PFI-AIR-TT: Wearable sleepwear for quantitative prognostication and noninvasive therapy of obstructive sleep apnea
PFI-AIR-TT:可穿戴睡衣,用于阻塞性睡眠呼吸暂停的定量预测和无创治疗
基本信息
- 批准号:1543226
- 负责人:
- 金额:$ 20万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2015
- 资助国家:美国
- 起止时间:2015-09-15 至 2019-02-28
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
This PFI: AIR Technology Translation project focuses on translating an advanced prediction and prognostics approach to fill the need for affordable and effective at-home solutions to treat sleep disorders. Sleep disorders such as obstructive sleep apnea (OSA) are prevalent in an estimated 6.6% of the national population. The market for sleep treatment is noted to exceed $23 billion per year, and is set to grow at over 15% annually. However the current treatment procedures suffer from severe drawbacks and are highly criticized in consumer forums. Recent advancements in sensors and wireless communication offer an unprecedented opportunity for cost-effective home care options to treat sleep apnea. This project will result in a prototype of SleepEaze technology that captures this opportunity. This technology is based on using a wireless biometric sleepwear to monitor the apnea patient's biorhythms during sleep, and it employs a patent-pending algorithm to predict apnea events several minutes ahead of their onset. Then the muscles responsible for the obstruction can be stimulated when the event is predicted to be imminent ("nip in the bud"), allowing the patient a more restful sleep. The use of the innovative prediction algorithm as well as low power electronic elements offer a breakthrough in the noninvasive stimulations that can lead to a new class of affordable wearable devices for sleep apnea treatment with high commercialization potential.This project plans to pursue three major objectives: (a) Technology Improvement, which includes: the refinement of the wearable sensor layout to enhance comfort, tuning of parameters of the prediction model based on nonparametric Dirichlet Process Mixture of Gaussian Process representations to reduce computational overhead associated with multi-step look ahead procedures, and optimization of the stimulation modality, location, and time-frequency stimulation profiles using a novel low power electronics to effectively avert sleep apnea events; (b) Extended testing using an early prototype, extending an ongoing human subject study to benchmark signal quality, prediction and stimulation performance, and sleep quality improvement from the technology in preparation for approvals (510K) from the federal regulatory agencies; and (c) Prototyping of a updated wearable multi-sensor unit for real-time treatment of sleep apnea episodes, as well as its testing and benchmarking. If successful, the proposed project will result in a functional, refined prototype of the SleepEaze device (hardware and associated software interface) that offers a radically new approach for OSA treatment. In addition, personnel involved in this project, including a post-doctoral associate and two graduate students, will receive entrepreneurship experiences offered through Texas A&M University and the NSF Southwest I-Corps node.
该PFI:AIR技术翻译项目专注于翻译先进的预测和预测方法,以满足对治疗睡眠障碍的经济有效的家庭解决方案的需求。阻塞性睡眠呼吸暂停(OSA)等睡眠障碍在全国人口中估计占6.6%。睡眠治疗市场每年超过230亿美元,并将以每年15%以上的速度增长。 然而,目前的处理程序有严重的缺点,并在消费者论坛上受到高度批评。传感器和无线通信的最新进展为治疗睡眠呼吸暂停的经济高效的家庭护理选择提供了前所未有的机会。该项目将产生一个抓住这一机会的SleepEaze技术原型。这项技术是基于使用无线生物识别睡衣来监测呼吸暂停患者在睡眠期间的生物节律,它采用了一种正在申请专利的算法来预测呼吸暂停事件发生前几分钟。然后,当预测事件即将发生时,可以刺激负责阻塞的肌肉(“扼杀在萌芽状态”),让患者获得更宁静的睡眠。创新的预测算法和低功耗电子元件的使用为无创刺激提供了突破,可以产生一种新型的可负担的可穿戴设备,用于治疗睡眠呼吸暂停,具有很高的商业化潜力。该项目计划追求三个主要目标:(a)技术改进,包括:可穿戴传感器布局的细化以增强舒适度,基于高斯过程表示的非参数Dirichlet过程混合来调整预测模型的参数以减少与多步前瞻过程相关联的计算开销,以及使用新颖的低功率电子器件来优化刺激模态、位置和时间-频率刺激分布,以有效地避免睡眠呼吸暂停事件;(B)使用早期原型的扩展测试,将正在进行的人类受试者研究扩展到基准信号质量、预测和刺激性能,和睡眠质量的改善,从技术准备批准(510 K)从联邦监管机构;以及(c)用于实时治疗睡眠呼吸暂停发作的更新的可穿戴多传感器单元的原型制作,以及其测试和基准测试。如果成功,拟议的项目将产生一个功能完善的SleepEaze设备原型(硬件和相关软件接口),为OSA治疗提供一种全新的方法。此外,参与该项目的人员,包括一名博士后助理和两名研究生,将获得通过得克萨斯A M大学和NSF西南I军团节点提供的创业经验。
项目成果
期刊论文数量(0)
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Satish Bukkapatnam其他文献
Pre-programing the glass transition temperature and transformation strain of shape memory polymers in fused deposition modeling process
- DOI:
10.1016/j.cirp.2024.04.067 - 发表时间:
2024-01-01 - 期刊:
- 影响因子:
- 作者:
Apostolis Argyros;Andreas K. Lianos;Dimitris Lagoudas;Nikolaos Michailidis;Satish Bukkapatnam - 通讯作者:
Satish Bukkapatnam
Machine Learning-Enhanced Prediction of Surface Smoothness for Inertial Confinement Fusion Target Polishing Using Limited Data
使用有限数据的机器学习增强惯性约束聚变目标抛光表面光滑度预测
- DOI:
10.48550/arxiv.2312.10553 - 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Antonios Alexos;Junze Liu;Akash Tiwari;Kshitij Bhardwaj;Sean Hayes;Pierre Baldi;Satish Bukkapatnam;S. Bhandarkar - 通讯作者:
S. Bhandarkar
Real-time monitoring of the spatiotemporal thermal state of fused filament fabrication process for shape memory polymers
- DOI:
10.1016/j.mfglet.2024.09.170 - 发表时间:
2024-10-01 - 期刊:
- 影响因子:
- 作者:
Andreas Lianos;Sneha Papineni;Dimitris Lagoudas;Satish Bukkapatnam - 通讯作者:
Satish Bukkapatnam
Detecting anomalous motions in ultraprecision shell-polishing process combining unsupervised spectral-band identification and Explainable-AI
结合无监督光谱带识别和可解释人工智能来检测超精密外壳抛光过程中的异常运动
- DOI:
10.1016/j.jmsy.2024.04.004 - 发表时间:
2024 - 期刊:
- 影响因子:12.1
- 作者:
Shashank Galla;Akash Tiwari;Saikiran Chary Nalband;Sean Hayes;Suhas Bhandarkar;Satish Bukkapatnam - 通讯作者:
Satish Bukkapatnam
Toward digitally twinning the process of creating machine controller digital twins – A G-code generation scenario
- DOI:
10.1016/j.mfglet.2024.09.182 - 发表时间:
2024-10-01 - 期刊:
- 影响因子:
- 作者:
Abhishek Hanchate;Akash Tiwari;Satish Bukkapatnam - 通讯作者:
Satish Bukkapatnam
Satish Bukkapatnam的其他文献
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{{ truncateString('Satish Bukkapatnam', 18)}}的其他基金
Localized Finishing of Freeform Geometries using Dynamic Magnetic Field-Manipulated Magneto-Viscoelastic Fluids
使用动态磁场操纵磁粘弹性流体对自由形状几何形状进行局部精加工
- 批准号:
1538501 - 财政年份:2016
- 资助金额:
$ 20万 - 项目类别:
Standard Grant
Characterization and Real Time Defect Mitigation in Chemical/Mechanical Polishing of Microelectronic Wafers Using Decision Theory and MultiSensor Fusion
使用决策理论和多传感器融合对微电子晶圆化学/机械抛光进行表征和实时缺陷缓解
- 批准号:
1437139 - 财政年份:2014
- 资助金额:
$ 20万 - 项目类别:
Standard Grant
Workshop: Advanced Manufacturing for the Oil and Gas Energy Industry; Houston, Texas; November 2014
研讨会:石油和天然气能源行业的先进制造;
- 批准号:
1450819 - 财政年份:2014
- 资助金额:
$ 20万 - 项目类别:
Standard Grant
I-Corps: SleepEez: Point-of-care sensor for prediction and prevention of sleep apnea
I-Corps:SleepEez:用于预测和预防睡眠呼吸暂停的护理点传感器
- 批准号:
1432920 - 财政年份:2014
- 资助金额:
$ 20万 - 项目类别:
Standard Grant
Atomistic Dynamics of Acoustic Emission (AE) Generation in Ultra-Precision Machining (UPM) for Incipient Anomaly Detection
用于早期异常检测的超精密加工 (UPM) 中声发射 (AE) 生成的原子动力学
- 批准号:
1432914 - 财政年份:2014
- 资助金额:
$ 20万 - 项目类别:
Standard Grant
I-Corps: SleepEez: Point-of-care sensor for prediction and prevention of sleep apnea
I-Corps:SleepEez:用于预测和预防睡眠呼吸暂停的护理点传感器
- 批准号:
1355765 - 财政年份:2013
- 资助金额:
$ 20万 - 项目类别:
Standard Grant
Atomistic Dynamics of Acoustic Emission (AE) Generation in Ultra-Precision Machining (UPM) for Incipient Anomaly Detection
用于早期异常检测的超精密加工 (UPM) 中声发射 (AE) 生成的原子动力学
- 批准号:
1301439 - 财政年份:2013
- 资助金额:
$ 20万 - 项目类别:
Standard Grant
I-Corps: HealthSmart Technical Development Plan
I-Corps:HealthSmart 技术开发计划
- 批准号:
1247523 - 财政年份:2012
- 资助金额:
$ 20万 - 项目类别:
Standard Grant
Characterization and Real Time Defect Mitigation in Chemical/Mechanical Polishing of Microelectronic Wafers Using Decision Theory and MultiSensor Fusion
使用决策理论和多传感器融合对微电子晶圆化学/机械抛光进行表征和实时缺陷缓解
- 批准号:
1000978 - 财政年份:2010
- 资助金额:
$ 20万 - 项目类别:
Standard Grant
SGER: Sequential Bayesian Decision Making for End-Point Detection and Control in Chemical Mechanical Planarization (CMP) Processes
SGER:化学机械平坦化 (CMP) 工艺中终点检测和控制的顺序贝叶斯决策
- 批准号:
0830023 - 财政年份:2008
- 资助金额:
$ 20万 - 项目类别:
Standard Grant
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