Pregled bibliografske jedinice broj: 847316
Comparison of Power-Efficiency of Asthmatic Wheezing Wearable Sensor Architectures
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)
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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