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Moulaei K, Sheikhtaheri A, Haghdoost A, Shahabi Nezhad M, Bahaadinbeigy K. Design, development and evaluation of registry software for upper limb disabilities. Healthc Technol Lett 2024; 11:496-503. [PMID: 39720749 PMCID: PMC11665789 DOI: 10.1049/htl2.12115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2023] [Revised: 07/23/2024] [Accepted: 12/03/2024] [Indexed: 12/26/2024] Open
Abstract
Upper limb disabilities, if not managed, controlled and treated, significantly affect the physical and mental condition, daily activities and quality of life. Registries can help control and manage and even treat these disabilities by collecting clinical-management data of upper limb disabilities. Therefore, the aim of this study is to design, develop and evaluate a registry system for upper limb disabilities in terms of usability. By having identified data elements in the exploratory phase, we developed our registry software using hypertext preprocessor (PHP) programming language in XAMPP software, version 8.1.10. The content and interface validity of the pre-final version were assessed by 13 experts in the field of medical informatics and health information management. The registry has capabilities to create user profiles, record patient history, clinical records, independence in daily activities, mental health, and treatment processes. It can also generate statistical reports. Participants evaluated the registry's usability as "good" across different dimensions. The registry can help understand upper limb disabilities, improve care, reduce costs and errors, determine incidence and prevalence, evaluate prevention and treatment, and support research and policymaking. The registry can serve as a model for designing registries for other body disabilities.
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Affiliation(s)
- Khadijeh Moulaei
- Health Management and Economics Research CenterHealth Management Research InstituteIran University of Medical SciencesTehranIran
- Artificial Intelligence in Medical Sciences Research CenterSmart University of Medical SciencesTehranIran
| | - Abbas Sheikhtaheri
- Department of Health Information ManagementSchool of Health Management and Information SciencesIran University of Medical SciencesTehranIran
| | - AliAkbar Haghdoost
- HIV/STI Surveillance Research Center and WHO Collaborating Center for HIV SurveillanceInstitute for Futures Studies in HealthKerman University of Medical SciencesKermanIran
| | - Mansour Shahabi Nezhad
- Department of Physical TherapyFaculty of Allied MedicineKerman University of Medical SciencesKermanIran
| | - Kambiz Bahaadinbeigy
- Clinical Workshops instructorDigital Health SpecialistThe Australian College of Rural and Remote Medicine (ACRRM)BrisbaneAustralia
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Higgins E, Zorrilla M, D'Innocenzo M, Goldberg MR, Cohen SK, Augustine N, Faieta J, Murphy K, Pearlman JL. Historical technology transfer activities and productivity of NIDLRR grantees. Assist Technol 2024; 36:452-464. [PMID: 38630052 DOI: 10.1080/10400435.2024.2324051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/19/2024] [Indexed: 10/24/2024] Open
Abstract
This paper analyzes the technology-related outputs from The National Institute of Disability, Independent Living, and Rehabilitation Research (NIDILRR). We seek to answer the questions: What are the types and frequency of assistive technology (AT) technology transfer (ATTT) outputs from NIDILRR grants? How does NIDILRR's ATTT generation compare to other granting organizations? What types of ATTT outputs occur, how, and what is the relative productivity of the most frequently funded universities and small businesses performing with funding by NIDILRR grants? An online search was conducted for indications of ATTT from grants funded from 1983-2021 through publicly available databases, the National Rehabilitation Information Center (NARIC), and the internet. This data was then categorized across relevant output types and analyzed. NIDILRR funded 662 organizations and 951 different investigators from 1983 to 2021. The NIDILRR-funded portfolio includes 6,996 papers, 438 informational websites, 163 patents, 120 software products, and 29 hardware products. Compared to the National Institutes of Health (NIH), NIDILRR produced slightly more products per dollar. Our results highlight the substantial portfolio of technology-related outputs generated with NIDILRR funding and demonstrate how productivity measures can be calculated to guide future funding strategies.
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Affiliation(s)
- Erin Higgins
- Department of Rehabilitation Science and Technology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Michelle Zorrilla
- Department of Rehabilitation Science and Technology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Megan D'Innocenzo
- Department of Rehabilitation Science and Technology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Mary R Goldberg
- Department of Rehabilitation Science and Technology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Susan K Cohen
- College of Business Administration, Katz Graduate School of Business, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Nancy Augustine
- Department of Rehabilitation Science and Technology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Julie Faieta
- Department of Rehabilitation Science and Technology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Kathleen Murphy
- Center for KTDRR, American Institute for Research, Austin, TX, USA
| | - Jonathan L Pearlman
- Department of Rehabilitation Science and Technology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
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Naqvi WM, Naqvi I, Mishra GV, Vardhan V. The Dual Importance of Virtual Reality Usability in Rehabilitation: A Focus on Therapists and Patients. Cureus 2024; 16:e56724. [PMID: 38646260 PMCID: PMC11032731 DOI: 10.7759/cureus.56724] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2024] [Accepted: 03/22/2024] [Indexed: 04/23/2024] Open
Abstract
Virtual reality (VR) has advanced in medical education and rehabilitation from basic graphical applications due to its ability to generate a virtual three-dimensional (3D) environment. This environment is mostly used to practice professional skills, plan surgery procedures, simulate surgeries, display 3D anatomy, and rehabilitate various disorders. VR has transformed the field of rehabilitation therapy by providing immersive and engaging experiences that go beyond traditional bounds, significantly improving patient care and therapeutic results. Considering the direct impact of VR on the efficacy of the treatment for both therapists and patients, its dual significance for usability and user experience cannot be overstated. The purpose of this article is to determine the synergistic association between VR accessibility and the rehabilitation process, highlighting the significance of VR technology in designing the future of rehabilitation therapy and demonstrating how advancing VR technology can improve therapeutic outcomes despite overcoming obstacles encountered during VR usage. In conclusion, VR offers a personalized, efficient, interesting, and engaging rehabilitative environment for patients, while also assisting therapists in cultivating empathy and efficiency and encouraging innovative approaches in treatment procedures.
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Affiliation(s)
- Waqar M Naqvi
- Interdisciplinary Sciences, Datta Meghe Institute of Higher Education and Research, Wardha, IND
- Physiotherapy, College of Health Sciences, Gulf Medical University, Ajman, ARE
| | - Ifat Naqvi
- Physiotherapy, Ravi Nair Physiotherapy College, Datta Meghe Institute of Higher Education and Research, Nagpur, IND
| | - Gaurav V Mishra
- Radiodiagnosis, Datta Meghe Institute of Higher Education and Research, Wardha, IND
| | - Vishnu Vardhan
- Physiotherapy, Ravi Nair Physiotherapy College, Datta Meghe Institute of Higher Education and Research, Wardha, IND
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An KO, Choi MJ, Kim SS, Kang BR, Bae YH, Kweon H. Requirements for Universally Accessible Upper-Body Exercise Equipment: The Case of People with Spinal Cord Injuries in Korea. Occup Ther Int 2023; 2023:6652703. [PMID: 38161738 PMCID: PMC10756738 DOI: 10.1155/2023/6652703] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Revised: 11/28/2023] [Accepted: 12/06/2023] [Indexed: 01/03/2024] Open
Abstract
BACKGROUND People with disabilities face considerable obstacles when exercising, which precludes them from the social and health benefits of physical activity. Especially for individuals with paraplegia with spinal cord injuries, it is necessary to maintain continuous participation in physical activity even after discharge, as it helps to maintain mobility and daily living activities through upper body strength. However, the participation rate of people with disabilities in physical activity in Korea is still low, mainly due to the lack of exercise equipment and facilities. OBJECTIVES The aim of this study is to identify aspects that can be improved for better accessibility to exercise equipment for individuals with paraplegia with spinal cord injuries and to reach a consensus on possible guidelines for accessible exercise equipment. METHODS This study reviews and evaluated the usability of four existing upper-body exercise equipment for individuals with paraplegia with spinal cord injuries. To assess usability, task performance scores and time were measured, and a survey was conducted on safety and satisfaction. Based on these results, areas for improvement were identified. Through literature review, usability results, and opinions from various stakeholders, eight requirements for universal accessibility were proposed. RESULTS It is necessary to consider how wheelchair users access the exercise equipment. The access method to the exercise area (facility regulations, auxiliary equipment to be provided, etc.) and placement of exercise equipment should also be considered. Information such as explanations of the exercise equipment and how to use it should be located within the wheelchair user's field of vision. Considering the participation rate in sports for people with disabilities in Korea, it is necessary to explain the exact exercise equipment and exercise method. It is also necessary to consider how wheelchair users transfer from the wheelchair to the seat of the exercise equipment. Parts that require manipulation of each exercise equipment must be within the wheelchair user's range of motion. Various supports or assistive devices that provide body support according to each piece of equipment are needed. In addition to the wheelchair's own brake, it is necessary to provide a fixing device so that the wheelchair does not move during the exercise. CONCLUSION For people with spinal cord injuries, the arm ergometer, aerobic exercise equipment, showed higher scores in performance, stability, and satisfaction compared to other exercise equipment. Among the strength exercise equipment, shoulder press had an effect on performance, seated lat pull-down had an effect on stability, and seated chest press had an effect on satisfaction. Therefore, when selecting exercise equipment, it is necessary to recommend aerobic and strength exercise equipment according to the preferences of people with spinal cord injuries. When developing strength exercise equipment, it is necessary to consider usability evaluation factors for individuals with spinal cord injury.
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Affiliation(s)
- Kwang-Ok An
- Department of Healthcare and Public Health, Rehabilitation Research Institute, Korea National Rehabilitation Center, Republic of Korea
| | - Myo-Jung Choi
- Department of Clinical Rehabilitation, Rehabilitation Research Institute, Korea National Rehabilitation Center, Republic of Korea
| | - Sung-Shin Kim
- Department of Clinical Rehabilitation, Rehabilitation Research Institute, Korea National Rehabilitation Center, Republic of Korea
| | - Bo-Ra Kang
- Department of Clinical Rehabilitation, Rehabilitation Research Institute, Korea National Rehabilitation Center, Republic of Korea
| | - Young-Hyeon Bae
- Department of Healthcare and Public Health, Rehabilitation Research Institute, Korea National Rehabilitation Center, Republic of Korea
| | - Hyosun Kweon
- Department of Clinical Rehabilitation, Rehabilitation Research Institute, Korea National Rehabilitation Center, Republic of Korea
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Mitsopoulos K, Fiska V, Tagaras K, Papias A, Antoniou P, Nizamis K, Kasimis K, Sarra PD, Mylopoulou D, Savvidis T, Praftsiotis A, Arvanitidis A, Lyssas G, Chasapis K, Moraitopoulos A, Astaras A, Bamidis PD, Athanasiou A. NeuroSuitUp: System Architecture and Validation of a Motor Rehabilitation Wearable Robotics and Serious Game Platform. SENSORS (BASEL, SWITZERLAND) 2023; 23:3281. [PMID: 36991992 PMCID: PMC10053382 DOI: 10.3390/s23063281] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Revised: 03/04/2023] [Accepted: 03/14/2023] [Indexed: 06/19/2023]
Abstract
BACKGROUND This article presents the system architecture and validation of the NeuroSuitUp body-machine interface (BMI). The platform consists of wearable robotics jacket and gloves in combination with a serious game application for self-paced neurorehabilitation in spinal cord injury and chronic stroke. METHODS The wearable robotics implement a sensor layer, to approximate kinematic chain segment orientation, and an actuation layer. Sensors consist of commercial magnetic, angular rate and gravity (MARG), surface electromyography (sEMG), and flex sensors, while actuation is achieved through electrical muscle stimulation (EMS) and pneumatic actuators. On-board electronics connect to a Robot Operating System environment-based parser/controller and to a Unity-based live avatar representation game. BMI subsystems validation was performed using exercises through a Stereoscopic camera Computer Vision approach for the jacket and through multiple grip activities for the glove. Ten healthy subjects participated in system validation trials, performing three arm and three hand exercises (each 10 motor task trials) and completing user experience questionnaires. RESULTS Acceptable correlation was observed in 23/30 arm exercises performed with the jacket. No significant differences in glove sensor data during actuation state were observed. No difficulty to use, discomfort, or negative robotics perception were reported. CONCLUSIONS Subsequent design improvements will implement additional absolute orientation sensors, MARG/EMG based biofeedback to the game, improved immersion through Augmented Reality and improvements towards system robustness.
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Affiliation(s)
- Konstantinos Mitsopoulos
- Medical Physics & Digital Innovation Laboratory, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
| | - Vasiliki Fiska
- Medical Physics & Digital Innovation Laboratory, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
| | - Konstantinos Tagaras
- Medical Physics & Digital Innovation Laboratory, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
| | - Athanasios Papias
- Medical Physics & Digital Innovation Laboratory, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
| | - Panagiotis Antoniou
- Medical Physics & Digital Innovation Laboratory, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
| | - Konstantinos Nizamis
- Department of Design, Production and Management, University of Twente, 7522 NB Enschede, The Netherlands
| | - Konstantinos Kasimis
- Department of Physiotherapy, International Hellenic University, 57400 Thessaloniki, Greece
| | - Paschalina-Danai Sarra
- Medical Physics & Digital Innovation Laboratory, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
| | - Diamanto Mylopoulou
- Medical Physics & Digital Innovation Laboratory, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
| | - Theodore Savvidis
- Medical Physics & Digital Innovation Laboratory, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
| | - Apostolos Praftsiotis
- Medical Physics & Digital Innovation Laboratory, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
| | - Athanasios Arvanitidis
- Medical Physics & Digital Innovation Laboratory, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
| | - George Lyssas
- Medical Physics & Digital Innovation Laboratory, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
| | - Konstantinos Chasapis
- Medical Physics & Digital Innovation Laboratory, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
| | - Alexandros Moraitopoulos
- Medical Physics & Digital Innovation Laboratory, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
| | - Alexander Astaras
- Department of Computer Science, American College of Thessaloniki, 55535 Thessaloniki, Greece
| | - Panagiotis D. Bamidis
- Medical Physics & Digital Innovation Laboratory, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
| | - Alkinoos Athanasiou
- Medical Physics & Digital Innovation Laboratory, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
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Zhou P. Specialty grand challenge: Rehabilitation engineering. FRONTIERS IN REHABILITATION SCIENCES 2023; 4:1069269. [PMID: 36910878 PMCID: PMC9993071 DOI: 10.3389/fresc.2023.1069269] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Accepted: 01/13/2023] [Indexed: 02/24/2023]
Affiliation(s)
- Ping Zhou
- School of Rehabilitation Science and Engineering, University of Health and Rehabilitation Sciences, Qingdao, China
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Ahmed T, Thopalli K, Rikakis T, Turaga P, Kelliher A, Huang JB, Wolf SL. Automated Movement Assessment in Stroke Rehabilitation. Front Neurol 2021; 12:720650. [PMID: 34489855 PMCID: PMC8417323 DOI: 10.3389/fneur.2021.720650] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Accepted: 07/19/2021] [Indexed: 11/13/2022] Open
Abstract
We are developing a system for long term Semi-Automated Rehabilitation At the Home (SARAH) that relies on low-cost and unobtrusive video-based sensing. We present a cyber-human methodology used by the SARAH system for automated assessment of upper extremity stroke rehabilitation at the home. We propose a hierarchical model for automatically segmenting stroke survivor's movements and generating training task performance assessment scores during rehabilitation. The hierarchical model fuses expert therapist knowledge-based approaches with data-driven techniques. The expert knowledge is more observable in the higher layers of the hierarchy (task and segment) and therefore more accessible to algorithms incorporating high level constraints relating to activity structure (i.e., type and order of segments per task). We utilize an HMM and a Decision Tree model to connect these high level priors to data driven analysis. The lower layers (RGB images and raw kinematics) need to be addressed primarily through data driven techniques. We use a transformer based architecture operating on low-level action features (tracking of individual body joints and objects) and a Multi-Stage Temporal Convolutional Network(MS-TCN) operating on raw RGB images. We develop a sequence combining these complimentary algorithms effectively, thus encoding the information from different layers of the movement hierarchy. Through this combination, we produce a robust segmentation and task assessment results on noisy, variable and limited data, which is characteristic of low cost video capture of rehabilitation at the home. Our proposed approach achieves 85% accuracy in per-frame labeling, 99% accuracy in segment classification and 93% accuracy in task completion assessment. Although the methodology proposed in this paper applies to upper extremity rehabilitation using the SARAH system, it can potentially be used, with minor alterations, to assist automation in many other movement rehabilitation contexts (i.e., lower extremity training for neurological accidents).
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Affiliation(s)
- Tamim Ahmed
- Department of Biomedical Engineering, Virginia Tech, Blacksburg, VA, United States
| | - Kowshik Thopalli
- Geometric Media Lab, School of Arts, Media and Engineering, Arizona State University, Tempe, AZ, United States
| | - Thanassis Rikakis
- Department of Biomedical Engineering, Virginia Tech, Blacksburg, VA, United States
| | - Pavan Turaga
- Geometric Media Lab, School of Arts, Media and Engineering, Arizona State University, Tempe, AZ, United States
| | - Aisling Kelliher
- Department of Computer Science, Virginia Tech, Blacksburg, VA, United States
| | - Jia-Bin Huang
- Department of Electrical and Communication Engineering, Virginia Tech, Blacksburg, VA, United States
| | - Steven L Wolf
- Department of Rehabilitation Medicine, Emory University, Atlanta, GA, United States
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Converging Robotic Technologies in Targeted Neural Rehabilitation: A Review of Emerging Solutions and Challenges. SENSORS 2021; 21:s21062084. [PMID: 33809721 PMCID: PMC8002299 DOI: 10.3390/s21062084] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Revised: 03/05/2021] [Accepted: 03/11/2021] [Indexed: 11/17/2022]
Abstract
Recent advances in the field of neural rehabilitation, facilitated through technological innovation and improved neurophysiological knowledge of impaired motor control, have opened up new research directions. Such advances increase the relevance of existing interventions, as well as allow novel methodologies and technological synergies. New approaches attempt to partially overcome long-term disability caused by spinal cord injury, using either invasive bridging technologies or noninvasive human-machine interfaces. Muscular dystrophies benefit from electromyography and novel sensors that shed light on underlying neuromotor mechanisms in people with Duchenne. Novel wearable robotics devices are being tailored to specific patient populations, such as traumatic brain injury, stroke, and amputated individuals. In addition, developments in robot-assisted rehabilitation may enhance motor learning and generate movement repetitions by decoding the brain activity of patients during therapy. This is further facilitated by artificial intelligence algorithms coupled with faster electronics. The practical impact of integrating such technologies with neural rehabilitation treatment can be substantial. They can potentially empower nontechnically trained individuals-namely, family members and professional carers-to alter the programming of neural rehabilitation robotic setups, to actively get involved and intervene promptly at the point of care. This narrative review considers existing and emerging neural rehabilitation technologies through the perspective of replacing or restoring functions, enhancing, or improving natural neural output, as well as promoting or recruiting dormant neuroplasticity. Upon conclusion, we discuss the future directions for neural rehabilitation research, diagnosis, and treatment based on the discussed technologies and their major roadblocks. This future may eventually become possible through technological evolution and convergence of mutually beneficial technologies to create hybrid solutions.
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Sun J, Luo Q. Research on Application of Health Medical Information Science Data Sharing Standard System in Sports Rehabilitation. JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS 2021. [DOI: 10.1166/jmihi.2021.3352] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
The development of medical information technology has rapidly promoted the development of medical information technology towards intelligence. Health medical data provides basic data resource protection for intelligent medical services and smart medical services. This article abstracts
the typical models of domestic and international health medical information management services, and provides theoretical basis and practical reference for the building of an evaluation index system for health management service capabilities. An system for health management service capabilities
under a data sharing standard system was constructed, and the status and linkage of health management services were investigated and comprehensively evaluated to provide an index system and empirical data for evaluating hospital health management service capabilities. Finally, analyze the
advantages and disadvantages of health management services under the medical consortium framework, propose countermeasures to improve the health management service system, provide decision-making references for units to improve their health management service capabilities, optimize health
management service models, and formulate health management services for relevant government departments Provisional policies to promote the implementation of health management.
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Affiliation(s)
- Jun Sun
- School of Physical Education, Central China Normal University, Wuhan, 430079, China
| | - Qiulan Luo
- School of Physical Education, Central China Normal University, Wuhan, 430079, China
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A Mobile App to Optimize Social Participation for Individuals with Physical Disabilities: Content Validation and Usability Testing. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18041753. [PMID: 33670222 PMCID: PMC7916924 DOI: 10.3390/ijerph18041753] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/18/2021] [Revised: 02/03/2021] [Accepted: 02/04/2021] [Indexed: 11/23/2022]
Abstract
Background: Social participation is beneficial for individuals’ health. However, people with disabilities that may lead to mobility limitations tend to experience lower levels of social participation. Information and communication technologies such as the OnRoule mobile application (app) can help promote social participation. Objectives: To obtain potential users’ perceptions on the usability and content of the OnRoule app for providing information on accessibility, as well as its potential to optimize social participation. Materials and Methods: Cross-sectional user-centered design study. Individuals with physical disabilities (n = 18) were recruited through community organizations and interviewed using a semi-structured guide. Interviews were recorded, transcribed, and analyzed using thematic analysis. Results: Three main themes were identified: (1) “user-friendliness”; (2) “balance between the amount and relevance of information”; and (3) “potential use of the app”. Discussion and Conclusion: Findings from this study indicated that the app was easy to use, had pertinent information, and enabled a positive experience of finding information. However, several areas of improvement were identified, such as the clarity of specific elements, organization and amount of information, optimization of features, and inclusiveness. Apps such as OnRoule could optimize social participation by facilitating the process of finding resources in the community and building a sense of connectedness between users.
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Reinkensmeyer DJ. JNER at 15 years: analysis of the state of neuroengineering and rehabilitation. J Neuroeng Rehabil 2019; 16:144. [PMID: 31744511 PMCID: PMC6864952 DOI: 10.1186/s12984-019-0610-0] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2019] [Accepted: 10/16/2019] [Indexed: 11/10/2022] Open
Abstract
On JNER's 15th anniversary, this editorial analyzes the state of the field of neuroengineering and rehabilitation. I first discuss some ways that the nature of neurorehabilitation research has evolved in the past 15 years based on my perspective as editor-in-chief of JNER and a researcher in the field. I highlight increasing reliance on advanced technologies, improved rigor and openness of research, and three, related, new paradigms - wearable devices, the Cybathlon competition, and human augmentation studies - indicators that neurorehabilitation is squarely in the age of wearability. Then, I briefly speculate on how the field might make progress going forward, highlighting the need for new models of training and learning driven by big data, better personalization and targeting, and an increase in the quantity and quality of usability and uptake studies to improve translation.
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Affiliation(s)
- David J Reinkensmeyer
- Department of Mechanical and Aerospace Engineering, University of California at Irvine, California, USA. .,Department of Anatomy and Neurobiology, University of California at Irvine, California, USA. .,Department of Biomedical Engineering, University of California at Irvine, California, USA. .,Department of Physical Medicine and Rehabilitation, University of California at Irvine, California, USA.
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12
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Keshner EA, Weiss PT, Geifman D, Raban D. Tracking the evolution of virtual reality applications to rehabilitation as a field of study. J Neuroeng Rehabil 2019; 16:76. [PMID: 31226995 PMCID: PMC6588867 DOI: 10.1186/s12984-019-0552-6] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2018] [Accepted: 06/14/2019] [Indexed: 11/23/2022] Open
Abstract
Background Application of virtual reality (VR) to rehabilitation is relatively recent with clinical implementation very rapidly following technological advancement and scientific discovery. Implementation is often so rapid that demonstrating intervention efficacy and establishing research priorities is more reactive than proactive. This study used analytical tools from information science to examine whether application of VR to rehabilitation has evolved as a distinct field of research or is primarily a methodology in core disciplines such as biomedical engineering, medicine and psychology. Methods The analysis was performed in three-stages: 1) a bibliographic search in the ISI Web of Science database created an initial corpus of publications, 2) the corpus was refined through topic modeling, and 3) themes dominating the corpus from the refined search results were identified by topic modeling and network analytics. This was applied separately to each of three time periods: 1996 to 2005 (418 publications), 2006 to 2014 (1454 publications), and 2015 to mid-2018 (1269 publications). Results Publication rates have continuously increased across time periods with principal topics shifting from an emphasis on computer science and psychology to rehabilitation and public health. No terminology specific to the field of VR-based rehabilitation emerged; rather a range of central concepts including “virtual reality”, “virtual gaming”, “virtual environments”, “simulated environments” continue to be used. Communities engaged in research or clinical application of VR form assemblages distinguished by a focus on physical or psychological rehabilitation; these appear to be weakly linked through tele-rehabilitation. Conclusions Varying terms exemplify the main corpus of VR-based rehabilitation and terms are not consistent across the many scientific domains. Numerous distinguishable areas of research and clinical foci (e.g., Tele-rehabilitation, Gait & Balance, Cognitive Rehabilitation, Gaming) define the agenda. We conclude that VR-based rehabilitation consists of a network of scientific communities with a shared interest in the methodology rather than a directed and focused research field. An interlinked team approach is important to maintain scientific rigor and technological validity within this diverse group. Future studies should examine how these interdisciplinary communities individually define themselves with the goals of gathering knowledge and working collectively toward disseminating information essential to associated research communities.
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Affiliation(s)
- Emily A Keshner
- Department of Physical Therapy, College of Public Health, Temple University, Ritter Annex Room 683, 1301 Cecil B. Moore Ave, Philadelphia, PA, 19122, USA.
| | - Patrice Tamar Weiss
- Department of Occupational Therapy, Faculty of Social Welfare and Health Sciences, University of Haifa, Haifa, Israel
| | - Dorit Geifman
- Faculty of Management, University of Haifa, Haifa, Israel
| | - Daphne Raban
- Faculty of Management, University of Haifa, Haifa, Israel
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Raghavan P. Research in the Acute Rehabilitation Setting: a Bridge Too Far? Curr Neurol Neurosci Rep 2019; 19:4. [DOI: 10.1007/s11910-019-0919-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
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