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Upper Limb Rehabilitation System for Stroke Survivors Based on Multi-Modal Sensors and Machine Learning

Sheng Miao, Chen Shen, Xiaochen Feng, Qixiu Zhu, Mohammad Shorfuzzaman, Zhihan Lv
2021 IEEE Access  
INDEX TERMS Machine learning, multi-modal sensor, Internet-of-Things, upper limb rehabilitation, intelligent system.  ...  This paper combines the Internet-of-Things, machine learning, and intelligence system technologies to design a smartphone-based intelligence system to help stroke survivors to improve upper limb rehabilitation  ...  intelligent system based on multi-mode sensors.  ... 
doi:10.1109/access.2021.3055960 fatcat:b6zju3awyzg4fahnc5l6hdxace

A Novel Approach for Upper Limb Functionality Assessment Based on Deep Learning and Multimodal Sensing Data

Sheng Miao, Yukun Dang, Qixiu Zhu, Sudong Li, Mohammad Shorfuzzaman, Haibin Lv
2021 IEEE Access  
Based on the presented system, this paper focuses on the multimodal sensing data collected from rehabilitation training and explores upper limb functionality assessment based on deep learning algorithms  ...  [32] used VR technology based on somatosensory sensors to assist stroke patients with upper limb motor function rehabilitation. The research by Aldana et al.  ... 
doi:10.1109/access.2021.3080592 fatcat:jtybdkpv2jh3zddw3htfooikwy

Human-Robot Interaction in Rehabilitation and Assistance: a Review

Abolfazl Mohebbi
2020 Current Robotics Reports  
Recent Findings The survey on the literature reveals that new efforts are put on utilizing machine learning approaches alongside novel developments in sensing technology to adapt the systems with user  ...  routines in terms of activities for assistive systems and exercises for rehabilitation devices to fit each user's need and maximize their effectiveness.  ...  Beil et al. proposed a movement classification system for a lower limb exoskeleton based on a hidden Markov model (HMM), which enables the online classification of multi-modal sensor data acquired from  ... 
doi:10.1007/s43154-020-00015-4 fatcat:t6vkv6iic5apxcvt7qvlqwoxjq

Applications of Brain–Machine Interface Systems in Stroke Recovery and Rehabilitation

Anusha Venkatakrishnan, Gerard E. Francisco, Jose L. Contreras-Vidal
2014 Current Physical Medicine and Rehabilitation Reports  
We present the framework for integrated BMI and robotic-assisted therapies, and discuss their potential therapeutic, assistive and diagnostic functions in stroke rehabilitation.  ...  Stroke is a leading cause of disability, significantly impacting the quality of life (QOL) in survivors, and rehabilitation remains the mainstay of treatment in these patients.  ...  A brief overview of current upper limb and lower limb robotic devices and their applications in stroke rehabilitation is presented in this section.  ... 
doi:10.1007/s40141-014-0051-4 pmid:25110624 pmcid:PMC4122129 fatcat:f6knwvpadncvxmdym5a53epkgm

Current Trends in Stroke Rehabilitation [chapter]

Pratap Sanchetee
2021 Ischemic Stroke [Working Title]  
Poststroke rehabilitation is a multi-disciplinary and multi-modal endeavor and not a 'one size fits all' intervention.  ...  With better understanding of causation and breakthrough advances in management, we are witnessing a greater population of stroke survivors with varying neurological and functional deficits.  ...  It was developed mainly to upper limb functions and perhaps is the most investigated intervention in stroke rehabilitation [13] .  ... 
doi:10.5772/intechopen.95576 fatcat:54drfqt7nrbh3d2e6xncquieda

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  
Wearable sensors for robotic exoskeletons WeR10. Smart human-machine systems for lower-limb assistance and rehabilitation after paralysis WeR6.  ...  Wearable sensors for robotic exoskeletons WeR1. Wearable sensors for robotic exoskeletons WeR10. Smart human-machine systems for lower-limb assistance and rehabilitation after paralysis WeR12.  ... 
doi:10.1007/978-3-030-01845-0_174 fatcat:nmjw5zuz25ax3dvmtd5bvwesbq

Perspectives and Challenges in Robotic Neurorehabilitation

Riccardo Iandolo, Francesca Marini, Marianna Semprini, Matteo Laffranchi, Maddalena Mugnosso, Amel Cherif, Lorenzo De Michieli, Michela Chiappalone, Jacopo Zenzeri
2019 Applied Sciences  
Here, we provide an overview of the most common robotic devices for upper and lower limb rehabilitation and we describe the aforementioned neurorehabilitation scenarios.  ...  Indeed, the effect of robot-aided neurorehabilitation can be maximized when used in combination with a proper training regimen (based on motor control paradigms) or with non-invasive brain machine interfaces  ...  Acknowledgments: The authors would like to thank Giulio Cerruti and Maria Laura D'Angelo for their valuable help in the discussion about lower limbs exoskeletons.  ... 
doi:10.3390/app9153183 fatcat:d2vqsnbfvbbatounmqzds3b3x4

Review on Patient-Cooperative Control Strategies for Upper-Limb Rehabilitation Exoskeletons

Stefano Dalla Gasperina, Loris Roveda, Alessandra Pedrocchi, Francesco Braghin, Marta Gandolla
2021 Frontiers in Robotics and AI  
The objective of this paper is to provide a multi-disciplinary vision of patient-cooperative control strategies for upper-limb rehabilitation exoskeletons to help researchers bridge the gap between human  ...  To this aim, we propose a three-level classification based on 1) "high-level" training modalities, 2) "low-level" control strategies, and 3) "hardware-level" implementation.  ...  a multi-disciplinary taxonomy of patient-cooperative control strategies for rehabilitation upper-limb exoskeletons that could help researchers develop complex and advanced systems.  ... 
doi:10.3389/frobt.2021.745018 pmid:34950707 pmcid:PMC8688994 fatcat:dj7j32wgk5e7rgc4hjvi5r2wzi

Component-Level Tuning of Kinematic Features From Composite Therapist Impressions of Movement Quality

Vinay Venkataraman, Pavan Turaga, Michael Baran, Nicole Lehrer, Tingfang Du, Long Cheng, Thanassis Rikakis, Steven L. Wolf
2016 IEEE journal of biomedical and health informatics  
Using a dataset collected from ten stroke survivors, we demonstrate that the framework can be reliably used for movement quality assessment in HAMRR systems.  ...  Rehabilitation (HAMRR) system.  ...  Rymer and Margaret Duff of the Rehabilitation Institue of Chicago for their contributions in the development of the HAMRR system. This research was supported by NIH R24 grant 5R24HD050821-10.  ... 
doi:10.1109/jbhi.2014.2375206 pmid:25438331 pmcid:PMC4761426 fatcat:5zzz5sporfcihftrau4rl7it6m

EEG-Based Control for Upper and Lower Limb Exoskeletons and Prostheses: A Systematic Review

Maged AL-Quraishi, Irraivan Elamvazuthi, Siti Daud, S. Parasuraman, Alberto Borboni
2018 Sensors  
It is systematically performed to provide a wealthy image and grounded evidence of the current state of research covering EEG-based control for assistive rehabilitation devices to all the experts and scientists  ...  Electroencephalography (EEG) signals have great impact on the development of assistive rehabilitation devices.  ...  The outcomes of this experiment revealed that the closed-loop EEG-based for stroke survivors, can be developed and optimized to carry out better performance across several days without system recalibration  ... 
doi:10.3390/s18103342 fatcat:nacqsogy5jfdvnq2pzviasdqdy

Hybrid Neuroprosthesis for the Upper Limb: Combining Brain-Controlled Neuromuscular Stimulation with a Multi-Joint Arm Exoskeleton

Florian Grimm, Armin Walter, Martin Spüler, Georgios Naros, Wolfgang Rosenstiel, Alireza Gharabaghi
2016 Frontiers in Neuroscience  
Combining a hybrid BMI with neuromuscular stimulation and antigravity assistance augments upper limb function and brain activity during rehabilitation exercises and may thus provide a novel restorative  ...  framework for severely affected stroke patients.  ...  assistance INTRODUCTION Standard of care leaves the majority of stroke survivors with a dysfunctional upper extremity and, consequently, with a long-term dependency on others for activities of daily living  ... 
doi:10.3389/fnins.2016.00367 pmid:27555805 pmcid:PMC4977295 fatcat:eixm47bddnf4dprbjsczygu3zm

Brain-Machine Interface Driven Post-stroke Upper-limb Functional Recovery Correlates with Beta-band Mediated Cortical Networks

Dheeraj Rathee, Anirban Chowdhury, Yogesh Kumar Meena, Ashish Dutta, Suzanne McDonough, Girijesh Prasad
2019 IEEE transactions on neural systems and rehabilitation engineering  
Brain-machine interface (BMI)-driven robot-assisted neurorehabilitation intervention has demonstrated improvement in upper-limb (UL) motor function, specifically, with post-stroke hemiparetic patients.  ...  Four adults were rehabilitated with the intervention for a period lasting up to six weeks.  ...  based neurorehabilitation system" (UKIERI-DST-2013-14/126).  ... 
doi:10.1109/tnsre.2019.2908125 pmid:30946671 fatcat:bwnzbsw2fngpbgg2axujwi6veu

Robotics in shoulder rehabilitation

C. Sicuri, G. Porcellini, G. Merolla
2019 Muscles Ligaments and Tendons Journal  
Up to now, robotic rehabilitation studies of the upper extremity have generally focused on stroke survivors leaving less explored the field of orthopaedic shoulder rehabilitation.  ...  and orthopaedic shoulder rehabilitation.  ...  new robotic systems for the upper limb.  ... 
doi:10.32098/mltj.02.2014.21 fatcat:l32bp64wvrb4teggqrga2fenhq

Robotics in shoulder rehabilitation

Chiara Sicuri
2014 Muscles Ligaments and Tendons Journal  
Up to now, robotic rehabilitation studies of the upper extremity have generally focused on stroke survivors leaving less explored the field of orthopaedic shoulder rehabilitation.  ...  and orthopaedic shoulder rehabilitation.  ...  new robotic systems for the upper limb.  ... 
doi:10.11138/mltj/2014.4.2.207 fatcat:7tgillixbrcztoybgvquhdnwby

Converging Robotic Technologies in Targeted Neural Rehabilitation: A Review of Emerging Solutions and Challenges

Kostas Nizamis, Alkinoos Athanasiou, Sofia Almpani, Christos Dimitrousis, Alexander Astaras
2021 Sensors  
Upon conclusion, we discuss the future directions for neural rehabilitation research, diagnosis, and treatment based on the discussed technologies and their major roadblocks.  ...  Muscular dystrophies benefit from electromyography and novel sensors that shed light on underlying neuromotor mechanisms in people with Duchenne.  ...  both for lower limb [66] and for upper limb rehabilitation [68] after SCI.  ... 
doi:10.3390/s21062084 pmid:33809721 pmcid:PMC8002299 fatcat:jv3tjm3w2nh2xhhlymbk7lmm5i
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