Pregled bibliografske jedinice broj: 1130870
Analysis of autonomic nervous system biosignals
Analysis of autonomic nervous system biosignals // CMBEBIH 2021 : Proceedings of the International conference on medical and biological engineering / Badnjević, Almir ; Gurbeta Pokvić, Lejla (ur.).
Cham: Springer, 2021. str. 20-27 doi:10.1007/978-3-030-73909-6_3 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1130870 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Analysis of autonomic nervous system biosignals
Autori
Krbot Skorić, Magdalena ; Adamec, Ivan ; Cifrek, Mario ; Habek, Mario
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
CMBEBIH 2021 : Proceedings of the International conference on medical and biological engineering
/ Badnjević, Almir ; Gurbeta Pokvić, Lejla - Cham : Springer, 2021, 20-27
ISBN
978-3-030-73908-9
Skup
CMBEBIH 2021 International Conference on Medical and Biological Engineering
Mjesto i datum
Mostar, Bosna i Hercegovina, 21.04.2021. - 24.04.2021
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
autonomic nervous system ; signal processing ; heart rate variability (HRV) ; baroreflex sensitivity index (BRS)
Sažetak
Autonomic nervous system (ANS) regulates many important systems in the human body, such as blood pressure, heart rate, digestion, respiratory system and many others. Dysfunction of the ANS is related to disorders in different systems in the human body, and it can be recognizable in the ANS biosignals. Digital signal processing (DSP) of the ANS biosignals provides information about the functioning of the autonomic nervous system, which is very useful in everyday clinical practice. There is a large variety of different methods for ANS signals analysis, with different features extracted. Due to the increase in the collectible amount of data, there is a growing demand for the automatization of the signal analysis process, which could reduce human error, save time and improve the quality and the accuracy of the calculated results.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Kliničke medicinske znanosti
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb,
Medicinski fakultet, Zagreb,
Klinički bolnički centar Zagreb
Profili:
Ivan Adamec
(autor)
MAGDALENA KRBOT SKORIĆ
(autor)
Mario Cifrek
(autor)
Mario Habek
(autor)