Title :
Comparison of Lifting and B-spline DWT Implementations for Implantable Neuroprosthetics
Author :
Kamboh, Awais M. ; Mason, Andrew
Author_Institution :
Michigan State Univ., East Lansing
Abstract :
The discrete wavelet transform (DWT) has been shown to provide exceptionally efficient data compression for neural records. This paper describes area-power minimized hardware implementations of the lifting and B-spline DWT schemes for multi-level, multi-channel DWT and analyzes their performance tradeoffs for implantable neuroprosthetics. The lifting scheme is shown to be increasingly superior for a larger number of input channels.
Keywords :
biomedical electronics; data compression; discrete wavelet transforms; medical signal processing; neurophysiology; prosthetics; splines (mathematics); B-spline DWT implementation; data compression; discrete wavelet transform; implantable neuroprosthetics; lifting implementation; Data compression; Discrete wavelet transforms; Finite impulse response filter; Hardware; Implants; Modems; Neural prosthesis; Power dissipation; Spline; Wavelet transforms;
Conference_Titel :
Sensors, 2006. 5th IEEE Conference on
Conference_Location :
Daegu
Print_ISBN :
1-4244-0375-8
Electronic_ISBN :
1930-0395
DOI :
10.1109/ICSENS.2007.355591
