Neural Signal Processing using Discrete Wavelet Transform for Neural Interfaces

Author

Lee, Jongwoo ; Kipke, Datyl

Author_Institution

Michigan Univ., Ann Arbor, MI

fYear

2006

fDate

9-12 May 2006

Firstpage

169

Lastpage

172

Abstract

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

Keywords

application specific integrated circuits; biomedical electronics; cellular biophysics; discrete wavelet transforms; encoding; medical signal processing; neurophysiology; radio links; runlength codes; signal reconstruction; user interfaces; 2.5 V; 200 MHz; ALU; ASIC; RF links; TSMC technology; discrete wavelet transform algorithm; in-band noise rejection; neural interfaces; neural signal processing; run-length encoders; signal compression; signal reconstruction; Algorithm design and analysis; Application specific integrated circuits; Bismuth; Digital recording; Digital signal processing; Discrete wavelet transforms; Filters; Signal processing; Signal processing algorithms; Signal resolution; DWT; Neural recording; RLE; VLSI;

fLanguage

English

Publisher

ieee

Conference_Titel

Microtechnologies in Medicine and Biology, 2006 International Conference on

Conference_Location

Okinawa

Print_ISBN

1-4244-0337-5

Electronic_ISBN

1-4244-0338-3

Type

conf

DOI

10.1109/MMB.2006.251519

Filename

4281337