Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Carolina Migliorelli

Showing results (1-10 of 16) with videos related to

Pageof 2
Sort By:
Nutrients|April 28, 2023
A Tailored and Engaging mHealth Gamified Framework for Nutritional Behaviour ChangeSilvia Orte, Carolina Migliorelli, Laura Sistach-Bosch, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Time Series Glucose Level Detection in fuel-cell based sensors Using Machine Learning: A Comparative Study of K-NN with Dynamic Time Warping and XGBoostMarta Picazo-Cot, Luis Marte, Oriol Guardia-Olivella, et al.
Journal of Neural Engineering|March 3, 2016
Influence of metallic artifact filtering on MEG signals for source localization during interictal epileptiform activityCarolina Migliorelli, Joan F Alonso, Sergio Romero, 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
Reduction of metallic interference in MEG signals using AMUSECarolina Migliorelli, Sergio Romero, Joan F Alonso, et al.
Journal of Neural Engineering|March 23, 2017
Automated detection of epileptic ripples in MEG using beamformer-based virtual sensorsCarolina Migliorelli, Joan F Alonso, Sergio Romero, et al.
Journal of Neural Engineering|May 28, 2015
Automatic BSS-based filtering of metallic interference in MEG recordings: definition and validation using simulated signalsCarolina Migliorelli, Joan F Alonso, Sergio Romero, et al.
Entropy (Basel, Switzerland)|August 27, 2021
Choosing Strategies to Deal with Artifactual EEG Data in Children with Cognitive ImpairmentAna Tost, Carolina Migliorelli, Alejandro Bachiller, et al.
Journal of Neural Engineering|August 4, 2022
Influence of the number of trials on evoked motor cortical activity in EEG recordingsMarta Borràs, Sergio Romero, Joan F Alonso, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Enhancing Stroke Severity Evaluation: A Machine Learning Approach to Mortality Prediction Versus Traditional ScalesOier Segura, Luis Marte, Laura Ros-Freixedes, et al.
Journal of Neural Engineering|August 12, 2021
Improving the ripple classification in focal pediatric epilepsy: identifying pathological high-frequency oscillations by Gaussian mixture model clusteringCarolina Migliorelli, Sergio Romero, Alejandro Bachiller, et al.
Pageof 2

Showing results (1-10 of 16) with videos related to

Sort By:
Pageof 2
Nutrients|April 28, 2023
A Tailored and Engaging mHealth Gamified Framework for Nutritional Behaviour ChangeSilvia Orte, Carolina Migliorelli, Laura Sistach-Bosch, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Time Series Glucose Level Detection in fuel-cell based sensors Using Machine Learning: A Comparative Study of K-NN with Dynamic Time Warping and XGBoostMarta Picazo-Cot, Luis Marte, Oriol Guardia-Olivella, et al.
Journal of Neural Engineering|March 3, 2016
Influence of metallic artifact filtering on MEG signals for source localization during interictal epileptiform activityCarolina Migliorelli, Joan F Alonso, Sergio Romero, 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
Reduction of metallic interference in MEG signals using AMUSECarolina Migliorelli, Sergio Romero, Joan F Alonso, et al.
Journal of Neural Engineering|March 23, 2017
Automated detection of epileptic ripples in MEG using beamformer-based virtual sensorsCarolina Migliorelli, Joan F Alonso, Sergio Romero, et al.
Journal of Neural Engineering|May 28, 2015
Automatic BSS-based filtering of metallic interference in MEG recordings: definition and validation using simulated signalsCarolina Migliorelli, Joan F Alonso, Sergio Romero, et al.
Entropy (Basel, Switzerland)|August 27, 2021
Choosing Strategies to Deal with Artifactual EEG Data in Children with Cognitive ImpairmentAna Tost, Carolina Migliorelli, Alejandro Bachiller, et al.
Journal of Neural Engineering|August 4, 2022
Influence of the number of trials on evoked motor cortical activity in EEG recordingsMarta Borràs, Sergio Romero, Joan F Alonso, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Enhancing Stroke Severity Evaluation: A Machine Learning Approach to Mortality Prediction Versus Traditional ScalesOier Segura, Luis Marte, Laura Ros-Freixedes, et al.
Journal of Neural Engineering|August 12, 2021
Improving the ripple classification in focal pediatric epilepsy: identifying pathological high-frequency oscillations by Gaussian mixture model clusteringCarolina Migliorelli, Sergio Romero, Alejandro Bachiller, et al.
Pageof 2