Adaptive Thermal Management for Next-Generation Implantable Devices
Adaptive Thermal Management for Next-Generation Implantable Devices
批准号:
1711447
负责人:
Ying Zhang
金额:
$33.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-07-15 至 2022-06-30
中文摘要
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英文摘要
As the electronics shrink in size and system-on-chips become more efficient, smart, complex, and functionally capable, implantable medical devices are emerging as the desired, and in many cases, the only viable therapeutic solutions for some of the most serious drug refractory (i.e. resistant to treatment by medication) types of chronic illnesses, such as Parkinson's disease, chronic pain, epilepsy, and diabetes, which prevalence is rapidly increasing in the aging industrial societies. However, with increasing functionalities and associated complexities of implantable medical devices, potential thermal damage to tissues around the implants becomes a new challenge facing the industry since exposing the surrounding tissue of a biomedical implant to a temperature above the safe limits can cause irreversible damage in the long run, similar to the detrimental effects of a long lasting fever. Real-time thermal management, as proposed in this project, can enable the emerging implantable medical devices of the future to achieve significant improvement in efficacy, functionality, and performance, while providing an additional safety mechanism for the recipients in the lifetime of a device. This research project aims to establish the theoretical foundation and applied framework of adaptive thermal management for the next generation high-performance implantable medical devices with growing functionalities and associated complexities. This project consists of five main research components: (1) creating computationally efficient models to capture thermal dynamics in various types of tissues for real-time thermal management in implantable medical devices; (2) investigating the thermal impact, and establishing guidelines on thermal modeling and management for implantable medical devices under different operation conditions; (3) developing an adaptive thermal management framework that enables safe and smart operation of the high-performance implantable medical devices; (4) developing a test vehicle for comprehensive evaluation of the thermal management algorithms; and (5) evaluating the developed models and thermal management framework through in vitro experiments in an environment that closely resembles the human body and its blood perfusion using phantoms filled with circulating tissue-simulant fluids. This project will significantly advance the understanding of thermal impact of the high-performance implantable medical devices, and enable the smart and safe operation of the next-generation implantable medical devices with growing functionalities and associated complexities. In addition, the thermal management framework can be adapted to applications using closed-loop implantable medical device systems to monitor a patient's disease state and modulate the delivery of therapeutic drugs or stimuli, which is another strong emerging technical area, as well as other applications with thermal concerns. The educational components of this project comprise a model designed for a multiyear, multidisciplinary undergraduate research team to attract and retain students, and stimulate their research interests by strategically managing the team and assigning tasks to individuals, in addition to providing research opportunities and mentoring for graduate students.
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A Performance Comparison of LSTM and Recursive SID Methods in Thermal Modeling of Implantable Medical Devices
植入式医疗器械热建模中 LSTM 和递归 SID 方法的性能比较
DOI:
10.1109/ccta41146.2020.9206293
发表时间:
2020
期刊:
2020 IEEE Conference on Control Technology and Applications (CCTA
影响因子:
--
作者:
[Ermis, Ayca, Zhou, Mi, Lai, Yen-Pang, Zhang, Ying]
通讯作者:
Zhang, Ying
Online Thermal Effect Modeling and Prediction of Implantable Devices
植入式设备的在线热效应建模和预测
DOI:
10.1109/jsen.2020.3025874
发表时间:
2021
期刊:
IEEE Sensors Journal
影响因子:
4.3
作者:
[Chai, Ruizhi, Zhang, Ying]
通讯作者:
Zhang, Ying
Online Predictive Modeling of the Thermal Effect of Bio-Implants With Spatially Distributed Parameters
具有空间分布参数的生物植入物热效应的在线预测建模
DOI:
10.1109/jsen.2020.3020753
发表时间:
2021
期刊:
IEEE Sensors Journal
影响因子:
4.3
作者:
[Ermis, Ayca, Lai, Yen-Pang, Zhang, Ying]
通讯作者:
Zhang, Ying
DOI:
10.1109/biocas.2018.8584818
发表时间:
2018
期刊:
Proc. of the 2018 IEEE Biomedical Circuits and Systems Conference (BIOCAS 2018
影响因子:
--
作者:
[Chai, Ruizhi, Lai, Yen-Pang, Sun, Wen, Ghovanloo, Maysam, Zhang, Ying]
通讯作者:
Zhang, Ying
DOI:
10.1109/jsen.2018.2879427
发表时间:
2019-02
期刊:
IEEE Sensors Journal
影响因子:
4.3
作者:
[Ruizhi Chai;Ying Zhang]
通讯作者:
Ruizhi Chai;Ying Zhang
共 8 条
RII Track-4: Visualization of Host-Microbe Interactions using CLASI-FISH
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批准号:1929078
-
项目类别:Standard Grant
-
资助金额:$26.1万
-
财政年份:2020
-
负责人:Ying Zhang
-
依托单位:
Collaborative Research: MEMONET: Understanding memory in neuronal networks through a brain-inspired spin-based artificial intelligence
-
批准号:1939992
-
项目类别:Continuing Grant
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资助金额:$39.96万
-
财政年份:2019
-
负责人:Ying Zhang
-
依托单位:
Collaborative Research: Physiological Plasticity and Response of Benthic Foraminifera to Oceanic Deoxygenation
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批准号:1557566
-
项目类别:Standard Grant
-
资助金额:$10.39万
-
财政年份:2016
-
负责人:Ying Zhang
-
依托单位:
CAREER: Integrated Annotation and Comparative Analysis of Metabolic Models
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批准号:1553211
-
项目类别:Continuing Grant
-
资助金额:$76.98万
-
财政年份:2016
-
负责人:Ying Zhang
-
依托单位:
CAREER: Adaptive Power Management for Supercapacitor-Operated Sustainable Wireless Sensor Networks
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批准号:1253390
-
项目类别:Standard Grant
-
资助金额:$44.47万
-
财政年份:2013
-
负责人:Ying Zhang
-
依托单位:
GOALI: Platinum-Enriched Gamma + Gamma Prime Bond Coats for Next-Generation Single-Crystal Superalloys
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批准号:0504566
-
项目类别:Continuing Grant
-
资助金额:$33.15万
-
财政年份:2005
-
负责人:Ying Zhang
-
依托单位:
国内基金
海外基金
Thermal-lag自由活塞斯特林发动机启动与可持续运行机理研究
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批准号:51806227
-
项目类别:青年科学基金项目
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资助金额:24.0万元
-
批准年份:2018
-
负责人:牟健
-
依托单位: