ICTACT Journal on Soft Computing

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An Intelligent Wearable Robotic Device for Knee Rehabilitation


Affiliations
1 Department of Biomedical Engineering, Dr. N.G.P. Institute of Technology, India
2 Dr. N.G.P. Institute of Technology, India
3 Department of Special Education, National Institute for Empowerment of Person with Multiple Disabilities, India
4 Department of Therapeutics, National Institute for Empowerment of Person with Multiple Disabilities, India
5 5Department of Electronics and Communication Engineering, Dr. N.G.P. Institute of Technology, India
     

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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.

Keywords

Skin Cancer, Detection, Machine Learning, Support Vector Machine, Histogram of Oriented Gradients.
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  • Govindarajoo Selvathurai, “Development of Instrumented Cane for Control of Exoskeleton of Lower Limb”, PhD Dissertation, pp. 1-125, 2016.

  • Momen Kamal Tageldeen Mohammed Osman, “Development of a Wearable Exoskeleton for Arm Rehabilitation”, PhD Dissertation, pp. 1-120, 2015.

  • Weiguang Huo, Samer Mohammed and Yacine Amirat, “Impedance Reduction Control of a Knee Joint Human-Exoskeleton System”, IEEE Transactions on Control Systems Technology, Vol. 27, No. 6, pp. 2541-2556, 2018.

  • H. Rifai, S. Mohammed, K. Djouani and Y.Amirat, “Toward Lower Limbs Functional Rehabilitation through a Knee Joint Exoskeleton”, IEEE Transactions on Control Systems Technology, Vol. 25, No. 2, pp. 712-719, 2017.

  • H. Woo and K. Kong, “Controller Design for Mechanical Impedance Reduction”, IEEE/ASME Transactions on Mechatronics, Vol. 20, No. 2, pp. 845-854, 2015.

  • SCI Stats and Facts, Available at http://danceforparalysis.org/sci-stats-and-facts/, Accessed at 2017.

  • L. Media, “World Life Expectancy”, Available at http://www.worldlifeexpectancy.com/our-purpose, Accessed at 2018.

  • W.R. Boyles, “Mechanical Design of an Instrumented Cane for Gait Prediction by Physical”, PhD Dissertation, Department of Electronics, Vanderbilt University, pp. 1-256, 2015.

  • E. Sardini, M. Serpelloni and M. Lancini, “Wireless Instrumented Crutches for Force and Movement Measurements for Gait Monitoring”, IEEE Transactions on Instrumentation and Measurement, Vol. 64, No. 1, pp. 3369-3379, 2015.

  • J. Wade, M. Beccani, A. Myszka, E. Bekele, P. Valdastri and P. Flemming, “Design and Implementation of an Instrumented Cane for Gait Recognition”, Proceedings of IEEE International Conference on Robotics and Automation, pp. 5904-5909, 2015.

  • Inaki Diaz, Jorge Juan Gil and Emilio Sanchez, “Lower Limb Robotic Rehabilitation”, Journal of Robotics, Vol. 2011, pp. 1-11, 2011.

  • K.Y. Lee, L.L. Kanoo, C.H. Tan, M.A. Hamid and N.M. Hamedon, “Epidemiology of Spinal Cord Injury in Hospital Kuala Lumpur”, Spine, Vol. 38, No. 2, pp. 419-424, 2013.

  • Yolanda Smith, “What is Paraplegia?”, Available at http://www.news-medical.net/health/What-is-Paraplegia.aspx, Accessed at 2015.

  • A.R. Sadek, N.K. Parmar, N.H. Sadek, S. Jaiganesh, S. Elkhodair and T. Jaiganesh, “Spontaneous Upper Limb Monoplegia Secondary to Probable Cerebral Amyloid Angiopathy”, International Journal of Emergency Medicine, Vol. 5, No. 2, pp. 1-12, 2013.

  • W.H. Chang and Y.H. Kim, “Robot-Assisted Therapy in Stroke Rehabilitation”, Journal of Stroke, Vol. 15, No. 2, pp. 174-181, 2015.

  • M. Hassan, H. Kadone, K. Suzuki and Y. Sankai, “Wearable Gait Measurement System with an Instrumented Cane for Exoskeleton Control”, Sensors, Vol. 14, No. 1, pp. 1705-1722, 2013.

  • P. Claire and F. Joyce, “An Instrumented Cane Devised for Gait Rehabilitation and Research”, Journal of Physical Therapy Education, Vol. 25, No. 1, pp. 36-41, 2011.

  • Kyle. B. Heer, “Design and Control of a Lower Limb Exoskeleton Emulator for Accelerated Development of Gait Exoskeleton”, PhD Dissertation, Department of Mines, Colorado School of Mines, pp. 1-125, 2017.


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  • An Intelligent Wearable Robotic Device for Knee Rehabilitation

Abstract Views: 300  |  PDF Views: 1

Authors

S. Prabakar
Department of Biomedical Engineering, Dr. N.G.P. Institute of Technology, India
K. Porkumaran
Dr. N.G.P. Institute of Technology, India
S. Ramanan
Department of Special Education, National Institute for Empowerment of Person with Multiple Disabilities, India
K. Cheranmadevi
Department of Therapeutics, National Institute for Empowerment of Person with Multiple Disabilities, India
R. Karthikeyan
5Department of Electronics and Communication Engineering, Dr. N.G.P. Institute of Technology, India

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.

Keywords


Skin Cancer, Detection, Machine Learning, Support Vector Machine, Histogram of Oriented Gradients.

References