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Umberto Melia

Showing results (1-10 of 15) with videos related to

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Medical Engineering & Physics|December 25, 2013
Filtering and thresholding the analytic signal envelope in order to improve peak and spike noise reduction in EEG signalsUmberto Melia, Francesc Clariá, Montserrat Vallverdú, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|February 1, 2013
Removal of peak and spike noise in EEG signals based on the analytic signal magnitudeUmberto Melia, Francesc Clariá, Montserrat Vallverdú, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
Measuring heart rate variability by means of information entropies based on Choi-Williams distributionMontserrat Vallverdú, Francesc Clariá, Umberto Melia, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 11, 2013
Analysis of epileptic EEG signals in children by symbolic dynamicsLuca Paternoster, Montserrat Vallverdú, Umberto Melia, et al.
Medical Engineering & Physics|February 2, 2015
Mutual information measures applied to EEG signals for sleepiness characterizationUmberto Melia, Marc Guaita, Montserrat Vallverdú, et al.
JMIR Medical Informatics|January 21, 2015
Clinical decision support system to enhance quality control of spirometry using information and communication technologiesFelip Burgos, Umberto Melia, Montserrat Vallverdú, et al.
Plos One|January 1, 2015
Algorithm for automatic forced spirometry quality assessment: technological developmentsUmberto Melia, Felip Burgos, Montserrat Vallverdú, et al.
Nanotechnology|March 13, 2019
Thermal conductivity in disordered porous nanomembranesMarianna Sledzinska, Bartlomiej Graczykowski, Francesc Alzina, et al.
Plos One|April 23, 2015
Prediction of Nociceptive Responses during Sedation by Linear and Non-Linear Measures of EEG Signals in High FrequenciesUmberto Melia, Montserrat Vallverdú, Xavier Borrat, et al.
Journal of Clinical Monitoring and Computing|November 19, 2020
Comparison of the Conox (qCON) and Sedline (PSI) depth of anaesthesia indices to predict the hypnotic effect during desflurane general anaesthesia with ketamineCatherine Christenson, Pablo Martinez-Vazquez, Max Breidenstein, et al.
Pageof 2

Showing results (1-10 of 15) with videos related to

Sort By:
Pageof 2
Medical Engineering & Physics|December 25, 2013
Filtering and thresholding the analytic signal envelope in order to improve peak and spike noise reduction in EEG signalsUmberto Melia, Francesc Clariá, Montserrat Vallverdú, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|February 1, 2013
Removal of peak and spike noise in EEG signals based on the analytic signal magnitudeUmberto Melia, Francesc Clariá, Montserrat Vallverdú, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
Measuring heart rate variability by means of information entropies based on Choi-Williams distributionMontserrat Vallverdú, Francesc Clariá, Umberto Melia, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 11, 2013
Analysis of epileptic EEG signals in children by symbolic dynamicsLuca Paternoster, Montserrat Vallverdú, Umberto Melia, et al.
Medical Engineering & Physics|February 2, 2015
Mutual information measures applied to EEG signals for sleepiness characterizationUmberto Melia, Marc Guaita, Montserrat Vallverdú, et al.
JMIR Medical Informatics|January 21, 2015
Clinical decision support system to enhance quality control of spirometry using information and communication technologiesFelip Burgos, Umberto Melia, Montserrat Vallverdú, et al.
Plos One|January 1, 2015
Algorithm for automatic forced spirometry quality assessment: technological developmentsUmberto Melia, Felip Burgos, Montserrat Vallverdú, et al.
Nanotechnology|March 13, 2019
Thermal conductivity in disordered porous nanomembranesMarianna Sledzinska, Bartlomiej Graczykowski, Francesc Alzina, et al.
Plos One|April 23, 2015
Prediction of Nociceptive Responses during Sedation by Linear and Non-Linear Measures of EEG Signals in High FrequenciesUmberto Melia, Montserrat Vallverdú, Xavier Borrat, et al.
Journal of Clinical Monitoring and Computing|November 19, 2020
Comparison of the Conox (qCON) and Sedline (PSI) depth of anaesthesia indices to predict the hypnotic effect during desflurane general anaesthesia with ketamineCatherine Christenson, Pablo Martinez-Vazquez, Max Breidenstein, et al.
Pageof 2