Tracking changes in action potential shapes in chronic multi-unit intrafascicular recordings using neural network pattern recognition techniques

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Publication Type Journal Article
School or College College of Engineering
Department Bioengineering
Creator Horch, Kenneth W.
Other Author Mirfakhraei, Khashayar
Title Tracking changes in action potential shapes in chronic multi-unit intrafascicular recordings using neural network pattern recognition techniques
Date 1994
Description A novel scheme is proposed to train an Artificial Neural Network (A") classifier, on a repeated basis, in order to track temporal changes in the shapes of the action potentials recorded through chronically implanted intrafascicular electrodes. This scheme uses classification results of the ANN Classifier on the most recent neural recordings to label the new action potentials. The ANN classifier is retrained using the new samples so that it recognizes any changes in the shapes of the action potentials. The procedure is repeated continuously using the most recently trained ANN classifier. This scheme was tested on different simulated situations that may arise in a two unit neural recording. The results indicate that proposed method allows us to track the changes in the shapes of the action potentials in most plausible scenarios that might arise in chronic intrafascicular recordings.
Type Text
Publisher Institute of Electrical and Electronics Engineers (IEEE)
Volume 16
Issue pt 2
First Page 1095
Last Page 1096
DOI 10.1109/IEMBS.1994.415340
Subject Intrafascicular electrodes; Artificial neural network
Subject LCSH Electrodes; Implants, Artificial; Neuroprostheses -- Research; Nervous system -- Imaging -- Data processing; Neural networks (Computer science)
Language eng
Conference Title 16th Annual International Conference of the IEEE Engineering in Medicine and Biology Society; 3-6 Nov. 1994; Baltimore, MD, USA
Bibliographic Citation Mirfakhraei, K., & Horch, K. W. (1994). Tracking changes in action potential shapes in chronic multi-unit intrafascicular recordings using neural network pattern recognition techniques. Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings, 16(pt 2), 1095-6.
Rights Management (c) 1994 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. http://dx.doi.org/10.1109/IEMBS.1994.415340
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Identifier ir-main,11582
ARK ark:/87278/s69w1013
Setname ir_uspace
Date Created 2012-06-13
Date Modified 2021-05-06
ID 706173
Reference URL https://collections.lib.utah.edu/ark:/87278/s69w1013