Records |
Author |
Ma. Paz Velarde; Erika Perugachi; Dennis G. Romero; Ángel D. Sappa; Boris X. Vintimilla |
Title |
Análisis del movimiento de las extremidades superiores aplicado a la rehabilitación física de una persona usando técnicas de visión artificial. |
Type |
Journal Article |
Year |
2015 |
Publication |
Revista Tecnológica ESPOL-RTE |
Abbreviated Journal |
|
Volume |
Vol. 28 |
Issue |
|
Pages |
pp. 1-7 |
Keywords |
Rehabilitation; RGB-D Sensor; Computer Vision; Upper limb |
Abstract |
Comúnmente durante la rehabilitación física, el diagnóstico dado por el especialista se basa en observaciones cualitativas que sugieren, en algunos casos, conclusiones subjetivas. El presente trabajo propone un enfoque cuantitativo, orientado a servir de ayuda a fisioterapeutas, a través de una herramienta interactiva y de bajo costo que permite medir los movimientos de miembros superiores. Estos movimientos son capturados por un sensor RGB-D y procesados mediante la metodología propuesta, dando como resultado una eficiente representación de movimientos, permitiendo la evaluación cuantitativa de movimientos de los miembros superiores. |
Address |
|
Corporate Author |
|
Thesis |
|
Publisher |
ESPOL |
Place of Publication |
|
Editor |
|
Language |
English |
Summary Language |
English |
Original Title |
|
Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
Series Volume |
|
Series Issue |
|
Edition |
|
ISSN |
|
ISBN |
|
Medium |
|
Area |
|
Expedition |
|
Conference |
|
Notes |
|
Approved |
no |
Call Number |
cidis @ cidis @ |
Serial |
39 |
Permanent link to this record |
|
|
|
Author |
Dennis G. Romero; A. F. Neto; T. F. Bastos; Boris X. Vintimilla |
Title |
An approach to automatic assistance in physiotherapy based on on-line movement identification. |
Type |
Conference Article |
Year |
2012 |
Publication |
VI Andean Region International Conference – ANDESCON 2012 |
Abbreviated Journal |
|
Volume |
|
Issue |
|
Pages |
|
Keywords |
patient rehabilitation, patient treatment, statistical analysis |
Abstract |
This paper describes a method for on-line movement identification, oriented to patient’s movement evaluation during physiotherapy. An analysis based on Mahalanobis distance between temporal windows is performed to identify the “idle/motion” state, which defines the beginning and end of the patient’s movement, for posterior patterns extraction based on Relative Wavelet Energy from sequences of invariant moments. |
Address |
|
Corporate Author |
|
Thesis |
|
Publisher |
IEEE |
Place of Publication |
Andean Region International Conference (ANDESCON), 2012 VI |
Editor |
|
Language |
|
Summary Language |
|
Original Title |
|
Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
Series Volume |
|
Series Issue |
|
Edition |
|
ISSN |
|
ISBN |
|
Medium |
|
Area |
|
Expedition |
|
Conference |
|
Notes |
|
Approved |
no |
Call Number |
cidis @ cidis @ |
Serial |
24 |
Permanent link to this record |