DocumentCode :
3254942
Title :
Towards a smart sensor interface for wearable cough monitoring
Author :
Odame, Kofi ; Dingkun Du
Author_Institution :
Thayer Sch. of Eng., Dartmouth Coll., Hanover, NH, USA
fYear :
2013
fDate :
3-5 Dec. 2013
Firstpage :
654
Lastpage :
657
Abstract :
This paper discusses the design challenges that must be met by an audio sensor interface for use in a wearable cough monitoring device. In particular, the paper considers the issues of privacy, power consumption, reliable data collection, and patient identification. A nonlinear, reconfigurable architecture for the audio sensor interface is proposed to address some of these challenges. The new architecture is validated with simulation and measurement results.
Keywords :
body sensor networks; electrocardiography; electroencephalography; intelligent sensors; medical signal processing; patient monitoring; power consumption; ECG; EEG; audio sensor interface; measurement result; nonlinear reconfigurable architecture; patient identification; power consumption; reliable data collection; simulation result; smart sensor interface; wearable cough monitoring device; Bandwidth; Biomedical monitoring; Microphones; Monitoring; Passband; Power demand; Speech;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Conference on Signal and Information Processing (GlobalSIP), 2013 IEEE
Conference_Location :
Austin, TX
Type :
conf
DOI :
10.1109/GlobalSIP.2013.6736976
Filename :
6736976
Link To Document :
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