View clinical trials related to Vision, Low.
Filter by:This clinical trial aims to compare the effectiveness of our adaptive, therapeutic game to the effectiveness of the same game, without the adaptive component. In the adaptive game, the game entry level is adapted to the visual perceptual capacities of the child, as defined by the visual perceptual profile. In addition, the difficulty level of the adaptive game will adapt itself to the gaming results and behaviour of the child. The non-adaptive version of the game consists of the same set of mini-games, but the entry-level is the same for all children (basic or 0 entry-level) and gradually increased, independent of the gaming results, success and behaviour of the child. The researchers will use a double-blind, randomized controlled trial design, including children with a developmental age between 3 and 12 years old, a diagnosis of CVI, acuity >0.2, with sufficient manual coordination to control a mouse, keypad or touch screen. All children will use the gamified therapy program for three months, with a minimum of three times per week, 15- 20 minutes. A blinded evaluator will evaluate the effectiveness on the main components of the visual perceptual profile of the child (primary outcome), on eye tracking parameters, functional vision and quality of life, at the end and at three months follow-up. Enjoyment and user experience will be monitored closely during the intervention period. As usual and regular therapy of the children will not be influenced during the intervention period, we will ask the parents and/or caretaker to register all other relevant gaming and therapy activities performed during that period. It is hypothesized that children will benefit more from an individualized, adaptive training approach compared to the generic, non-adaptive version of the program.
Approximately 217 million people worldwide currently suffer from low vision, which impacts a broad range of activities of daily living and is associated with depression and increased mortality. Over half of the patients presenting for low vision services have eye disease that affects the fovea and surrounding macula and leads to central vision loss (CVL). People with CVL are forced to use eccentric vision as a substitute for their impaired fovea, however eye movement control and visual function is impaired with eccentric vision. Recent evidence and preliminary results from the investigators show that rehabilitation methods can help improve oculomotor control and this can lead to improved functional outcomes. The investigators have developed new feedback-based training methods that aim to improve eccentric vision use by patients with CVL. In a series of studies, the investigators examine rehabilitation of fixation control, smooth pursuit eye movements that track moving objects and saccadic eye movements that abruptly change the point of regard. The investigators examine how visual feedback, scotoma awareness methods and hand-eye coordination can improve eccentric vision use. Improvements in oculomotor control are quantified with eye tracking methods and associated changes in visual function are quantified with acuity, contrast sensitivity and reading performance. The proposed research therefore develops and translates state-of-the-art methods in basic science to clinical applications. Accomplishing the proposed aims will provide new and improved methods for rehabilitation strategies for visual impairment. The ultimate goal of this proposal is to maximize the residual visual function of people with low vision and to help them to live independently, thereby improving quality of life and minimizing the economic and social burden of visual impairment.
According to the WHO's definition of visual impairment, as of 2018, there were approximately 1.3 billion people with visual impairment in the world, and only 10% of countries can provide assisting services for the rehabilitation of visual impairment. Although China is one of the countries that can provide rehabilitation services for patients with visual impairment, due to restrictions on the number of professionals in various regions, uneven diagnosis and treatment, and regional differences in economic conditions, not all visually impaired patients can get the rehabilitation of assisting device fitting. Traditional statistical methods were not enough to solve the problem of intelligent fitting of assisting devices. At present, there are almost no intelligent fitting models of assisting devices in the world. Therefore, in order to allow more low-vision patients to receive accurate and rapid rehabilitation services, we conducted a cross-sectional study on the assisting devices fitting for low-vision patients in Fujian Province, China in the past five years, and at the same time constructed a machine learning model to intelligently predict the adaptation result of the basic assisting devices for low vision patients.
According to the WHO's definition of visual impairment, as of 2018, there were approximately 1.3 billion people with visual impairment in the world, and only 10% of countries can provide assisting services for the rehabilitation of visual impairment. Although China is one of the countries that can provide rehabilitation services for patients with visual impairment, due to restrictions on the number of professionals in various regions, uneven diagnosis and treatment, and regional differences in economic conditions, not all visually impaired patients can get the rehabilitation of assisting device fitting. Traditional statistical methods were not enough to solve the problem of intelligent fitting of assisting devices. At present, there are almost no intelligent fitting models of assisting devices in the world. Therefore, in order to allow more low-vision patients to receive accurate and rapid rehabilitation services, we conducted a cross-sectional study on the assisting devices fitting for low-vision patients in Fujian Province, China in the past five years, and at the same time constructed a machine learning model to intelligently predict the adaptation result of the basic assisting devices for low vision patients.
Primary objective of this study is the development and validation of a web-based application for the examination of the distance visual acuity of normal- and low-vision patients.
The human subject research is a randomized, controlled training trial that tests the effectiveness of three Virtual Reality-based Intelligent Orientation and Mobility Specialists (VR-IOMSs) in teaching orientation and mobility (O&M) task skills to low vision patients. It will be conducted on two sites, University of Alabama at Birmingham (UAB) and Alabama Institute for Deaf and Blind (AIDB). The same protocol will be used on both sites. UAB will be the sIRB for the trial. Three O&M tasks will be studied, timing to cross a signalized street using the near lane parallel traffic surge skill, timing to cross an uncontrolled street using the traffic gap judgment skill and learning outdoor numbering system. A VR-IOMS will be develop for each task. The training does not involve research subjects walking into street traffic. Low vision subjects who have difficulties with these O&M tasks due to their impaired vision will be randomized into three groups, learning the task from a VR-IOMS (experimental group), from a human Certified Orientation & Mobility Specialist (COMS) in real streets (active control group) and not learning the task but spending the same amount of time watching low vision education videos (placebo group). All subjects will be evaluated by COMSs in real streets around the two study sites before training (pre-training), within 3 days after the completion of training (post-training) and 3 months after the completion of training (follow up). Their ability to perform the O&M tasks will be assess quantitatively using objective methods. COMSs who conduct these evaluations will be blinded for subject training assignment. The primary outcome measure is the training effect, the difference in task performance between the pre-training and post-training real street evaluations. The training effects of the 3 groups will be compared to determine the training effectiveness of the VR-IOMS relative to human COMS. Secondary outcome measures include the retainment of the training effect. Objective assessment of the VR-IOMS training process and trainee subjective evaluation of the VR-IOMS training will also be analyzed.
This trial aims to assess the accuracy and test-retest variability of a new digital app which enables community visual acuity testing without requirement of an trained examiner.
This study is driven by the hypothesis that navigation for users of retinal prosthetics can be greatly improved by incorporating Spatial Localization and Mapping (SLAM) and object recognition technology conveying environmental information via a retinal prosthesis and auditory feedback. The investigators will study how effectively the SLAM technology enables the visual prosthesis system to construct a map of the user's environment and locate the user within that map. The technology will be tested both with normally sighted individuals donning a virtual reality headset and with retinal prosthesis users (Argus II).
Purpose: To validate a newly developed battery of performance-based tests of visual function to be presented using virtual reality. The tests are intended as potential outcome measures for clinical trials of treatments of eye disease: they measure visual performance in patients with low vision on visual tasks that a relevant for daily life.
The aims of this exploratory research project are to customize, deploy and evaluate the preliminary efficacy of a socially assistive robot as a novel approach to motivate and encourage optimal, long-term use of new magnification devices for reading in individuals with vision loss. The goals are to promote patient acceptance, adherence and skills reinforcement to achieve proficiency in the use of the magnifier, in order to attempt to reduce visual disability while performing important daily activities, such as reading tasks. This is a high priority given the increasing prevalence of low vision, paucity of low vision rehabilitation providers, and barriers related to access to care, such as transportation and geography, all of which motivate the development of this complementary approach for the provision of additional support at home by the socially assistive robot.