AN INTELLIGENT WEARABLE ROBOTIC DEVICE FOR KNEE REHABILITATION

Abstract
Around the globe, the population suffered with stroke and spinal cord injury are rapidly increasing who are in need of an effective and efficient solution for their day to day life management. Paraplegia is a form of paralysis in which function is substantially impeded from the waist down or lower extremities but not the arms and it is sometimes called as partial paralysis. More than 73% people with paraplegia have perfectly healthy legs. The main aim of this proposed study is to develop an efficient rehabilitation system to treat paralysis patients of paraplegia. In this proposed research work, an assistive knee exoskeleton is designed and developed as a wearable robot with One Degree of Freedom (ODF) movement. This system is attached with the disabled limb with the aim of delivering appropriate motion and pragmatic functionality to the affected knee for suitable rehabilitation. This exoskeleton knee is controlled by the instrumented cane as a wearable sensory system to establish the coordinated movement through patient’s motion task estimation in order to control the trajectory of ODF exoskeleton robot. The computational intelligent control systems provides assisted rehabilitation motion in coherence with the motion of other unassisted upper limbs through the wearable sensors and switches in the instrumented cane. The instrumented cane is a helpful assistive device for rehabilitation in terms of balance and movement for those who suffering neurological disorders, in particular stroke and spinal cord injury. The pilot study on a subject using the proposed system describes utilization of instrumented cane as a feasible interface between the patient and exoskeleton to improve in terms of motion in their day-to-day activities. Also, the system is designed with inertial measurement module integrated with wireless communication device in order to assist real-time control of exoskeleton. The outcomes of the proposed research work validated and appreciated by the expert physicians and therapists. This study strives the purpose of an instrumented cane that able to contribute to the cognitively assisted locomotion technology as well as improves the mobility of physically challenged people.

Authors
S Prabakar1, K Porkumaran2, S Ramanan3, K Cheranmadevi4, R Karthikeyan5
Dr. N.G.P. Institute of Technology, India1,2,5, National Institute for Empowerment of Person with Multiple Disabilities, India3,4

Keywords
WSNs, Lifetime Improvement, MAMHR, QoS and TDOA Skin Cancer, Detection, Machine Learning, Support Vector Machine, Histogram of Oriented Gradients
Published By :
ICTACT
Published In :
ICTACT Journal on Soft Computing
( Volume: 11 , Issue: 3 )
Date of Publication :
April 2021
DOI :

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.