I-Corps: SmartSpiro
I军团:SmartSpiro
基本信息
- 批准号:1443217
- 负责人:
- 金额:$ 5万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2014
- 资助国家:美国
- 起止时间:2014-07-01 至 2015-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Spirometry, the measurement of breath, is one of the commonly used tests in the diagnosis of pulmonary and respiratory illnesses. Today, patients can only have spirometry tests conducted at a clinic or a hospital's Pulmonary Function Test Lab. Since accurate spirometry requires an expert technician's guidance, all diagnostic spirometries can only be conducted at these locations. As a result, the wait times for spirometries are often long, e.g. 3 months in Houston and nearly impossible even in large towns in India. This research team will develop SmartSpiro, the first clinical grade portable spirometer that brings spirometry to the masses. The innovation in SmartSpiro is that it performs a role of a trained technician by algorithmically finding errors in spirometry, using a combination of signal processing and machine learning. Current prototype can already detect all the major spirometry errors with 94% accuracy and it will be improved as algorithms are further refined. In addition to error correction, to improve ease of use SmartSpiro for non-expert users, the team will be adding local language customization and spoken word feedback capabilities. They will also be designing customizable incentive-driven displays on the spirometer hardware to support better patient compliance. SmartSpiro aims to commercialize a device which caters to under-served patient segments and pulmonary conditions, e.g. developing countries in India, or rural areas in the developed countries like Houston. In addition, SmartSpiro's automated test capability will allow for use of spirometry outside of testing labs, and empower point-of-care pulmonary testing (e.g. at the patient?s bedside) which is currently infeasible using current spirometry technology.
肺量测定法,即呼吸的测量,是诊断肺部和呼吸系统疾病的常用测试之一。 今天,患者只能在诊所或医院的肺功能测试实验室进行肺功能测试。由于准确的肺量测定需要专业技术人员的指导,所有诊断性肺量测定只能在这些地点进行。因此,肺量测定的等待时间通常很长,例如在休斯顿需要3个月,即使在印度的大城镇也几乎不可能。 该研究团队将开发SmartSpiro,这是第一款临床级便携式肺量计,将肺量计带给大众。 SmartSpiro的创新之处在于,它通过使用信号处理和机器学习的组合,通过算法查找肺活量测定中的错误,来扮演训练有素的技术人员的角色。目前的原型已经可以以94%的准确度检测到所有主要的肺活量测定错误,并且随着算法的进一步完善,它将得到改进。除了纠错之外,为了提高非专业用户使用SmartSpiro的易用性,该团队还将增加本地语言定制和口语反馈功能。他们还将在肺活量计硬件上设计可定制的激励驱动显示器,以支持更好的患者依从性。SmartSpiro旨在将一种设备商业化,以满足服务不足的患者群体和肺部疾病,例如印度的发展中国家或休斯顿等发达国家的农村地区。此外,SmartSpiro的自动化测试功能将允许在测试实验室之外使用肺功能测定,并支持即时肺部测试(例如,在患者身上?床边),这是目前使用当前的肺活量测定技术不可行的。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Ashutosh Sabharwal其他文献
Scheduling and Power Allocation Dampens the Negative Effect of Channel Misreporting in Massive MIMO
调度和功率分配可减轻大规模 MIMO 中信道误报的负面影响
- DOI:
10.1109/tnet.2020.3014630 - 发表时间:
2020-08 - 期刊:
- 影响因子:0
- 作者:
张战战;孙引;Ashutosh Sabharwal;陈智勇;夏斌 - 通讯作者:
夏斌
RACER: An LLM-powered Methodology for Scalable Analysis of Semi-structured Mental Health Interviews
RACER:一种由法学硕士支持的方法,用于半结构化心理健康访谈的可扩展分析
- DOI:
10.48550/arxiv.2402.02656 - 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Satpreet H Singh;Kevin Jiang;Kanchan Bhasin;Ashutosh Sabharwal;N. Moukaddam;Ankit B. Patel - 通讯作者:
Ankit B. Patel
Dyadic Interaction Assessment from Free-living Audio for Depression Severity Assessment
用于抑郁严重程度评估的自由生活音频的二元交互评估
- DOI:
10.21437/interspeech.2022-11129 - 发表时间:
2022 - 期刊:
- 影响因子:0
- 作者:
Bishal Lamichhane;N. Moukaddam;Ankit B. Patel;Ashutosh Sabharwal - 通讯作者:
Ashutosh Sabharwal
Evaluating HbA1c-to-average glucose conversion with patient-specific kinetic models for diverse populations
使用针对不同人群的患者特异性动力学模型评估糖化血红蛋白(HbA1c)与平均血糖的转换
- DOI:
10.1038/s41598-024-72837-7 - 发表时间:
2024-09-27 - 期刊:
- 影响因子:3.900
- 作者:
Sandra Emi Sato Imuro;Ashutosh Sabharwal;Wendy Bevier;David Kerr - 通讯作者:
David Kerr
Principles for virtual health care to deliver real equity in diabetes.
实现糖尿病真正公平的虚拟医疗保健原则。
- DOI:
10.1016/s2213-8587(21)00176-5 - 发表时间:
2021 - 期刊:
- 影响因子:0
- 作者:
D. Kerr;Ashutosh Sabharwal - 通讯作者:
Ashutosh Sabharwal
Ashutosh Sabharwal的其他文献
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{{ truncateString('Ashutosh Sabharwal', 18)}}的其他基金
Collaborative Research: CNS Core: Large: 4D100: Foundations and Methods for City-scale 4D RF Imaging at 100+ GHz
合作研究:CNS 核心:大型:4D100:100 GHz 城市规模 4D 射频成像的基础和方法
- 批准号:
2215082 - 财政年份:2022
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
Collaborative Research: CNS Core: Medium: Information Freshness in Scalable and Energy Constrained Machine to Machine Wireless Networks
合作研究:CNS 核心:中:可扩展且能量受限的机器对机器无线网络中的信息新鲜度
- 批准号:
2106993 - 财政年份:2021
- 资助金额:
$ 5万 - 项目类别:
Continuing Grant
Collaborative Research: CCRI: New: RFDataFactory: Principled Dataset Generation, Sharing and Maintenance Tools for the Wireless Community
合作研究:CCRI:新:RFDataFactory:无线社区的原则性数据集生成、共享和维护工具
- 批准号:
2120363 - 财政年份:2021
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
Collaborative Research: Computational Photo-Scatterography: Unraveling Scattered Photons for Bio-Imaging
合作研究:计算光散射术:解开生物成像的散射光子
- 批准号:
1730574 - 财政年份:2018
- 资助金额:
$ 5万 - 项目类别:
Continuing Grant
I-Corps: Non-invasive Camera-based Blood Perfusion Imaging
I-Corps:基于相机的非侵入性血液灌注成像
- 批准号:
1747692 - 财政年份:2017
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
MRI: Development of ScaleMed: A Platform for Scalable mHealth Research and Development
MRI:ScaleMed 的开发:可扩展的移动医疗研究和开发平台
- 批准号:
1429047 - 财政年份:2014
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
NeTS: Large: Collaborative Research: Foundations of Hierarchical Full-Duplex Wireless Networks
NeTS:大型:协作研究:分层全双工无线网络的基础
- 批准号:
1314822 - 财政年份:2013
- 资助金额:
$ 5万 - 项目类别:
Continuing Grant
Student Travel Support for mHealthSys 2012
mHealthSys 2012 学生旅行支持
- 批准号:
1258389 - 财政年份:2012
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
NeTS: Medium: Collaborative Research: Information Architectures for Femto-Aided Cellular Networks
NeTS:媒介:协作研究:毫微微辅助蜂窝网络的信息架构
- 批准号:
1161596 - 财政年份:2012
- 资助金额:
$ 5万 - 项目类别:
Continuing Grant
EAGER: Collaborative Research: CIF: Exploring the Fundamentals of Multihop Multiflow Wireless Networks
EAGER:协作研究:CIF:探索多跳多流无线网络的基础知识
- 批准号:
1144041 - 财政年份:2011
- 资助金额:
$ 5万 - 项目类别:
Standard Grant