IEEE - Institute of Electrical and Electronics Engineers, Inc. - Hardware Efficient Automatic Thresholding for NEO-Based Neural Spike Detection

Author(s): Yuning Yang ; Andrew J. Mason
Sponsor(s): IEEE Engineering In Medicine and Biology Society
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 April 2017
Volume: 64
Page(s): 826 - 833
ISSN (Electronic): 1558-2531
ISSN (Paper): 0018-9294
DOI: 10.1109/TBME.2016.2580319
Regular:

The nonlinear energy operator (NEO) algorithm has been commonly implemented in hardware for neural spike detection. However, the traditional method to set the threshold is sensitive to the spike... View More

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