Title
A low-power integrated circuit for analog spike detection and sorting in neural prosthesis systems
Abstract
Since the proof of viability of prosthetic devices directly controlled by neurons, there is a huge increase in the interest on integrated multichannel recording systems to register neural signals with implanted chronic electrodes. One of the bottlenecks in such compact systems is the limited rate of data transmission by the wireless link, requiring some sort of data compression/reduction. We propose an analog low power integrated system for action potential (AP) detection and sorting that reduces the output data rate ~100 times. In this system, AP detection is performed by a double threshold method that reduces the probability of false detections while AP sorting is based on the measurement of peak and trough amplitudes and peak width. The circuit has been implemented in 0.35 - mum CMOS technology with power consumption of 70 muW per channel including the pre-amplifier. The system was tested with real recorded traces: compared to standard AP sorting techniques, the proposed simple AP sorter was able to correctly assign to single units over 90% of detected APs.
Year
DOI
Venue
2009
10.1109/BIOCAS.2008.4696923
Baltimore, MD
Keywords
Field
DocType
cmos integrated circuits,bioelectric phenomena,biomedical electronics,data compression,neurophysiology,prosthetics,signal detection,wireless channels,cmos technology,action potential detection,analog spike detection,data reduction,double threshold method,implanted chronic electrodes,integrated multichannel recording systems,low power integrated circuit,neural prosthesis systems,neural signal registration,neuron controlled prosthetic devices,power 70 muw,size 0.35 mum,spike sorting,wireless data transmission rate,integrated circuit
Neural Prosthesis,Electronic engineering,Sorting,Engineering,Integrated circuit
Conference
ISBN
Citations 
PageRank 
978-1-4244-2879-3
1
0.40
References 
Authors
2
8
Name
Order
Citations
PageRank
Andrea Bonfanti126936.37
t borghi2172.32
R. Gusmeroli3131.78
G. Zambra4131.78
alessandro s spinelli5245.13
andriy oliynyk610.74
Luciano Fadiga723519.90
g baranauskas850.94