ASYNCHRONOUS BINARY
COMPRESSIVE SENSING FOR WIRELESS BODY SENSOR NETWORKS
Next-generation Wireless Body
Sensor Networks (WBSNs) calls for miniaturization and power-efficient
integration for long-term monitoring, real-time diagnostics and
patient-centered healthcare solutions. However, state-of-the-art WBSN
prototypes remain challenged by stringent power constraints and large form
factors. The recently proposed asynchronous compressive sensing scheme suggests
an efficient way to improve power consumption by reducing the data volume in
energy-hungry radio links. In this paper, we present a modified front-end
called Asynchronous Binary Compressive Sensing (ABCS) for WBSNs. A low-cost
reconstruction method is proposed that exploits the embedded binary signal
structure in the ABCS. By incorporating binary amplitude as a prior, better signal
recovery performance is obtained comparing with the traditional approaches.
Analyses and simulations with an ECG recording confirm the ABCS front-end
outperforms the conventional CS approaches in terms of hardware complexity,
power consumption and system flexibility.
Published in:
Date of
Conference:
11-13 Dec. 2013
Page(s):
121 - 126
Print ISBN:
978-0-7695-5159-3
INSPEC Accession
Number:
14077866
Conference
Location :
Dalian
Digital Object
Identifier :
Publisher:
IEEE
