微流控网络物理诊断系统:基于神经网络的应用

P. Roy, Amiya Sahoo, Mriganka Chakrabarty, H. Rahaman
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引用次数: 0

摘要

当今微流控和微加工技术的进步导致了新一代芯片实验室(LOC)设备的出现,即数字微流控生物芯片。这些设备在医学诊断、法医学、DNA测序、药物设计、环境监测等领域都有广泛的应用。自动光学检测和分析在医学诊断的解释和决策中发挥着重要作用。本文提出了一种基于人工神经网络的网络物理系统,用于执行顺序多级检测,以增强医疗检测和诊断,从而实现准确的治疗程序。在FPGA平台上对基于生物芯片的检测诊断进行了仿真。仿真结果与常规方法接近,具有较高的启发性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Microfluidic Cyberphysical Diagnostic System: An ANN Based Application
The present day advances in Microfluidic and Microfabrication technology resulted in the emergence of a new generation of lab-on-chip (LOC) devices namely digital microfluidic biochips. Such devices find wide application in the area of medical diagnostics, forensics, sequencing of DNA, design of drugs, monitoring of environment and so on. Automated optical detection and analysis plays significant role in interpretation and decision making in medical diagnostics using lab-on-chip based applications. This paper proposes a cyber physical system based on artificial neural networks to perform a sequential multilevel detection for enhanced medical detection and diagnostics for accurate treatment procedure. The Biochip based detection and diagnosis is simulated in an FPGA platform. The simulation results are found to be closely accurate with conventional techniques and highly encouraging.
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