NDLI: Wiener filtering and classification of neurographic recordings

Content Provider	IEEE Xplore Digital Library
Author	Jezernik, S.
Copyright Year	1999
Description	Author affiliation: Center for Sensory-Motor Interaction, Aalborg Univ., Denmark (Jezernik, S.)
Abstract	Methods were developed to improve the S/N ratio and selectivity of nerve recordings, and to allow classification of nerve signals originating from activation of different fiber diameter populations (e.g. different receptors). The need for these methods arose from our 'bladder pacemaker' research, where nerve cuff electrodes were placed around the feline sacral spinal roots to monitor urinary bladder afferent activity. A novel technique to design Wiener filters for neurographic recordings was developed, which resulted in improved S/N ratio and selectivity of the recordings. Since the sacral roots innervate dermatomes and the rectum, the nerve signal increases had to be classified to extract bladder afferent information only. Multilayer perceptron neural network was trained with different autocorrelation functions to classify bladder, rectal and cutaneous nerve signal increases.
File Size	132663
File Format	PDF
ISBN	0780356748
ISSN	1094687X
DOI	10.1109/IEMBS.1999.802489
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1999-10-13
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wiener filter Bladder Pacemakers Electrodes Monitoring Data mining Multilayer perceptrons Neural networks Multi-layer neural network Autocorrelation
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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