Assessment of Human Gait Parameters Based on Accelerometry

Autor:	N. V. Dorofeev, V. S. Buzhinsky, A. V. Grecheneva
Rok vydání:	2021
Předmět:	Medical Laboratory Technology medicine.medical_specialty Gait (human) Physical medicine and rehabilitation Artificial neural network Computer science Monitoring data Biomedical Engineering medicine Medicine (miscellaneous) Accelerometer Rapid assessment
Zdroj:	Biomedical Engineering. 55:92-96
ISSN:	1573-8256 0006-3398
DOI:	10.1007/s10527-021-10078-y
Popis:	A technique for assessing the biomechanical parameters of human gait has been developed. The technique can be used for rapid assessment of the state of the musculoskeletal system based on long-term accelerometer monitoring data. It is proposed to use the correlation coefficients of accelerometer signals recorded in a person walking at different paces to teach a neural network to isolate individual steps based on daily accelerography data. The developed rapid assessment technique allows characteristic signs of motor pathology to be detected by analyzing the gait parameters.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::f54c6ccb26333f99b70e154d87b53a91 https://doi.org/10.1007/s10527-021-10078-y Zobrazit plný text záznamu Full text from SpringerLink