IEMBS.2004.1403311. Conf Proc IEEE Eng Med Biol Soc. 2004. PMID: 17271830

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