Pregled bibliografske jedinice broj: 976638
Heart rate asymmetry as a new marker for neonatal stress
Heart rate asymmetry as a new marker for neonatal stress // Biomedical Signal Processing and Control, 47 (2019), 219-223 doi:10.1016/j.bspc.2018.08.027 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 976638 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Heart rate asymmetry as a new marker for neonatal stress
Autori
Kramarić, Karolina ; Šapina, Matej ; Garcin, Matthieu ; Milas, Krešimir ; Pirić, Marko ; Brdarić, Dario ; Lukić, Gordana ; Milas, Vesna ; Pušeljić, Silvija
Izvornik
Biomedical Signal Processing and Control (1746-8094) 47
(2019);
219-223
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
Autonomic nervous system ; Newborn ; Stress ; Poincaré plot ; Nonlinear analysis ; Heart rate asymmetry
Sažetak
The autocorrelation of the heart rate variability is presented by various methods and models, but Poincaré plots remain valuable analytic tools. Heart rate asymmetry analysis (HRA) is used for the quantification of unevenly distributed points above and below the line of identity. The aim of this work is to implement HRA analysis in newborns, to use it as a marker for acute stress. Forty healthy term newborn infants were included in the study. The protocol included two baseline phases, and two stress phases (heel stimulation and heel stick blood sampling), during which the heart rate was measured. Additionally, to the standard HRA indices, a new index (SKG) related to the first differences of the RR interval time series is introduced. A ROC curve analysis was applied to test the diagnostic properties of the asymmetry indices. With AUC significantly different from 0.5, the results show that HRA indices may be used as clinical markers. With higher AUC values (0.906 and 0.785), accuracy (87.5% and 81.3%) and sensitivity (87.5% and 81.3%), the SKG index outperformed the traditional indices. This novel application of HRA shows potential benefit in stress assessment of newborns, and in nonverbal patients in general.
Izvorni jezik
Engleski
Znanstvena područja
Temeljne medicinske znanosti, Javno zdravstvo i zdravstvena zaštita, Biotehnologija u biomedicini (prirodno područje, biomedicina i zdravstvo, biotehničko područje)
POVEZANOST RADA
Ustanove:
Klinički bolnički centar Osijek,
Zdravstveno veleučilište, Zagreb,
Medicinski fakultet, Osijek,
Veleučilište Velika Gorica,
Fakultet za dentalnu medicinu i zdravstvo, Osijek
Profili:
Silvija Pušeljić
(autor)
Karolina Kramarić
(autor)
Dario Brdarić
(autor)
Matej Šapina
(autor)
Vesna Milas
(autor)
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus