DocumentCode
2019153
Title
Effect of Inclined Rowing Machine on FES-Assisted Indoor Rowing Exercise Performance
Author
Hussain, Z. ; Tokhi, M.O. ; Jailani, R. ; Ahmad, S. ; Ibrahim, B. S Ksm Kader
Author_Institution
Dept. of Autom. Control & Syst. Eng., Univ. of Sheffield, Sheffield
fYear
2009
fDate
25-29 May 2009
Firstpage
242
Lastpage
245
Abstract
This paper describes the effect of inclined track in an indoor rowing machine on the rowing exercise for paraplegics. The indoor rowing exercise is introduced as a total body exercise for rehabilitation of function of lower extremities through the application of functional electrical stimulation (FES). A model of the machine is developed using the Visual Nastran (Vn4D) software environment. Nine different degrees of inclination are set. Fuzzy logic control is implemented to control the knee and elbow trajectories for each of the inclination angle. The generated level of electrical stimulations for activation of quadriceps and hamstrings muscles are recorded and analysed. The results show that the highest efficiency is achieved at 7deg of inclination. In view of good results obtained, it is concluded that different angles of track inclination significantly affect the level of electrical stimulation required to assist paraplegicspsila indoor rowing exercise.
Keywords
fuzzy control; medical computing; medical control systems; neuromuscular stimulation; patient rehabilitation; position control; Visual Nastran software; functional electrical stimulation; fuzzy logic control; inclined rowing machine; indoor rowing machine; on FES-assisted indoor rowing exercise; paraplegics; Automatic control; Biological system modeling; Electrical stimulation; Fuzzy logic; Hip; Knee; Mathematical model; Muscles; Neuromuscular stimulation; Rails; FES; Fuzzy logic control; Inclined Track; Rowing Exercise;
fLanguage
English
Publisher
ieee
Conference_Titel
Modelling & Simulation, 2009. AMS '09. Third Asia International Conference on
Conference_Location
Bali
Print_ISBN
978-1-4244-4154-9
Electronic_ISBN
978-0-7695-3648-4
Type
conf
DOI
10.1109/AMS.2009.82
Filename
5071990
Link To Document