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A Muscular Activation Controlled Rehabilitation Robot System [chapter]

Erhan Akdoğan, Zeynep Şişman
2011 Lecture Notes in Computer Science  
In this study a muscular activation controlled rehabilitation robot system for lower limbs is proposed.  ...  A probabilistic artificial neural network model, which can estimate posteriori probability, was used for discrimination of EMG patterns for robot control with EMG signals.  ...  There are only a few studies in the literature about EMG controlled rehabilitation robots for lower limbs.  ... 
doi:10.1007/978-3-642-23851-2_28 fatcat:k6bwrirzmbhrtoac3ij4waavue

Estimate human-force from sEMG signals for a lower-limb rehabilitation robot

Irandokht Khanjani, Vahab Khoshdel, Alireza Akbarzadeh
2017 2017 Iranian Conference on Electrical Engineering (ICEE)  
This paper presents an application of artificial neural network (ANN) to estimate human forces from Electromyogram (sEMG) signals.  ...  To determine the limb's dynamics, the patient's body and rehabilitation robot are modeled in the OpenSIM.  ...  Khoshdel, "Voltage-based adaptive impedance force control for a lower-limb rehabilitation robot", Advanced Robotics, 29(15), 961-971, (2015). TABLE I I .  ... 
doi:10.1109/iraniancee.2017.7985275 fatcat:soweqpxqijc6hckywwyqrd34ky

Guest Editorial introduction to the Focused section on wearable sensors, actuators, and robots for rehabilitation

Shane Xie, Samit Chakrabarty, Jen-Yuan Chang, Chao-Chieh Lan, Xiaolin Huang, Andrew McDaid
2019 International Journal of Intelligent Robotics and Applications  
He has since moved to University of Leeds as an academic researcher and is active in the field of sensory and motor control, rehabilitation and use of technology to both study and better the lives of those  ...  After receiving his BSc in Zoology, Biochemistry from St Xavier's College, Mumbai he pursued a PhD in Neurophysiology of the mammalian spinal cord at the University of Cambridge, UK.  ...  Our appreciation also goes to Editor-in-Chief, Professor Kok-Meng Lee, and editors and for their wisdom and hard work in coordinating the review of all submitted papers.  ... 
doi:10.1007/s41315-019-00087-2 fatcat:4tymb26rqvbejpkgtu2a3jrxm4

Table of Contents

2021 2021 6th IEEE International Conference on Advanced Robotics and Mechatronics (ICARM)  
..........................................................306 Triple-step Nonlinear Controller with MLFNN for a Lower Limb Rehabilitation Robot, Huanfeng Peng, Jie Zhou, Ting Xu, Jinwu Gao and Rong Song  ...  Force Control of a Robot Bearing Augmentation Exoskeleton, v Multi-functional Smart E-Glasses for Vision-Based Indoor Navigation, Saturday, July 3, 2021 Regular Session (Neural Network Modeling  ... 
doi:10.1109/icarm52023.2021.9536111 fatcat:kln7rjtvtvaanb36b4pfffdita

Application of Artificial Intelligence (AI) in Prosthetic and Orthotic Rehabilitation [chapter]

Smita Nayak, Rajesh Kumar Das
2020 Service Robotics [Working Title]  
The concept of neural network has been used by the leading manufacturers of rehabilitation aids for simulating various anatomical and biomechanical functions of the lost parts of the human body.  ...  The involvement of human interaction with various agents' i.e. electronic circuitry, software, robotics, etc. has made a revolutionary impact in the rehabilitation field to develop devices like Bionic  ...  Figure 3 . 3 Layers of ANN (artificial neural network) [23] .Service Robotics 8 network model.  ... 
doi:10.5772/intechopen.93903 fatcat:jp2h7xcms5h3tjx7ichkckplty

Assessment of Plastic Changes Following Bio-Robotic Rehabilitation of Spinal Cord Injured Individuals – A Protocol Proposal [chapter]

Kasper K. Leerskov, Lotte N. S. Andreasen Struijk, Erika G. Spaich
2018 Biosystems and Biorobotics  
Shaping robotic training to maximize patient outcome: new trends and perspectives Multicenter Randomized Controlled Trial on the upper limb robotic rehabilitation in subacute stroke using a set of robotic  ...  He is a member of the Society for Neuroscience, the Society of Neural Control of Movement, and IEEE. Dr.  ... 
doi:10.1007/978-3-030-01845-0_174 fatcat:nmjw5zuz25ax3dvmtd5bvwesbq

Guest Editorial: Special Issue on Human-Friendly Cognitive Robotics

Xin Wang, Angelo Cangelosi, Chenguang Yang, Yan Wu, Fanny Ficuciello
2021 IEEE Transactions on Cognitive and Developmental Systems  
Human walking intention estimation is critical for the active assistance control of the lower limb exoskeleton.  ...  Additionally, a pretrained subnet spiking neural network is designed, which makes the spiking neural network have more hidden layers.  ... 
doi:10.1109/tcds.2020.3044691 fatcat:trmw46zbsfe5vjicloosbg5awa

A New Projected Active Set Conjugate Gradient Approach for Taylor-Type Model Predictive Control: Application to Lower Limb Rehabilitation Robots With Passive and Active Rehabilitation

Tian Shi, Yantao Tian, Zhongbo Sun, Bangcheng Zhang, Zaixiang Pang, Junzhi Yu, Xin Zhang
2020 Frontiers in Neurorobotics  
from lower limb rehabilitation robots.  ...  for lower-limb rehabilitation robot of MPC with passive and active rehabilitation training.  ...  The schematic of a two-link lower-limb rehabilitation robot is shown in Figure 1 .  ... 
doi:10.3389/fnbot.2020.559048 pmid:33343324 pmcid:PMC7744727 fatcat:wmi2iv4mvfbvfaqmk6tef3kndm

A Review on Upper Limb Rehabilitation Robots

Hassan M. Qassim, W. Z. Wan Hasan
2020 Applied Sciences  
In addition, a few examples of well-known rehabilitation robots will be explained in terms of their efficiency and controlling mechanisms.  ...  Impaired limbs are considered the common outcomes of stroke, which require a professional therapist to rehabilitate the impaired limbs and restore fully or partially its function.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/app10196976 fatcat:ipvciuw67jac7mq66j3zsdtz2u

Introduction to the focused section on intelligent robotics for rehabilitation and human assistance

Jingang Yi, Jun Ueda, Xiangyang Zhu
2017 International Journal of Intelligent Robotics and Applications  
He is currently a Chair Professor of mechatronics and the Director of Robotics Institute at Shanghai Jiao Tong University, Shanghai, China.  ...  The controller overcomes a major stability analysis challenge under the unknown and unstructured nonlinearities in the FES-driven musculoskeletal dynamics through neural network models and an adaptation  ... 
doi:10.1007/s41315-016-0011-5 dblp:journals/ijira/YiUZ17 fatcat:toxyp4qng5cevm7xvk27svqzde

ExoNet Database: Wearable Camera Images of Human Locomotion Environments [article]

Brock Laschowski, William McNally, Alexander Wong, John McPhee
2020 bioRxiv   pre-print
Besides the control of powered lower-limb exoskeletons and prostheses, applications of ExoNet could extend to humanoids and autonomous legged robots.  ...  Advances in computer vision and artificial intelligence are allowing researchers to develop environment recognition systems for powered lower-limb exoskeletons and prostheses.  ...  Convolutional Neural Networks for Environmentally 304 Aware Locomotion Mode Recognition of Lower-Limb Amputees.  ... 
doi:10.1101/2020.10.23.352054 fatcat:vbuqcbvwpjh6hmj2qla5hy3ewy

CIS-RAM 2019 Front Matter

2019 2019 IEEE International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, Automation and Mechatronics (RAM)  
We thank the professional contributions from the members of the international advisory committee, authors, reviewers, associate editors, chairs of the regular and invited sessions, for making the high-quality  ...  systems (CIS), as well as robotics, automation and mechatronics (RAM) related areas.  ...  Dynamics Compensation Strategy for Control of Lower Extremity Exoskeleton Pei Pei, Zhiyong Tang, Zhongcai Pei, Weihai Chen and Han Gu 11:00 Development of a Parameter Adaptation Robot for Lower Limb  ... 
doi:10.1109/cis-ram47153.2019.9095827 fatcat:f2tvaddmhra77fnnyxywhepg4q

Motor Learning Characterizes Habilitation of Children With Hemiplegic Cerebral Palsy

Hermano I. Krebs, Susan E. Fasoli, Laura Dipietro, Maria Fragala-Pinkham, Richard Hughes, Joel Stein, Neville Hogan
2012 Neurorehabilitation and Neural Repair  
Methods-Twelve children with hemiplegic CP ages 5 to 12 years with moderate to severe motor impairments underwent a 16-session robot-mediated planar therapy program to improve upper limb reach, with a  ...  To assess whether learning best characterizes motor habilitation in CP, the authors quantified (a) improvement on trained tasks at completion of training (acquisition) and 1 month following completion  ...  Acknowledgments Funding The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported in part by National  ... 
doi:10.1177/1545968311433427 pmid:22331211 pmcid:PMC4688005 fatcat:ikekbowviff4hblupqvh4z3q7a

EMG-driven models of human-machine interaction in individuals wearing the H2 exoskeleton**This work was supported by the ERC Advanced Grant DEMOVE [267888]

Guillaume Durandau, Massimo Sartori, Magdo Bortole, Juan C. Moreno, José L. Pons, Dario Farina
2016 IFAC-PapersOnLine  
This work provides evidence of the feasibility of real-time model-based control of complex multi-joint exoskeleton system, thus opening new avenues for personalised robot-aided rehabilitation interventions  ...  In this paper, we demonstrate the use of EMG-driven modeling in online (i.e. in real-time) running on a fully portable embedded system and interfaced concurrently with a powered lower limb exoskeleton.  ...  H2 exoskeleton The H2 is a lower limb exoskeleton possessing six degrees of freedom (DOFs) including left/right hip flexion-extension, knee flexion-extension, and ankle plantar-dorsi flexion.  ... 
doi:10.1016/j.ifacol.2016.12.214 fatcat:e3vnngpftngfdfcjbopsqz75t4

Lw-CNN-Based Myoelectric Signal Recognition and Real-Time Control of Robotic Arm for Upper-Limb Rehabilitation

Benzhen Guo, Yanli Ma, Jingjing Yang, Zhihui Wang, Xiao Zhang, Silvia Conforto
2020 Computational Intelligence and Neuroscience  
The Lw-CNN model performs well in the recognition of upper-limb motion intents and can realize real-time control of a commercial robotic arm.  ...  A light-weight convolutional neural network (Lw-CNN) and support vector machine (SVM) model are designed for myoelectric signal pattern recognition.  ...  of upper-limb rehabilitation robots.  ... 
doi:10.1155/2020/8846021 pmid:33456452 pmcid:PMC7785339 fatcat:cmyvhmx5tja37e67moiwsk3xwq
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