CPS: Sensing Processing and Action of Biomedical Smart Textiles

 描述(由申请人提供)： 可穿戴电子产品和计算技术在日常生活中变得无处不在。用不显眼的身体穿戴设备取代需要医院和医疗设施中大量配套基础设施的笨重医疗设备的前景，可以坚固而安全地发送和接收用于生物医学传感和远程治疗的数据，这可能是一项颠覆性的创新。尽管目前存在的大多数电子纺织品都使用粘合在主机服装上的电路，但德雷克塞尔大学的针织技术使服装能够实现无缝集成了编织传感器和执行器。我们建议将智能面料传感器和执行器集成到舒适的服装设备中，为深静脉血栓(DVT)提供不显眼的预防选择，这是目前无法实现的，尤其是在高危患者中。怀孕和久坐是DVT的危险因素。根据疾病控制和预防中心的数据，在美国，DVT/PE每年影响30万至90万人。与NIBIB的使命一致，该项目将导致研究和开发新的生物医学智能纺织品，从根本上改善DVT/PE的检测、治疗和预防，同时鼓励多学科领域的研究和开发(例如医学、工程、时尚设计、社会学、护理和信息学)。该项目的具体目标包括：传感-开发一种不显眼的腿部活动测量系统，该系统无缝编织，不需要电池或笨重的电子设备。信号处理-开发实时、预测性数据驱动的控制系统，该系统将允许对运动伪影和传感器位置变化等非确定性干扰具有稳健性。致动-开发生物医学智能纺织品，为远程致动治疗提供体内组织的机械刺激。

 DESCRIPTION (provided by applicant): Wearable electronics and computing technology are becoming ubiquitous in everyday life. The prospect of replacing cumbersome medical equipment requiring significant supporting infrastructure in hospitals and medical facilities, with unobtrusive body worn devices that can robustly and securely send and receive data for biomedical sensing and actuation for remote treatment, has the potential to be a disruptive innovation. Whereas the majority of electronic textiles in existence today make use of circuits adhesively integrated onto a host garment, knitting technology at Drexel University enables the realization of garments that have knit sensors and actuators seamlessly integrated within them. We propose to integrate smart fabric sensors and actuators into comfortable garment devices providing unobtrusive prevention options for deep venous thrombosis (DVT), that are not currently possible, particularly in high risk patients. Pregnancy and prolonged sedentary positions are risk factors for DVT. According to the Centers for Disease Control and Prevention, DVT/PE impacts between 300,000 to 900,000 people per year in the United States. Consistent with the mission of NIBIB, this project will result in research and development of new biomedical smart textiles that will fundamentally improve the detection, treatment, and prevention of DVT/PE, while encouraging research and development in multidisciplinary areas (e.g., medicine, engineering, fashion design, sociology, nursing, and informatics). Specific aims of the project include: Sensing - Develop an unobtrusive leg mobility measurement system that is seamlessly knitted and requires no batteries or cumbersome electronics. Signal Processing - Develop a real-time, predictive data-driven control system that will allow for robustness to non-deterministic disturbances such as motion artifacts and change in sensor location. Actuation - Develop biomedical smart textiles to provide mechanical stimulation of tissues in the body for remotely actuated treatment.