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Source Recovery for Body Sensor Network

Fani Deligianni, Benny Lo, Guang-Zhong Yang

Conference or Workshop Paper
International Workshop on Wearable and Implantable Body Sensor Networks 2006
April, 2006

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.

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