DocumentCode :
1786064
Title :
Assessment of applicability of robotic walker for post-stroke hemiparetic individuals through muscle pattern analysis
Author :
Loterio, Flavia Aparecida ; Villarejo Mayor, John Jairo ; Frizera Neto, Anselmo ; Bastos Filho, Teodiano Freire
Author_Institution :
Post-Grad. Program in Biotechnol., Fed. Univ. of Espirito Santo, Vitoria, Brazil
fYear :
2014
fDate :
26-28 May 2014
Firstpage :
1
Lastpage :
5
Abstract :
Stroke is a leading cause of morbidity and mortality worldwide. In most patients, the stroke causes disabilities that hamper the performance of daily tasks autonomously. The most common clinical features in these individuals are hemiparesis, abnormal gait pattern, muscle spasticity and balance loss. There are several studies about the use of robotic devices in hemiparetic individuals, for example for rehabilitation. The robotic walker developed at UFES/Brazil will be assessed for its applicability, using Surface Electromyography (sEMG) to verify the muscle activation during the gait in individuals with post-stroke hemi-paresis. Preliminary tests are being made with the proposed methodology to analyse the robotic walker, but first using a conventional walker two frontal wheels as assistant gait. Two healthy volunteers performed initially a path without the aid of the walker and then with its aid along a flat straight route. sEMG signals are analyzed in order to assess the muscle activity during the gait. After analyzing the data, the results were compared between the free and assisted gait. With the use of the walker the gait speed in healthy volunteers was reduced and, consequently, changes occurred during activation of the muscles. Changes caused by shifting down are important due to improper adjustment of the height of the walker leads to gait changes. As future work, we intend assess the use of robotic walker in clinical trials.
Keywords :
electromyography; gait analysis; mechanoception; medical disorders; medical robotics; medical signal processing; patient rehabilitation; abnormal gait pattern; assistant gait; assisted gait; balance loss; clinical features; conventional walker; daily tasks; disabilities; flat straight route; free gait; frontal wheels; gait speed; morbidity; mortality; muscle activation; muscle activity; muscle pattern analysis; muscle spasticity; patient rehabilitation; post-stroke hemiparesis; post-stroke hemiparetic individuals; preliminary tests; robotic devices; robotic walker; sEMG signals; surface electromyography; walker height; Electrodes; Electromyography; Knee; Legged locomotion; Muscles; Robot sensing systems; Gait Analysis; Hemi-paretic Gait; Stroke; Surface Electromyography; Walker;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biosignals and Biorobotics Conference (2014): Biosignals and Robotics for Better and Safer Living (BRC), 5th ISSNIP-IEEE
Conference_Location :
Salvador
Print_ISBN :
978-1-4799-5688-3
Type :
conf
DOI :
10.1109/BRC.2014.6880958
Filename :
6880958
Link To Document :
بازگشت