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
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;
Conference_Titel :
Global Conference on Signal and Information Processing (GlobalSIP), 2013 IEEE
Conference_Location :
Austin, TX
DOI :
10.1109/GlobalSIP.2013.6736976