Posts Tagged neuro-rehabilitation

[NEWS] Thunderbirds fund cutting-edge rehab enhancements for Barrow

Above: The Thunderbirds Charities gift to Barrow Neurological Foundation is being used to acquire four new devices, similar to this robotic hand. These instruments enable therapists at the Barrow Neuro-Robotics Rehabilitation Center to personalize therapy based on a patient’s abilities.

Patients recovering from stroke, traumatic brain and spine injuries will now have a leg up in their recovery journeys, thanks to a $350,000 grant from Thunderbirds Charities to Barrow Neurological Foundation.
An estimated 13.8 million Americans live with a disability caused by a brain or spinal cord injury, and each year, Barrow records more than 30,000 outpatient visits in the Neuro-Rehabilitation Center.

With this gift from Thunderbirds Charities, Barrow will acquire four cutting-edge devices for its Neuro-Robotics Rehabilitation Center, which provides personalized therapy to deliver better outcomes in less time. These robotics include:

• A body weight-supported treadmill that uses augmented and virtual reality to simulate challenges in everyday life, such as walking a golf course.

• A robot-assisted shoulder and arm rehabilitation device with intelligent gravity compensation and virtual reality to work on skills needed for daily function.

• A sensor-based device used to work on balance and posture training.

• An interactive surface for upper extremity, cognitive and sensory retraining to allow patients to practice motor skills.

Barrow has been at the forefront in the use of robotics, which mimic normal human movements and can be programmed to support or challenge a patient’s abilities. Many of these devices incorporate an interactive component, creating a game-like experience for the patient to conquer.

“These new robotics will help Barrow patients relearn how to stand, walk and perform skills that many take for granted, while also providing our therapists with more advanced tools to monitor progress,” said Katie Cobb, president of Barrow Neurological Foundation. “We want to thank Thunderbirds Charities for providing these life-changing tools for our patients’ continued recovery.”

“Barrow’s Neuro-Robotics Rehabilitation Center is making a positive, profound impact on the health of patients recovering from severe and debilitating injuries, and we are honored to be able to support such a great mission,” said Carlos Sugich, President of Thunderbirds Charities.

via Thunderbirds fund cutting-edge rehab enhancements for Barrow | AZ Big Media

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[VIDEO] Relearning and Retraining in Brain Injury Rehabilitation Does VR help? – YouTube

Δημοσιεύτηκε στις 20 Ιουν 2018

Dr. Sharan Srinivasan | Stereotactic and Functional Neurosurgeon, CMD-NewRo- the neuro rehab experts presents on “Relearning and Retraining in Brain Injury Rehabilitation Does VR help?” at the vamrr Summit on Virtual Reality in Health | 21 March | Bengaluru


via Relearning and Retraining in Brain Injury Rehabilitation Does VR help? – YouTube

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[Abstract + References] Classifying Imaginary Hand Movement through Electroencephalograph Signal for Neuro-rehabilitation


Brain-Computer-Interface (BCI) has been widely used in the field of neuro-rehabilitation such as automatic controls based on brain commands to upper and lower extremity prosthesis devices in patients with paralysis. In a post-stroke period, approximately 50% of stroke sufferers have unilateral motor deficits leading to a chronic decline in chronic upper extremity function. Stroke affects patients in their productive and elderly age which is potentially creating new problems in national health development. BCI can be used to aid post-stroke patient recovery, thus motion detection and classification is essential for optimizing BCI device control. Therefore, this study aims to distinguish several hand functions such as grasping, pinching, and hand lifting from releasing movement in accordance with the usual movements performed during post-stroke rehabilitation based on brain signals obtained from electroencephalogram (EEG). In this study, the information that obtained from the processing of EEG signals were be used as inputs for artificial neural networks then classified to distinguish two types of imaginary hand movements (grasping v. releasing, pinching v. releasing, hand lifting v. releasing). The results of these classifications using Extreme Learning Machine (ELM) based on spectral analysis and CSP (Common Spatial Pattern) calculation show that ELM and CSP was a good feature in distinguishing two types of motion with software/system accuracy average above 95%. This could be useful for optimizing BCI devices in neuro-rehabilitation, such as combining with Functional Electrical Stimulator (FES) device as a self-therapy for post-stroke patient.


Badan Penelitian dan Pengembangan Kesehatan. Riset Kesehatan Dasar 2013, Available at :, accesed February 2017.

J. A. Franck. Concise Arm and Hand Rehabilitation Approach in Stroke. vol. 3. no. 4. 2015.

N. Birbaumer. A. R. Murguialday. and L. Cohen. Brain-computer interface in paralysis. Curr. Opin. Neurol. vol. 21. no. 6. pp. 634–8. 2008.

J. J. Daly. R. Cheng. J. Rogers. K. Litinas. K. Hrovat. and M. Dohring. Feasibility of a New Application of Noninvasive Brain Computer Interface (BCI): A Case Study of Training for Recovery of Volitional Motor Control After Stroke. J. Neurol. Phys. Ther. vol. 33. no. 4. pp. 203–211. 2009.

K. K. Ang. C. Guan. K. S. Phua. C. Wang. L. Zhou. K. Y. Tang. G. J. Ephraim Joseph. C. W. K. Kuah. and K. S. G. Chua. Brain-computer interface-based robotic end effector system for wrist and hand rehabilitation: results of a three-armed randomized controlled trial for chronic stroke.. Front. Neuroeng. vol. 7. no. July. p. 30. 2014.

E. Buch. C. Weber. L. G. Cohen. C. Braun. M. A. Dimyan. T. Ard. J. Mellinger. A. Caria. S. Soekadar. A. Fourkas. and N. Birbaumer. Think to move: A neuromagnetic brain-computer interface (BCI) system for chronic stroke. Stroke. vol. 39. no. 3. pp. 910–917. 2008.

G.-B. Huang. Q. Zhu. C. Siew. G. H. Ã. Q. Zhu. C. Siew. G.-B. Huang. Q. Zhu. and C. Siew. Extreme learning machine: Theory and applications. Neurocomputing. vol. 70. no. 1–3. pp. 489–501. 2006.

Emotiv Insight User Manual. 2015, Availabe at :, accessed June 2017

P. Szachewicz. Classification of Motor Imagery for Brain-Computer Interfaces. p. 50. 2013.

B. Shoelson. edfRead, Available at : 31900-edfread, accesed February 2017.

J. Ethridge and W. Weaver. Common Spatial Patterns Alogarithm. MatlabCentral. 2009. .

Q. Yuan. W. Zhou. S. Li. and D. Cai. Epileptic EEG classification based on extreme learning machine and nonlinear features. Epilepsy Res. vol. 96. no. 1–2. pp. 29–38. 2011.

G. Huang. Introduction to Extreme Learning Machines. Hands-on Work. Mach. Learn. Biomed. Informatics 2006. 2006.

M. H.. A. Samaha. and K. AlKamha. Automated Classification of L/R Hand Movement EEG Signals using Advanced Feature Extraction and Machine Learning. Int. J. Adv. Comput. Sci. Appl. vol. 4. no. 6. p. 6. 2013.

G. Lange. C. Y. Low. K. Johar. F. A. Hanapiah. and F. Kamaruzaman. Classification of Electroencephalogram Data from Hand Grasp and Release Movements for BCI Controlled Prosthesis. Procedia Technol. vol. 26. pp. 374–381. 2016.

X. Yong and C. Menon. EEG classification of different imaginary movements within the same limb. PLoS One. vol. 10. no. 4. pp. 1–24. 2015.

via Classifying Imaginary Hand Movement through Electroencephalograph Signal for Neuro-rehabilitation | Rahma | Walailak Journal of Science and Technology (WJST)

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[ARTICLE] Development of a robotic device for post-stroke home tele-rehabilitation – Full Text

This work deals with the complex mechanical design task of converting a large pneumatic rehabilitation robot into an electric and compact system for in-home post-stroke therapies without losing performance. It presents the new HomeRehab robot that supports rehabilitation therapies in three dimensions with an adaptive controller that optimizes patient recovery. A preliminary usability test is also conducted to show that its performance resembles that found in RoboTherapist 2D commercial system designed for hospitals. The mechanical design of a novel and smart two-dimensional force sensor at the end-effector is also described.

According to the World Health Organization, by 2050, the number of persons over 65 years old will increase by 73% in the industrialized countries and by 207% worldwide.1 This segment of population is particularly prone to suffer a cerebrovascular accident or stroke, since the relative incidence of stroke doubles every decade after age 55. Stroke survivors immediately experience hemiparesis, resulting in impairment of extremities associated with diminished health-related quality of life.2 Rehabilitation can help hemiparetic patients to learn new ways of using and moving their weak arms and legs. It is also possible with immediate therapy that people who suffer from hemiparesis may eventually regain movement. However, reductions in healthcare reimbursement place constant demands on rehabilitation specialists to reduce the cost of care and improve productivity.3 Service providers have responded by shortening the length of patient hospitalization.4,5 Additionally, early home supported discharge of subacute stroke patients has been proved to have a significant impact on motor recovery after stroke although it requires some level of innovation of methods and tools for service delivery to really become a sustainable solution for the healthcare system.6,7 All these reasons support the necessity of in-home rehabilitation systems as the one proposed in this work.

Socially, chronic stroke patients can highly benefit from innovative approaches based on home rehabilitation therapy.8 Technological and scientifically, only a few commercial systems are currently available for in-home use (e.g. HandMentor™,9 ReJoyce,10 and ArmeoBoom from Hocoma), and their performances are not comparable to in-person therapies.11 Key challenges not addressed properly for home systems include features such as affordability, autonomy, and high performance. Only if all requirements are satisfied, it will be possible to encourage national health systems, insurance companies, and patients to apply such platforms.

This work is part of an ongoing project called HomeRehab that will develop a new tele-rehabilitation robotic system for delivering therapy to stroke patients at home. Instead, Technologies has a robotic system called RoboTherapist 2D (Figure 1) developed to provide rehabilitation to patients who suffer from stroke and/or other neurological disorders.12 Currently, the system, as the majority of commercial devices, is only designed to be used in hospitals and medical centers in collaboration with nurses and medical staff.13


Figure 1. RoboTherapist 2D system from Instead Technologies.

HomeRehab aims to modify and adapt the system so it can be used at home by patients easily and supporting the premise of tele-rehabilitation.14 This article describes in detail the mechanical design of the new HomeRehab system that adapts the RoboTherapist 2D for in-home use by making it smaller, lighter, and cheaper, but maintaining its high performance. Additionally, the system includes a third degree-of-freedom (DOF) plus a novel low-cost force sensor that were not considered for the original platform, but they are very interesting features for a complete in-home solution. Another key feature of the whole system is that it integrates patient monitoring techniques using wearable devices to monitor the physiological state of the patient and modify exercises based on that information.

The following section briefly summarizes the main requirements considered to develop a successful device, and afterward in section “Mechanical design,” the mechanical design of the new system is described in detail. Section “Robot controller” presents the controller of the robot as well as the adaptive controller implemented for the rehabilitation therapies. Section “Usability pilot study” carries out a validation phase by conducting several tests and surveys to compare the usability of RoboTherapist 2D with HomeRehab, and last section gathers main conclusions. […]


Continue —>   Development of a robotic device for post-stroke home tele-rehabilitationAdvances in Mechanical Engineering – Iñaki Díaz, José María Catalan, Francisco Javier Badesa, Xabier Justo, Luis Daniel Lledo, Axier Ugartemendia, Jorge Juan Gil, Jorge Díez, Nicolás García-Aracil, 2018

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[Abstract] A novel approach to integrate VR exer-games for stroke rehabilitation: Evaluating the implementation of a ‘games room’


This study evaluates the integration of virtual reality (VR) exer-games for people post-stroke through the implementation of a “exer-games room” in an inpatient rehabilitation hospital. Qualitative data (interviews with patients and clinicians) and quantitative data (from the first year of operation of the games room) are synthesized and reviewed to provide an overall interpretative evaluation. The Consolidated Framework for Implementation Research (CFIR) is used to analyze the successful and less successful factors involved in the implementation.

Source: A novel approach to integrate VR exer-games for stroke rehabilitation: Evaluating the implementation of a ‘games room’ – IEEE Xplore Document

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[WEB SITE] Press Release: New Move to Use Robots for Stroke Rehabilitation –

Due to the high costs of clinical neuro-rehabilitation, post stroke treatments are limited in all countries to only a few weeks to months after the stroke event. Any system aimed at pro-longing neuro-rehabilitation out of the clinics, for example at patients’ homes; that can use low cost treatments, addresses a major issue in our current health care management systems.

How SCRIPT will contribute:

The SCRIPT project will produce two prototype robotic devices, a passive‐actuated device and one actuated actively, both of which can be used in the stroke patient’s home. Provision of motivating and challenging therapeutic activities using a robotic hand and wrist rehabilitation device at home, will provide a chance for more frequent therapies and interactions. It is thought that such frequent interaction will further influence recovery at chronic phases of stroke rehabilitation.

The principal aims of SCRIPT are to:

• use such rehabilitative technologies at patient’s home to enable better management of chronic stroke patients
• focus on hand and wrist exercise; as this presents the least researched area with the most functional relevance and potential for contribution to personal independence.
• look at differences between passive and active actuated devices.
• provide an educational, motivational and engaging interaction, therefore making a therapy session more enjoyable for patients.
• focus on remote management and support of the patient.
• deduce from summative evaluation in this project, the impact on health and recovery and its potential cost implications.

The SCRIPT multidisciplinary team has existing expertise in all aspects of robot‐mediated therapy, clinical evaluation and interface design and usability. After their discharge from the hospital a patient can begin using the SCRIPT developed robotic tools at home. SCRIPT systems will be adaptive to the user requirements and provide immediate feedback to a patient on their performance. The feedback will also be provided to an “off-site” health care professional with in‐depth considerations for security and confidentiality, who can remotely monitor progress, making adjustments to the support that the device provides.

We believe that the SCRIPT systems will be beneficial to patient recovery and can assist with improving their quality of life. SCRIPT will reduce hospital and home visits for patients & carers, and therefore have a large impact on reducing hospital costs; improving the quality and standard of care.

The SCRIPT project is partially funded by the European Commission under the 7th Framework Programme. The project activities will last for 36 months.

The Project partners are:


R.U.ROBOTS LIMITED (RUR), United Kingdom
MOOG BV (MOOG), Netherlands

For any further information about project development and implementation, please contact:

Dr.Farshid Amirabdollahian
School of Computer Science
University of Hertfordshire
College Lane
Hatfield Herts AL10 9AB
United Kingdom
Ph: +44-1707286125

Further information can be found at:

See our links section for other media coverage from the press release

Source: Press Release: New Move to Use Robots for Stroke Rehabilitation |

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[Abstract] Ethical Considerations in Providing an Upper Limb Exoskeleton Device for Stroke Patients


The health care system needs to face new and advanced medical technologies that can improve the patients’ quality of life by replacing lost or decreased functions. In stroke patients, the disabilities that follow cerebral lesions may impair the mandatory daily activities of an independent life. These activities are dependent mostly on the patient’s upper limb function so that they can carry out most of the common activities associated with a normal life. Therefore, an upper limb exoskeleton device for stroke patients can contribute a real improvement of quality of their life. The ethical problems that need to be considered are linked to the correct adjustment of the upper limb skills in order to satisfy the patient’s expectations, but within physiological limits. The debate regarding the medical devices dedicated to neurorehabilitation is focused on their ability to be beneficial to the patient’s life, keeping away damages, injustice, and risks.

Source: Ethical Considerations in Providing an Upper Limb Exoskeleton Device for Stroke Patients – Medical Hypotheses

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[Review] iPad Use in Stroke Neuro-Rehabilitation – Full Text PDF


Neuro-rehabilitation services are essential in reducing post-stroke impairments, enhancing independence, and improving recovery in hospital and post-discharge. However these services are therapist-dependent and resource intensive. Patients’ disengagement and boredom in stroke units are common which adversely affect functional and psychological outcomes. Novel techniques such as use of iPads™ are increasingly researched to overcome such challenges.

The aim of this review is to determine the feasibility, effectiveness, acceptability, and barriers to the use of iPads™ in stroke neuro-rehabilitation. Four databases and manual literature search were used to identify published studies using the terms “iPad”, “Stroke”, and “neuro-rehabilitation”. Studies were included in accordance with the review selection criteria. A total of 16 articles were included in the review. The majority of the studies focused on iPads use in speech and language therapy. Although of small scale, the studies highlighted that iPads are feasible, have the potential to improve rehabilitation outcomes, and can improve patient’s social isolation. Patients’ stroke severity and financial limitations are some of the barriers highlighted in this review. This review presents preliminary data supportive for the use of iPad technology in stroke neuro-rehabilitation. However, further research is needed to determine impact on rehabilitation goals acquisition, clinical efficacy, and cost-efficiency.

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[WEB SITE] Restorative Therapies’ Xcite FES System Receives CE Mark – Rehab Managment

Baltimore-based Restorative Therapies Inc announces that its new Xcite Functional Electrical Stimulation (FES) rehabilitation system has received a CE mark and has been approved for marketing in Canada.

The system delivers up to 12 channels of electrical stimulation to nerves that activate core, leg, and arm muscles and help enable them to move.

“Xcite system inherits many of the popular RT300 FES cycle’s great features including personalized muscle selection, secure Internet connectivity and physical therapy clinic ease of use.” says Andrew Barriskill, CEO of Restorative Therapies, in a media release from the company. “We are excited to have obtained CE marking and Canadian approval for this product, which will allow us to market the system in Canada and many other international markets.”

“Xcite is a physical and occupational therapy system which provides a library of coordinated multichannel FES therapies for people with neurological impairments,” states Prof David Ditor of Brock University, in Ontario, Canada. “After being involved in the development trials, we are excited to see the system obtain the CE mark and Canadian approval making the system more widely available.”

“In addition to combining several valuable neuro-rehabilitation interventions, functional electrical stimulation, mass practice, and neuromuscular re-education, Xcite is portable and easy enough to use that it could be used in the patient’s home,” adds Prof Susan Harkema of the Kentucky Spinal Cord Injury Research Center, University of Louisville, according to the release.

[Source(s): Restorative Therapies Inc, PRWeb]

Source: Restorative Therapies’ Xcite FES System Receives CE Mark – Rehab Managment

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[WEB SITE] The Rehabilitation Gaming System – NEURO-REHABILITATION | SPECS – Synthetic, Perceptive, Emotive and Cognitive Systems group

The Rehabilitation Gaming System is a novel technology for Neuro-Rehabilitation that assists in the recovery of function after lesions to the brain. RGS is based on concrete neuroscientific principles of brain mechanisms of function in health and disease. RGS was initially developed via the project 

Image: Extension of brain damage after stroke.

Image: A stroke patient trains with RGS under the supervision of her physician/physioterapist at Val d’Hebron Hospital in Barcelona. Stroke can cause brain damage with loss of motor and cognitive functions. The efficacy of RGS in the recovery of these functions has been clinically tested with hundreds of patients. RGS is based on the neurobiological considerations that plasticity of the brain remains throughout life and therefore can be utilized to achieve functional reorganization of the brain areas affected by stroke.







RGS was developed by combining the idea of interactive media use for neurorehabilitation, in particular virtual reality, with the DAC theory of mind and brain. This decision was a key step in the realization of RGS since it made choices on the content of non-arbitrary treatment protocols and every intervention became a well defined interaction with a user from which lessons could be immediately drawn. By now RGS incorporates about 20 specific DAC derived principles that range from the key role of sensori-motor contingencies in organizing cognition and action (see Prochnow, D. et al., Eur. J. of Neurosc. 2013) to the importance of goal-oriented and error-driven intervention. (see Belen Rubio Ballestr et al., J. NeuroEng. Rehab. 2015)

RGS has advanced over the last decade with an extensive experimental agenda realized with dedicated partners in Barcelona 

To support our experimental studies we have installed RGS therapy stations which are in continuous use in associated hospitals (see collaborators below). As a result, RGS has build up an unprecedented empirical track record (see key references sbelow) having been tested with over 500 patients at the acute and chronic stages of stroke, including at home settings. Building on these results, together with our clinical partners, we are now validating the generalization of RGS to other neuropathologies such as Parkinson’s disease, cerebral palsy, traumatic brain injury and spinal cord lesions and the initial analysis looks very encouraging.

Many of the patients in our clinical experiments have asked to be able to continue the RGS therapy.

This demand combined with the clinical results that show that RGS is more effective than any other intervention available today, has lead to the creation of the spin-off company together with the University Pompeu Fabra and the Catalan Institute of Advanced Studies. Eodyne’s goal is to make RGS available to as many people as possible for a minimum cost.

Schematic representation of the RGS platform: from the laboratory to the patient @clinic and @home


The SPECS laboratory lead by prof. Paul Verschure collaborates with Hospital la Esperanza, in particular with Dr Ester Duarte and “TiC Salut Foundation” a catalan agency that is part of the Ministry of Health.

For more visit —> NEURO-REHABILITATION | SPECS – Synthetic, Perceptive, Emotive and Cognitive Systems group

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