DESIGN AND MYOELECTRIC CONTROL OF AN ACTIVE ORTHOSIS DEVICE USING FINITE STATE MACHINE ALGORITHM

Osman Ulkir, Gazi Akgun, Ersin Toptas and Erkan Kaplanoglu
Additional contact information
Osman Ulkir: Department of Mechatronics Engineering, Mus Alparslan University, Mus, 49200, Turkey
Gazi Akgun: 3Department of Mechatronics Engineering, Marmara University, Istanbul, 34730, Turkey
Ersin Toptas: Department of Mechatronics Engineering, Marmara University, Istanbul, 34730, Turkey
Erkan Kaplanoglu: Department of Mechatronics Engineering, University of Tennessee at Chattanooga, TN, 37403, USA

Technium, 2020, vol. 2, issue 7, 286-296

Abstract: This paper presents a novel myoelectric controlled active hip-knee-ankle-foot orthosis (A-HKAFO) designed to assist lower limb disorders. The proposed orthosis device2 consists of a polypropylene shell and a metal hinge joint, is designed to help patients during gait rehabilitation after neurological injury, and assist people who have difficulty walking3 due to obesity, sports injuries. The system also can use4 for studying human gait biomechanics5. A myoelectric control law strategy is proposed using a finite state machine (FSM) method. The algorithm is activated by users’ intend to forward or backward stepping6. The electromyogram (EMG) signals from lower limb7 and device motion data were8 used for the control of A-HKAFO. In order to determine the last location of the user after movement, physical feedback is utilized from the mechanical system.

Date: 2020
References: Add references at CitEc
Citations:

Downloads: (external link)
https://techniumscience.com/index.php/technium/article/view/2122 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:tec:techni:ojs:2122

DOI: 10.47577/technium.v2i7.2122

Access Statistics for this article

Technium is currently edited by Scurtu Ionut Cristian

More articles in Technium from Technium Science
Bibliographic data for series maintained by Ana Maria Golita ().