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

David Atienza

Showing results (11-20 of 51) with videos related to

Pageof 6
Sort By:
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
Benchmark of EEG-based seizure detection algorithms with SzCORE<sup></sup>Clement Samanos, Jonathan Dan, David Atienza
Artificial Intelligence in Medicine|June 22, 2024
TEE4EHR: Transformer event encoder for better representation learning in electronic health recordsHojjat Karami, David Atienza, Anisoara Ionescu
Computer Methods and Programs in Biomedicine|August 20, 2023
A semi-supervised algorithm for improving the consistency of crowdsourced datasets: The COVID-19 case study on respiratory disorder classificationLara Orlandic, Tomas Teijeiro, David Atienza
IEEE Transactions on Bio-Medical Engineering|October 9, 2024
KID-PPG: Knowledge Informed Deep Learning for Extracting Heart Rate From a SmartwatchChristodoulos Kechris, Jonathan Dan, Jose Miranda, et al.
IEEE Transactions on Bio-Medical Engineering|June 24, 2021
Real-Time EEG-Based Cognitive Workload Monitoring on Wearable DevicesRenato Zanetti, Adriana Arza, Amir Aminifar, 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
Energy-aware embedded classifier design for real-time emotion analysisManoj Padmanabhan, Srinivasan Murali, Francisco Rincon, 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 11, 2021
ReBeatICG: Real-time Low-Complexity Beat-to-beat Impedance Cardiogram Delineation AlgorithmUna Pale, Nathan Muller, Adriana Arza, et al.
IEEE Transactions on Bio-Medical Engineering|May 25, 2011
Compressed sensing for real-time energy-efficient ECG compression on wireless body sensor nodesHossein Mamaghanian, Nadia Khaled, David Atienza, 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
Real-Time Cognitive Workload Monitoring Based on Machine Learning Using Physiological Signals in Rescue MissionsNiloofar Momeni, Fabio Dell'Agnola, Adriana Arza, et al.
IEEE Journal of Biomedical and Health Informatics|July 9, 2021
Personalized Real-Time Federated Learning for Epileptic Seizure DetectionSaleh Baghersalimi, Tomas Teijeiro, David Atienza, et al.
Pageof 6

Showing results (11-20 of 51) 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|December 3, 2025
Benchmark of EEG-based seizure detection algorithms with SzCORE<sup></sup>Clement Samanos, Jonathan Dan, David Atienza
Artificial Intelligence in Medicine|June 22, 2024
TEE4EHR: Transformer event encoder for better representation learning in electronic health recordsHojjat Karami, David Atienza, Anisoara Ionescu
Computer Methods and Programs in Biomedicine|August 20, 2023
A semi-supervised algorithm for improving the consistency of crowdsourced datasets: The COVID-19 case study on respiratory disorder classificationLara Orlandic, Tomas Teijeiro, David Atienza
IEEE Transactions on Bio-Medical Engineering|October 9, 2024
KID-PPG: Knowledge Informed Deep Learning for Extracting Heart Rate From a SmartwatchChristodoulos Kechris, Jonathan Dan, Jose Miranda, et al.
IEEE Transactions on Bio-Medical Engineering|June 24, 2021
Real-Time EEG-Based Cognitive Workload Monitoring on Wearable DevicesRenato Zanetti, Adriana Arza, Amir Aminifar, 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
Energy-aware embedded classifier design for real-time emotion analysisManoj Padmanabhan, Srinivasan Murali, Francisco Rincon, 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 11, 2021
ReBeatICG: Real-time Low-Complexity Beat-to-beat Impedance Cardiogram Delineation AlgorithmUna Pale, Nathan Muller, Adriana Arza, et al.
IEEE Transactions on Bio-Medical Engineering|May 25, 2011
Compressed sensing for real-time energy-efficient ECG compression on wireless body sensor nodesHossein Mamaghanian, Nadia Khaled, David Atienza, 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
Real-Time Cognitive Workload Monitoring Based on Machine Learning Using Physiological Signals in Rescue MissionsNiloofar Momeni, Fabio Dell'Agnola, Adriana Arza, et al.
IEEE Journal of Biomedical and Health Informatics|July 9, 2021
Personalized Real-Time Federated Learning for Epileptic Seizure DetectionSaleh Baghersalimi, Tomas Teijeiro, David Atienza, et al.
Pageof 6