View clinical trials related to Navigation, Spatial.
Filter by:The goal of this clinical trial is to test augmented reality (AR) based neuronavigation system in surgeries for patients of brain neoplasm or cerebral vascular disease. The main questions it aims to answer are: • AR based neuronavigation system can achieve accuracy that is not inferior to conventional intraoperative navigation system. Participants will participate the study after informed consent. When participants undergo surgery for their brain tumor, we will set up 2 types of neuronavigation, conventional navigation system and developed AR based neuronavigation system. Surgeon will plan and conduct surgery based on only conventional navigation system, but 3D errors at several selected points between two types of navigation will be measured and analyzed.
The objective is to collect data from a per-operative navigation system called SURGIVISIO during scoliosis surgeries. A research program is in progress in order super-impose pre-operative 3D reconstructions of the spine performed with the EOS system on the per-operative 3D reconstructions performed with the SURGIVISIO system. The purpose of the study is to collect the pre and per operatives data in order to perform the research and development program.
The National Eye Institute estimated about 3 million people over age 40 in the US had low vision in 2010 and projects an increase to nearly 5 million in 2030 and 9 million in 2050. Current assistive technologies are a patchwork of mostly low-technology aids with limited capabilities that are often difficult to use, and are not widely adopted. This shortfall in capabilities of assistive technology often stems from lack of a user-centered design approach and is a critical barrier to improve the everyday activities of life (EDAL) and the quality of life (QOL) for individuals with low vision. An intuitive head mounted display (HMD) system on enhancing orientation and mobility (O&M) and crosswalk navigation, could improve independence, potentially decrease falls, and improve EDAL and QOL. The central hypothesis is that an electronic navigation system incorporating computer vision will enhance O&M for individuals with low vision. The goal is to develop and validate a smartHMD by incorporating advanced computer vision algorithms and flexible user interfaces that can be precisely tailored to an individual's O&M need. This project will address the specific question of mobility while the subject crosses a street at a signaled crosswalk. This is a dangerous and difficult task for visually impaired patients and a significant barrier to independent mobility.