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

Unai Irusta

Showing results (11-20 of 46) with videos related to

Pageof 5
Sort By:
Medical & Biological Engineering & Computing|September 15, 2018
ECG-based pulse detection during cardiac arrest using random forest classifierAndoni Elola, Elisabete Aramendi, Unai Irusta, et al.
Entropy (Basel, Switzerland)|December 3, 2020
Deep Neural Networks for ECG-Based Pulse Detection during Out-of-Hospital Cardiac ArrestAndoni Elola, Elisabete Aramendi, Unai Irusta, et al.
Resuscitation|February 11, 2012
A high-temporal resolution algorithm to discriminate shockable from nonshockable rhythms in adults and childrenUnai Irusta, Jesús Ruiz, Elisabete Aramendi, et al.
Biomed Research International|February 15, 2014
Rhythm analysis during cardiopulmonary resuscitation: past, present, and futureSofia Ruiz de Gauna, Unai Irusta, Jesus Ruiz, 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 18, 2020
Impedance Based Automatic Detection of Ventilations During Mechanical Cardiopulmonary ResuscitationXabier Jaureguibeitia, Unai Irusta, Elisabete Aramendi, 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 18, 2020
Convolutional Recurrent Neural Networks to Characterize the Circulation Component in the Thoracic Impedance during Out-of-Hospital Cardiac ArrestAndoni Elola, Elisabete Aramendi, Unai Irusta, 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 18, 2020
A Robust Machine Learning Architecture for a Reliable ECG Rhythm Analysis during CPRIraia Isasi, Unai Irusta, Andoni Elola, et al.
Resuscitation|February 8, 2018
Evaluation of chest compression artefact removal based on rhythm assessments made by cliniciansErik Alonso, Elisabete Aramendi, Unai Irusta, et al.
IEEE Transactions on Bio-Medical Engineering|July 12, 2018
A Multistage Algorithm for ECG Rhythm Analysis During Piston-Driven Mechanical Chest CompressionsIraia Isasi, Unai Irusta, Elisabete Aramendi, et al.
Resuscitation|September 19, 2007
A method to remove CPR artefacts from human ECG using only the recorded ECGSofia Ruiz de Gauna, Jesus Ruiz, Unai Irusta, et al.
Pageof 5

Showing results (11-20 of 46) with videos related to

Sort By:
Pageof 5
Medical & Biological Engineering & Computing|September 15, 2018
ECG-based pulse detection during cardiac arrest using random forest classifierAndoni Elola, Elisabete Aramendi, Unai Irusta, et al.
Entropy (Basel, Switzerland)|December 3, 2020
Deep Neural Networks for ECG-Based Pulse Detection during Out-of-Hospital Cardiac ArrestAndoni Elola, Elisabete Aramendi, Unai Irusta, et al.
Resuscitation|February 11, 2012
A high-temporal resolution algorithm to discriminate shockable from nonshockable rhythms in adults and childrenUnai Irusta, Jesús Ruiz, Elisabete Aramendi, et al.
Biomed Research International|February 15, 2014
Rhythm analysis during cardiopulmonary resuscitation: past, present, and futureSofia Ruiz de Gauna, Unai Irusta, Jesus Ruiz, 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 18, 2020
Impedance Based Automatic Detection of Ventilations During Mechanical Cardiopulmonary ResuscitationXabier Jaureguibeitia, Unai Irusta, Elisabete Aramendi, 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 18, 2020
Convolutional Recurrent Neural Networks to Characterize the Circulation Component in the Thoracic Impedance during Out-of-Hospital Cardiac ArrestAndoni Elola, Elisabete Aramendi, Unai Irusta, 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 18, 2020
A Robust Machine Learning Architecture for a Reliable ECG Rhythm Analysis during CPRIraia Isasi, Unai Irusta, Andoni Elola, et al.
Resuscitation|February 8, 2018
Evaluation of chest compression artefact removal based on rhythm assessments made by cliniciansErik Alonso, Elisabete Aramendi, Unai Irusta, et al.
IEEE Transactions on Bio-Medical Engineering|July 12, 2018
A Multistage Algorithm for ECG Rhythm Analysis During Piston-Driven Mechanical Chest CompressionsIraia Isasi, Unai Irusta, Elisabete Aramendi, et al.
Resuscitation|September 19, 2007
A method to remove CPR artefacts from human ECG using only the recorded ECGSofia Ruiz de Gauna, Jesus Ruiz, Unai Irusta, et al.
Pageof 5