EurekaMag.com logo
+ Site Statistics
References:
53,517,315
Abstracts:
29,339,501
+ Search Articles
+ Subscribe to Site Feeds
EurekaMag Most Shared ContentMost Shared
EurekaMag PDF Full Text ContentPDF Full Text
+ PDF Full Text
Request PDF Full TextRequest PDF Full Text
+ Follow Us
Follow on FacebookFollow on Facebook
Follow on TwitterFollow on Twitter
Follow on Google+Follow on Google+
Follow on LinkedInFollow on LinkedIn

+ Translate

Modified adaptive resonance theory based control strategy for EMG operated prosthesis for below-elbow amputee



Modified adaptive resonance theory based control strategy for EMG operated prosthesis for below-elbow amputee



Journal of Medical Engineering & Technology 31(3): 191-201



This paper presents a modified adaptive resonance theory (ART1)-based control strategy for a below-elbow (BE) prosthesis. The statistical parameters and histogram from two channels of an electromyogram (EMG) signal have been used as the feature space for the classification of four limb functions. The ART1 neural network (NN) has been used for the classification. ART1 has been modified to learn the patterns in supervised manner to suit the application. Further, the criteria for the modification of the stored pattern have been made bi-directional and the matching criteria have been designed for bit-by-bit matching. The major challenge of using ART1 is to decide on the value of the vigilance parameter, as the classification success is drastically affected by this parameter. The criteria have been evolved to get the optimal value of the vigilance parameter. It is concluded that the best value of vigilance parameter is that which provides the same tolerance in matching as the minimum bit distance between the stored patterns. This scheme has also been implemented on an 8031 microcontroller.

(PDF same-day service: $19.90)

Accession: 013762669

Download citation: RISBibTeXText

PMID: 17454408

DOI: 10.1080/03091900500481036



Related references

Prosthesis costs for the unilateral below-elbow child amputee. Rehabilitation Literature 26(10): 305-307, 1965

Modified signal-to-noise: a new simple and practical gene filtering approach based on the concept of projective adaptive resonance theory (PART) filtering method. Bioinformatics 22(13): 1662-1664, 2006

Reconstruction of an elbow joint after blast injury by arthroplasty with a custom-made modified total elbow prosthesis: a case report. Journal of Shoulder and Elbow Surgery 23(4): E81-E87, 2014

A supervised learning network based on adaptive resonance theory. International Journal of Neural Systems 8(2): 239-246, 1997

Hand movements classification for myoelectric control system using adaptive resonance theory. Australasian Physical & Engineering Sciences in Medicine 39(1): 85-102, 2015

Robust synchronization of a class of uncertain chaotic systems based on quadratic optimal theory and adaptive strategy. Chaos 20(4): 043137-043137, 2011

Observer-Based Adaptive Neural Network Trajectory Tracking Control for Remotely Operated Vehicle. IEEE Transactions on Neural Networks and Learning Systems (): -, 2016

Retrograde adaptive resonance theory based on the role of nitric oxide in long-term potentiation. Journal of Computational Neuroscience 23(1): 129-141, 2007

Knowledge-based fuzzy adaptive resonance theory and its application to the analysis of gene expression in plants. Journal of Bioscience and Bioengineering 106(6): 587-593, 2009

A New Powered Lower Limb Prosthesis Control Framework Based on Adaptive Dynamic Programming. IEEE Transactions on Neural Networks and Learning Systems (): -, 2016

The modified Liverpool total elbow prosthesis. Journal of Hand Surgery 19(2): 224-228, 1994

Adaptive neuro-fuzzy logic analysis based on myoelectric signals for multifunction prosthesis control. Conference Proceedings 2011: 7888-7891, 2012

Adaptive Neuro-Fuzzy Control of a Spherical Rolling Robot Using Sliding-Mode-Control-Theory-Based Online Learning Algorithm. IEEE Transactions on Cybernetics 43(1): 170-179, 2012

Neural network based on adaptive resonance theory as compared to experts in suggesting treatment for schizophrenic and unipolar depressed in-patients. Journal of Medical Systems 20(6): 403-412, 1996

A Monte Carlo simulation based two-stage adaptive resonance theory mapping approach for offshore oil spill vulnerability index classification. Marine Pollution Bulletin 86(1-2): 434-442, 2015