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Št. zadetkov: 2
Examining the potential of autoencoders for automatic feature extraction in wireless cognitive load inference
Anže Kristan, Veljko Pejović, Daniel Pellarini
Diplomsko delo
Oznake: autoencoder;cognitive load;computer and information science;diploma thesis;
Understanding a user's cognitive load could enable a range of applications, from better driving assistance solutions, to educational games. This thesis analyses data from a wireless cognitive load inference study and examines the potential of autoencoders for extracting features from this data. Th ...
Leto: 2021 Vir: Fakulteta za računalništvo in informatiko (UL FRI)
Predicting vasovagal syncope during head-up tilt test
Matjaž Klemenc, Daniel Pellarini, Aleš Papič, Pavlin Gregor Poličar, Dejan Štepec, Zoran Bosnić
Izvirni znanstveni članek
Oznake: analitično modeliranje;tilt test;sprememba srčne frekvence;strojno učenje;sinkopa;analytical modeling;head-up tilt test;heart rate variability;machine learning;vasovagal syncope;
Introduction: Syncope prediction during head-up tilt testing (HUTT) remains challenging due to the complex interplay between autonomic and cardiovascular responses. This study investigates three computational approaches to forecast HUTT outcomes using continuous electrocardiogram (ECG) and blood pre ...
Leto: 2026 Vir: Fakulteta za računalništvo in informatiko (UL FRI)
Št. zadetkov: 2
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