Wavelet Analysis of Humans with Osteoarthritis

Autor:	Dan B. Marghitu, Nicolae Craciunoiu, Daniela Tarniţă
Rok vydání:	2016
Předmět:	musculoskeletal diseases Computer science business.industry Wavelet transform Pattern recognition General Medicine Osteoarthritis Kinematics medicine.disease Wavelet medicine Artificial intelligence business Simulation Energy (signal processing)
Zdroj:	Applied Mechanics and Materials. 823:155-160
ISSN:	1662-7482
DOI:	10.4028/www.scientific.net/amm.823.155
Popis:	In this research proposal we want to develop from kinematic data, measures using thewavelets theory to characterize normal and osteoarthritis knee locomotion. The kinematic data of theradio-carpal flexion-extension angles were analyzed using the wavelet transform. The experimentaldata was acquired with a complex goniometer system. The detail energy for the level 5 is an importantfactor to characterize the osteoarthritis patients and normal subjects.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::87b0aa18a82047a027c027900bbc754f https://doi.org/10.4028/www.scientific.net/amm.823.155 Zobrazit plný text záznamu