Pregled bibliografske jedinice broj: 580510
Towards continuous wheeze detection body sensor node as a core of asthma monitoring system
Towards continuous wheeze detection body sensor node as a core of asthma monitoring system // 2nd International ICST Conference (MobiHealth 2011) Wireless Mobile Communication and Healthcare : selected papers / Nikita, K.S. ; Lin, J.C. ; Fotiadis, D.I. ; Arredondo Waldmeyer, M.-T. (ur.).
Kos, Grčka: Springer, 2012. str. 165-172 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
Towards continuous wheeze detection body sensor node as a core of asthma monitoring system
Autori
Oletić, Dinko ; Arsenali, Bruno ; Bilas, Vedran
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
2nd International ICST Conference (MobiHealth 2011) Wireless Mobile Communication and Healthcare : selected papers
/ Nikita, K.S. ; Lin, J.C. ; Fotiadis, D.I. ; Arredondo Waldmeyer, M.-T. - : Springer, 2012, 165-172
ISBN
978-3-642-29733-5
Skup
International ICST Conference (2 ; 2011)
Mjesto i datum
Kos, Grčka, 05.10.2011. - 07.10.2011
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
asthma telemonitoring; body sensor networks; wheeze detection; LPC; Durbin's recursion
Sažetak
This article presents a wheeze detection method for wearable body sensor nodes used in management of asthma. Firstly, a short review of current state of telemonitoring in management of chronic asthma is given. A concept of the asthma monitoring system built around a body sensor node analysing respiratory sounds is proposed, with a smart phone as a self-management center and additional sensor nodes for environment monitoring. In search for a wheeze detection algorithm suitable for low power continuous operation on wireless sensor node, a simple algorithm based on the 4-th order linear prediction coeficients (LPC) method is presented. Predictor error energy ratio of Durbin's algorithm is used as the only feature. Algorithm is implemented on low power digital signal processor (DSP) to evaluate its performance. Sensitivity (SE) of 70.9%, speci city (SP) 98.6% and accuracy (ACC) of 90.29% are achieved using pre-recorded test signals. Program complexity is analysed in order to identify possibilities of lowering power consumption.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
POVEZANOST RADA
Projekti:
036-0361621-1625 - Inteligentni sustavi za mjerenje teško mjerljivih veličina (Bilas, Vedran, MZO ) ( CroRIS)
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb