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Vadim Gliner

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

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Physiological Measurement|September 7, 2018
An SVM approach for identifying atrial fibrillationVadim Gliner, Yael Yaniv
JMIR Mhealth and Uhealth|May 24, 2018
Novel Method to Efficiently Create an mHealth App: Implementation of a Real-Time Electrocardiogram R Peak DetectorVadim Gliner, Joachim Behar, Yael Yaniv
Scientific Reports|August 28, 2023
Using domain adaptation for classification of healthy and disease conditions from mobile-captured images of standard 12-lead electrocardiogramsVadim Gliner, Vladimir Makarov, Arutyun I Avetisyan, et al.
Scientific Reports|October 2, 2020
Automatic classification of healthy and disease conditions from images or digital standard 12-lead electrocardiogramsVadim Gliner, Noam Keidar, Vladimir Makarov, et al.
NPJ Digital Medicine|February 17, 2025
Clinically meaningful interpretability of an AI model for ECG classificationVadim Gliner, Idan Levy, Kenta Tsutsui, et al.
Pageof 1

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

Sort By:
Pageof 1
Physiological Measurement|September 7, 2018
An SVM approach for identifying atrial fibrillationVadim Gliner, Yael Yaniv
JMIR Mhealth and Uhealth|May 24, 2018
Novel Method to Efficiently Create an mHealth App: Implementation of a Real-Time Electrocardiogram R Peak DetectorVadim Gliner, Joachim Behar, Yael Yaniv
Scientific Reports|August 28, 2023
Using domain adaptation for classification of healthy and disease conditions from mobile-captured images of standard 12-lead electrocardiogramsVadim Gliner, Vladimir Makarov, Arutyun I Avetisyan, et al.
Scientific Reports|October 2, 2020
Automatic classification of healthy and disease conditions from images or digital standard 12-lead electrocardiogramsVadim Gliner, Noam Keidar, Vladimir Makarov, et al.
NPJ Digital Medicine|February 17, 2025
Clinically meaningful interpretability of an AI model for ECG classificationVadim Gliner, Idan Levy, Kenta Tsutsui, et al.
Pageof 1