A Novel Shared Guidance Scheme for Intelligent Haptic Interaction Based Swarm Control of Magnetic Nanoparticles in Blood Vessels
Autor: | Amre Eizad, Jungwon Yoon, Myungjin Park, Tuan-Anh Le |
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Rok vydání: | 2020 |
Předmět: |
0209 industrial biotechnology
haptic intelligence General Computer Science Computer science swarm control General Engineering Swarm behaviour Nanoparticle 02 engineering and technology Magnetic particle inspection 021001 nanoscience & nanotechnology Motion control Magnetic targeted drug delivery 020901 industrial engineering & automation Magnetic particle imaging Control theory Magnet Magnetic nanoparticles General Materials Science Nanorobotics lcsh:Electrical engineering. Electronics. Nuclear engineering shared system 0210 nano-technology lcsh:TK1-9971 |
Zdroj: | IEEE Access, Vol 8, Pp 106714-106725 (2020) |
ISSN: | 2169-3536 |
DOI: | 10.1109/access.2020.3000329 |
Popis: | Swarm magnetic control is a promising technology for use in nanorobotics. However, automated control schemes for small and large populations of nanoparticles are not effective due to the complexity of real blood vessels, the lack of technologies for motion control feedback of individual particles, and the inaccuracy of the mathematical models. It is quite difficult to control unexpected magnetic particle movements in a real vessel. Specifically, when magnets are used to guide the particles, the sticking of particles to vessel walls causes the dispersion of particles, which is the main reason for low steering efficiency that may cause the occurrence of side effects in non-targeted areas. In addition, when the aggregation of particles occurs inside the vessels, it can cause clogging of the vessel and the randomness of aggregation makes it difficult for the user to control the particles precisely. In the presented work, we suggest a novel intuitive shared guidance scheme for 3D steering of magnetic nanoparticles (MNPs) in a realistic vessel model. We have performed simulation based user studies with different guidance modes (visual feedback (V), shared control (S), shared control and forbidden region mode (S-F), shared control and adaptive forbidden region mode (S-AF)). The results of these studies show that the suggested S-AF mode can significantly (p-value |
Databáze: | OpenAIRE |
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