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Montserrat Vallverdú

Showing results (1-10 of 53) with videos related to

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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.
Entropy (Basel, Switzerland)|December 3, 2020
Entropy Measures as Descriptors to Identify Apneas in Rheoencephalographic SignalsCarmen González, Erik Jensen, Pedro Gambús, et al.
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.
Computer Methods and Programs in Biomedicine|April 26, 2005
Correlation dimension analysis of heart rate variability in patients with dilated cardiomyopathyRaúl Carvajal, Niels Wessel, Montserrat Vallverdú, et al.
Biomedizinische Technik. Biomedical Engineering|October 26, 2006
Non-linear dynamic analysis of the cardiac rhythm during transient myocardial ischemiaPedro Gomis, Pere Caminal, Montserrat Vallverdú, et al.
Plos One|December 12, 2018
Poincaré plot analysis of cerebral blood flow signals: Feature extraction and classification methods for apnea detectionCarmen González, Erik W Jensen, Pedro L Gambús, et al.
Methods of Information in Medicine|February 24, 2018
Time-frequency Features for Impedance Cardiography Signals During Anesthesia Using Different Distribution KernelsJesús Escrivá Muñoz, Pedro Gambús, Erik W Jensen, et al.
Frontiers in Network Physiology|March 17, 2023
Assessing rheoencephalography dynamics through analysis of the interactions among brain and cardiac networks during general anesthesiaCarmen González, Gabriel Garcia-Hernando, Erik W Jensen, 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
Human emotion recognition using heart rate variability analysis with spectral bands based on respirationMaría Teresa Valderas, Juan Bolea, Pablo Laguna, et al.
Physiological Measurement|July 12, 2019
Mutual information between heart rate variability and respiration for emotion characterizationMaría Teresa Valderas, Juan Bolea, Pablo Laguna, et al.
Pageof 6

Showing results (1-10 of 53) with videos related to

Sort By:
Pageof 6
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.
Entropy (Basel, Switzerland)|December 3, 2020
Entropy Measures as Descriptors to Identify Apneas in Rheoencephalographic SignalsCarmen González, Erik Jensen, Pedro Gambús, et al.
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.
Computer Methods and Programs in Biomedicine|April 26, 2005
Correlation dimension analysis of heart rate variability in patients with dilated cardiomyopathyRaúl Carvajal, Niels Wessel, Montserrat Vallverdú, et al.
Biomedizinische Technik. Biomedical Engineering|October 26, 2006
Non-linear dynamic analysis of the cardiac rhythm during transient myocardial ischemiaPedro Gomis, Pere Caminal, Montserrat Vallverdú, et al.
Plos One|December 12, 2018
Poincaré plot analysis of cerebral blood flow signals: Feature extraction and classification methods for apnea detectionCarmen González, Erik W Jensen, Pedro L Gambús, et al.
Methods of Information in Medicine|February 24, 2018
Time-frequency Features for Impedance Cardiography Signals During Anesthesia Using Different Distribution KernelsJesús Escrivá Muñoz, Pedro Gambús, Erik W Jensen, et al.
Frontiers in Network Physiology|March 17, 2023
Assessing rheoencephalography dynamics through analysis of the interactions among brain and cardiac networks during general anesthesiaCarmen González, Gabriel Garcia-Hernando, Erik W Jensen, 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
Human emotion recognition using heart rate variability analysis with spectral bands based on respirationMaría Teresa Valderas, Juan Bolea, Pablo Laguna, et al.
Physiological Measurement|July 12, 2019
Mutual information between heart rate variability and respiration for emotion characterizationMaría Teresa Valderas, Juan Bolea, Pablo Laguna, et al.
Pageof 6