Magnetic resonance navigation (MRN) is an emerging research technique in recent years. The micro/nano robots existing in vessels can be driven by magnetic gradients given by MR scanner. As a non-invasive vascular imaging technique, Magnetic resonance angiography (MRA) is able to provide a vascular network of an anatomy without injection of contrast agent. In order to automatically guide and drive micro/nano robots to target in vascular network, a navigation strategy is desired. In this paper, a novel path planning algorithm based on A* search is proposed. The MRA image is preliminarily processed to extract major vessels. Then, pixel-based A* search algorithm identifies the shortest path between start point and target without human supervision. Experimental results on both of simulation image and MRA image demonstrate that the proposed method is able to accomplish path planning automatically in MRA image. That path can guide the injected micro/nano robots to navigate in the blood vessels.
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http://dx.doi.org/10.1109/EMBC.2018.8512417 | DOI Listing |
BMC Public Health
January 2025
Department of Applied Social Sciences, Hong Kong Polytechnic University, Hong Kong, China.
Background: This study investigates the relationships between resilience dimensions, coping strategies, and prior disaster experience, focusing on disaster preparedness and avoidance behaviors in Taiwan.
Methods: A total of 550 participants were surveyed, with 57.82% being female and the majority aged between 21 and 40 years.
Arch Rehabil Res Clin Transl
December 2024
Recovery and Performance Laboratory, Faculty of Medicine, Memorial University of Newfoundland, St. John's, Newfoundland, Canada.
Objective: To determine whether robotic metrics: (1) correlate with the Nine-Hole Peg Test (9HPT; good convergent validity); and (2) differentiate between those self-reporting "some hand problems" versus "no hand problems" (good criterion validity).
Design: Cross-sectional validation analyses.
Setting: Rehabilitation research laboratory located within a hospital.
PLoS One
January 2025
Department of Computer Science and Information Systems, College of Applied Sciences, AlMaarefa University, Diriyah, Riyadh, Saudi Arabia.
Reinforcement learning is a remarkable aspect of the artificial intelligence field with many applications. Reinforcement learning facilitates learning new tasks based on action and reward principles. Motion planning addresses the navigation problem for robots.
View Article and Find Full Text PDFDisaster Med Public Health Prep
January 2025
Centers for Disease Control and Prevention (CDC), National Center for Environmental Health (NCEH), Division of Health Science and Practice (DEHSP).
Objective: Evacuation can reduce morbidity and mortality by ensuring households are safely out of the path of, and ensuing impacts from, a disaster. Our goal was to characterize potential evacuation behaviors among a nationally representative sample.
Methods: We added 10 questions to the existing Porter Novelli's (PN) ConsumerStyles surveys in Fall 2020, Spring 2021, and Fall 2021.
Ann Phys Rehabil Med
January 2025
Healthy Brain & Mind Research Centre (HBM), School of Behavioural and Health Sciences, Australian Catholic University, 115 Victoria Parade, Fitzroy, VIC, 3065 Australia.
Background: Inaccurate perception of one's physical abilities is potentially related to age-related declines in motor planning and can lead to changes in walking. Motor imagery training is effective at improving balance and walking in older adults, but most research has been conducted on older adults following surgery or in those with a history of falls. Deficits in motor imagery ability are associated with reduced executive function in older adults with cognitive impairment.
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