Zobrazeno 1 - 10
of 54 591
pro vyhledávání: '"ECG Signals"'
Autor:
Aghaomidi, Poorya, Wang, Ge
Accurate sleep stage classification is essential for understanding sleep disorders and improving overall health. This study proposes a novel three-stage approach for sleep stage classification using ECG signals, offering a more accessible alternative
Externí odkaz:
http://arxiv.org/abs/2412.01929
Autor:
Tuncer, Turker1 (AUTHOR) turkertuncer@firat.edu.tr, Baig, Abdul Hafeez2 (AUTHOR) abdul.hafeez-baig@unisq.edu.au, Aydemir, Emrah3 (AUTHOR) emrahaydemir@sakarya.edu.tr, Kivrak, Tarik4 (AUTHOR) tkivrak@firat.edu.tr, Tuncer, Ilknur5 (AUTHOR) ilknur.tuncer@icisleri.gov.tr, Tasci, Gulay6 (AUTHOR) akcagulay01@gmail.com, Dogan, Sengul1 (AUTHOR) sdogan@firat.edu.tr
Publikováno v:
Diagnostics (2075-4418). Dec2024, Vol. 14 Issue 23, p2712. 21p.
This work presents our team's (SignalSavants) winning contribution to the 2024 George B. Moody PhysioNet Challenge. The Challenge had two goals: reconstruct ECG signals from printouts and classify them for cardiac diseases. Our focus was the first ta
Externí odkaz:
http://arxiv.org/abs/2410.14185
Autor:
Joloudari, Javad Hassannataj, Maftoun, Mohammad, Nakisa, Bahareh, Alizadehsani, Roohallah, Yadollahzadeh-Tabari, Meisam
The Complex Emotion Recognition System (CERS) deciphers complex emotional states by examining combinations of basic emotions expressed, their interconnections, and the dynamic variations. Through the utilization of advanced algorithms, CERS provides
Externí odkaz:
http://arxiv.org/abs/2409.07493
Electrocardiogram (ECG) signals can frequently be affected by the introduction of noise and artifacts. Since these types of signal corruptions disrupt the accurate interpretation of ECG signals, noise and artifacts must be eliminated during the prepr
Externí odkaz:
http://arxiv.org/abs/2406.01023
Autor:
Ibtehaz, Nabil, Mortazavi, Masood
Publikováno v:
ICLR 2024 Workshop on Learning from Time Series For Health
Electrocardiogram (ECG) signals, profiling the electrical activities of the heart, are used for a plethora of diagnostic applications. However, ECG systems require multiple leads or channels of signals to capture the complete view of the cardiac syst
Externí odkaz:
http://arxiv.org/abs/2405.19359
Autor:
Bayani, Ali1 (AUTHOR), Kargar, Masoud1 (AUTHOR) kargar@iaut.ac.ir
Publikováno v:
Physiological Reports. Sep2024, Vol. 12 Issue 17, p1-23. 23p.
Akademický článek
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Autor:
Alreshidi, Fayez Saud1 (AUTHOR), Alsaffar, Mohammad2 (AUTHOR), Chengoden, Rajeswari3 (AUTHOR) rajeswari.c@vit.ac.in, Alshammari, Naif Khalaf4 (AUTHOR)
Publikováno v:
Scientific Reports. 9/9/2024, Vol. 14 Issue 1, p1-19. 19p.
Stress recognition through physiological signals such as Electrocardiogram (ECG) signals has garnered significant attention. Traditionally, research in this field predominantly focused on utilizing handcrafted features or raw signals as inputs for le
Externí odkaz:
http://arxiv.org/abs/2404.00827