Wearable elastography for ambulatory monitoring of tissue mechanics

用于组织力学动态监测的可穿戴弹性成像

• 批准号: 10726529
• 负责人: Xiaoyue Ni
• 金额: $ 59.45万
• 依托单位: DUKE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-09-21 至 2026-09-20
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10726529
• 关键词: Accelerometer; Acoustics; Address; Air; Algorithms; Ambulatory Monitoring; Anatomy; Architecture; Biological; Biological Markers; Biometry; Bluetooth; Body Surface; Calibration; Cardiovascular Diseases; Cell Proliferation; Charge; Chronic; Clinic; Clinical Management; Complex; Connective Tissue; Data; Data Analyses; Detection; Development; Devices; Diagnosis; Disease; Disease Management; Disease Progression; Drops; Edema; Elastic Tissue; Elasticity; Elastomers; Electronics; Encapsulated; Growth; Health; Heart failure; Histocompatibility; Home; Immune; Immunity; Injections; Kidney Diseases; Liquid substance; Location; Malignant Neoplasms; Measurement; Measures; Mechanics; Methods; Modeling; Modulus; Monitor; Morphologic artifacts; Motion; Muscle; Output; Penetration; Performance; Phosphate Buffer; Physical activity; Physiologic pulse; Positioning Attribute; Property; Research; Resolution; Saline; Scheme; Secure; Signal Transduction; Skin; Stream; Surface; Swelling; System; Technology; Testing; Thinness; Time; Tissues; Training; Transducers; Translating; Treatment Efficacy; Variant; Visit; Work; arm; automated algorithm; body sense; clinical care; clinical diagnosis; clinical practice; clinical translation; cloud based; data exchange; design; disease diagnosis; elastography; elastomeric; flexibility; human subject; instrument; interest; invention; mechanical properties; miniaturize; nervous system disorder; operation; point of care; portability; power consumption; prognostic indicator; response to injury; sensor; soft tissue; standard of care; temporal measurement; tomography; tool; ultrasound; wearable device; wireless; wireless electronic; wireless fidelity

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.

项目摘要/总结 组织的机械特性是疾病诊断和管理的重要生物特征。然而， 在流动活动期间以高精度访问此类数据尚未得到充分研究。弹性成像 或断层扫描方法是用于高分辨率检测组织力学的标准护理技术， 但复杂而庞大的装置对移动物体的精确测量提出了巨大的挑战。现存的 便携式或可穿戴技术需要在目标位置进行专业校准，并且需要在有限的、 静态测试条件。当受试者移动时，准确性会下降，使得评估尤其困难 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、可穿戴的弹性成像技术 用于组织力学动态监测的装置。我们将发明一种实时、免校准的弹性成像技术 基于安装在皮肤上的加速度计阵列的脉冲表面波测量的方法。我们 将在无线软电子平台上构建优化的宽带驱动传感机制，该机制 可以牢固地安装到身体表面的各个解剖位置。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-空气界面传播。基于光谱波分析的自动化算法是校准- 对源自运动伪影等信号幅度的变化自由且不敏感。这 不受束缚的软贴片电子设备，可以紧密贴合身体表面，以及运动 不敏感的算法，将允许对组织力学进行动态监测，不受密集物理的影响 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 用于高通量检测模拟组织模型和运动模型上的机械参数的平台 科目。我们将根据动态的地面实况测量来验证设备的性能 机械分析或超声弹性成像。该项目积累的初步数据将为 进一步开展这项技术临床转化的工作。