Real time hardware neural spike amplitude extraction

Author

Chan, Chiu-Hsien ; Srinivasan, Vijay ; Hsiao, Min-Chi ; Khanna, Sharad ; Wills, J.D. ; Gholmieh, Ghassan ; LaCoss, Jeff ; Courellis, S. ; Granacki, John J. ; Berger, Theodore

Author_Institution

Dept. of Electr. Eng., Univ. of Southern California, Los Angeles, CA, USA

fYear

2004

fDate

1-3 Dec. 2004

Abstract

A novel algorithm for population spike (PS) amplitude extraction suitable for real time hardware processing was developed. The extraction method was implemented digitally and experimentally tested on a field programmable gate array (FPGA) device using 16-bit quantization. The accuracy of the implementation was tested using PS signals recorded from hippocampal slices. The PS response of the dentate gyrus granule cells were generated in a multi-electrode array (MEA) setup. Spike amplitudes extracted in real time by the hardware were compared with values resulting from floating-point computation in software. Results showed successful implementation of hardware algorithm with average normalized mean square error (NMSE) less than 2%.

Keywords

bioelectric phenomena; cellular biophysics; electrodes; field programmable gate arrays; medical signal processing; neurophysiology; dentate gyrus granule cells; field programmable gate array; floating-point computation; hippocampal slices; multi-electrode array; neural spike amplitude extraction; normalized mean square error; real time hardware processing; Biomedical computing; Equations; Field programmable gate arrays; Hardware; IIR filters; Lifting equipment; Mathematical model; Neurons; Signal processing; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Circuits and Systems, 2004 IEEE International Workshop on

Print_ISBN

0-7803-8665-5

Type

conf

DOI

10.1109/BIOCAS.2004.1454192

Filename

1454192