Pretražite po imenu i prezimenu autora, mentora, urednika, prevoditelja

Napredna pretraga

Pregled bibliografske jedinice broj: 605052

Monitoring respiratory sounds: Compressed sensing reconstruction via OMP on Android smartphone


Oletić, Dinko; Škrapec, Mateja; Bilas, Vedran
Monitoring respiratory sounds: Compressed sensing reconstruction via OMP on Android smartphone // MOBIHEALTH 2012 / Roa, Laura M. ; Bourbakis, Nikolaos (ur.).
Pariz: European Alliance for Innovation (EAI), 2012. str. 1-8 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


CROSBI ID: 605052 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Monitoring respiratory sounds: Compressed sensing reconstruction via OMP on Android smartphone

Autori
Oletić, Dinko ; Škrapec, Mateja ; Bilas, Vedran

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
MOBIHEALTH 2012 / Roa, Laura M. ; Bourbakis, Nikolaos - Pariz : European Alliance for Innovation (EAI), 2012, 1-8

Skup
MOBIHEALTH 2012 - 3rd International Conference on Wireless Mobile Communication and Healthcare

Mjesto i datum
Pariz, Francuska, 21.11.2012. - 23.11.2012

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
asthma; m-health; compressive sensing; orthogonal matching pursuit; smartphone; Android

Sažetak
We present a novel respiratory sounds monitoring concept based on compressive sensing (CS). Respiratory sounds are streamed from a body-worn sensor node to a smartphone where processing is conducted. CS is used to simultaneously lower sampling frequency on the sensor node and over- the-air data rate. In this study we emphasize compressed sensing reconstruction via orthogonal matching pursuit (OMP) on Android smartphone. Accuracy of the reconstruction and execution speed are investigated using synthetic signals. We demonstrate applicability of the technique in real-time reconstruction of at least 10 components of compressible DCT spectrum of respiratory sounds containing asthmatic wheezing, acquired at 4x lower sampling rate.

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

Profili:

Avatar Url Dinko Oletić (autor)

Avatar Url Vedran Bilas (autor)


Citiraj ovu publikaciju:

Oletić, Dinko; Škrapec, Mateja; Bilas, Vedran
Monitoring respiratory sounds: Compressed sensing reconstruction via OMP on Android smartphone // MOBIHEALTH 2012 / Roa, Laura M. ; Bourbakis, Nikolaos (ur.).
Pariz: European Alliance for Innovation (EAI), 2012. str. 1-8 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Oletić, D., Škrapec, M. & Bilas, V. (2012) Monitoring respiratory sounds: Compressed sensing reconstruction via OMP on Android smartphone. U: Roa, L. & Bourbakis, N. (ur.)MOBIHEALTH 2012.
@article{article, author = {Oleti\'{c}, Dinko and \v{S}krapec, Mateja and Bilas, Vedran}, year = {2012}, pages = {1-8}, keywords = {asthma, m-health, compressive sensing, orthogonal matching pursuit, smartphone, Android}, title = {Monitoring respiratory sounds: Compressed sensing reconstruction via OMP on Android smartphone}, keyword = {asthma, m-health, compressive sensing, orthogonal matching pursuit, smartphone, Android}, publisher = {European Alliance for Innovation (EAI)}, publisherplace = {Pariz, Francuska} }
@article{article, author = {Oleti\'{c}, Dinko and \v{S}krapec, Mateja and Bilas, Vedran}, year = {2012}, pages = {1-8}, keywords = {asthma, m-health, compressive sensing, orthogonal matching pursuit, smartphone, Android}, title = {Monitoring respiratory sounds: Compressed sensing reconstruction via OMP on Android smartphone}, keyword = {asthma, m-health, compressive sensing, orthogonal matching pursuit, smartphone, Android}, publisher = {European Alliance for Innovation (EAI)}, publisherplace = {Pariz, Francuska} }




Contrast
Increase Font
Decrease Font
Dyslexic Font