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"Self-Help Devices"
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Implementation of 3D Printing Technology in the Field of Prosthetics: Past, Present, and Future
There is an interesting and long history of prostheses designed for those with upper-limb difference, and yet issues still persist that have not yet been solved. Prosthesis needs for children are particularly complex, due in part to their growth rates. Access to a device can have a significant impact on a child’s psychosocial development. Often, devices supporting both cosmetic form and user function are not accessible to children due to high costs, insurance policies, medical availability, and their perceived durability and complexity of control. These challenges have encouraged a grassroots effort globally to offer a viable solution for the millions of people living with limb difference around the world. The innovative application of 3D printing for customizable and user-specific hardware has led to open-source Do It Yourself “DIY” production of assistive devices, having an incredible impact globally for families with little recourse. This paper examines new research and development of prostheses by the maker community and nonprofit organizations, as well as a novel case study exploring the development of technology and the training methods available. These design efforts are discussed further in the context of the medical regulatory framework in the United States and highlight new associated clinical studies designed to measure the quality of life impact of such devices.
Journal Article
Disability and technology : an interdisciplinary and international approach
This book brings together formally disparate literatures and debates on disability and technology in a way that captures the complex interplay between the two. Drawing on disability studies, technology studies and clinical studies, the book argues that interdisciplinary insights together provide a more nuanced and less stylized picture of the benefits and barriers in disability and technology. Drawing on a breadth of empirical studies from across the globe, a picture emerges of the complex and multi-directional interplay of technology and disability. Technology is neither inherently enabling or disabling but fundamentally shaped by the social dynamics that shape their design, use and impact.
Book
Informal carers’ experience of assistive technology use in dementia care at home: a systematic review
Background
Dementia is a health and care priority globally. Caring for persons with dementia is a challenge and can lead to negative psychological, physiological and financial consequences for informal carers. Advances in technology have the potential to assist persons with dementia and their carers, through assistive technology devices such as electronic medication dispensers, robotic devices trackers and motion detectors. However, little is known about carers’ experience and the impact of these technologies on them. This review aims to investigate the outcomes and experience of carers of persons with dementia, who live at home and use assistive technology.
Methods
A systematic search in seven databases and manual searches were carried out using pre-defined inclusion and exclusion criteria to identify studies on carers of persons with dementia involving the use of assistive technology. The search identified 56 publications with quantitative, qualitative and mixed-method designs.
Results
The studies reported positive and negative findings and focused on a wide variety of assistive technology devices. There were large differences in the uses of assistive technology, outcome measures used and the quality of studies. Knowledge and acceptance, competence to use and ethical issues when using assistive technology were themes that emerged from the studies. Carers generally appreciated using assistive technology and their experience of use varied.
Conclusions
The intention of this systematic review is to list and classify the various types of assistive technology used by carers of persons with dementia and explores the positive and negative aspects, knowledge, acceptance and ethical issues in the use of assistive technology by carers of persons with dementia. We recommend the use of a standard and person-centred system of classifying and naming assistive technology devices and systems and for future research efforts in assistive technology to incorporate a family/carer centred model.
Systematic review registration
PROSPERO -
CRD42017082268
.
Journal Article
Ambient integrated robotics : automation and robotic technologies for maintenance, assistance, and service
\"The new research field of Ambient/Active Assisted Living (AAL) is quickly evolving. Ambient Integrated Robotics provides an easy-to-understand medical perspective to architects, designers, and engineers, bridging the different disciplines and showing how they fuse together to create the future of AAL technology. Using robotics as an example, the book illustrates how embedding its subsystems results in unique ambient technology that can be used to help people, particularly in adapting to the needs of the unwell and elderly populations. You will be provided with the knowledge and tools to contribute to the future of AAL. The Cambridge Handbooks on Construction Robotics series gives professionals, researchers, lecturers, and students basic conceptual and technical skills and strategies to manage, research, or teach the implementation of advanced automation, and robot-technology-based processes and technologies in construction. Books discuss progress in robot systems theory and demonstrates their integration using real applications and projections\"-- Provided by publisher.
Book
Origins and consequences of technology acquirement by independent-living seniors: towards an integrative model
Background
Living independently can be challenging for seniors
.
Technologies are expected to help older adults age in place, yet little empirical research is available on how seniors develop a need for technologies, how they acquire these technologies, and how these subsequently affect their lives. Aging is complex, dynamic and personal. But how does this translate to seniors’ adoption and acceptance of technology? To better understand origins and consequences of technology acquirement by independent-living seniors, an explorative longitudinal qualitative field study was set up.
Methods
Home visits were made to 33 community-dwelling seniors living in the Netherlands, on three occasions (2012–2014). Semi-structured interviews were conducted on the timeline of acquirements, and people and factors involved in acquirements. Additionally, participants were interviewed on experiences in using technologies since acquirement. Thematic analysis was employed to analyze interview transcripts, using a realist approach to better understand the contexts, mechanisms and outcomes of technology acquirements.
Results
Findings were accumulated in a new conceptual model: The Cycle of Technology Acquirement by Independent-Living Seniors (C-TAILS), which provides an integrative perspective on why and how technologies are acquired, and why these may or may not prove to be appropriate and effective, considering an independent-living senior’s needs and circumstances at a given point in time. We found that externally driven and purely desire-driven acquirements led to a higher risk of suboptimal use and low levels of need satisfaction.
Conclusions
Technology acquirement by independent-living seniors may be best characterized as a heterogeneous process with many different origins, pathways and consequences. Furthermore, technologies that are acquired in ways that are not congruent with seniors’ personal needs and circumstances run a higher risk of proving to be ineffective or inappropriate. Yet, these needs and circumstances are subject to change, and the C-TAILS model can be employed to better understand contexts and mechanisms that come into play.
Journal Article
Experiment-free exoskeleton assistance via learning in simulation
Exoskeletons have enormous potential to improve human locomotive performance
1
–
3
. However, their development and broad dissemination are limited by the requirement for lengthy human tests and handcrafted control laws
2
. Here we show an experiment-free method to learn a versatile control policy in simulation. Our learning-in-simulation framework leverages dynamics-aware musculoskeletal and exoskeleton models and data-driven reinforcement learning to bridge the gap between simulation and reality without human experiments. The learned controller is deployed on a custom hip exoskeleton that automatically generates assistance across different activities with reduced metabolic rates by 24.3%, 13.1% and 15.4% for walking, running and stair climbing, respectively. Our framework may offer a generalizable and scalable strategy for the rapid development and widespread adoption of a variety of assistive robots for both able-bodied and mobility-impaired individuals.
A learning-in-simulation framework for wearable robots uses dynamics-aware musculoskeletal and exoskeleton models and data-driven reinforcement learning to bridge the gap between simulation and reality without human experiments to assist versatile activities.
Journal Article
Multiple sclerosis and mobility-related assistive technology: Systematic review of literature
Multiple sclerosis (MS) causes a wide variety of neurological deficits, with ambulatory impairment the most obvious cause of disability. Within 10 to 15 years of disease onset, 80% of persons with MS experience gait problems due to muscle weakness or spasticity, fatigue, and loss of balance. To facilitate mobility, persons with MS frequently use mobility assistive technology (MAT), such as canes, crutches, walkers, wheelchairs, and scooters. We systematically reviewed the published literature on MAT use among persons with MS. We used electronic reference lists such as Ovid MEDLINE and PubMed to search the literature. We located 50 articles that met the initial criteria of providing good evidence of the types of MAT devices and their benefits for individuals with MS. A limited number of articles with higher levels of evidence was found regarding benefits of MAT use specifically for persons with MS. Evidence-based literature provides the basis for the strongest method of measurable clinical performance; therefore, having a strong research study design is vital to the justification of MAT prescription and reimbursement decisions. However, a paucity of studies with higher levels of evidence-based practice exists.
Journal Article
Artificial Intelligence of Things Applied to Assistive Technology: A Systematic Literature Review
According to the World Health Organization, about 15% of the world’s population has some form of disability. Assistive Technology, in this context, contributes directly to the overcoming of difficulties encountered by people with disabilities in their daily lives, allowing them to receive education and become part of the labor market and society in a worthy manner. Assistive Technology has made great advances in its integration with Artificial Intelligence of Things (AIoT) devices. AIoT processes and analyzes the large amount of data generated by Internet of Things (IoT) devices and applies Artificial Intelligence models, specifically, machine learning, to discover patterns for generating insights and assisting in decision making. Based on a systematic literature review, this article aims to identify the machine-learning models used across different research on Artificial Intelligence of Things applied to Assistive Technology. The survey of the topics approached in this article also highlights the context of such research, their application, the IoT devices used, and gaps and opportunities for further development. The survey results show that 50% of the analyzed research address visual impairment, and, for this reason, most of the topics cover issues related to computational vision. Portable devices, wearables, and smartphones constitute the majority of IoT devices. Deep neural networks represent 81% of the machine-learning models applied in the reviewed research.
Journal Article
Plug-and-play control of a brain–computer interface through neural map stabilization
Brain–computer interfaces (BCIs) enable control of assistive devices in individuals with severe motor impairments. A limitation of BCIs that has hindered real-world adoption is poor long-term reliability and lengthy daily recalibration times. To develop methods that allow stable performance without recalibration, we used a 128-channel chronic electrocorticography (ECoG) implant in a paralyzed individual, which allowed stable monitoring of signals. We show that long-term closed-loop decoder adaptation, in which decoder weights are carried across sessions over multiple days, results in consolidation of a neural map and ‘plug-and-play’ control. In contrast, daily reinitialization led to degradation of performance with variable relearning. Consolidation also allowed the addition of control features over days, that is, long-term stacking of dimensions. Our results offer an approach for reliable, stable BCI control by leveraging the stability of ECoG interfaces and neural plasticity.
A paralyzed individual controls a neuroprosthetic without daily recalibration.
Journal Article