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Illia Fedorin
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Conference and Workshop Papers
- 2023
- [c8]Illia Fedorin, Anastasiia Smielova, Margaryta Nastenko, Illia Krasnoshchok:
Forecasting of breathing events during nocturnal sleep using encoder-decoder recurrent neural network based on a sensors data of consumer smartwatches. EMBC 2023: 1-4 - 2022
- [c7]Illia Fedorin, Vitalii Pohribnyi, Denys Sverdlov, Illia Krasnoshchok:
Lightweight neural network based model for real-time precise HR monitoring during high intensity workout using consumer smartwatches. EMBC 2022: 1310-1313 - [c6]Illia Fedorin, Vitalii Pohribnyi, Denys Sverdlov, Illia Krasnoshchok:
Neural network based algorithm for a spectrogram classification of wrist-type PPG using high-order harmonics processing. EMBC 2022: 3405-3408 - 2021
- [c5]Illia Fedorin, Kostyantyn Slyusarenko:
Consumer Smartwatches As a Portable PSG: LSTM Based Neural Networks for a Sleep-Related Physiological Parameters Estimation. EMBC 2021: 849-452 - [c4]Illia Fedorin, Kostyantyn Slyusarenko, Vitalii Pohribnyi, JongSeok Yoon, Gunguk Park, Hyunsu Kim:
Heart rate trend forecasting during high-intensity interval training using consumer wearable devices. MobiCom 2021: 855-857 - 2020
- [c3]Kostyantyn Slyusarenko, Illia Fedorin:
Smart alarm based on sleep stages prediction. EMBC 2020: 4286-4289 - [c2]Illia Fedorin, Kostyantyn Slyusarenko, Margaryta Nastenko:
Respiratory events screening using consumer smartwatches. UbiComp/ISWC Adjunct 2020: 25-28 - 2019
- [c1]Kostyantyn Slyusarenko, Illia Fedorin, Wonkyu Lee:
Sleep stages classifier with eliminated apnea impact. UbiComp/ISWC Adjunct 2019: 210-213
Coauthor Index
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