测试和评估机电一体化分流系统的物理框架

Q4 Agricultural and Biological Sciences
A. Alkharabsheh, L. Momani, Yousef Qawaqzeh, A. Alsakarneh
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引用次数: 0

摘要

分流器是一种被称为导管的柔性管道,植入脑内产生脑脊液(CSF)。现有的治疗方法依赖于带有压差阀的被动式植入分流器。作者定义、设计并编程了一个智能无线脑积水分流系统。该分流系统经过设计、模拟和测试,可执行多项任务,如调节机电阀门、收集注射控制压力(ICP)读数、分析这些读数、应对所有紧急情况以及诊断整个分流系统。如今,新医疗设备的临床试验面临着许多挑战。临床试验非常复杂,需要遵守多项规则和规定,以确保符合不同的标准。由于医疗试验的难度很大,因此迫切需要一个物理框架,用于在脑积水机电分流试验中实施颅内压和脑脊液动力学虚拟模型。这种物理框架将在评估整个机电一体化分流系统的功能方面发挥重要作用。图中展示了机电一体化分流系统(植入式和外置式)的框架,并与嵌入式管理和诊断软件进行了整合。这种框架将有助于评估、测试和评价拟议分流系统的主要功能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Physical Framework for Testing and Evaluating of a Mechatronic Shunting System
Shunt is a flexible tube called a catheter implanted inside the brain where cerebrospinal fluid (CSF) is produced. Existing treatments rely on passive implantable shunts with differential pressure valves. The authors defined, designed, and programmed an intelligent wireless hydrocephalus shunting system. The shunting system was designed, simulated, and tested to carry out many tasks such as regulating the mechatronic valve, collecting Injection Control Pressure (ICP) readings, analyzing these readings, responding to all emergency cases, and diagnosing the whole shunting system. Nowadays, many challenges face clinical trials for new medical devices. Clinical trials are complex and require following several rules and regulations to ensure compliance with different standards. Due to the difficulty of using medical trials, an urgent need for a physical framework for implementing a virtual model of intracranial pressure and cerebrospinal fluid dynamics in hydrocephalus mechatronic shunt testing. Such a physical framework will play a vital role in assessing the functioning of the whole mechatronic shunting system. A framework of a mechatronic shunting system (implanted and external) is illustrated and integrated with embedded management and diagnosis software. Such a framework will help assess, test, and evaluate the main functions of the proposed shunting system.
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来源期刊
International Journal Bioautomation
International Journal Bioautomation Agricultural and Biological Sciences-Food Science
CiteScore
1.10
自引率
0.00%
发文量
22
审稿时长
12 weeks
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