The Design and Development of a Prototype Neuro-rehabilitation Device for Robot Assisted Hand Therapy Following Stroke

The Design and Development of a Prototype Neuro-rehabilitation Device for Robot Assisted Hand Therapy Following Stroke PDF Author: Matthew B. Wagner
Publisher:
ISBN:
Category :
Languages : en
Pages : 210

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The Design and Development of a Prototype Neuro-rehabilitation Device for Robot Assisted Hand Therapy Following Stroke

The Design and Development of a Prototype Neuro-rehabilitation Device for Robot Assisted Hand Therapy Following Stroke PDF Author: Matthew B. Wagner
Publisher:
ISBN:
Category :
Languages : en
Pages : 210

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Rehabilitation Robotics

Rehabilitation Robotics PDF Author: Roberto Colombo
Publisher: Academic Press
ISBN: 0128119969
Category : Technology & Engineering
Languages : en
Pages : 384

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Book Description
Rehabilitation Robotics gives an introduction and overview of all areas of rehabilitation robotics, perfect for anyone new to the field. It also summarizes available robot technologies and their application to different pathologies for skilled researchers and clinicians. The editors have been involved in the development and application of robotic devices for neurorehabilitation for more than 15 years. This experience using several commercial devices for robotic rehabilitation has enabled them to develop the know-how and expertise necessary to guide those seeking comprehensive understanding of this topic. Each chapter is written by an expert in the respective field, pulling in perspectives from both engineers and clinicians to present a multi-disciplinary view. The book targets the implementation of efficient robot strategies to facilitate the re-acquisition of motor skills. This technology incorporates the outcomes of behavioral studies on motor learning and its neural correlates into the design, implementation and validation of robot agents that behave as ‘optimal’ trainers, efficiently exploiting the structure and plasticity of the human sensorimotor systems. In this context, human-robot interaction plays a paramount role, at both the physical and cognitive level, toward achieving a symbiotic interaction where the human body and the robot can benefit from each other’s dynamics. Provides a comprehensive review of recent developments in the area of rehabilitation robotics Includes information on both therapeutic and assistive robots Focuses on the state-of-the-art and representative advancements in the design, control, analysis, implementation and validation of rehabilitation robotic systems

Design of the Rehabilitation Glove

Design of the Rehabilitation Glove PDF Author: Sylvain Hosatte
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

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Book Description
Stroke is the major cause of disability in the world today, and it touches up to 110 000 persons every year, only in UK, and up to 70% of the survivors of a stroke suffer from a moderate to severe disabilities in their upper-limb motion control, caused by damages in the cerebral motor areas. The recovery of post-stroke impairments is a hard and long treatment, because the patient has to recover his physical strength and functionalities, but he also needs his affected neural area to reorganise, in order to make significant progresses. The rehabilitation techniques are many and all of them have their pros and cons, but the physiotherapists have more and more troubles in handling the growing number of patients. Indeed the majority of the patients suffering from a stroke are aged over 60, and the global ageing of the population implies an increase of those disabled people, creating a work load and a cost too great for the conventional rehabilitation techniques. The aim of this project is to investigate upper-limb rehabilitation techniques and in particular robot-assisted rehabilitation, to find out what could solve this major issue. The existing devices will be reviewed and robotic rehabilitation devices pointed as a solution for future post stroke recovery therapy. The concept of a soft robotic glove for hand rehabilitation, coupling a flexible structure with a cable-driven actuation will then be developed, and the methods of design of a prototype will be followed. Both the mechanical coupling between the hand and the glove, using vacuum and suctions cups, and the control interface of the prototype will be developed. Finally, despite the only partial achievement of the prototype, future prospective and use for this device will be discussed, concluding on the promising results obtained.

Rehabilitation Robotics: Challenges in Design, Control, and Real Applications

Rehabilitation Robotics: Challenges in Design, Control, and Real Applications PDF Author: Francisco Romero Sánchez
Publisher: Frontiers Media SA
ISBN: 2889768813
Category : Science
Languages : en
Pages : 229

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Advances in Rehabilitation Robotics

Advances in Rehabilitation Robotics PDF Author: Z. Zenn Bien
Publisher: Springer Science & Business
ISBN: 9783540219866
Category : Technology & Engineering
Languages : en
Pages : 480

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Book Description
One of the major application targets of service robots is to use them as assistive devices for rehabilitation. This book introduces some latest achievements in the field of rehabilitation robotics and assistive technology for people with disabilities and aged people. The book contains results from both theoretical and experimental works and reviews on some new advanced rehabilitation devices which has been recently transferred to the industry. Significant parts of the book are devoted to the assessment of new rehabilitation technologies, the evaluation of prototype devices with end-users, the safety of rehabilitation robots, and robot-assisted neurorehabilitation. The book is a representative selection of the latest trends in rehabilitation robotics and can be used as a reference for teaching on mechatronic devices for rehabilitation.

Wearable Robotics

Wearable Robotics PDF Author: Jacob Rosen
Publisher: Academic Press
ISBN: 0128146605
Category : Science
Languages : en
Pages : 551

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Book Description
Wearable Robotics: Systems and Applications provides a comprehensive overview of the entire field of wearable robotics, including active orthotics (exoskeleton) and active prosthetics for the upper and lower limb and full body. In its two major sections, wearable robotics systems are described from both engineering perspectives and their application in medicine and industry. Systems and applications at various levels of the development cycle are presented, including those that are still under active research and development, systems that are under preliminary or full clinical trials, and those in commercialized products. This book is a great resource for anyone working in this field, including researchers, industry professionals and those who want to use it as a teaching mechanism. Provides a comprehensive overview of the entire field, with both engineering and medical perspectives Helps readers quickly and efficiently design and develop wearable robotics for healthcare applications

Robotics, Autonomous Systems and AI for Nonurgent/Nonemergent Healthcare Delivery During and After the COVID-19 Pandemic

Robotics, Autonomous Systems and AI for Nonurgent/Nonemergent Healthcare Delivery During and After the COVID-19 Pandemic PDF Author: Mahdi Tavakoli
Publisher: Frontiers Media SA
ISBN: 2889764737
Category : Science
Languages : en
Pages : 429

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Development of an Upper Limb Robotic Device for Stroke Rehabilitation

Development of an Upper Limb Robotic Device for Stroke Rehabilitation PDF Author: Elaine Chen Lu
Publisher:
ISBN: 9780494768389
Category :
Languages : en
Pages :

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Brain Computer Interface Design for Robot Assisted Neurorehabilitation

Brain Computer Interface Design for Robot Assisted Neurorehabilitation PDF Author: Sumner Lee Norman
Publisher:
ISBN: 9780355311051
Category :
Languages : en
Pages : 162

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Book Description
Stroke is the number one cause of movement disability in the world. In recent years, robotic assistance has empowered people with stroke to complete intensive movement therapy in motivating environments, thus matching or bettering the motor recovery attainable with traditional therapy. Yet, motor deficits remain stubbornly persistent, especially for those with severe impairments.Brain-computer interfaces (BCI) are a technology that can facilitate direct communication between the brain and an external device. BCIs have already been used to control robotic prostheses to replace lost function. The premise of this dissertation is that, with the right tools and knowledge, BCIs could also help restore function to those with movement disability after a neurologic injury. In this dissertation, I investigate use of a BCI to help individuals with a stroke shape their brain activity while moving the fingers with assistance from a robotic orthosis, with the goal of guiding activity-dependent plasticity in the brain to drive motor recovery. The working hypothesis is that appropriately shaping brain activity will improve finger movement ability and provide a therapeutic benefit after stroke.First, I present a computational model of motor learning that uses a neural network to simulate the motor cortex after a stroke and during subsequent finger force recovery. These simulations suggested that BCI-based interventions should target perilesional motor areas, thus restoring normative network recruitment during finger movement, and that targeted training should make up about 20% of total limb use to maximize recovery.In a study of unimpaired people completing a robot-assisted movement task, I identified a key confound of BCI-contingent robot-assisted therapy, showing that robot assistance can affect the BCI even when the participant is passive, which may hinder motor learning. I also present a potential design approach for both the robot and the BCI to avoid this confound.I then explore BCI methodological considerations in two experiments with impaired and unimpaired people moving in a robot-assisted environment. Key results included that bipolar EEG recordings and finger extension movements led to the best models correlating brain state with ensuing movement and are thus most conducive to BCI-based training.The culmination of this work is the design of a BCI-robot rehabilitation paradigm, which I tested in a study with eight people with severe impairment after a chronic stroke. Participants participated in four weeks of a therapy protocol that determined the effect of BCI-based sensorimotor rhythm control on finger extension performance. Here, we found that BCI training can improve subsequent movement performance -- a result never before found for individuals with a stroke. The training also produced therapeutic benefits, indicating its viability as a future rehabilitation intervention. Finally, looking to the future of BCI-robot therapy, I present low-cost alternatives for BCI signal acquisition and wearable robotic devices.

Wearable Rehabilitation Robotics for Upper Limb Stroke Recovery and Examining Electrophysiological Response

Wearable Rehabilitation Robotics for Upper Limb Stroke Recovery and Examining Electrophysiological Response PDF Author: Melissa Sandison
Publisher:
ISBN:
Category : Cerebrovascular disease
Languages : en
Pages : 92

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Book Description
Stroke is the leading cause of severe long-term disability worldwide. A commonly reported disability is hemiparesis. Impairments of the upper limb inhibit the individual's ability to perform activities of daily living; High-dose repetitive practice of functional tasks is important for recovery after stroke. This type of training is labor-intensive.Additionally, many stroke patients cannot complete traditional physical therapy due to the severity of their motor impairments. Robotics offers an alternative approach whereby assistance is provided via forces applied to the limb, allowing high dose and repetitive completion of movements that would otherwise be impossible to complete unassisted. However, even with the standardized rehabilitation programs that stakeholders implemented with robotic therapy, patients demonstrate variance in response to treatment due to the heterogeneous damage to the brain during the stroke. Subsequently, three studies investigated wearable robotics for stroke upper limb rehabilitation and the neural mechanisms of upper limb control and recovery. For the first study, 12 chronic stroke patients completed 8 weeks of at-home rehabilitation using a novel exoskeleton wearable robotic hand device that assisted with the opening of the hand-this enabled performance of therapeutic functional exercises. I examined the neural response to recovery using the neuroimaging technique electroencephalography. The study identified patients with the greatest operational hand improvements had the largest increase in interhemispheric sensorimotor communication. Additionally, neural biomarkers that could predict a patient's response to robotic therapy were identified. I performed biomechanic analysis using 3d motion capture and clinical evaluations without the device pre, post, and 3 months after completion of the study, which showed the novel device restored hand function. The second study saw the development of a new wearable robotic hand device that assists users with opening and closing motions. Additionally, an integrated Android app was developed, which could be used with the automated machine. The app has therapeutic video games and exercises to complement robotic therapy. The study gives a detailed evaluation of the mechanical and control system of the automated device and the responses of persons with the stroke that used the device. To better understand the neural process of upper limb recovery, the final study explored the neural pathways involved in grip force modulation and how robotics that offers upper limb gravity compensation alters the corticospinal path and neural activation. The studies show home-based robotic devices that can induce improvements in hand function after stroke and are well received by persons with stroke. Electroencephalography can be used to track the brain's plasticity during rehabilitation, identify biomarkers that predict response to therapy, and determine the influence of gravity compensation robotic devices on the corticospinal pathway. These findings may be of relevance for optimizing the design of rehabilitation robotics and neurorehabilitation programs.