I-Corps: Lymphedema Intervention Exercise for Breast Cancer Survivors
I-Corps:乳腺癌幸存者的淋巴水肿干预运动
基本信息
- 批准号:1740385
- 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:2017
- 资助国家:美国
- 起止时间:2017-03-15 至 2018-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The broader impact/commercial potential of this I-Corps project is its benefit for millions of individuals who are at risk for or have developed chronic lymphedema, including patients who have been treated for breast cancer and other cancers (head and neck, prostate, melanoma, gynaecological cancer). Lymphedema is a progressive and chronic swelling with many distressful symptoms after cancer treatment. Each year, 1.38 million women worldwide and more than 230,000 women in the US are diagnosed with breast cancer. At least 20-40% of breast cancer survivors have developed lymphedema and the rest of them are at lifelong risk for lymphedema. This project further develops a lymphatic therapy effective in reducing the risk of lymphedema and relieving lymphedema symptoms for breast cancer survivors. The approach may potentially be applied more broadly to individuals with chronic heart failure, end-stage renal disease and hypertension with similar abnormal fluid accumulation symptoms.This I-Corps project explores the commercial potential of a lymphatic therapy. The core technology consists of a physical therapy system that can automatically and accurately track a patient's movement and evaluate it against the desired movement. The system provides instant feedback on whether a patient is performing an exercise correctly and how should the patient make adjustments in their movement. Furthermore, the system will be designed to motivate the patient to perform the therapy correctly and regularly. The system will leverage the novel computer vision and machine learning algorithms being developed in an on-going research project in order to overcome the sensor constraints in detecting joint positions and the significant variability of the normal range of the desired movement, which are the major technical obstacles faced by current sensor-based physical therapy systems.
这个I-Corps项目的更广泛的影响/商业潜力是它对数百万有慢性水肿风险或已患慢性水肿的人的益处,包括已接受乳腺癌和其他癌症(头颈部、前列腺、黑色素瘤、妇科癌症)治疗的患者。淋巴水肿是癌症治疗后出现的一种进行性慢性肿胀,并伴有许多令人痛苦的症状。每年,全世界有138万女性和美国超过23万女性被诊断患有乳腺癌。至少有20-40%的乳腺癌幸存者患有水肿,其余的人终身都有患水肿的风险。该项目进一步开发了一种淋巴疗法,可有效降低乳腺癌幸存者的水肿风险并缓解水肿症状。这种方法可能会更广泛地应用于慢性心力衰竭、终末期肾病和高血压患者,这些患者具有类似的异常液体积聚症状。 核心技术包括一个物理治疗系统,可以自动准确地跟踪患者的运动,并根据所需的运动进行评估。该系统提供即时反馈,以了解患者是否正确进行锻炼,以及患者应如何调整运动。 此外,该系统将被设计为激励患者正确和定期进行治疗。该系统将利用正在进行的研究项目中开发的新型计算机视觉和机器学习算法,以克服检测关节位置的传感器限制和所需运动正常范围的显著变化,这是当前基于传感器的物理治疗系统面临的主要技术障碍。
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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Yao Wang其他文献
Complete genome sequence of the drought resistance-promoting endophyte Klebsiella sp. LTGPAF-6F
促进抗旱的内生菌克雷伯氏菌的完整基因组序列。
- DOI:
10.1016/j.jbiotec.2017.02.008 - 发表时间:
2017 - 期刊:
- 影响因子:0
- 作者:
Lei Zhang;Jun Zhong;Hao Liu;Kaiyun Xin;Chaoqiong Chen;Qiqi Li;Yahong Wei;Yao Wang;Fei Chen;Xihui Shen - 通讯作者:
Xihui Shen
Scarcity-weighted fossil fuel footprint of China at the provincial level
中国省级稀缺加权化石燃料足迹
- DOI:
10.1016/j.apenergy.2019.114081 - 发表时间:
2020 - 期刊:
- 影响因子:11.2
- 作者:
Heming Wang;Guoqiang Wang;Jianchuan Qi;Heinz Sch;l;Yumeng Li;Cuiyang Feng;Xuechun Yang;Yao Wang;Xinzhe Wang;Sai Liang - 通讯作者:
Sai Liang
A New Method for Revealing Traffic Patterns in Video Surveillance using a Topic Model
- DOI:
10.14569/ijacsa.2023.0141194 - 发表时间:
2023 - 期刊:
- 影响因子:0.9
- 作者:
Yao Wang - 通讯作者:
Yao Wang
The Human Reliability Analysis in Level 2 PSA Using SPAR-H Method
- DOI:
10.4028/www.scientific.net/amr.608-609.848 - 发表时间:
2012-12 - 期刊:
- 影响因子:0
- 作者:
Yao Wang - 通讯作者:
Yao Wang
A low-voltage high-swing colpitts VCO with Inherent tapped capacitors based dynamic body bias technique
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- DOI:
10.1109/iscas.2017.8050374 - 发表时间:
2017 - 期刊:
- 影响因子:0
- 作者:
Jun Chen;Benqing Guo;Fading Zhao;Yao Wang;G. Wen - 通讯作者:
G. Wen
Yao Wang的其他文献
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{{ truncateString('Yao Wang', 18)}}的其他基金
EAGER-QAC-QSA: Quantum Algorithms for Correlated Electron-Phonon System
EAGER-QAC-QSA:相关电子声子系统的量子算法
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2337930 - 财政年份:2023
- 资助金额:
$ 5万 - 项目类别:
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CRCNS Research Proposal: Novel computational approaches for neural speech prostheses and causal dynamics of language processing
CRCNS 研究提案:神经语音假体和语言处理因果动力学的新型计算方法
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2309057 - 财政年份:2023
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
EAGER-QAC-QSA: Quantum Algorithms for Correlated Electron-Phonon System
EAGER-QAC-QSA:相关电子声子系统的量子算法
- 批准号:
2038011 - 财政年份:2021
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
CRCNS Research Proposal: Understanding Cortical Networks Related to Speech Using Deep Learning on ECOG Data
CRCNS 研究提案:利用 ECOG 数据的深度学习了解与语音相关的皮层网络
- 批准号:
1912286 - 财政年份:2019
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
CIF: Small: High Resolution EEG Signal Analysis for Seizure Detection and Treatment
CIF:小型:用于癫痫检测和治疗的高分辨率脑电图信号分析
- 批准号:
1422914 - 财政年份:2014
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
CISE Research Instrumentation: Integrated Video Encoding and Networking
CISE 研究仪器:集成视频编码和网络
- 批准号:
9730028 - 财政年份:1998
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
STIMULATE: Video Scene Segmentation and Classification Using Motion Information
刺激:使用运动信息进行视频场景分割和分类
- 批准号:
9619114 - 财政年份:1997
- 资助金额:
$ 5万 - 项目类别:
Continuing Grant
Teaching of Multimedia Information Processing & Communications
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9650586 - 财政年份:1996
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Standard Grant
RIA: Object-Oriented Motion Decomposition and Estimation with Application to Low-Bit-Rate Video Coding
RIA:面向对象的运动分解和估计及其在低比特率视频编码中的应用
- 批准号:
9211481 - 财政年份:1992
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
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