Prediction of lower extremities' movement by angle-angle diagrams and neural networks

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00064203%3A_____%2F11%3A7130" target="_blank" >RIV/00064203:_____/11:7130 - isvavai.cz</a>

Alternative codes found

RIV/68407700:21460/11:00190354

Result on the web

<a href="http://www.ncbi.nlm.nih.gov/pubmed/22097908" target="_blank" >http://www.ncbi.nlm.nih.gov/pubmed/22097908</a>

DOI - Digital Object Identifier

—

Result language

angličtina

Original language name

Prediction of lower extremities' movement by angle-angle diagrams and neural networks

Original language description

In contemporary science, the analysis of human walking is extensively used. The prediction of leg motion, as well as rehabilitation, can be usable for orthosis and prosthesis programing. Our work is focused on predicting of human walking by angle-angle diagrams, also called cyclograms. The applications of cyclograms in conjunction with artificial intelligence offers wide area of applications in medicine. But until now, this approach has not been studied or applied in practice.

Czech name

—

Czech description

—

Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

BO - Biophysics

OECD FORD branch

—

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2011

Confidentiality

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

Name of the periodical

Acta of Bioengineering and Biomechanics

ISSN

1509-409X

e-ISSN

—

Volume of the periodical

13

Issue of the periodical within the volume

2

Country of publishing house

PL - POLAND

Number of pages

9

Pages from-to

57-65

UT code for WoS article

000297736700006

EID of the result in the Scopus database

—