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Št. zadetkov: 2
Large-scale real-world smartphone photoplethysmography datasets for vascular assessment
Stevan Jokić, Ivan Jokić, Nenad Gligorić, Aneta Kartali, Octavian-Mihai Machidon
Izvirni znanstveni članek
Oznake: fotopletizmografija;pametni telefoni;zaznavanje s pametnimi telefoni;obdelava biosignalov;strojno učenje;žilno staranje;bioelektronika;mobilno zdravje;photoplethysmography;smartphone sensing;biosignal processing;machine learning;vascular aging;bioelectronics;mobile health;signal morphology;
The development of reliable smartphone-based methods for vascular assessment is limited by the scarcity of large-scale, high-quality, real-world photoplethysmography (PPG) datasets. This work introduces two openly reusable smartphone camera-based PPG datasets curated from over one million unconstrai ...
Leto: 2026 Vir: Fakulteta za računalništvo in informatiko (UL FRI)
Privacy-preserving adaptive arrhythmia monitoring with wearable ECG, smartphone PPG, and federated on-device learning
Aneta Kartali, Marija Koshtrevska, Stevan Jokić, Nenad Gligorić, Octavian-Mihai Machidon
Izvirni znanstveni članek
Oznake: spremljanje aritmij;federativno učenje;mobilno zdravje;umetna inteligenca na napravi;fotopletizmografija;zdravstveno varstvo z ohranjanjem zasebnosti;samonadzorovano učenje;nosljivi EKG;arrhythmia monitoring;federated learning;mobile health;on-device AI;PPG;privacy-preserving healthcare;self-supervised learning;wearable ECG;
Introduction: Wearable electrocardiography (ECG) and smartphone technology create new opportunities for arrhythmia monitoring outside clinical environments. However, deployable mobile cardiac systems must address more than just classification accuracy. They must reliably acquire physiological signal ...
Leto: 2026 Vir: Fakulteta za računalništvo in informatiko (UL FRI)
Št. zadetkov: 2
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