Wearable elastography for ambulatory monitoring of tissue mechanics

项目摘要/摘要 组织的力学特性是疾病诊断和治疗的重要生物特征。然而， 在流动活动期间以高精度水平访问这样的数据还没有得到很好的研究。弹性成像 或断层摄影方法是用于以高分辨率检测组织力学的标准护理技术， 但是复杂和庞大的装置对精确测量运动物体提出了很大的挑战。现有 便携式或可穿戴技术需要在目标位置处的专业校准以及需要受限的， 静态测试条件当受试者移动时，准确性下降， 在长期的家庭环境中具有挑战性。在这里，我们建议开发一种无线，可穿戴弹性成像 用于组织力学的动态监测的装置。我们将发明一种实时的，无需校准的弹性成像 方法的基础上测量的脉冲表面波从一个阵列的皮肤安装加速度计。我们 将在无线软电子平台上建立一个优化的宽带致动传感机制， 可以在不同的解剖学位置牢固地安装到身体表面。软硬异质 材料集成策略将使可穿戴电子设备能够激发和检测弹性波 在皮肤-空气界面处传播。一种基于频谱波分析的自动算法是校准- 对源自例如运动伪影的信号幅度的变化是自由的并且不敏感。的 不受束缚的软贴片电子设备，可以紧密贴合身体表面，与运动一起- 不敏感算法，将允许对组织力学进行动态监测， 活动我们将彻底测试可穿戴弹性成像设备，并进行基于云的分析 一种仿组织体模及运动力学参数高通量检测平台 科目我们将验证设备的性能对地面实况测量从动态 机械分析或超声弹性成像。该项目积累的初步数据将为 为进一步的工作，导致这项技术的临床翻译的方式。

Project Abstract/Summary Mechanical properties of tissues are important biometrics for disease diagnosis and management. Yet, accessing such data with high accuracy levels during ambulatory activities is not well investigated. Elastography or tomography methods are standard-of-care technologies for detecting tissue mechanics with high resolution, but the complex and bulky setup poses a big challenge for precise measurements on moving subjects. Existing portable or wearable technologies need professional calibration at target locations as well as needing a confined, static testing condition. The accuracy drops when the subjects move, making the assessment especially challenging in long-term, in-home settings. Here, we propose to develop a wireless, wearable elastography device for ambulatory monitoring of tissue mechanics. We will invent a real-time, calibration-free elastography method based on the measurement of pulsed surface waves from an array of skin-mounted accelerometers. We will build an optimized, broadband actuation-sensing mechanism on a wireless, soft electronics platform, which can be securely mounted to the body surface at various anatomical locations. The heterogeneous hard-soft materials integration strategy will enable wearable electronics for excitation and detection of elastic waves propagating at the skin-air interface. An automated algorithm, based on spectral wave analysis, is calibration- free and insensitive to variance in signal amplitudes originating from, for example, motion artifacts. The untethered, soft-patch electronics that can tightly conform to the body surface, together with the motion- insensitive algorithm, will allow for ambulatory monitoring of tissue mechanics immune to intensive physical activities. We will thoroughly test the wearable elastography device accompanied by a cloud-based analysis platform for high-throughput detection of mechanical parameters on tissue-mimicking phantoms and moving subjects. We will validate the performance of the device against the ground-truth measurement from dynamic mechanical analysis or ultrasound elastography. The accumulated preliminary data from this project will pave the way for further work leading to clinical translations of this technology.