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Proposing the Design, Application and Performance Analysis of an Intelligent Nanoelectronics System for the Detection and Prognosis of Nervous and Epileptic SeizuresKeywords: Epilepsy , Prognosis , Nervous Seizures , Molecular Electronics , Nanoelectronics , Intelligent Alarm System , Nanoprobe , Nanosensor , Computational Physics and Chemistry Abstract: "nNanoscience and Nanotechnology has enabled us to produce new atomic, molecular and cluster structures with desired properties in systematic and controlled approaches. Nanoelectronics (or Molecular Electronics) circuits which is based on molecular and quantum mechanical concepts and phenomena, can be used to design an intelligent system for the detection and prognosis of the initial electrical signals of the nervous and epileptic seizures. The design of the required power source based on the electrical currents of the nervous system and the location of the installation site are the most important features of the design and application of such an intelligent system. In the design of the molecular components needed for the nanoelectronic circuits of this system, physcochemical theoretical and computational techniques can be used. For the optimal design and performance of this prognosis system, environmental effects such as local electric and magnetic fields, and biochemical environments, should be taken into account. "nIn this article, the idea of the design of an intelligent nanoelectronic system for the detection, prognosis and possible control of epileptic attacks is presented. The phases of the design, application and performance analysis of this system include; 1) Detailed clinical analysis of the epileptic electrical signals prior, during and after the attack. 2) Feasibility study of the simulation of the nervous system and the perturbative effects of the epileptic seizure on it using in vivo nanoprobes. 3) Feasibility study of the usage of electric signals of the nerves of other organs having less complexity compared to brain for faster and more accurate prognosis. 4) Design of an in vivo nanoelectronic circuit for the detection and prognosis of the initial signals of epileptic seizures. 5) Feasibility study of the design and production of nanoelectrodes implantable in the skull for the reduction or extinction of the perturbative nervous signals in order to minimize the effects of epileptic seizure.
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