NDLI: Development of a full body balance model using an artificial neural network approach

Content Provider	IEEE Xplore Digital Library
Author	Trevino, R. Frye, M. Chunjiang Qian
Copyright Year	2009
Description	Author affiliation: University of Texas Health, Science Center, Department of Rehabilitation, San Antonio, TX, USA (Trevino, R.) \|\| Department of Engineering, University of the Incarnate Word, San Antonio, TX, USA (Frye, M.) \|\| Department of Electrical and Computer Engineering, University of Texas at San, Antonio, San Antonio, TX, USA (Chunjiang Qian)
Abstract	The purpose of this paper is to identify body balance using an artificial neural network approach. This research entails the study of dynamic stability within a normal person. This study is inspired because persons suffering from lower extremity loss suffer a variety of complications including numbness on the residual limb and sores caused from the prosthetic. Because this occurs, they have a slightly abnormal gait pattern, possibly to keep balance while in motion. This study analyzes the gait motion of a normal healthy subject. We take the data and manipulate it to delete or alter the function of the right leg. Data was taken using an 8 camera VICON motion capture system at the Andrew Gitter GAIT Laboratory located in the Audie L. Murphy Veterans hospital. The markers placed at joints of the body were captured to give a 3-D position at a sampling rate of 120 MHz. A Neural Network was used for the modeling of normal walking gait using the given data.
Starting Page	4238
Ending Page	4242
File Size	262023
Page Count	5
File Format	PDF
ISBN	9781424427932
ISSN	1062922X
DOI	10.1109/ICSMC.2009.5346819
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-10-11
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Artificial neural networks Stability Extremities Neural prosthesis Motion analysis Leg Cameras Laboratories Hospitals Sampling methods bio-medical engineering Neural Networks biomechanical modeling
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
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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