DocumentCode :
1952427
Title :
Identification of moderate to chronic diabetic neuropathic conditions of simulated median nerve response using prony´s method
Author :
Sajith, V. ; Kumar, A. Shraban
Author_Institution :
Coll. of Eng. Trivandrum, Univ. of Kerala, Trivandrum, India
fYear :
2012
fDate :
17-19 Dec. 2012
Firstpage :
508
Lastpage :
513
Abstract :
Using a portable electroneurograph, the evoked response of the median nerve has been recorded from patients with moderate to chronic diabetic neuropathic conditions. The evoked responses are again simulated and the features of these signals are extracted using Prony´s feature extraction method. The poles and resonance frequencies of the evoked responses are used as features. A multilayer feed forward neural network classifier is applied to these features for the classification of different neuropathic conditions. Identification of moderate to chronic diabetic neuropathic conditions at different stages is the primary significance of this technique which helps the doctor for better diagnosis and to go for advanced treatment.
Keywords :
bioelectric potentials; diseases; feature extraction; medical signal processing; multilayer perceptrons; neurophysiology; patient diagnosis; signal classification; Prony feature extraction method; chronic diabetic neuropathic conditions; evoked median nerve response; moderate diabetic neuropathic conditions; multilayer feed forward neural network classifier; patient diagnosis; patient treatment; portable electroneurograph; resonance frequency; simulated median nerve response; Artificial neural network; Diabetic neuropathy; Electroneurograph; Median nerve; Prony´s method;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Engineering and Sciences (IECBES), 2012 IEEE EMBS Conference on
Conference_Location :
Langkawi
Print_ISBN :
978-1-4673-1664-4
Type :
conf
DOI :
10.1109/IECBES.2012.6498188
Filename :
6498188
Link To Document :
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