Jose Victor Marcos Martin-rekin lankidetzan egindako argitalpenak (24)

2016

  1. Regularity analysis of nocturnal oximetry recordings to assist in the diagnosis of sleep apnoea syndrome

    Medical Engineering and Physics, Vol. 38, Núm. 3, pp. 216-224

2013

  1. Assessment of feature selection and classification approaches to enhance information from overnight oximetry in the context of apnea diagnosis

    International Journal of Neural Systems, Vol. 23, Núm. 5

  2. Automatic estimation of the apnea-hypopnea index from oxygen saturation recordings using non-linear regression analysis

    Focus on Nonlinear Analysis Research (Nova Science Publishers, Inc.), pp. 43-68

  3. Pattern recognition in airflow recordings to assist in the sleep apnoea-hypopnoea syndrome diagnosis

    Medical and Biological Engineering and Computing, Vol. 51, Núm. 12, pp. 1367-1380

2012

  1. Apnea-hypopnea index estimation from spectral analysis of airflow recordings

    Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

  2. Automated prediction of the apnea-hypopnea index from nocturnal oximetry recordings

    IEEE Transactions on Biomedical Engineering, Vol. 59, Núm. 1, pp. 141-149

  3. Feature selection from nocturnal oximetry using genetic algorithms to assist in obstructive sleep apnoea diagnosis

    Medical Engineering and Physics, Vol. 34, Núm. 8, pp. 1049-1057

  4. Linear and nonlinear analysis of airflow recordings to help in sleep apnoea-hypopnoea syndrome diagnosis

    Physiological Measurement, Vol. 33, Núm. 7, pp. 1261-1275

2011

  1. Analysis of nocturnal oxygen saturation recordings using kernel entropy to assist in sleep apnea-hypopnea diagnosis

    Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

  2. Prospective evaluation of logistic regression models from overnight oximetry to assist in sleep apnea diagnosis

    International Conference on Intelligent Systems Design and Applications, ISDA

2010

  1. Automated detection of obstructive sleep apnoea syndrome from oxygen saturation recordings using linear discriminant analysis

    Medical and Biological Engineering and Computing, Vol. 48, Núm. 9, pp. 895-902

  2. Multivariate analysis of blood oxygen saturation recordings in obstructive sleep apnea diagnosis

    IEEE Transactions on Biomedical Engineering, Vol. 57, Núm. 12, pp. 2816-2824

  3. Spectral analysis of single-channel airflow and oxygen saturation recordings in obstructive sleep apnea detection

    2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10

  4. The classification of oximetry signals using Bayesian neural networks to assist in the detection of obstructive sleep apnoea syndrome

    Physiological Measurement, Vol. 31, Núm. 3, pp. 375-394

  5. Variabilidad de la señal de frecuencia de pulso obtenida mediante pulsioximetría nocturna en pacientes con síndrome de apnea hipopnea del sueño

    Archivos de Bronconeumologia, Vol. 46, Núm. 3, pp. 116-121

2009

  1. A classification algorithm based on spectral features from nocturnal oximetry and support vector machines to assist in the diagnosis of obstructive sleep apnea

    Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009

  2. Assessment of four statistical pattern recognition techniques to assist in obstructive sleep apnoea diagnosis from nocturnal oximetry

    Medical Engineering and Physics, Vol. 31, Núm. 8, pp. 971-978

  3. Spectral analysis of electroencephalogram and oximetric signals in obstructive sleep apnea diagnosis

    Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009

2008

  1. Applying time, frequency and nonlinear features from nocturnal oximetry to osa diagnosis

    Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology"

  2. Radial basis function classifiers to help in the diagnosis of the obstructive sleep apnoea syndrome from nocturnal oximetry

    Medical and Biological Engineering and Computing, Vol. 46, Núm. 4, pp. 323-332