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A Time-Domain Based Lossless Data Compression Technique for Wireless Wearable Biometric Devices

Authors:
Chengliang Dai
Christopher Bailey

Keywords: Wearable device; Bioelectric data; Lossless compression technique; Power consumption

Abstract:
This paper presents a promising lossless compres- sion technique called Log2 Sub-band encoding, which is suitable for implementing on wireless wearable biometric devices. Data compression promises a power saving from the transceiver during the data transmission and further extends battery lifetime on a device. The performance of this technique is measured in term of compression ratio (CR). Our simulations suggest a CR that is comparable, and indeed superior to the combination of Differential pulse-code modulation (DPCM) and Huffman coding, whilst using minimal hardware. The simulations primarily use electroencephalogram (EEG) data, and a estimated power saving is given whilst the implementation issues and possible influence of different biomedical data on technique′s performance will also be considered.

Pages: 104 to 107

Copyright: Copyright (c) IARIA, 2013

Publication date: August 25, 2013

Published in: conference

ISSN: 2308-4405

ISBN: 978-1-61208-296-7

Location: Barcelona, Spain

Dates: from August 25, 2013 to August 31, 2013