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

Alan Jovic

Showing results (1-10 of 9) with videos related to

Pageof 1
Sort By:
Sensors (Basel, Switzerland)|July 24, 2021
Intelligent Biosignal Analysis MethodsAlan Jovic
Artificial Intelligence in Medicine|October 29, 2010
Electrocardiogram analysis using a combination of statistical, geometric, and nonlinear heart rate variability featuresAlan Jovic, Nikola Bogunovic
Studies in Health Technology and Informatics|May 20, 2008
Semantic web ontology utilization for heart failure expert system designMarin Prcela, Dragan Gamberger, Alan Jovic
Sensors (Basel, Switzerland)|June 2, 2021
A Review of EEG Signal Features and their Application in Driver Drowsiness Detection SystemsIgor Stancin, Mario Cifrek, Alan Jovic
Sensors (Basel, Switzerland)|October 26, 2021
EEG Signal Multichannel Frequency-Domain Ratio Indices for Drowsiness Detection Based on Multicriteria OptimizationIgor Stancin, Nikolina Frid, Mario Cifrek, et al.
Healthcare Technology Letters|November 27, 2015
Automatic classifier based on heart rate variability to identify fallers among hypertensive subjectsPaolo Melillo, Alan Jovic, Nicola De Luca, et al.
Sensors (Basel, Switzerland)|January 10, 2026
Machine Learning-Based Risk Stratification for Sudden Cardiac Death Using Clinical and Device-Derived DataHana Ivandic, Branimir Pervan, Mislav Puljevic, et al.
Healthcare (Basel, Switzerland)|November 13, 2025
Improving Risk Stratification in Sudden Cardiac Death Using Interpretable Machine Learning: A Clinical PerspectiveHana Ivandic, Branimir Pervan, Vedran Velagic, et al.
Sensors (Basel, Switzerland)|January 25, 2025
Opportunities and Challenges for Clinical Practice in Detecting Depression Using EEG and Machine LearningDamir Mulc, Jaksa Vukojevic, Eda Kalafatic, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Sensors (Basel, Switzerland)|July 24, 2021
Intelligent Biosignal Analysis MethodsAlan Jovic
Artificial Intelligence in Medicine|October 29, 2010
Electrocardiogram analysis using a combination of statistical, geometric, and nonlinear heart rate variability featuresAlan Jovic, Nikola Bogunovic
Studies in Health Technology and Informatics|May 20, 2008
Semantic web ontology utilization for heart failure expert system designMarin Prcela, Dragan Gamberger, Alan Jovic
Sensors (Basel, Switzerland)|June 2, 2021
A Review of EEG Signal Features and their Application in Driver Drowsiness Detection SystemsIgor Stancin, Mario Cifrek, Alan Jovic
Sensors (Basel, Switzerland)|October 26, 2021
EEG Signal Multichannel Frequency-Domain Ratio Indices for Drowsiness Detection Based on Multicriteria OptimizationIgor Stancin, Nikolina Frid, Mario Cifrek, et al.
Healthcare Technology Letters|November 27, 2015
Automatic classifier based on heart rate variability to identify fallers among hypertensive subjectsPaolo Melillo, Alan Jovic, Nicola De Luca, et al.
Sensors (Basel, Switzerland)|January 10, 2026
Machine Learning-Based Risk Stratification for Sudden Cardiac Death Using Clinical and Device-Derived DataHana Ivandic, Branimir Pervan, Mislav Puljevic, et al.
Healthcare (Basel, Switzerland)|November 13, 2025
Improving Risk Stratification in Sudden Cardiac Death Using Interpretable Machine Learning: A Clinical PerspectiveHana Ivandic, Branimir Pervan, Vedran Velagic, et al.
Sensors (Basel, Switzerland)|January 25, 2025
Opportunities and Challenges for Clinical Practice in Detecting Depression Using EEG and Machine LearningDamir Mulc, Jaksa Vukojevic, Eda Kalafatic, et al.
Pageof 1