Application of immersive virtual reality mirror therapy for upper limb rehabilitation after stroke: a scoping review.

Mirror therapy is a commonly used rehabilitation intervention in post stroke upper limb rehabilitation. Despite many potential technological developments, mirror therapy is routinely delivered through the use of a static mirror or mirror box. This review aims to synthesise evidence on the application of immersive virtual reality mirror therapy (IVRMT) in poststroke upper limb rehabilitation. A scoping review was performed on relevant English studies published between 2013 to 2023. Literature search was undertaken on APA PsycInfo, CINAHL, Cochrane Library, MEDLINE, PubMed and Web of Science between August 5 and 17, 2023. Additional studies were included from Google Scholar and reference lists of identified articles. A total of 224 records were identified, of which 8 full-text articles were selected for review. All included studies were published between 2019 and 2023, and from high- and upper-middle-income nations. All the studies were experimental (n = 8). The total sample size in the studies was 259, most of whom were stroke patients with upper limb weakness (n = 184). This review identified three major themes and two sub-themes based on the contents of the studies conducted on the application of IVRMT: IVRMT's technical application, feasibility and impact on clinical outcomes (motor recovery and adverse events). IVRMT was concluded to be a safe and feasible approach to post-stroke upper limb rehabilitation, offering enhanced engagement and motor recovery. However, more methodologically robust studies should be conducted to advance this area of practice, and to include a uniform IVRMT intervention protocol, dose, and use of outcome measure.

Error Enhancement for Upper Limb Rehabilitation in the Chronic Phase after Stroke: A 5-Day Pre-Post Intervention Study.

A large proportion of chronic stroke survivors still struggle with upper limb (UL) problems in daily activities, typically reaching tasks. During three-dimensional reaching movements, the deXtreme robot offers error enhancement forces. Error enhancement aims to improve the quality of movement. We investigated clinical and patient-reported outcomes and assessed the quality of movement before and after a 5 h error enhancement training with the deXtreme robot. This pilot study had a pre-post intervention design, recruiting 22 patients (mean age: 57 years, mean days post-stroke: 1571, male/female: 12/10) in the chronic phase post-stroke with UL motor impairments. Patients received 1 h robot treatment for five days and were assessed at baseline and after training, collecting (1) clinical, (2) patient-reported, and (3) kinematic (KINARM, BKIN Technologies Ltd., Kingston, ON, Canada) outcome measures. Our analysis revealed significant improvements (median improvement (Q1-Q3)) in (1) UL Fugl-Meyer assessment (1.0 (0.8-3.0), p < 0.001) and action research arm test (2.0 (0.8-2.0), p < 0.001); (2) motor activity log, amount of use (0.1 (0.0-0.3), p < 0.001) and quality of use (0.1 (0.1-0.5), p < 0.001) subscale; (3) KINARM-evaluated position sense (-0.45 (-0.81-0.09), p = 0.030) after training. These findings provide insight into clinical self-reported and kinematic improvements in UL functioning after five hours of error enhancement UL training.

Development and Performance Evaluation of a Smart Upper-Limb Rehabilitation Exercise Device.

User-friendly rehabilitation medical devices can enhance health and the quality of life through the convergence of information communication and medical technology. Muscle contraction enables bodily movement, and the assessment of muscle strength is crucial. Muscle contraction includes isometric, isotonic, and isokinetic types. Many individuals with physical disabilities rely on wheelchairs due to lower-limb paralysis. There is a substantial correlation between the level of upper-limb functional recovery and the quality of daily life. This study aimed to design and evaluate a device that utilizes various muscle contractions to enhance the effectiveness of upper-limb rehabilitation exercises. The results from the isometric performance assessment showed percentage error rates of >30% for 5-30 kg. Correction equations were employed, and the isometric performance assessment resulted in error rates below 2.1% for 5-30 kg. Isokinetic performance assessment using video analysis evaluated a consistent wire speed from 10 cm/s to 70 cm/s with an average error rate of 0.91% across all speeds. This study demonstrates the ability to accurately measure various muscle contractions and showcases the potential for real-time feedback. This highlights how such a device could be helpful for target groups, including older adults and individuals with disabilities, during upper-limb rehabilitation exercises.

Patient's Healthy-Limb Motion Characteristic-Based Assist-As-Needed Control Strategy for Upper-Limb Rehabilitation Robots.

The implementation of a progressive rehabilitation training model to promote patients' motivation efforts can greatly restore damaged central nervous system function in patients. Patients' active engagement can be effectively stimulated by assist-as-needed (AAN) robot rehabilitation training. However, its application in robotic therapy has been hindered by a simple determination method of robot-assisted torque which focuses on the evaluation of only the affected limb's movement ability. Moreover, the expected effect of assistance depends on the designer and deviates from the patient's expectations, and its applicability to different patients is deficient. In this study, we propose a control method with personalized treatment features based on the idea of estimating and mapping the stiffness of the patient's healthy limb. This control method comprises an interactive control module in the task-oriented space based on the quantitative evaluation of motion needs and an inner-loop position control module for the pneumatic swing cylinder in the joint space. An upper-limb endpoint stiffness estimation model was constructed, and a parameter identification algorithm was designed. The upper limb endpoint stiffness which characterizes the patient's ability to complete training movements was obtained by collecting surface electromyographic (sEMG) signals and human-robot interaction forces during patient movement. Then, the motor needs of the affected limb when completing the same movement were quantified based on the performance of the healthy limb. A stiffness-mapping algorithm was designed to dynamically adjust the rehabilitation training trajectory and auxiliary force of the robot based on the actual movement ability of the affected limb, achieving AAN control. Experimental studies were conducted on a self-developed pneumatic upper limb rehabilitation robot, and the results showed that the proposed AAN control method could effectively estimate the patient's movement needs and achieve progressive rehabilitation training. This rehabilitation training robot that simulates the movement characteristics of the patient's healthy limb drives the affected limb, making the intensity of the rehabilitation training task more in line with the patient's pre-morbid limb-use habits and also beneficial for the consistency of bilateral limb movements.

Feasibility and safety of interactive virtual reality upper limb rehabilitation in patients with prolonged critical illness.

OBJECTIVES: This study investigated the feasibility and safety of interactive virtual reality rehabilitation (VRR) for patients with a critical illness and a long stay in the intensive care unit (ICU), as a motivational tool for rehabilitation. DESIGN: Single-centre, non-randomised proof-of-concept clinical trial. PARTICIPANTS: Adult, calm, and alert critically ill patients with a prolonged stay (≥8 days) in the ICU. METHODS: Patients received interactive VRR therapy for upper limb rehabilitation with a VR-app designed specifically for use in bedridden patients in the supine position. Feasibility was assessed by time registrations, questionnaires for patients and physiotherapists, as well as recording of all perceived barriers. Safety was assessed by recording (changes in) vital clinical parameters, as well as minor and major adverse events. RESULTS: Twenty patients participated in 79 VRR sessions. Median durations of different session components were 2 minutes (interquartile range [IQR] = 2min, 3min) for set-up and explanation to the patient, 10 minutes (IQR = 10min, 15min) for training time, and 2 minutes (IQR = 2min, 2min) for ending the session and cleaning. The median fun score given by the patients after each session was 9 (IQR = 8, 10) out of 10. Physiotherapists reported no barriers other than a few time-consuming technical problems. Reported problems by patients were all minor and mostly technical. No major and no minor adverse events occurred. CONCLUSIONS: Interactive upper limb VRR is a feasible, safe, and appreciated tool to use in rehabilitation of critically ill patients during their prolonged ICU stay. Subsequent future studies should focus on the effects of VRR on neuromuscular and cognitive function and the socioeconomic impact of exergaming for rehabilitation purposes of ICU patients.

Customized Trajectory Optimization and Compliant Tracking Control for Passive Upper Limb Rehabilitation.

Passive rehabilitation training in the early poststroke period can promote the reshaping of the nervous system. The trajectory should integrate the physicians' experience and the patient's characteristics. And the training should have high accuracy on the premise of safety. Therefore, trajectory customization, optimization, and tracking control algorithms are conducted based on a new upper limb rehabilitation robot. First, joint friction and initial load were identified and compensated. The admittance algorithm was used to realize the trajectory customization. Second, the improved butterfly optimization algorithm (BOA) was used to optimize the nonuniform rational B-spline fitting curve (NURBS). Then, a variable gain control strategy is designed, which enables the robot to track the trajectory well with small human-robot interaction (HRI) forces and to comply with a large HRI force to ensure safety. Regarding the return motion, an error subdivision method is designed to slow the return movement. The results showed that the customization force is less than 6 N. The trajectory tracking error is within 12 mm without a large HRI force. The control gain starts to decrease in 0.5 s periods while there is a large HRI force, thereby improving safety. With the decrease in HRI force, the real position can return to the desired trajectory slowly, which makes the patient feel comfortable.

Design and Analysis of an Upper Limb Rehabilitation Robot Based on Multimodal Control.

To address the rehabilitation needs of upper limb hemiplegic patients in various stages of recovery, streamline the workload of rehabilitation professionals, and provide data visualization, our research team designed a six-degree-of-freedom upper limb exoskeleton rehabilitation robot inspired by the human upper limb's structure. We also developed an eight-channel synchronized signal acquisition system for capturing surface electromyography (sEMG) signals and elbow joint angle data. Utilizing Solidworks, we modeled the robot with a focus on modularity, and conducted structural and kinematic analyses. To predict the elbow joint angles, we employed a back propagation neural network (BPNN). We introduced three training modes: a PID control, bilateral control, and active control, each tailored to different phases of the rehabilitation process. Our experimental results demonstrated a strong linear regression relationship between the predicted reference values and the actual elbow joint angles, with an R-squared value of 94.41% and an average error of four degrees. Furthermore, these results validated the increased stability of our model and addressed issues related to the size and single-mode limitations of upper limb rehabilitation robots. This work lays the theoretical foundation for future model enhancements and further research in the field of rehabilitation.

Sollerman Hand Function Sub-Test "Write with a Pen": A Computer-Vision-Based Approach in Rehabilitation Assessment.

Impaired hand function is one of the most frequently persistent consequences of stroke. Throughout the rehabilitation process, physicians consistently monitor patients and perform kinematic evaluations in order to assess their overall progress in motor recovery. The Sollerman Hand Function Test (SHT) is a valuable assessment tool used to evaluate a patient's capacity to engage in daily activities. It holds great importance in the field of medicine as it aids in the assessment of treatment effectiveness. Nevertheless, the requirement for a therapist's physical presence and the use of specialized materials make the test time-consuming and reliant on clinic availability. In this paper, we propose a computer-vision-based approach to the "Write with a pen" sub-test, originally included in the SHT. Our implementation does not require extra hardware equipment and is able to run on lower-end hardware specifications, using a single RGB camera. We have incorporated all the original test's guidelines and scoring methods into our application, additionally providing an accurate hand spasticity evaluator. After briefly presenting the current research approaches, we analyze and demonstrate our application, as well as discuss some issues and limitations. Lastly, we share some preliminary findings from real-world application usage conducted at the University campus and outline our future plans.

Proof of Concept for the Use of Immersive Virtual Reality in Upper Limb Rehabilitation of Multiple Sclerosis Patients.

Multiple sclerosis (MS) is a debilitating disease which gradually reduces motor function and mobility. Virtual reality (VR) has been successfully utilised in support of existing therapeutic approaches for many different conditions, and new innovative and experimental features could be the future of VR rehabilitation. The Quest is a new headset by Oculus, with its built-in tracking, relatively low cost, portability and lack of reliance on expensive processing heavy PCs to power it, and could be an ideal system to facilitate at-home or clinic-based upper limb rehabilitation. A hand-tracking-based rehabilitation game aimed at people with MS was developed for Oculus Quest using Unity. Two distinct games were made to replicate different types of hand exercises, piano playing for isolated finger flexion and maze tracking for coordination and arm flexion. This pilot study assesses the value of such approach along with evaluating intrinsic and extrinsic methods of providing feedback, namely, positive scoring, negative scoring and audio response. One physiotherapist and two individuals with MS were surveyed. Participant response was positive although small sample size impacts the user testing validity of the results. Future research is recommended to build off the data gathered as a pilot study and increase sample size to collect richer feedback.

Trajectory Planning and Simulation Study of Redundant Robotic Arm for Upper Limb Rehabilitation Based on Back Propagation Neural Network and Genetic Algorithm.

In this study, a Back Propagation (BP) neural network algorithm based on Genetic Algorithm (GA) optimization is proposed to plan and optimize the trajectory of a redundant robotic arm for the upper limb rehabilitation of patients. The feasibility of the trajectory was verified by numerical simulations. First, the collected dataset was used to train the BP neural network optimized by the GA. Subsequently, the critical points designated by the rehabilitation physician for the upper limb rehabilitation were used as interpolation points for cubic B-spline interpolation to plan the motion trajectory. The GA optimized the planned trajectory with the goal of time minimization, and the feasibility of the optimized trajectory was analyzed with MATLAB simulations. The planned trajectory was smooth and continuous. There was no abrupt change in location or speed. Finally, simulations revealed that the optimized trajectory reduced the motion time and increased the motion speed between two adjacent critical points which improved the rehabilitation effect and can be applied to patients with different needs, which has high application value.

Robustness and Tracking Performance Evaluation of PID Motion Control of 7 DoF Anthropomorphic Exoskeleton Robot Assisted Upper Limb Rehabilitation.

Upper limb dysfunctions (ULD) are common following a stroke. Annually, more than 15 million people suffer a stroke worldwide. We have developed a 7 degrees of freedom (DoF) exoskeleton robot named the smart robotic exoskeleton (SREx) to provide upper limb rehabilitation therapy. The robot is designed for adults and has an extended range of motion compared to our previously designed ETS-MARSE robot. While providing rehabilitation therapy, the exoskeleton robot is always subject to random disturbance. Moreover, these types of robots manage various patients and different degrees of impairment, which are quite impossible to model and incorporate into the robot dynamics. We hypothesize that a model-independent controller, such as a PID controller, is most suitable for maneuvering a therapeutic exoskeleton robot to provide rehabilitation therapy. This research implemented a model-free proportional-integral-derivative (PID) controller to maneuver a complex 7 DoF anthropomorphic exoskeleton robot (i.e., SREx) to provide a wide variety of upper limb exercises to the different subjects. The robustness and trajectory tracking performance of the PID controller was evaluated with experiments. The results show that a PID controller can effectively control a highly nonlinear and complex exoskeleton-type robot.

[Mechanical Design and Research of Wearable Exoskeleton Assisted Robot for Upper Limb Rehabilitation].

Based on the biomechanical mechanism of human upper limb, the disadvantages of traditional rehabilitation training and the current status of upper limb rehabilitation robot, a six degree of freedom, flexible adjustment, wearable upper limb rehabilitation exoskeleton design scheme is proposed. Firstly, the mechanics of each joint of the upper limb is analyzed, and the virtual prototype design of the whole mechanical structure of the upper limb rehabilitation wearable exoskeleton is carried out by using CATIA three-dimensional software. The tooth transmission of the forearm and the upper arm single row four point contact ball bearing with internal/external rotation and the shoulder flexible passive adjustment mechanism (viscoelastic damper) are innovatively designed. Then, the joints of the upper limb rehabilitation exoskeleton are analyzed, theoretical analysis and calculation of the driving torque, the selection of the motor and gearbox of each driving joint are carried out. Finally, the whole finite element analysis of the upper limb exoskeleton is carried out. The research and experimental results showed that the design scheme of the upper limb exoskeleton assist structure is highly feasible, which can help the patients with upper limb paralysis and motor dysfunction self-rehabilitation.

A randomized controlled trial to compare two methods of constraint-induced movement therapy to improve functional ability in the affected upper limb in pre-school children with hemiplegic cerebral palsy: CATCH TRIAL.

OBJECTIVE: To determine the feasibility and short-term efficacy of caregiver-directed constraint-induced movement therapy to improve upper limb function in young children with hemiplegic cerebral palsy. DESIGN: Randomized controlled trial with masked assessment. SETTING: Community paediatric therapy services. SUBJECTS: Pre-school children with hemiplegic cerebral palsy. INTERVENTIONS: Caregiver-directed constraint-induced movement therapy administered using either 24-hour short-arm restraint device (prolonged) or intermittent holding restraint during therapy (manual). MAIN MEASURES: Primary measures include Assisting Hand Assessment (AHA) at 10 weeks. Secondary measures include adverse events, Quality of Upper Extremity Skills Test and Pediatric Quality of Life Inventory. Feasibility measures include recruitment, retention, data completeness and adherence. RESULTS: About 62/81 (72%) of eligible patients in 16 centres were randomized (prolonged restraint n = 30; manual restraint n = 32) with 97% retention at 10 weeks. The mean change at 10 weeks on the AHA logit-based 0-100 unit was 9.0 (95% confidence interval (CI): 5.7, 12.4; P < 0.001) for prolonged restraint and 5.3 (95% CI: 1.3, 9.4; P = 0.01) for manual restraint with a mean group difference of 3.7 (95% CI: -1.5, 8.8; P = 0.156) (AHA smallest detectable difference = 5 units). No serious related adverse events were reported. There were no differences in secondary outcomes. More daily therapy was delivered with prolonged restraint (60 vs 30 minutes; P < 0.001). AHA data were complete at baseline and 10 weeks. CONCLUSION: Caregiver-directed constraint-induced movement therapy is feasible and associated with improvement in upper limb function at 10 weeks. More therapy was delivered with prolonged than with manual restraint, warranting further testing of this intervention in a longer term trial.

[Study on the center-driven multiple degrees of freedom upper limb rehabilitation training robot].

With the aging of the society, the number of stroke patients has been increasing year by year. Compared with the traditional rehabilitation therapy, the application of upper limb rehabilitation robot has higher efficiency and better rehabilitation effect, and has become an important development direction in the field of rehabilitation. In view of the current development status and the deficiency of upper limb rehabilitation robot system, combined with the development trend of all kinds of products of the upper limb rehabilitation robot, this paper designed a center-driven upper limb rehabilitation training robot for cable transmission which can help the patients complete 6 degrees of freedom (3 are driven, 3 are underactuated) training. Combined the structure of robot with more joints rehabilitation training, the paper choosed a cubic polynomial trajectory planning method in the joint space planning to design two trajectories of eating and lifting arm. According to the trajectory equation, the movement trajectory of each joint of the robot was drawn in MATLAB. It laid a foundation for scientific and effective rehabilitation training. Finally, the experimental prototype is built, and the mechanical structure and design trajectories are verified.

[Human-robot global Simulink modeling and analysis for an end-effector upper limb rehabilitation robot].

Robot rehabilitation has been a primary therapy method for the urgent rehabilitation demands of paralyzed patients after a stroke. The parameters in rehabilitation training such as the range of the training, which should be adjustable according to each participant's functional ability, are the key factors influencing the effectiveness of rehabilitation therapy. Therapists design rehabilitation projects based on the semiquantitative functional assessment scales and their experience. But these therapies based on therapists' experience cannot be implemented in robot rehabilitation therapy. This paper modeled the global human-robot by Simulink in order to analyze the relationship between the parameters in robot rehabilitation therapy and the patients' movement functional abilities. We compared the shoulder and elbow angles calculated by simulation with the angles recorded by motion capture system while the healthy subjects completed the simulated action. Results showed there was a remarkable correlation between the simulation data and the experiment data, which verified the validity of the human-robot global Simulink model. Besides, the relationship between the circle radius in the drawing tasks in robot rehabilitation training and the active movement degrees of shoulder as well as elbow was also matched by a linear, which also had a remarkable fitting coefficient. The matched linear can be a quantitative reference for the robot rehabilitation training parameters.

Adaptive hybrid robotic system for rehabilitation of reaching movement after a brain injury: a usability study.

BACKGROUND: Brain injury survivors often present upper-limb motor impairment affecting the execution of functional activities such as reaching. A currently active research line seeking to maximize upper-limb motor recovery after a brain injury, deals with the combined use of functional electrical stimulation (FES) and mechanical supporting devices, in what has been previously termed hybrid robotic systems. This study evaluates from the technical and clinical perspectives the usability of an integrated hybrid robotic system for the rehabilitation of upper-limb reaching movements after a brain lesion affecting the motor function. METHODS: The presented system is comprised of four main components. The hybrid assistance is given by a passive exoskeleton to support the arm weight against gravity and a functional electrical stimulation device to assist the execution of the reaching task. The feedback error learning (FEL) controller was implemented to adjust the intensity of the electrical stimuli delivered on target muscles according to the performance of the users. This control strategy is based on a proportional-integral-derivative feedback controller and an artificial neural network as the feedforward controller. Two experiments were carried out in this evaluation. First, the technical viability and the performance of the implemented FEL controller was evaluated in healthy subjects (N = 12). Second, a small cohort of patients with a brain injury (N = 4) participated in two experimental session to evaluate the system performance. Also, the overall satisfaction and emotional response of the users after they used the system was assessed. RESULTS: In the experiment with healthy subjects, a significant reduction of the tracking error was found during the execution of reaching movements. In the experiment with patients, a decreasing trend of the error trajectory was found together with an increasing trend in the task performance as the movement was repeated. Brain injury patients expressed a great acceptance in using the system as a rehabilitation tool. CONCLUSIONS: The study demonstrates the technical feasibility of using the hybrid robotic system for reaching rehabilitation. Patients' reports on the received intervention reveal a great satisfaction and acceptance of the hybrid robotic system. TRIAL REGISTRATION: Retrospective trial registration in ISRCTN Register with study ID ISRCTN12843006 .

Vision-Based Pose Estimation for Robot-Mediated Hand Telerehabilitation.

Vision-based Pose Estimation (VPE) represents a non-invasive solution to allow a smooth and natural interaction between a human user and a robotic system, without requiring complex calibration procedures. Moreover, VPE interfaces are gaining momentum as they are highly intuitive, such that they can be used from untrained personnel (e.g., a generic caregiver) even in delicate tasks as rehabilitation exercises. In this paper, we present a novel master-slave setup for hand telerehabilitation with an intuitive and simple interface for remote control of a wearable hand exoskeleton, named HX. While performing rehabilitative exercises, the master unit evaluates the 3D position of a human operator's hand joints in real-time using only a RGB-D camera, and commands remotely the slave exoskeleton. Within the slave unit, the exoskeleton replicates hand movements and an external grip sensor records interaction forces, that are fed back to the operator-therapist, allowing a direct real-time assessment of the rehabilitative task. Experimental data collected with an operator and six volunteers are provided to show the feasibility of the proposed system and its performances. The results demonstrate that, leveraging on our system, the operator was able to directly control volunteers' hands movements.

Music Upper Limb Therapy - Integrated (MULT-I) supports a positive transformation in sense of self post stroke: a thematic analysis.

PURPOSE: To understand how the experience of Music Upper Limb Therapy - Integrated (MULT-I) interconnects with the experience of stroke. METHODS: Thematic analysis of semi-structured interviews and video-recorded MULT-I sessions from a larger mixed-methods study. Thirty adults with post-stroke hemiparesis completed pre-intervention interviews, of whom fifteen participated in MULT-I. Thirteen of the participants in MULT-I completed post-intervention interviews. RESULTS: The experience of stroke was characterized by five themes: (1) sudden loss of functional abilities, (2) disrupted participation, (3) desire for independence, (4) emotional distress and the need for support, and (5) difficulty negotiating changes in sense of self. The experience of MULT-I was characterized by three themes: (1) MULT-I activated movement and empowered personal choice, (2) MULT-I created a safe place to process emotional distress and take on challenges, and (3) MULT-I fostered a sense of belonging and a positive transformation in sense of self. These themes combined create a framework which illustrates the process by which MULT-I addressed each challenge described by survivors of stroke, facilitating a positive transformation in sense of self. CONCLUSION: MULT-I promotes physical, emotional, and social wellbeing following a stroke. This integrated approach supports a positive transformation in sense of self. These findings have implications for improving psychosocial well-being post stroke.

The experience of stroke is characterized by disruptions in physical, emotional, and social well-beingSurvivors of stroke describe difficulty obtaining support for emotional distress and experience negative perceptions of their sense of selfMULT-I addresses functional needs post stroke through motivating physical movement and participation, while also supporting autonomy and providing psychosocial support that facilitates a positive transformation in sense of self.

Effect of combining an upper limb rehabilitation support robot with task-oriented training on severe upper limb paralysis after spinal cord infarction: A case report.

Yokoi A, Miyasaka H, Ogawa H, Itoh S, Okazaki H, Sonoda S. Effect of combining an upper limb rehabilitation support robot with task-oriented training on severe upper limb paralysis after spinal cord infarction: A case report. Jpn J Compr Rehabil Sci 2024; 15: 42-48. Objective: This study examined the effect of an upper limb rehabilitation support robot and task-oriented training on treating a patient with severe upper limb paralysis after spinal cord infarction who required total assistance with self-care. Case: A 60-year-old man was diagnosed with watershed infarction in the C5-7 spinal cord region. He was admitted to our hospital 18 days after onset of the disease. The patient had severe paralysis of both upper limbs, and the total score for the Functional Independence Measure (FIM) motor items was 25 points. Regarding the Canadian Occupational Performance Measure (COPM), three goals were listed: "eating," "going to the toilet," and "raising one's hand in a meeting." The performance of "going to the toilet" was rated three points, and the performance and satisfaction of other items were one point. The intervention was practiced for 1 h/day, mainly items selected from COPM. The training using an upper limb rehabilitation support robot was added for 1 h/day. The upper limb rehabilitation support robot adjusted the range of motion and dosage according to the patient's motor function level and recovery status. About three months after admission, he improved until his upper limbs could be held in space on activities of daily living (ADL), and the total score for the FIM motor items improved to 81 points. The satisfaction and performance of all items listed as goals in COPM at the time of admission improved to ten points, and the patient was discharged 108 days after admission. Conclusions: The upper limb rehabilitation support robot training that matched the level of motor function improved the motor function and active range of motion (ROM). ADL generalization through task-oriented training helped improve self-care. The use of COPM for the training to enable the patient to acquire the ability to perform meaningful activities led to improved COPM performance and satisfaction.

Design of Virtual Reality Exergames for Upper Limb Stroke Rehabilitation Following Iterative Design Methods: Usability Study.

BACKGROUND: Since the early 2000s, there has been a growing interest in using exercise video games (exergames) and virtual reality (VR)-based interventions as innovative methods to enhance physical rehabilitation for individuals with multiple disabilities. Over the past decade, researchers and exercise professionals have focused on developing specialized immersive exercise video games for various populations, including those who have experienced a stroke, revealing tangible benefits for upper limb rehabilitation. However, it is necessary to develop highly engaging, personalized games that can facilitate the creation of experiences aligned with the preferences, motivations, and challenges communicated by people who have had an episode of stroke. OBJECTIVE: This study seeks to explore the customization potential of an exergame for individuals who have undergone a stroke, concurrently evaluating its usability as a technological tool in the realm of physical therapy and rehabilitation. METHODS: We introduce a playtest methodology to enhance the design of a VR exergame developed using a user-centered approach for upper limb rehabilitation in stroke survivors. Over 4 playtesting sessions, stroke survivors interacted with initial game versions using VR headsets, providing essential feedback for refining game content and mechanics. Additionally, a pilot study involving 10 stroke survivors collected data through VR-related questionnaires to assess game design aspects such as mechanics, assistance, experience, motion sickness, and immersion. RESULTS: The playtest methodology was beneficial for improving the exergame to align with user needs, consistently incorporating their perspectives and achieving noteworthy results. The pilot study revealed that users had a positive response. In the first scenario, a carpenter presents a game based on the flexion-extension movement of the elbow; the second scenario includes a tejo game (a traditional Colombian throwing game) designed around game mechanics related to the flexion-extension movement of the shoulder; and in the third scenario, a farmer challenges the player to perform a movement combining elbow flexion and extension with internal and external rotation of the shoulder. These findings suggest the potential of the studied exergame as a tool for the upper limb rehabilitation of individuals who have experienced a stroke. CONCLUSIONS: The inclusion of exergames in rehabilitation for stroke-induced hemiparesis has significantly benefited the recovery process by focusing on essential shoulder and elbow movements. These interactive games play a crucial role in helping users regain mobility and restore practical use of affected limbs. They also serve as valuable data sources for researchers, improving the system's responsiveness. This iterative approach enhances game design and markedly boosts user satisfaction, suggesting exergames have promising potential as adjunctive elements in traditional therapeutic approaches.