CPS: Sensing Processing and Action of Biomedical Smart Textiles

 描述（由申请人提供）： 可穿戴电子设备和计算技术在日常生活中变得无处不在。在医院和医疗设施中用不显眼的身体穿戴设备替换需要大量支持基础设施的笨重医疗设备的前景具有成为颠覆性创新的潜力，所述身体穿戴设备可以稳健且安全地发送和接收用于远程治疗的生物医学感测和致动的数据。尽管目前存在的大多数电子纺织品都使用集成到主机服装上的电路，但德雷克塞尔大学的针织技术能够实现无缝集成针织传感器和致动器的服装。我们建议将智能织物传感器和致动器集成到舒适的服装设备中，为深静脉血栓形成（DVT）提供不显眼的预防选择，这是目前不可能的，特别是在高风险患者中。妊娠和长期久坐是DVT的危险因素。根据疾病控制和预防中心的数据，DVT/PE在美国每年影响30万至90万人。与NIBIB的使命一致，该项目将导致新的生物医学智能纺织品的研究和开发，这将从根本上改善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、工程学、时装设计、社会学、护理学和信息学）。该项目的具体目标包括：传感-开发一个不显眼的腿部活动测量系统，无缝编织，不需要电池或笨重的电子产品。信号处理-开发一个实时的预测数据驱动控制系统，该系统将允许对非确定性干扰（如运动伪影和传感器位置变化）具有鲁棒性。驱动-开发生物医学智能纺织品，为体内组织提供机械刺激，以进行远程驱动治疗。

 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.