课题基金 / 基金详情

项目摘要

项目成果

Tony Chris Carnes的其他基金

相似基金

相关文献

中文摘要
翻译
项目摘要 在美国,大约有835,000人生活在辅助生活设施中,其中超过50% 患有某种形式的痴呆症或认知障碍的人。生活在援助中的人的平均费用 生活设施费用为每月4 050加元,而记忆保健费用平均每月增加1 250加元。 多奈哌齐、加兰他敏和卡巴拉汀等药物的进展已被证明有帮助 管理甚至逆转一些痴呆症症状,但这些药物是无效的,除非他们是 定期服用。减缓痴呆症的进展可以延长人的生存能力 独立地。虽然使用泡罩包装和药盒的目的是帮助确保患者服用 药物处方的基础上,这些技术报告的意图摄取,往往不提供任何 可以被家庭以外的其他人监控的反馈。鉴于5300万美国公民已经过去 退休年龄和70%的人将需要某种形式的长期护理,很明显, 除非采取替代解决办法,否则管理这一疾病的费用将继续增加。 在赠款的第一阶段,我们建议通过建立一个基于家庭的 摄取监测系统,其可以检测家中的药物摄取,而不是要求用户 戴上身份识别帽ID帽系统目前被设计为通过发送一个小的 当一个人的胃内的无线电信号的身份帽被吞下。现有的系统检测到这些 信号使用挂绳式阅读器。由于这些患者可能会忘记使用阅读器,我们建议创建一个 新的阅读器设计,可以"听到"摄取从整个房间使用天线设计的改进 和信号处理。为了确保检测到患者是否在不同的房间服药,网状网络 放置在家中的阅读器可以确保信号被检测到并转发到现有的基于云的 监控平台在第一阶段,我们提出两个具体目标。 目标1-创建一个基于网络阅读器的原型 利用我们开发现有ID-Cap可穿戴阅读器的经验,我们将设计新一代 读取器,其将能够检测房间内的异物,而不需要用户佩戴读取器。的 捕获的信号将通过网状网络转发到基站,以确保传输到云 这样,护理人员就可以监控实际的摄入事件,并在需要时进行干预。 目标2-在3个模拟环境中评价新系统的有效性和可接受性 使用原型基站和联网的阅读器,我们将评估三个方面的信号检测能力。 不同的家庭配置。此反馈将有助于通知安装配置设计, 最佳数量和位置的读者。与痴呆症患者及其照顾者的访谈将提供信息, 可接受性
英文摘要
PROJECT SUMMARY In the US, approximately 835,000 persons are living in assisted living facilities with more than 50 percent of those having some form of dementia or cognitive impairment. The average cost of those living in assisted living facilities is $4050 per month, with memory care increasing this cost by an average of $1250 per month. Advancements in medications such as Donepezil, Galantamine, and Rivastigmine have been shown to help manage and even reverse some dementia symptoms, but these medications are not effective unless they are taken on a regular basis. Slowing the progression of dementia can prolong the ability of persons to live independently. While the use of blister packs and pill boxes are designed to help ensure that patients are taking medications on a prescribed basis, these technologies report intent to ingest and often do not provide any feedback that can be monitored by others outside the home. Given that 53 million US citizens are already past retirement age and that 70 percent will require some form of long-term care in their lifetime, it is clear that the cost of managing this disease will continue to grow unless alternative solutions are put in place. In Phase I of the grant we propose to enhance the FDA cleared ID-Cap system by building a home-based ingestion monitoring system that can detect medication ingestions within the home instead of requiring a user to wear an ID-Cap Reader. The ID-Cap system is currently designed to detect ingestions by sending out a small radio signal from within a person's stomach when an ID-Cap is ingested. The existing system detects these signals using a lanyard-style reader. As these patients may forget to use the reader, we propose to create a new reader design that can “hear” the ingestion from across the room using improvements in antenna design and signal processing. To ensure detection if a patient takes their medication in different rooms, a mesh network of readers placed in the home can ensure that the signal is detected and forwarded to the existing cloud-based monitoring platform. In Phase I, we propose two specific aims. Aim 1 – Create a prototype wall-plug based networked reader Leveraging our experience developing the existing ID-Cap wearable reader, we will design a new generation reader that will be able to detect ingestions within a room instead of requiring the user to wear a reader. The captured signals will be forwarded across a mesh network to a base station that ensures delivery to a cloud repository so that care providers can monitor actual ingestion events and intervene if needed. Aim 2 – Evaluate effectiveness and acceptability of the new system in 3 simulated environments Using the prototyped base station and networked readers, we will evaluate the ability to detect signals in three different home configurations. This feedback will help inform installation configuration designs regarding the optimal number and placement of readers. Interviews with persons with dementia and their caregivers will inform acceptability.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Fast-Track Multimodal monitoring for neonatal neurocritical care
  • 批准号:
    10601201
  • 项目类别:
  • 资助金额:
    $26.04万
  • 财政年份:
    2023
  • 负责人:
    Tony Chris Carnes
  • 依托单位:
ID-Cap System: Next generation ingestible sensors for medication adherence measurement
  • 批准号:
    10475453
  • 项目类别:
  • 资助金额:
    $25.93万
  • 财政年份:
    2022
  • 负责人:
    Tony Chris Carnes
  • 依托单位:
海外基金