The BSN application and realization of FPGA system with a rapid signal compression algorithm

DOI

10.2991/icmt-13.2013.140How to use a DOI?

Keywords

BSN; FPGA; LADT; ECG.

Abstract

The applications of BSN (Body Sensor Network) require the wearable computing system’s power consumption as low as possible. Compared to other components, the wireless communication link is the most power demanding part of the BSN. While effective compression algorithm can sharply cut the data volume down and then reduce the wireless transmitting consumption. Based on this consideration, we studied the improved rapid LADT (Linear Approximation Distance Threshold) algorithm and develop a BSN platform based on FPGA (Field-Programmable Gate Array) to detect process, compress, record and transmit the ECG (Electrocardiograph) signals. Experiments showed that the improved rapid LADT algorithm can reduce the total number of occupied slices in FPGA system and efficiently compress signal data without change the feature of the ECG signals.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Sun Hao
AU  - Chen Wei
PY  - 2013/11
DA  - 2013/11
TI  - The BSN application and realization of FPGA system with a rapid signal compression algorithm
BT  - Proceedings of 3rd International Conference on Multimedia Technology(ICMT-13)
PB  - Atlantis Press
SP  - 1140
EP  - 1147
SN  - 1951-6851
UR  - https://doi.org/10.2991/icmt-13.2013.140
DO  - 10.2991/icmt-13.2013.140
ID  - Hao2013/11
ER  -