Title :
A 64-channel neural signal processor/ compressor based on Haar wavelet transform
Author :
Shaeri, Mohammad Ali ; Sodagar, Amir M. ; Abrishami-Moghaddam, Hamid
Author_Institution :
Dept. of Electr. & Comput. Eng., K.N. Toosi Univ. of Technol., Tehran, Iran
fDate :
Aug. 30 2011-Sept. 3 2011
Abstract :
A signal processor/compressor dedicated to implantable neural recording microsystems is presented. Signal compression is performed based on Haar wavelet. It is shown in this paper that, compared to other mathematical transforms already used for this purpose, compression of neural signals using this type of wavelet transform can be of almost the same quality, while demanding less circuit complexity and smaller silicon area. Designed in a 0.13-μm standard CMOS process, the 64-channel 8-bit signal processor reported in this paper occupies 113μm×110μm of silicon area. It operates under a 1.8-V supply voltage at a master clock frequency of 3.2MHz.
Keywords :
CMOS integrated circuits; Haar transforms; bioMEMS; biomedical electronics; data compression; digital signal processing chips; medical signal processing; microsensors; neurophysiology; prosthetics; wavelet transforms; CMOS process; Haar wavelet transform; frequency 3.2 MHz; implantable neural recording microsystems; neural signal compressor; neural signal processor; signal compression; size 110 mum; size 113 mum; voltage 1.8 V; Complexity theory; DH-HEMTs; Data compression; Discrete wavelet transforms; Hardware; Signal processing; Algorithms; Biomedical Engineering; Computers; Equipment Design; Humans; Materials Testing; Microcomputers; Models, Statistical; Models, Theoretical; Neurons; Reproducibility of Results; Signal Processing, Computer-Assisted; Silicon; Software; Time Factors; Wavelet Analysis;
Conference_Titel :
Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-4121-1
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2011.6091582
