Wearable sensor for passive detection and efficient treatment of multiple disorders

摘要 保持健康体重的能力已经成为现代社会中越来越常见的障碍。 药物作为极端高或低的重量可能会导致和加重现有的医疗条件。实现 对于超重、肥胖或体重不足的人来说，健康的体重通常是困难的，因为大量的食物 摄入和锻炼跟踪通常是有效体重目标的要求。的准确性和 如果实时脂肪氧化生物标志物监测 设备可用。该团队和其他人最近对脂肪氧化的临床研究表明， 酮作为生物标志物的重要性，对于需要积极具体治疗的患者来说， 体重管理干预。除了进食障碍，与酮症酸中毒有关的疾病， 众所周知的1型糖尿病风险状态，或酮病状态，一种由低碳水化合物/高碳水化合物引起的高酮水平状态 脂肪饮食用于管理几种疾病（如癫痫，2型糖尿病，癌症等）， 需要密切监测血酮 虽然酮是FDA批准的脂肪氧化生物标志物，但基于酮的生物标志物相对较少。 传感器供消费者使用。那些确实存在的是基于血液，尿液和呼吸测试， 单点使用，有时不准确，或者对于日常使用来说太具侵入性。因此，一个巨大的需求 用于开发无源和非侵入式酮传感器。一个可能的解决方案是开发一个 传感器，其通过跟踪渗透的丙酮来显示关于穿戴者的脂肪氧化的真实的时间数据 通过传感器佩戴者的皮肤。 亚利桑那州立大学（ASU）的研究人员开发了一种传感器技术， 丙酮的检测表明可以准确地监测丙酮。然而，广泛的工作是必要的 完成皮肤丙酮传感器的优化，并将其集成到可穿戴设备中。球队 亚利桑那州立大学的研究人员将致力于必要的任务，以创建一个原型，用于在试点研究中进行测试。一 亚利桑那大学（UA）的医学科学专家团队将与传感器团队合作， 第一个原型。亚利桑那州立大学的传感器小组将开发、优化、构建和测试可穿戴传感器 分析仪同时，UA的临床专家和3 M公司的行业合作伙伴将向行业保证， 质量标准要求，并在设备及其用户界面中提供反馈。分析仪带来了 体重和多种疾病管理的前所未有的机会，因为不仅克服了目前的 障碍，而且还消除了患者对当前方法的负担， 需要个人跟踪体重、食物摄入量和活动，同时提供及时的干预反馈。

Abstract The ability to maintain a healthy body weight has become an increasingly common roadblock in modern medicine as extreme high or low weight can lead to and aggravate existing medical conditions. Achieving a healthy weight is often difficult for those who are overweight, obese or underweight since a great deal of food intake and exercise tracking is usually a requirement for effective weight targets. The accuracy and effectiveness of this process could be increased drastically if a real-time fat oxidation biomarker monitoring device were available. Recent clinical studies of fat oxidation by the team and others have demonstrated the importance of ketones as biomarkers with a great opportunity for those patients who need proactively concrete weight management interventions. In addition to eating disorders, conditions related to ketoacidosis, which is a well-known risk state for type 1 diabetes, or ketosis state, a high ketone level state induced by low carb / high fat diets used to manage several diseases (such as epilepsy, type 2 diabetes, cancer among many others) are in need of close ketone monitoring. Although ketones are FDA approved fat oxidation biomarkers, there are relatively few ketone-based sensors available for consumer use. Those that do exist are based on blood, urine and breath test and are one-point-in-time use, sometime inaccurate, or far too invasive for everyday use. As a result, a huge need exists for the development of a passive and non-invasive ketone sensor. One possible solution is to develop a sensor that displays real time data regarding the wearer’s fat oxidation by tracking the acetone permeated through the skin of the sensor’s wearer. Researchers at Arizona State University (ASU) have developed a sensor technology for passive detection of acetone that has shown accurately monitoring acetone. However, extensive work is necessary to complete the sensor optimization to sense skin acetone, and integrate the sensor into a wearable. The team of researchers at ASU will work on the necessary tasks to create a prototype for testing in a pilot study. A medical science expert team at University of Arizona (UA) will work together with the sensor team to develop the first prototype. The sensor group at ASU will develop, optimize, build and test the wearable sensor analyzer. Meanwhile, the clinical experts at UA and industry partners at 3M Company will assure industry quality standards requirements, and provide feedback in the device and its user interface. The analyzer brings an unprecedented opportunity for weight and multiple disease management, since not only overcomes current barriers from existing ketone sensors, but also eliminates the patient’s burden of current approaches, which require personal tracking of weight, food intake and activity, while providing timely intervention feedback.