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Neural Signal Processing using Discrete Wavelet Transform for Neural Interfaces

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2 Author(s)
Jongwoo Lee ; University of Michigan, 1301 Beal Ave. Ann Arbor MI 48109. Tel: +1-734-274-1520 Email: milaca@umich.edu ; Daryl Kipke

This paper presents a neural signal processing ASIC based on discrete wavelet transform (DWT). The recorded neural signals from 256 channels are analyzed by fast DWT algorithm with special ALUs, then, compressed by run-length encoders (RLE). The processed data are delivered through RF links and reconstructed in a host receiver. This design operates at 200 MHz clock with 2.5 V and was implemented with TSMC 0.25 mum technology. Recorded neural data test shows 1:89:3 (1.12%) compression rate and perfect in-band noise rejection

Published in:

Microtechnologies in Medicine and Biology, 2006 International Conference on

Date of Conference:

9-12 May 2006