Paper Info
Title
Analysis of Lifting and B-Spline DWT Implementations for Implantable Neuroprosthetics
Abstract
The large amount of data generated by neuroprosthetic devices requires a high communication bandwidth for extra-cranial transmission, critically limiting the number and utility of wireless implantable applications. Discrete wavelet transform (DWT) can provide exceptionally efficient data compression for neural records. Two energy efficient hardware implementations for one dimensional, multi-level, multi-channel DWT have been compared to identify the optimal approach for real time processing within an implanted device. This paper defines area-power minimized hardware implementation of the lifting and B-spline DWT schemes and analyzes their performance tradeoffs for implantable neuroprosthetics. The lifting scheme is shown to be increasingly superior for a larger number of input channels.
Year
DOI
Venue
2008
10.1007/s11265-007-0155-5
Signal Processing Systems
Keywords
Field
DocType
neural interface,discrete wavelet transform,data compression,lifting,B-spline
B-spline,Neuroprosthetics,Wireless,Lifting scheme,Computer science,Efficient energy use,Communication channel,Real-time computing,Discrete wavelet transform,Data compression
Journal
Volume
Issue
ISSN
52
3
1939-8018
Citations 
PageRank 
References 
3
0.67
6
Authors
3
Name
Order
Citations
PageRank
Awais M. Kamboh1267.01
Andrew Mason2244.66
Karim G. Oweiss39612.88