selected publications
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article
- Efficient automatic classifiers for the detection of A phases of the cyclic alternating pattern in sleep. Medical and Biological Engineering and Computing. 50:359-372. 2012-01-01
- Characterization of A phases during the Cyclic Alternating Pattern of sleep. Clinical Neurophysiology. 122:2016-2024. 2011-01-01
- Automatic screening of obstructive sleep apnea from the ECG based on empirical mode decomposition and wavelet analysis. Physiological Measurement. 31:273-289. 2010-01-01
- Sleep staging based on signals acquired through bed sensor. IEEE Transactions on Information Technology in Biomedicine. 14:776-785. 2010-01-01
- Sleep staging from heart rate variability: Time-varying spectral features and hidden markov models. International Journal of Biomedical Engineering and Technology. 3:246-263. 2010-01-01
- Sleep apnea screening by autoregressive models from a single ECG lead. IEEE Transactions on Biomedical Engineering. 56:2838-2850. 2009-01-01
- Detection of sleep apnea from surface ECG based on features extracted by an autoregressive model.. Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference. 6106-6109. 2007-01-01
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conference paper
- Automatic detection of a phases of the Cyclic Alternating Pattern during sleep. 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10. 5085-5088. 2010-01-01
- Automatic detection of sleep macrostructure based on bed sensors. Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009. 5555-5558. 2009-01-01
- Sleep staging classification based on HRV: Time-variant analysis. Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009. 9-12. 2009-01-01
- Detection of sleep apnea from surface ECG based on features extracted by an autoregressive model. Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. 6105-6108. 2007-01-01