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The purpose of this paper is to present the static and dynamic characteristics of the rehabilitation joint.

The rehabilitation joint is driven by pneumatic muscle actuators (PMAs). Rehabilitation robot is normally composed of several rehabilitation joints. The static and dynamic characteristics of the rehabilitation joint are important for control of the rehabilitation robot. Analysis and modeling of the rehabilitation joint is based on experiments.

The static model of the PMA is obtained by the method of curve fitting and achieved better precision compared to the existing representative models. A second‐order model fits the dynamic characteristic of the rehabilitation joint better than a first order one.

The rehabilitation joint and the patient's joint combine to make an independent system, and the unstable factors of the patient's joint make it difficult in precisely modeling the rehabilitation joint.

The characteristics of the rehabilitation joint are all based on the data that were recorded in a series of with experiments, the same with modeling of the rehabilitation joint.

The continued expansion of the intermediate care initiative has resulted in the use of alternative care settings, such as nursing and care homes, for the delivery of rehabilitative interventions for older people. In this paper, we report on the findings from the second stage of a national survey of rehabilitation schemes that use care home settings. The survey reveals a wide range of approaches and standards, leading us to ask whether there is a gap between policy goals, good practice and actual service provision. The care home rehabilitation schemes were selected on the basis that they offered, as a minimum, rehabilitation to improve an older person's physical status.

This chapter explores how hybrid organizations navigate the challenges (and opportunities) associated with advancing unconventional logic combinations. It draws from a study of the 180-year history of sheltered workshops in the United States. Sheltered workshops are hybrids that combine social and commercial logics to provide gainful employment to individuals with disabilities. This chapter theorizes a connection between the governance system – that is, country-based social norms and regulatory settlements – framing hybrids and the agency that allows them the discretion required to advance unconventional combinations. It introduces the term hybrid agency to describe this connection and identifies four types: upstream, midstream, downstream, and crosscurrent. Upstream agency draws from the entrepreneurial vision of charismatic founders. It allows hybrids the discretion to advance unconventional logic combinations in unsupportive times, but it also requires them to observe certain dominant cultural norms. Midstream agency draws from hybrids’ adaptation and advocacy skills and resources in periods of historical change. It allows access to resources and legitimacy for unconventional combinations. Downstream agency draws from organizational slack possible in supportive times. Slack eases tensions and tradeoffs between conflicting logics but may also fuel mission drift. Finally, crosscurrent agency also draws from hybrids’ adaptation and advocacy skills and resources. It provides hybrids with the opportunity to grapple with challenges in periods of contestation.

Contemporary categorizations of western-style welfare states distinguish a particular pattern of organizing social security mainly found in Scandinavian countries, and sometimes labeled as a “social democratic welfare regime.” This is characterized by general access of the population to a social security system organized and administered by public authorities. This categorization is widely acknowledged, but the Scandinavian “social democratic” model is rarely ever analyzed in detail.

While most health services are provided by public actors, it is often overlooked that health services in Scandinavian countries in certain fields are delivered to a substantial part by private actors. In Norwegian rehabilitation specialist health care, these private actors stand for more than 30% of all service delivery.

Based on a content analysis of publications of the Norwegian Ministry of Health and Care Services we look into the relation between public and private actors in rehabilitation and relate our findings to classifications of Scandinavian welfare states into an institutional, social democratic model.

The Vocational Rehabilitation (VR) Service System was created in 1973 in the United States as a way to help people with disabilities access necessary supports and services to return to work and live independently. The program receives federal funds and operates in all 50 states and territories. The program is designed to allow consumers to develop a rehabilitation plan in collaboration with a VR counselor and receive necessary services and supports in order to meet their rehabilitation goals. Unfortunately, there are serious issues with access to services and rehabilitation success for minority individuals in the program, particularly African Americans. The chapter will first provide a brief overview of the Rehabilitation Act and its purpose, then we will introduce some of the research that has been conducted to evaluate the program over the years, with particular emphasis on the outcomes for African Americans, and then will focus on a series of studies that have been conducted by the authors in the state of Illinois. The chapter will conclude with some suggestions about ways in which the system could be improved and ways to empower African Americans in pursue of their rehabilitation and independent living goals, including peer-support and supported employment.

This paper aims to explore and review the potential of robotic rehabilitation as a treatment approach for Alzheimer’s disease (AD) and its impact on the health and quality of life of AD patients.

The present discourse endeavors to provide a comprehensive overview of extant scholarly inquiries that have examined the salience of inhibitory mechanisms vis-à-vis robotic interventions and their impact on patients with AD. Specifically, this review aims to explicate the contemporary state of affairs in this realm by furnishing a detailed explication of ongoing research endeavors. With the objective of elucidating the significance of inhibitory processes in robotic therapies for individuals with AD, this analysis offers a critical appraisal of extant literature that probes the intersection of cognitive mechanisms and assistive technologies. Through a meticulous analysis of diverse scholarly contributions, this review advances a nuanced understanding of the intricate interplay between inhibitory processes and robotic interventions in the context of AD.

According to the review papers, it appears that implementing robot-assisted rehabilitation can serve as a pragmatic and effective solution for enhancing the well-being and overall quality of life of patients and families engaged with AD. Besides, this new feature in the robotic area is anticipated to have a critical role in the success of this innovative approach.

Due to the nascent nature of this cutting-edge technology and the constrained configuration of the mechanized entity in question, further protracted analysis is imperative to ascertain the advantages and drawbacks of robotic rehabilitation vis-à-vis individuals afflicted with Alzheimer’s ailment.

The potential for robots to serve as indispensable assets in the provision of care for individuals afflicted with AD is significant; however, their efficacy and appropriateness for utilization by caregivers of AD patients must be subjected to further rigorous scrutiny.

This paper reviews the current robotic method and compares the current state of the art for the AD patient.

To improve the position tracking efficiency of the upper-limb rehabilitation robot for stroke hemiplegia patients, the optimization Learning rate of the membership function based on the fuzzy impedance controller of the rehabilitation robot is propose.

First, the impaired limb’s damping and stiffness parameters for evaluating its physical recovery condition are online estimated by using weighted least squares method based on recursive algorithm. Second, the fuzzy impedance control with the rule has been designed with the optimal impedance parameters. Finally, the membership function learning rate online optimization strategy based on Takagi-Sugeno (TS) fuzzy impedance model was proposed to improve the position tracking speed of fuzzy impedance control.

This method provides a solution for improving the membership function learning rate of the fuzzy impedance controller of the upper limb rehabilitation robot. Compared with traditional TS fuzzy impedance controller in position control, the improved TS fuzzy impedance controller has reduced the overshoot stability time by 0.025 s, and the position error caused by simulating the thrust interference of the impaired limb has been reduced by 8.4%. This fact is verified by simulation and test.

The TS fuzzy impedance controller based on membership function online optimization learning strategy can effectively optimize control parameters and improve the position tracking speed of upper limb rehabilitation robots. This controller improves the auxiliary rehabilitation efficiency of the upper limb rehabilitation robot and ensures the stability of auxiliary rehabilitation training.

The purpose of this study is to assess if the new community-enhanced rehabilitation team reduced anxiety and readmissions in service users discharged from an inpatient rehabilitation setting.

The study used both qualitative and quantitative methodology. Service user’s anxiety level was measured before being discharged and at the end of the Community Enhanced Rehabilitation Team (CERT) transition intervention. Six service users were interviewed to gain further understanding of their experiences of anxiety.

Findings showed the anxiety score was significantly lower (M = 1.5, 95% CI [0.051,2.99], t(20) = 2.159, p = 0.043) following the CERT intervention (M = 8.6, SD = 6.4) compared to before (M = 10.1, SD = 7.0). No service user receiving the CERT intervention was readmitted to hospital within 12 weeks of discharge from the inpatient setting, compared to three service users (15% of those discharged) who were discharged to other community services.

Community rehabilitation pathways would benefit from having interventions to aid patient transitions from inpatient to the community. The National Health Service (NHS) trusts develop community rehabilitation teams as recommended by the National Institute for Health and Care Excellence (NICE), and they should consider including transitional support as part of their model.

It is recommended that as NHS trusts design and implement community mental health teams, they should consider including transition support as part of their model.

People with severe and enduring mental health difficulties who have been in an inpatient rehabilitation setting would benefit from community transitional support. This study suggests that such support helps reduce anxiety and readmission.

Community rehabilitation teams are currently being developed across the NHS as part of the NHS long-term plan. These teams are new, and as such, there is a dearth of information regarding their effectiveness. To the best of the authors’ knowledge, this is one of the first studies to evaluate outcomes in these new teams.

The purpose of this review paper is to address the substantial challenges of the outdated exoskeletons used for rehabilitation and further study the current advancements in this field. The shortcomings and technological developments in sensing the input signals to enable the desired motions, actuation, control and training methods are explained for further improvements in exoskeleton research.

Search platforms such as Web of Science, IEEE, Scopus and PubMed were used to collect the literature. The total number of recent articles referred to in this review paper with relevant keywords is filtered to 143.

Exoskeletons are getting smarter often with the integration of various modern tools to enhance the effectiveness of rehabilitation. The recent applications of bio signal sensing for rehabilitation to perform user-desired actions promote the development of independent exoskeleton systems. The modern concepts of artificial intelligence and machine learning enable the implementation of brain–computer interfacing (BCI) and hybrid BCIs in exoskeletons. Likewise, novel actuation techniques are necessary to overcome the significant challenges seen in conventional exoskeletons, such as the high-power requirements, poor back drivability, bulkiness and low energy efficiency. Implementation of suitable controller algorithms facilitates the instantaneous correction of actuation signals for all joints to obtain the desired motion. Furthermore, applying the traditional rehabilitation training methods is monotonous and exhausting for the user and the trainer. The incorporation of games, virtual reality (VR) and augmented reality (AR) technologies in exoskeletons has made rehabilitation training far more effective in recent times. The combination of electroencephalogram and electromyography-based hybrid BCI is desirable for signal sensing and controlling the exoskeletons based on user intentions. The challenges faced with actuation can be resolved by developing advanced power sources with minimal size and weight, easy portability, lower cost and good energy storage capacity. Implementation of novel smart materials enables a colossal scope for actuation in future exoskeleton developments. Improved versions of sliding mode control reported in the literature are suitable for robust control of nonlinear exoskeleton models. Optimizing the controller parameters with the help of evolutionary algorithms is also an effective method for exoskeleton control. The experiments using VR/AR and games for rehabilitation training yielded promising results as the performance of patients improved substantially.

Robotic exoskeleton-based rehabilitation will help to reduce the fatigue of physiotherapists. Repeated and intention-based exercise will improve the recovery of the affected part at a faster pace. Improved rehabilitation training methods like VR/AR-based technologies help in motivating the subject.

The paper describes the recent methods for signal sensing, actuation, control and rehabilitation training approaches used in developing exoskeletons. All these areas are key elements in an exoskeleton where the review papers are published very limitedly. Therefore, this paper will stand as a guide for the researchers working in this domain.