Title :
Wireless sensor node for respiratory sounds monitoring
Author :
Oletic, Dinko ; Bilas, Vedran
Author_Institution :
Fac. of Electr. Eng. & Comput., Univ. of Zagreb, Zagreb, Croatia
Abstract :
Development of wearable sensor node for continuous monitoring of respiratory sounds presents several research challenges. In this article we analysed power consumption of such node in scenarios of on-node signal processing, and compressive sampling with low frequency data streaming. Onset of requirements defined by each scenario, we reviewed state of the art of recent commercial off-the-shelf (COTS) components for implementation of the sensor node. Power consumption on component scale was modelled by their spreadsheet data, and on scale of sensor node by behavioural diagrams. As a result, we estimated total sensor node power consumption and compared consumption shares of each subsystem. Total power consumption was estimated to 1.2-1.4 mW for continuously operating node.
Keywords :
medical signal processing; patient monitoring; power consumption; signal reconstruction; wireless sensor networks; COTS components; Power consumption; behavioural diagrams; commercial off-the-shelf components; compressive sampling; low frequency data streaming; on-node signal processing; power 1.2 mW to 1.4 mW; power consumption; respiratory sound monitoring; wireless sensor node; Compressed sensing; Digital signal processing; Micromechanical devices; Microphones; Monitoring; Power demand; body sensor network; compressive sensing; power management; respiratory sounds analysis; wheeze detection;
Conference_Titel :
Instrumentation and Measurement Technology Conference (I2MTC), 2012 IEEE International
Conference_Location :
Graz
Print_ISBN :
978-1-4577-1773-4
DOI :
10.1109/I2MTC.2012.6229559