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基于智能视频的医疗设备原型的硬件集成测试.

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    这项研究引入了一种硬件在循环 (HIL) 系统,用于测试像视频囊内镜 (VCE) 等基于摄像头的医疗设备. 基于FPGA的HIL系统在临床试验之前实时验证设备功能和错误检测.

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    科学领域:

    • 生物医学工程 生物医学工程
    • 医疗成像医学成像
    • 嵌入式系统 嵌入式系统

    背景情况:

    • 基于摄像头的智能体内医疗设备需要严格的验证.
    • 视频囊内镜 (VCE) 是胃肠道诊断的一个关键技术.
    • 现有的验证方法可能无法充分解决复杂设备的实时性能和错误检测问题.

    研究的目的:

    • 为智能,基于摄像头的体内医疗设备推出一种新的硬件在循环 (HIL) 验证系统.
    • 用视频囊内镜 (VCE) 原型来证明系统的有效性.
    • 验证系统对实时性能和自动错误识别的能力.

    主要方法:

    • 基于现场可编程门阵列 (FPGA) 的HIL验证系统的开发.
    • 通过注入预先记录的VCE图像来模拟胃肠道 (GI) 穿越.
    • 与VCE原型进行集成和测试,以评估实时需求和错误检测.

    主要成果:

    • 该HIL系统成功地满足了VCE原型的实时操作要求.
    • 该系统展示了在模拟使用过程中自动识别错误的能力.
    • 基于FPGA的方法在模拟复杂的内置设备场景方面被证明是有效的.

    结论:

    • 开发的HIL系统为验证基于摄像头的体内医疗设备提供了一个强大的平台.
    • 这种验证方法有助于将机器学习 (ML) 硬件加速器集成到医疗设备中.
    • 该系统可以进行临床前测试和验证,提高设备的可靠性和安全性.