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Posts Tagged Robotic
[Abstract] Does hand robotic rehabilitation improve motor function by rebalancing interhemispheric connectivity after chronic stroke? Encouraging data from a randomised-clinical-trial.
The objective of this study was the evaluation of the clinical and neurophysiological effects of intensive robot-assisted hand therapy compared to intensive occupational therapy in the chronic recovery phase after stroke.
50 patients with a first-ever stroke occurred at least six months before, were enrolled and randomised into two groups. The experimental group was provided with the Amadeo™ hand training (AHT), whereas the control group underwent occupational therapist-guided conventional hand training (CHT). Both of the groups received 40 hand training sessions (robotic and conventional, respectively) of 45 min each, 5 times a week, for 8 consecutive weeks. All of the participants underwent a clinical and electrophysiological assessment (task-related coherence, TRCoh, and short-latency afferent inhibition, SAI) at baseline and after the completion of the training.
The AHT group presented improvements in both of the primary outcomes (Fugl-Meyer Assessment for of Upper Extremity and the Nine-Hole Peg Test) greater than CHT (both p < 0.001). These results were paralleled by a larger increase in the frontoparietal TRCoh in the AHT than in the CHT group (p < 0.001) and a greater rebalance between the SAI of both the hemispheres (p < 0.001).
These data suggest a wider remodelling of sensorimotor plasticity and interhemispheric inhibition between sensorimotor cortices in the AHT compared to the CHT group.
These results provide neurophysiological support for the therapeutic impact of intensive robot-assisted treatment on hand function recovery in individuals with chronic stroke.
This paper developed a robotics-assisted device for the stroke patients to perform the hand rehabilitation. Not only the system can perform passive range of motion exercises for impaired hand, but also can perform mirror therapy for pinching and hand grasping motions under the guidance of the posture sensing glove worn on patient’s functional hand. Moreover, the framework and operation flow of the developed system has been and delineated in this paper. Practical results with human subjects are shown in this paper to examine the usability of proposed system, trial experiment of advance mirror therapy that use the proposed system to interact with realities is also presented in this paper.
Motus Nova is expanding its list of partner hospitals and clinics using its FDA-approved robotic stroke therapy system. It also plans to introduce its system to the consumer market for home use in Q3 2019.
Twenty-five hospitals in the Atlanta area within Emory Healthcare, the Grady Health System, and the Wellstar Health System are now using the Motus Nova rehabilitation therapy system, which is designed to use Artificial Intelligence (AI) to accelerate recovery from neurological injuries such as strokes.
The system features a Hand Mentor and Foot Mentor, which are sleeve-like robots that fit over a stroke survivor’s impaired hand or foot. Equipped with an active-assist air muscle and a suite of sensors and accelerometers, they provide clinically appropriate assistance and resistance while individual’s perform the needed therapeutic exercises.
A touchscreen console provides goal-directed biofeedback through interactive games—which Motus Nova calls “theratainment”—that make the tedious process of neuro rehab engaging and fun.
“It’s a system that has proven to be a valuable partner to stroke therapy professionals, where it complements skilled clinical care by augmenting the repetitive rehabilitation requirements of stroke recovery and freeing the clinician to do more nuanced care and assessment,” says Nick Housley, director of clinical research for Atlanta-based Motus Nova, in a media release.
“And while we continue to fill orders for the system to support therapy in the clinic and hospital, we also are looking to use our system to fill the gap patients often experience in receiving the needed therapy once they go home.”
Clinical studies show that neuroplasticity begins after approximately many 10’s to 100’s of hours of active guided rehab. The healing process can take months or years, and sometimes the individuals might never fully recover. Yet the typical regimen for stroke survivors is only two to three hours of outpatient therapy per week for a period of three to four months.
“These constraints were instituted by the Centers for Medicare & Medicaid Services (CMS) in determining Medicare reimbursement without a full understanding of the appropriate dosing required for stroke recovery, and many private insurers have adopted the policy, as well,” states David Wu, Motus Nova’s CEO.
Motus Nova plans to offer a more practical model, the release continues.
“By making the system available for home use at a reasonable weekly rate as long as the patient needs it, the individual can perform therapy anytime,” Wu adds. “A higher dosage of therapy can be achieved without the inconvenience of scheduling appointments with therapists or traveling to and from a clinic, and without the high cost of going to an outpatient center every time the individual wants to do therapy.”
While the system gathers data about individual performance, AI tailors the regimen to maximize user gains, discover new approaches, minimize side effects and help the stroke survivor realize his or her full potential more quickly.
“By optimizing factors such as frequency, intensity, difficulty, encouragement, and motivation, the AI system builds a personalized medicine plan uniquely tailored to each individual user of the system,” Housley comments.
“Our system is durable, too, proven in clinical trials to deliver an engaging physical therapy experience over thousands of repetitions. We look forward to making it available on a much wider scale in the coming months.”
[Source(s): Motus Nova, PR Newswire]
BIONIK Laboratories Corp launches its newest generation InMotion ARM/HAND robotic system for clinical rehabilitation of stroke survivors and those with mobility impairments due to neurological conditions.
The new technology, which made its official debut recently at the American Physical Therapy Association Combined Sections Meeting (APTA CSM) in Washington, DC, includes the following new features, according to the Toronto-based company:
- Enhanced hand-rehabilitation technology: provides therapy focused on hand opening and grasping for patients ready to retrain reach and grasp functional tasks.
- InMotion EVAL: assesses hand movements precisely and objectively, allowing clinicians to better measure and quantify patient progress.
- Improved, comprehensive reporting: improved documentation of patient outcomes, easier use and enhanced interpretation of evaluation results, allowing clearer progress indications over the complete rehabilitation journey, all on one screen.
“The goal of our new generation InMotion ARM/HAND is to enable rehabilitation facilities to enhance their treatment programs for patients recovering from stroke or other neurological injury who are ready to retrain reach and grasp functionality. Along with the improved reporting capabilities, we believe our innovative technology will enable clinicians to improve the patient rehabilitation process and achieve greater recovery for stroke survivors,” says Dr Eric Dusseux, CEO, BIONIK Laboratories, in a media release.
“We’re pleased to unveil the new generation InMotion ARM/HAND at APTA CSM and to showcase its functionality to some of the leading minds in physical therapy,” he adds.
[Source(s): BIONIK Laboratories Corp, Business Wire]
[Abstract] Combining Transcutaneous Vagus Nerve Stimulation and Upper-Limb Robotic Rehabilitation in Chronic Stroke Patients
Introduction And Aims: Vagus nerve stimulation (VNS) is a promising approach for enhancing rehabilitation effects in stroke patients, but the invasiveness of this technique reduces its clinical application. Recently, a non-invasive technique for stimulating vagus nerve has been developed. We evaluated safety, feasibility, and efficacy of noninvasive VNS combined with robotic rehabilitation for improving upper limb functionality in chronic stroke.
via Combining Transcutaneous Vagus Nerve Stimulation and Upper-Limb Robotic Rehabilitation in Chronic Stroke Patients – Brain Stimulation: Basic, Translational, and Clinical Research in Neuromodulation
[BOOK Chapter] Application of a Robotic Rehabilitation Training System for Recovery of Severe Plegie Hand Motor Function after a Stroke – Full Text PDF
We have developed a rehabilitation training system (UR-System-PARKO: Useful
and Ultimate Rehabilitation System-PARKO) for patients after a stroke to promote
recovery of motor function of the severe plegic hand with hemiplegia. A clinical
test with six patients for the therapeutic effect of the UR-System-PARKO for severe
plegic hand was performed. For all patients, the active ranges of motion (total
active motion) of finger extension improved after training with the UR-SystemPARKO. Moreover, the modified Ashworth scale (MAS) scores of finger extension
increased. Thus, the training reduced the spastic paralysis. These results suggest the
effectiveness of training with the UR-System-PARKO for recovery of motor function as defined by finger extension in the severe plegic hand.
Stroke is the leading cause of disability in Japan, with more than 1 million people
in Japan living with a disability as a result of stroke. Therefore, interventions that
address the sensorimotor impairments resulting from stroke are important. Motor
function may be restored more than 6 months after a stroke [1, 2], but these studies
included patients with only moderate poststroke hemiplegia, whereas most stroke
survivors have a severely plegic hand with difficulty extending the fingers . This
suggests that a method is needed for treatment of these severely affected cases.
However, although a few studies on rehabilitation therapy for severe plegic hands
have been reported, no marked recovery of ability in extension of the fingers of
the plegic hands was achieved in any study [4, 5]. Proprioceptive neuromuscular
facilitation (PNF) is a therapeutic method that was reported to increase the muscle
strength of the plegic extremities in patients with stroke-induced hemiplegia .
However, since PNF is indicated for patients with a certain level of joint motion,
this method has not been used for severe plegic hands where the fingers cannot
extend. Thus, the first author developed a method to build up the extensor digitorum muscle strength using PNF [7, 8] for stroke patients with severe hemiplegia.
With this therapy, he has performed repeated facilitation training using his hands
on stroke patients with a severe plegic hand to help them recover their motor function, and a good treatment outcome was achieved [9, 10] (Figure 1).
Facilitation training uses extension of the elbow joint with resistance applied to
the tips of the fully extended hemiplegic fingers to increase the force of the extensor digitorum muscle. However, this approach is time-consuming for the therapist.
Therefore, development of a training system is required instead of repeated
facilitation training by a therapist. The objectives of this study were to develop
a training system to increase the output of the extensor digitorum muscle force
and to verify the effect of training with the developed system on a severe plegic
hand. The training system is called the UR-System-PARKO (a useful and ultimate
rehabilitation support system for PARKO). The UR-System-PARKO was developed
by remodeling the simplified training system, which developed previously for
resistance training of hemiplegic upper limbs . A brace for securing the plegic
hand to the UR-System-PARKO was developed on the basis of repeated facilitation
training by a therapist.[…]
A research team at Hong Kong Polytechnic University (PolyU) has developed a robotic arm to facilitate self-help and upper-limb mobile rehabilitation for stroke patients after discharge from hospital.
Referred to as a mobile exo-neuro-musculo-skeleton, the robotic arm enables intensive and effective self-help rehabilitation exercise.
The lightweight device is said to be the first of its kind to combine exo-skeleton, soft robot and exo-nerve stimulation technologies. It is intended to cater to the increasing need for outpatient rehabilitation service for stroke patients.
PolyU Department of Biomedical Engineering researcher Hu Xiaoling said: “We are confident that with our mobile exo-neuro-musculo-skeleton, stroke patients can conduct rehabilitation training anytime and anywhere, turning the training into part of their daily activities.
“We hope such flexible self-help training can well supplement traditional outpatient rehabilitation services, helping stroke patients achieve a much better rehabilitation progress.”
Designed to be flexible and easy-to-use, the robotic arm is compact in size, has fast responses and requires a minimal power supply.
It comprises different components for the wrist/hand, elbow, and fingers that can be worn separately or together for various functional training needs. The device can also be connected to a mobile application, where users can manage their training.
The exo-skeleton and soft robot components of the device offer external mechanical forces guided by voluntary muscle signals in order to facilitate the desired joint movement for the patients.
PolyU improved the rehabilitation by adding its Neuro-muscular Electrical Stimulation (NMES) technology, which allows the robotic arm to contract user’s muscles when electromyography signals are detected.
When tested in a clinical trial involving ten stroke patients, the robotic arm is reported to have led to better muscle coordination, wrist and finger functions, and lower muscle spasticity following 20 two-hour training sessions.
The researchers plan to collaborate with hospitals and clinics for conducting additional trials.
[WEB SITE] HOMEREHAB – Development of Robotic Technology for Post-Stroke Home Tele-Rehabilitation – The European Coordination Hub for Open Robotics Development
Rehabilitation can help hemiparetic patients to learn new ways of using and moving their weak arms and legs. With immediate therapy it is also possible 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. Service providers have responded by shortening the length of patient hospitalisation.
The HOMEREHAB project will develop a new tele-rehabilitation robotic system for delivering therapy to stroke patients at home. It will research on the complex trade-off between robotic design requirements for in home systems and the performance required for optimal rehabilitation therapies, which current commercial systems designed for laboratories and hospitals do not take into account. Additionally, the new home scenario also demands for the smart monitoring of the patient’s physiological state, and the adaptation of the rehabilitation therapy for an optimal service.
[Abstract + References] Evaluation of an Upper-Limb Rehabilitation Robotic Device for Home Use from Patient Perspective
This paper presents a user study to evaluate the system’s performance by measuring objective indicators and subjective perception between the two versions of a planar rehabilitation robotic device: (i) PupArm system, called RoboTherapist 2D system for commercial purpose, designed and developed for clinical settings; and (ii) Homerehab system, developed for home use. Homerehab system is a home rehabilitation robotic platform developed inside the EU HOMEREHAB-Echord++ project framework. Nine patients with different neurological disorders participate in the study. Based on the analysis of subjective assessments of usability and the data acquired objectively by the robotic devices, we can conclude that the performance and user experience with both systems are very similar. This finding will be the base of more extensively studies to demonstrate that home-therapy with HomeRehab could be as efficient as therapy in clinical settings assisted by PupArm robot.
This work has been supported by the European Commission through the project HOMEREHAB: “Development of Robotic Technology for Post-Stroke Home Tele-Rehabilitation – Echord++” (Grant agreement: 601116); by the AURORA project (DPI2015-70415-C2-2-R), which is funded by the Spanish Ministry of Economy and Competitiveness and by the European Union through the European Regional Development Fund (ERDF), “A way to build Europe” and by Conselleria d’Educació, Cultura i Esport of Generalitat Valenciana through the grant APOTIP/2017/001.
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Robotic and sensor-based neurologic rehabilitation for the upper limb is an established concept for motor learning and is recommended in many national guidelines. The complexity of the human hands and arms and the different activities of daily living are leading to an approach in which robotic and sensor-based devices are used in combination to fulfill the multiple requirements of this intervention.
A multidisciplinary team of the Fondazione Don Carlo Gnocchi (FDG), an Italian nonprofit foundation, which spans across the entire Italian territory with 28 rehabilitation centers, developed a strategy for the implementation of robotic rehabilitation within the FDG centers. Using an ad hoc form developed by the team, 4 robotic and sensor-based devices were identified among the robotic therapy devices commercially available to treat the upper limb in a more comprehensive way (from the shoulder to the hand). Encouraging results from a pilot study, which compared this robotic approach with a conventional treatment, led to the deployment of the same set of robotic devices in 8 other FDG centers to start a multicenter randomized controlled trial. Efficiency and economic factors are just as important as clinical outcome.
The comparison showed that robotic group therapy costs less than half per session in Germany than standard individual arm therapy with equivalent outcomes. To ensure access to high-quality therapy to the largest possible patient group and lower health care costs, robot-assisted group training is a likely option.