Brain-Computer Interface Based on Magnetic Particle Imaging For Diagnostic and Neurological Rehabilitation in Multiple Sclerosis

被引:1
作者
Miller, Tiffany C. [1 ]
机构
[1] USF Coll Engn, Dept Elect Engn, Tampa, FL 33620 USA
来源
2020 8TH INTERNATIONAL WINTER CONFERENCE ON BRAIN-COMPUTER INTERFACE (BCI) | 2020年
关键词
neurological dysfunction; Magnetic Particle Image (MPI); nanoparticles; axonal injury; Multiple Sclerosis (MS); pharmacokinetic process; brain-computer interface;
D O I
10.1109/bci48061.2020.9061645
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Applications of brain-computer interface (BCI) based on data of magnetic particle image (MPI) scanning of biological effector bound in-vivo magnetic nanoparticles (MNs) can be a desirable method of providing noninvasive diagnostic and neurological rehabilitative solutions for patients having various neurological dysfunctions such as, Multiple Sclerosis (MS). MNs may be dispensed to a patient for noninvasive localized monitoring of neurodegenerative disease by measuring changes in action potential along a neuron or by measuring levels of inflammation by determining concentrations of cellular debris at a particular point of interest in the brain such as at impaired nerve fibers of a neuron. The MNs may be configured for bidirectional communication with an electronic device in electrical communication with a MPI machine. Further, these MNs may be configured for drug delivery to a predetermined location associated with brain inflammation or to actuate the pharmacokinetic expulsion of toxic cellular debris.
引用
收藏
页码:187 / 192
页数:6
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