Conference Articles
2013(1 publication)
[publication]J. P. Ramos and P. Carvalho and Coimbra, M. , "Towards a Time-Feature Independent Phonocardiogram Segmentation", in IEEE Engineering in Medicine and Biology Conference, EMBC 2013, 2013

2011(3 publications)
[publication]P. Carvalho and Paiva, R.P. and D. Kumar and J. P. Ramos and Santos, S. and Henriques, J. , "A Framework for Acoustic Cardiac Signal Analysis", in Biosignals - International Conference on Bio-inspired Systems and Signal Processing, 2011
[citation][year=2011]1. Silva, N. (2011). Phonocardiogram noise detection in realistic environments. MSc Thesis, University of Porto, Portugal.

[publication]J. P. Ramos and P. Carvalho and Paiva, R.P. and Henriques, J. , "Modulation Filtering for Noise Detection in Heart Sound Signals", in Int. Conf. of the IEEE Engineering in Medicine and Biology Society – EMBC’2011, Boston, USA., 2011
[citation][year=2011]1. Silva, N. (2011). Phonocardiogram noise detection in realistic environments. MSc Thesis, University of Porto, Portugal.

[publication]J. P. Ramos and P. Carvalho and Paiva, R.P. and Vale, L.d. and Henriques, J. , "INTELLIGENT PHONOCARDIOGRAM ANALYSIS AND REPRESENTATION TOOL", in Biosignals - International Conference on Bio-inspired Systems and Signal Processing, 2011
[citation][year=2013]1. Hamza Cherif, L., and S. M. Debbal. "Algorithm for detection of the internal components of the heart sounds and their split using a Hilbert transform." Journal of medical engineering & technology 37.3 (2013): 220-230.
[citation][year=2013]Hamza Cherif, L., and S. M. Debbal. "Algorithm for detection of the internal components of the heart sounds and their split using a Hilbert transform." Journal of medical engineering & technology 37.3 (2013): 220-230.

2009(1 publication)
[publication]António Dourado and Ventura, A. and João M. Franco and J. P. Ramos and Bruno Direito , "Epileptic Seizure Prediction and The", in 19th International Conference on Artificial Neural Networks,  vol. 5769, 2009
[citation][year=2015]Online epileptic seizure prediction using wavelet-based bi-phase correlation of electrical signals tomography
Z Vahabi, R Amirfattahi, F Shayegh… - International journal of …, 2015 - World Scientific
Considerable efforts have been made in order to predict seizures. Among these methods, 
the ones that quantify synchronization between brain areas, are the most important methods. 
However, to date, a practically acceptable result has not been reported. In this paper, we  ...