Source Recovery for Body Sensor Network

Lo, B., Deligianni, F. and Yang, G.-Z. (2006) Source Recovery for Body Sensor Network. In: International Workshop on Wearable and Implantable Body Sensor Networks (BSN'06), Cambridge, MA, USA, 03-05 Apr 2006, ISBN 9780769525471 (doi:10.1109/BSN.2006.51)

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To accurately capture clinically relevant episodes with body sensor networks (BSNs), multi-sensor fusion is essential for extracting intrinsic physiological and contextual information. Due to the heterogeneous nature of the sensors compounded by the mixture of signals across different sensor channels, this process can be practically difficult. The purpose of this paper is to describe the use of source separation for BSN based on independent component analysis (ICA). We demonstrate how this can be used in practical BSN experiments when the number of sensing channels is limited.

Item Type:Conference Proceedings
Glasgow Author(s) Enlighten ID:Deligianni, Dr Fani
Authors: Lo, B., Deligianni, F., and Yang, G.-Z.
College/School:College of Science and Engineering > School of Computing Science
Published Online:24 April 2006

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