Prediction of lower extremities movement using characteristics of angle-angle diagrams and artificial intelligence

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21460%2F11%3A00190125" target="_blank" >RIV/68407700:21460/11:00190125 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Prediction of lower extremities movement using characteristics of angle-angle diagrams and artificial intelligence

Original language description

Human gait is nowadays undergoing extensive analysis. Our work focuses on predicting human gait with the use of angle-angle diagrams, also called cyclograms. In conjunction with artificial intelligence, cyclograms offer a wide area of medical applications. Predictions of leg movements can be used for orthosis and prosthesis programming, and also for rehabilitation. We have identified cyclogram characteristics such as the slope and the area of the cyclogram for a neural network learning algorithm. Neuralnetworks learned by cyclogram characteristics predicted cyclogram curve and offer wide applications in prosthesis control systems.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

FS - Medical facilities, apparatus and equipment

OECD FORD branch

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Project

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Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2011

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

EHB 2011 Proceedings

ISBN

978-1-4577-0292-1

ISSN

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e-ISSN

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Number of pages

5

Pages from-to

143-147

Publisher name

Gr. T. Popa University of Medicine and Pharmacy

Place of publication

Iasi

Event location

Iasi

Event date

Nov 24, 2011

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000304806300064