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

Napredna pretraga

Pregled bibliografske jedinice broj: 847316

Comparison of Power-Efficiency of Asthmatic Wheezing Wearable Sensor Architectures


Oletić, Dinko; Bilas, Vedran
Comparison of Power-Efficiency of Asthmatic Wheezing Wearable Sensor Architectures // S-CUBE 2016 - 7th EAI International Conference on Sensor Systems and Software
Nica, Francuska, 2016. str. 1-13 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


CROSBI ID: 847316 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Comparison of Power-Efficiency of Asthmatic Wheezing Wearable Sensor Architectures

Autori
Oletić, Dinko ; Bilas, Vedran

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

Izvornik
S-CUBE 2016 - 7th EAI International Conference on Sensor Systems and Software / - , 2016, 1-13

Skup
S-CUBE 2016 - 7th EAI International Conference on Sensor Systems and Software

Mjesto i datum
Nica, Francuska, 01.12.2016. - 02.12.2016

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
m-health; body sensor networks; asthmatic wheeze detection; digital signal processing; compressed sensing; power-analysis

Sažetak
Power-requirements of a wireless wearable sensor for quantification of asthmatic wheezing in respiratory sounds, a typical symptom of chronic asthma, are analysed. Two converse sensor architectures are compared. One featuring processing-intensive on-board respiratory sound classification, and the other performing communication-intensive signal streaming, employing compressive sensing (CS) encoding for data-rate reduction, with signal reconstruction and classification performed on the peer mobile device. It is shown that lower total sensor power, ranging from 216 to 357 uW, may be obtained on the sensor streaming the CS encoded signal, operating at the compression rate higher than 2x. Total power-budget of 328 to 428 uW is shown required in the architecture with on-board processing.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika



POVEZANOST RADA


Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb

Profili:

Avatar Url Dinko Oletić (autor)

Avatar Url Vedran Bilas (autor)


Citiraj ovu publikaciju:

Oletić, Dinko; Bilas, Vedran
Comparison of Power-Efficiency of Asthmatic Wheezing Wearable Sensor Architectures // S-CUBE 2016 - 7th EAI International Conference on Sensor Systems and Software
Nica, Francuska, 2016. str. 1-13 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Oletić, D. & Bilas, V. (2016) Comparison of Power-Efficiency of Asthmatic Wheezing Wearable Sensor Architectures. U: S-CUBE 2016 - 7th EAI International Conference on Sensor Systems and Software.
@article{article, author = {Oleti\'{c}, Dinko and Bilas, Vedran}, year = {2016}, pages = {1-13}, keywords = {m-health, body sensor networks, asthmatic wheeze detection, digital signal processing, compressed sensing, power-analysis}, title = {Comparison of Power-Efficiency of Asthmatic Wheezing Wearable Sensor Architectures}, keyword = {m-health, body sensor networks, asthmatic wheeze detection, digital signal processing, compressed sensing, power-analysis}, publisherplace = {Nica, Francuska} }
@article{article, author = {Oleti\'{c}, Dinko and Bilas, Vedran}, year = {2016}, pages = {1-13}, keywords = {m-health, body sensor networks, asthmatic wheeze detection, digital signal processing, compressed sensing, power-analysis}, title = {Comparison of Power-Efficiency of Asthmatic Wheezing Wearable Sensor Architectures}, keyword = {m-health, body sensor networks, asthmatic wheeze detection, digital signal processing, compressed sensing, power-analysis}, publisherplace = {Nica, Francuska} }




Contrast
Increase Font
Decrease Font
Dyslexic Font