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

Jon Urteaga

Showing results (1-10 of 5) with videos related to

Pageof 1
Sort By:
Entropy (Basel, Switzerland)|July 2, 2021
A Machine Learning Model for the Prognosis of Pulseless Electrical Activity during Out-of-Hospital Cardiac ArrestJon Urteaga, Elisabete Aramendi, Andoni Elola, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
A Random Forest Model for Pulseless Electrical Activity Prognosis Prediction During Out-of-Hospital Cardiac Arrest Using Invasive Blood PressureJon Urteaga, Andoni Elola, Per O Berve, et al.
International Journal of Medical Informatics|February 1, 2025
A deep learning model for QRS delineation in organized rhythms during in-hospital cardiac arrestJon Urteaga, Andoni Elola, Daniel Herráez, et al.
Resuscitation Plus|March 18, 2024
Machine learning model to predict evolution of pulseless electrical activity during in-hospital cardiac arrestJon Urteaga, Andoni Elola, Anders Norvik, et al.
Resuscitation Plus|October 6, 2025
Realtime detection of spontaneous circulation in humans during cardiopulmonary resuscitation using a continuous hands-free carotid Doppler: a pilot studyGuro Mæhlum Krüger, Sunniva Gjerald Birkeli, Øystein Myrlund Hansen, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Entropy (Basel, Switzerland)|July 2, 2021
A Machine Learning Model for the Prognosis of Pulseless Electrical Activity during Out-of-Hospital Cardiac ArrestJon Urteaga, Elisabete Aramendi, Andoni Elola, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
A Random Forest Model for Pulseless Electrical Activity Prognosis Prediction During Out-of-Hospital Cardiac Arrest Using Invasive Blood PressureJon Urteaga, Andoni Elola, Per O Berve, et al.
International Journal of Medical Informatics|February 1, 2025
A deep learning model for QRS delineation in organized rhythms during in-hospital cardiac arrestJon Urteaga, Andoni Elola, Daniel Herráez, et al.
Resuscitation Plus|March 18, 2024
Machine learning model to predict evolution of pulseless electrical activity during in-hospital cardiac arrestJon Urteaga, Andoni Elola, Anders Norvik, et al.
Resuscitation Plus|October 6, 2025
Realtime detection of spontaneous circulation in humans during cardiopulmonary resuscitation using a continuous hands-free carotid Doppler: a pilot studyGuro Mæhlum Krüger, Sunniva Gjerald Birkeli, Øystein Myrlund Hansen, et al.
Pageof 1