Pregled bibliografske jedinice broj: 715212
Automatic Prediction of Falls via Heart Rate Variability and Data Mining in Hypertensive Patients: The SHARE Project Experience
Automatic Prediction of Falls via Heart Rate Variability and Data Mining in Hypertensive Patients: The SHARE Project Experience // IFMBE Proceedings Volume 45 / Lacković, Igor ; Vasić, Darko (ur.).
Dubrovnik, Hrvatska: International Federation of Medical and Biological Engineering (IFMBE), 2014. str. 42-45 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 715212 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Automatic Prediction of Falls via Heart Rate Variability and Data Mining in Hypertensive Patients: The SHARE Project Experience
Autori
Melillo, Paolo ; Jović, Alan ; De Luca, Nicola ; Morgan, Stephen P ; Pecchia, Leandro
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
IFMBE Proceedings Volume 45
/ Lacković, Igor ; Vasić, Darko - : International Federation of Medical and Biological Engineering (IFMBE), 2014, 42-45
ISBN
978-3-319-11127-8
Skup
6th European Conference of the International Federation for Medical and Biological Engineering
Mjesto i datum
Dubrovnik, Hrvatska, 07.09.2014. - 11.09.2014
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
heart rate variability (HRV); accidental falls; fall risk factors; falls prediction; data mining.
Sažetak
Accidental falls in elderly is a major problem. This paper presents the preliminary results of a retrospective study investigating association between Heart Rate Variability (HRV) measures and risk of falling, analyzing 168 clinical 24- hour ECG recording from hypertensive patients, 47 of them experienced at least one fall in the three months before/after the registration. Several HRV patterns, based on 68 linear and non-linear HRV measures, were analyzed in relation to falls using advanced statistical and data mining methods. The results demonstrated that there is a significant association between a depressed HRV and the risk of falling, suggesting that a depressed HRV could be a new independent risk factor for falls with an odds ratio of 5.12 (CI 95% 1.42-18.41 ; p<0.01).
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
