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Assist-As-Needed Exoskeleton for Hand Joint Rehabilitation Based on Muscle Effort Detection

Jenny Carolina Castiblanco, Ivan Fernando Mondragon, Catalina Alvarado-Rojas, Julian D. Colorado
2021 Sensors  
We used EMG signals acquired from four patients with post-stroke hand impairments for training machine learning models used to characterize muscle effort by classifying three muscular condition levels  ...  Experimental results indicate the maximum variation on velocity was 0.7 mm/s, while the proposed control system effectively modulated the movements of the exoskeleton based on the EMG readings, keeping  ...  Acknowledgments: We would like to thank the Brandenburgklinik Berlin-Brandenburg Hospital, Wandlitz, Germany, for support during the experiments with patients.  ... 
doi:10.3390/s21134372 pmid:34206714 fatcat:oeyec32sarcvnjsrfdcbw4ilku

Customized Interactive Robotic Treatment for Stroke: EMG-Triggered Therapy

L. Dipietro, M. Ferraro, J.J. Palazzolo, H.I. Krebs, B.T. Volpe, N. Hogan
2005 IEEE transactions on neural systems and rehabilitation engineering  
A system for electromyographic (EMG) triggering of robot-assisted therapy (dubbed the EMG game) for stroke patients is presented.  ...  Besides delivering customized robot-assisted therapy, the system can record signals that may be useful to better understand the process of recovery from stroke.  ...  Experiments II and III were aimed at testing the EMG game under unassisted and assisted conditions (robot assistance off and on, respectively).  ... 
doi:10.1109/tnsre.2005.850423 pmid:16200756 pmcid:PMC2752646 fatcat:zgejoddvljee5f5fsfqqisz6ui

Robotic Rehabilitation and Multimodal Instrumented Assessment of Post-stroke Elbow Motor Functions—A Randomized Controlled Trial Protocol

Alessandro Pilla, Emilio Trigili, Zach McKinney, Chiara Fanciullacci, Chiara Malasoma, Federico Posteraro, Simona Crea, Nicola Vitiello
2020 Frontiers in Neurology  
Conclusions: This randomized controlled trial aims to validate an innovative instrumented methodology for clinical spasticity assessment and functional rehabilitation, relying on the precision and accuracy  ...  Secondary outcomes will include biomechanical, muscular activity, and motor performance parameters extracted from instrumented assessments using the NEEM along with synchronous EMG recordings.  ...  These criteria are echoed in the American Stroke Association's Guidelines on Stroke Rehabilitation (13) and are all fulfilled by the current RCT, with specific focus on the treatment and assessment of  ... 
doi:10.3389/fneur.2020.587293 pmid:33193052 pmcid:PMC7643017 fatcat:5dawhor52necpo3mnsmnzyxkpu

Biofeedback Signals for Robotic Rehabilitation: Assessment of Wrist Muscle Activation Patterns in Healthy Humans

Marianna Semprini, Anna Vera Cuppone, Ioannis Delis, Valentina Squeri, Stefano Panzeri, Jurgen Konczak
2017 IEEE transactions on neural systems and rehabilitation engineering  
Results indicate that a low-dimensional control scheme incorporating EMG biofeedback could be an effective add-on for robotic rehabilitative protocols seeking to improve impaired motor function in humans  ...  For each trial, coefficients expressing the strength of each combination of modules and representing the underlying muscle recruitment, allowed for a highly reliable decoding of all experimental conditions  ...  Indeed, the use of customized robotassisted therapy driven by EMG biofeedback has been explored and the results indicate an added rehabilitation benefit for stroke patients when compared to robotic assistance  ... 
doi:10.1109/tnsre.2016.2636122 pmid:28114024 fatcat:3esk746phrdm5fmuwhwuvgtzrq

Neural Coding for Effective Rehabilitation

Xiaoling Hu, Yiwen Wang, Ting Zhao, Aysegul Gunduz
2014 BioMed Research International  
systems, and robot-assisted quantitative evaluation on the progress of rehabilitation programs.  ...  Future rehabilitation would be more home-based, automatic, and self-served by patients.  ...  Intelligent Rehabilitation Robots Based on EMG Coding Intelligent rehabilitation robots usually refer to the systems that can interact with the voluntary motor intentions of a user.  ... 
doi:10.1155/2014/286505 pmid:25258708 pmcid:PMC4167232 fatcat:jli4wj5bavagtcrfqygnleskxq

Subject-oriented overground walking pattern generation on a rehabilitation robot based on foot and pelvic trajectories

K.H. Low
2011 Procedia IUTAM  
A rehabilitation gait system has been developed to assist the subject-centric gait rehabilitation on overground walking.  ...  Furthermore, the pelvic motion serves as compensation to fulfill those predescribed foot trajectory, while the joint angles for the robotic orthosis attached to the lower limb are calculated based on the  ...  Technological University (NTU) for their supports provided throughout the tenure of the present work.  ... 
doi:10.1016/j.piutam.2011.04.012 fatcat:4lzftywdsvhkfjsikt4rwmyft4

Neuromechanical Biomarkers for Robotic Neurorehabilitation

Florencia Garro, Michela Chiappalone, Stefano Buccelli, Lorenzo De Michieli, Marianna Semprini
2021 Frontiers in Neurorobotics  
In this view, they could be finally used for enhancing the robot-assisted treatments.  ...  One of the current challenges for translational rehabilitation research is to develop the strategies to deliver accurate evaluation, prediction, patient selection, and decision-making in the clinical practice  ...  ACKNOWLEDGMENTS The authors gracefully acknowledge Silvia Chiappalone for providing the graphics of Figure 2 .  ... 
doi:10.3389/fnbot.2021.742163 pmid:34776920 pmcid:PMC8579108 fatcat:2zosr2jawfddldei65fmidjh7q

Motor modules in robot-aided walking

Leonardo Gizzi, Jørgen Nielsen, Francesco Felici, Juan C Moreno, José L Pons, Dario Farina
2012 Journal of NeuroEngineering and Rehabilitation  
Results: The muscular activity of volunteers could be described by low dimensionality (4 modules), as for overground walking.  ...  Methods: Non Negative Matrix Factorization was applied on surface electromyographic signals of 8 lower limb muscles of healthy subjects walking in gait robotic trainer at different walking velocities (  ...  For example, Hornby and colleagues [35] assessed that continuous sagittal plane assistance on robotic gait training administered to chronic stroke patients is not as effective as therapist-based training  ... 
doi:10.1186/1743-0003-9-76 pmid:23043818 pmcid:PMC3533908 fatcat:rvdwpu4p5rfd7hwm4w5qajkzou

Effects of robotic guidance on the coordination of locomotion

Juan C Moreno, Filipe Barroso, Dario Farina, Leonardo Gizzi, Cristina Santos, Marco Molinari, José L Pons
2013 Journal of NeuroEngineering and Rehabilitation  
This allows the design of robotic-aided rehabilitation strategies aimed at the modulation of motor modules, which are altered in stroke.  ...  Exoskeleton robotic devices are now often used in the rehabilitation practice to assist physical therapy of individuals with neurological disorders.  ...  We computed the total variability accounted for all muscles, conditions and gait sub-phases based on the number of motor modules extracted.  ... 
doi:10.1186/1743-0003-10-79 pmid:23870328 pmcid:PMC3724716 fatcat:yntj4qdp3ra6jfhmohfd3zm6xm

Effectiveness of Robot-Assisted Upper Limb Training on Spasticity, Function and Muscle Activity in Chronic Stroke Patients Treated With Botulinum Toxin: A Randomized Single-Blinded Controlled Trial

Marialuisa Gandolfi, Nicola Valè, Eleonora Kirilova Dimitrova, Stefano Mazzoleni, Elena Battini, Mirko Filippetti, Alessandro Picelli, Andrea Santamato, Michele Gravina, Leopold Saltuari, Nicola Smania
2019 Frontiers in Neurology  
Training protocols lasted for 5 weeks (45 min/session, two sessions/week). Before and after rehabilitation, a blinded rater evaluated patients.  ...  Conclusions: Robot-assisted training is as effective as conventional training on muscle tone reduction when combined with Botulinum toxin in chronic stroke patients with UL spasticity.  ...  Two physiotherapists, one for each group, carried out the rehabilitation procedures.  ... 
doi:10.3389/fneur.2019.00041 pmid:30766508 pmcid:PMC6365972 fatcat:kpkpq26ljfewzcp66a4zcd5dpq

Biopotential Signal Monitoring Systems in Rehabilitation: A Review

Arrigo Palumbo, Patrizia Vizza, Barbara Calabrese, Nicola Ielpo
2021 Sensors  
The main contributions of this paper are (i) the presentation of interesting works in the biomedical area, mainly focusing on sensors and systems for physical rehabilitation and health monitoring between  ...  Mostly, we focused our contribution in EMG signals to highlight its importance in rehabilitation context applications.  ...  EMG in Sports Rehabilitation Surface EMG can evaluate the status of skeletal muscles, assisting in muscular training and rehabilitation.  ... 
doi:10.3390/s21217172 pmid:34770477 pmcid:PMC8587479 fatcat:sldiectsavfftha77kycn4x2ra

Multimodal adaptive interfaces for 3D robot-mediated upper limb neuro-rehabilitation: An overview of bio-cooperative systems

Davide Simonetti, Loredana Zollo, Eugenia Papaleo, Giorgio Carpino, Eugenio Guglielmelli
2016 Robotics and Autonomous Systems  
. • A multimodal 3D robotic platform for upper limb rehabilitation of post stroke patients. • Mechatronic module for guaranteeing arm-weight support during therapy. a b s t r a c t Robot-mediated neuro-rehabilitation  ...  Such module records patient biomechanical data through an unobtrusive, wearable sensory system, evaluates patient biomechanical state and updates robot control parameters for modifying level of assistance  ...  This work was supported by the EU Project EC FP7-ICT-231143 ECHORD and by EU Project Horizon 2020 Programme, ICT-22-2014: Multimodal and Natural computer interaction Adaptive Multimodal Interfaces to Assist  ... 
doi:10.1016/j.robot.2016.08.012 fatcat:oucg3xb47zbezlnleuacoyvu5m

Rhythmic Auditory Stimulation in Rehabilitation of Movement Disorders: A Review Of Current Research

Michael H. Thaut, Mutsumi Abiru
2010 Music Perception  
Based on these physiological connections, a large number of clinical studies have researched the effectiveness of rhythm and music to produce functional change in motor therapy for stroke, Parkinson's  ...  disease, traumatic brain injury, and other conditions.  ...  Participants also showed a more balanced muscular activation pattern on EMG between the paretic and nonparetic limbs.  ... 
doi:10.1525/mp.2010.27.4.263 fatcat:nrnh2o66tjcu3ifceliygbtubi

Model Predictive Control for Human-Centred Lower Limb Robotic Assistance [article]

Christopher Caulcrick, Weiguang Huo, Enrico Franco, Samer Mohammed, Will Hoult, Ravi Vaidyanathan
2020 arXiv   pre-print
We introduce a model predictive control (MPC) architecture for lower limb exoskeletons centred around a fuzzy logic algorithm (FLA) identifying modes of assistance based on human involvement.  ...  Results illustrate an objective approach to lower limb robotic assistance through on-the-fly transition between modes of movement, providing a new level of human-robot synergy for mobility assist and rehabilitation  ...  Significant effort has been focused on synergising exoskeleton action for patients with the capacity to provide partial muscular efforts (e.g. elderly or stroke patients), for whom the exoskeleton complements  ... 
arXiv:2011.05079v1 fatcat:ihsltjs4crbe7gt22pzctnmaga

Experimental Protocol to Assess Neuromuscular Plasticity Induced by an Exoskeleton Training Session

Roberto Di Marco, Maria Rubega, Olive Lennon, Emanuela Formaggio, Ngadhnjim Sutaj, Giacomo Dazzi, Chiara Venturin, Ilenia Bonini, Rupert Ortner, Humberto Cerrel Bazo, Luca Tonin, Stefano Tortora (+3 others)
2021 Methods and Protocols  
Interfaces based on physiological signals, e.g., recorded by electroencephalography (EEG) and/or electromyography (EMG), could contribute to solving this technological challenge.  ...  This protocol aims to: (1) quantify neuro-muscular plasticity induced by a single training session with a robotic exoskeleton on post-stroke people and on a group of age and sex-matched controls; (2) test  ...  Determine optimal training parameters for individualized gait training (based on knowledge built on 1. and 2.). 4.  ... 
doi:10.3390/mps4030048 pmid:34287357 fatcat:gapa6wcwuretblg6wo42vv3ylm
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