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Algorithms and circuits for truly wearable physiological monitoring

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Title: Algorithms and circuits for truly wearable physiological monitoring
Authors: Casson, AJ
Rodriguez-Villegas, E
Item Type: Conference Paper
Abstract: Truly wearable physiological sensors, monitoring for example breathing or the electroencephalogram (EEG), require accurate and reliable algorithms for the automated analysis of the collected signal. This facilitates real-time signal interpretation and reduces the burden on human interpreters. It is well known that to reduce the total device power in many physiological sensors the automated analysis is best carried out using dedicated circuits in the sensor device itself, rather than transmitting all of the raw data and using an external system for the processing. To allow the physiological sensor to operate from the physically smallest batteries and energy harvesters new algorithms optimized for low power operation are thus required. This results in designers being presented with new trade-offs between the algorithm performance (for example the number of correct detections of an event and the number of false detections) and the power consumption of the circuit implementation. This presentation explores the state-of-the-art algorithms and circuits for use in these situations, drawing on particular examples from algorithms and circuits for use in breathing monitoring and EEG analysis.
Content Version: Accepted version
Issue Date: 30-Sep-2011
URI: http://hdl.handle.net/10044/1/8984
Publisher Link: http://embc2011.embs.org/
Publisher: IEEE
Presented At: 33rd international conference of the IEEE Engineering in Medicine and Biology Society
Copyright Statement: © 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
Conference Location: Boston
Appears in Collections:Circuits and Systems