Effectiveness of Technology-Based Distance Physical Rehabilitation Interventions for Improving Physical Functioning in Stroke : A Systematic Review and Meta-analysis of Randomized Controlled Trials

Objective: To study the effectiveness of technology-based distance physical rehabilitation interventions on physical functioning in stroke. Data Sources: A systematic literature search was conducted in 6 databases from January 2000 to May 2018. Study Selection: Inclusion criteria applied the patient, intervention, comparison, outcome, study design framework as follows: (P) stroke; (I) technology-based distance physical rehabilitation interventions; (C) any comparison without the use of technology; (0) physical functioning; (S) randomized controlled trials (RCTs). The search identified in total 693 studies, and the screening of 162 full-text studies revealed 13 eligible studies. Data Extraction: The studies were screened using the Preferred Reporting Items for Systematic Reviews and Meta-analysis guidelines and assessed for methodological quality and quality of evidence. Meta-analysis was performed if applicable. Data Synthesis: A total of 13 studies were included, and online video monitoring was the most used technology. Seven outcomes of physical functioning were identified-activities of daily living (ADL), upper extremity functioning, lower extremity functioning, balance, walking, physical activity, and participation. A meta-analysis of 6 RCTs indicated that technology-based distance physical rehabilitation had a similar effect on ADL (standard mean difference 0.06; 95% confidence interval: -0.22 to 0.35, P=.67) compared to the combination of traditional treatments (usual care, similar and other treatment). Similar results were obtained for other outcomes, except inconsistent findings were noted for walking. Methodological quality of the studies and quality of evidence were considered low. Conclusions: The findings suggest that the effectiveness of technology-based distance physical rehabilitation interventions on physical functioning might be similar compared to traditional treatments in stroke. Further research should be performed to confirm the effectiveness of technology-based distance physical rehabilitation interventions for improving physical functioning of persons with stroke. (C) 2018 by the American Congress of Rehabilitation MedicinePeer reviewe

Home-based rehabilitation of the shoulder using auxiliary systems and artificial intelligence: an overview

Advancements in modern medicine have bolstered the usage of home-based rehabilitation services for patients, particularly those recovering from diseases or conditions that necessitate a structured rehabilitation process. Understanding the technological factors that can influence the efficacy of home-based rehabilitation is crucial for optimizing patient outcomes. As technologies continue to evolve rapidly, it is imperative to document the current state of the art and elucidate the key features of the hardware and software employed in these rehabilitation systems. This narrative review aims to provide a summary of the modern technological trends and advancements in home-based shoulder rehabilitation scenarios. It specifically focuses on wearable devices, robots, exoskeletons, machine learning, virtual and augmented reality, and serious games. Through an in-depth analysis of existing literature and research, this review presents the state of the art in home-based rehabilitation systems, highlighting their strengths and limitations. Furthermore, this review proposes hypotheses and potential directions for future upgrades and enhancements in these technologies. By exploring the integration of these technologies into home-based rehabilitation, this review aims to shed light on the current landscape and offer insights into the future possibilities for improving patient outcomes and optimizing the effectiveness of home-based rehabilitation programs.info:eu-repo/semantics/publishedVersio

Supporting sit-to-stand rehabilitation using smartphone sensors and arduino haptic feedback modules

The aim of this project is to design and build a system to aid patients in their rehabilitation after suffering a stroke. A stroke is one of the most serious conditions that an individual can suffer from, and the rehabilitation is often a long and difficult process. For many with movement effects, the sit-to-stand exercise is an important step in rehabilitation. The focus of this ongoing project is to create a system to assist sit-to-stand rehabilitation through the use of haptic feedback on balance. In this poster we present our initial prototype using standard smartphone accelerometers linked wirelessly to Arduino based vibration feedback modules mounted on the patients' legs. Initial feedback on the prototype is promising

Hand Rehabilitation and Telemonitoring through Smart Toys

We describe here a platform for autonomous hand rehabilitation and telemonitoring of young patients. A toy embedding the electronics required to sense fingers pressure in different grasping modalities is the core element of this platform. The system has been realized following the user-centered design methodology taking into account stakeholder needs from start: clinicians require reliable measurements and the ability to get a picture remotely on rehabilitation progression; children have asked to interact with a pleasant and comfortable object that is easy to use, safe, and rewarding. These requirements are not antithetic, and considering both since the design phase has allowed the realization of a platform reliable to clinicians and keen to be used by young children

A conceptual approach to enhance the well-being of elderly people

The number of elderly people living alone is increasing. Consequently, a lot of research works have been addressing this issue in order to propose solutions that can enhance the quality of life of elderly people. Most of them have been concerned in dealing with objective issues such as forgetfulness or detecting falls. In this paper, we propose a conceptual approach of a system that intends to enhance the daily sense of user’s well-being. For that, our proposal consists in a system that works as a social network and a smartwatch application that works unobtrusively and collects the user’s physiological data. In addition, we debate how important features such as to detect user’s affective states and to potentiate user’s memory could be implemented. Our study shows that there are still some important limitations which affect the success of applications built in the context of elderly care and which are mostly related with accuracy and usability of this kind of system. However, we believe that with our approach we will be able to address some of those limitations and define a system that can enhance the well-being of elderly people and improve their cognitive capabilities.The work presented in this paper has been developed under the EUREKA - ITEA3 Project PHE (PHE-16040), and by National Funds through FCT (Fundação para a Ciência e a Tecnologia) under the projects UID/EEA/00760/2019 and UID/CEC/00319/2019 and by NORTE-01-0247-FEDER-033275 (AIRDOC - “Aplicação móvel Inteligente para suporte individualizado e monitorização da função e sons Respiratórios de Doentes Obstrutivos Crónicos ”) by NORTE 2020 (Programa Operacional Regional do Norte)

Gamified Music Learning System with VR Force Feedback for Rehabilitation

Many conditions cause loss of coordination and motor capabilities in the extremities. One such condition is stroke, which affects approximately 15 million people worldwide each year. [1] Many robotic systems have been developed to assist in the physical and neurological rehabilitation of patients who have suffered a stroke. As a result of this project an actuator to be used for hand rehabilitation using visual processing and Bowden cables was designed. This project aims to use the design of the actuator combined with gamification elements to create an interface to be used in future robotic rehabilitation systems as well as address the compliance problem found in rehabilitation

MaLT - combined motor and language therapy tool for brain injury patients using Kinect

Background: The functional connectivity and structural proximity of elements of the language and motor systems result in frequent co-morbidity post brain injury. Although rehabilitation services are becoming increasingly multidisciplinary and "integrated", treatment for language and motor functions often occurs in isolation. Thus, behavioural therapies which promote neural reorganisation do not reflect the high intersystem connectivity of the neurologically intact brain. As such, there is a pressing need for rehabilitation tools which better reflect and target the impaired cognitive networks. Objectives: The objective of this research is to develop a combined high dosage therapy tool for language and motor rehabilitation. The rehabilitation therapy tool developed, MaLT (Motor and Language Therapy), comprises a suite of computer games targeting both language and motor therapy that use the Kinect sensor as an interaction device. The games developed are intended for use in the home environment over prolonged periods of time. In order to track patients' engagement with the games and their rehabilitation progress, the game records patient performance data for the therapist to interrogate. Methods: MaLT incorporates Kinect-based games, a database of objects and language parameters, and a reporting tool for therapists. Games have been developed that target four major language therapy tasks involving single word comprehension, initial phoneme identification, rhyme identification and a naming task. These tasks have 8 levels each increasing in difficulty. A database of 750 objects is used to programmatically generate appropriate questions for the game, providing both targeted therapy and unique gameplay every time. The design of the games has been informed by therapists and by discussions with a Public Patient Involvement (PPI) group. Results: Pilot MaLT trials have been conducted with three stroke survivors for the duration of 6 to 8 weeks. Patients' performance is monitored through MaLT's reporting facility presented as graphs plotted from patient game data. Performance indicators include reaction time, accuracy, number of incorrect responses and hand use. The resultant games have also been tested by the PPI with a positive response and further suggestions for future modifications made. Conclusion: MaLT provides a tool that innovatively combines motor and language therapy for high dosage rehabilitation in the home. It has demonstrated that motion sensor technology can be successfully combined with a language therapy task to target both upper limb and linguistic impairment in patients following brain injury. The initial studies on stroke survivors have demonstrated that the combined therapy approach is viable and the outputs of this study will inform planned larger scale future trials

Gamified Music Learning System with VR Force Feedback for

Many conditions cause loss of coordination and motor capabilities in the extremities. One such condition is stroke, which affects approximately 15 million people worldwide each year. Many robotic systems have been developed to assist in the physical and neurological rehabilitation of patients who have suffered a stroke. As a result of this project an actuator, to be used for hand rehabilitation, by means of visual processing and Bowden cables, was designed. This project aims to use the design of the actuator combined with gamification elements to create an interface to be used in future robotic rehabilitation systems as well as address the compliance problem found in rehabilitation

Smart phone based virtual reality as tool for physical therapy

This thesis explores the advantages and challenges of using a phone-based virtual reality solution when creating a system intended for the therapy of patients with non-specific chronic neck pain. It also explores the suitability of popular design principles of the Human-Computer Interaction as specifically applied to the field of smartphone-based VR using a cardboard head mount display. Besides, it also explores what gamification techniques are suitable for VR assisted treatment. To answer these questions a high-fidelity prototype, the Virtual Neck Application (VNA), was produced over five iterations utilizing the user-centered design method and within the framework of the design science research methodology.Masteroppgave i informasjonsvitenskapINFO390MASV-IKTMASV-INF