Biomedical Signal Analysis: Contemporary Methods and Applications
生物医学信号分析:当代方法和应用
基本信息
- 批准号:8307922
- 负责人:
- 金额:$ 3.98万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2010
- 资助国家:美国
- 起止时间:2010-09-30 至 2013-09-29
- 项目状态:已结题
- 来源:
- 关键词:AddressAttentionBooksCommunitiesContractsDiagnosisDiseaseFosteringFrequenciesGoalsHealthy People 2010Imaging TechniquesLiteratureMedicalMethodsModelingMonographPlayProcessReference BooksResearch PersonnelResourcesRoleSignal TransductionTherapeuticTimeWritingbasecomputerized data processingexperiencefunctional genomicsimprovedinformation processingnovelnovel strategiesprogramssoundtoolweb site
项目摘要
The objective of this project is to write a monograph titled "Biomedical Signal Analysis: Contemporary Methods and Applications" already contracted with the MIT Press. There is a need to compile in a single resource the vast range of signal analysis concepts, imaging techniques, exploratory multivariate methods, signaling networks and their interfaces with therapeutics, as well as examples in expression-based functional genomics, in an exposition that emphasizes the coherence of the field of biomedical signal processing. To date, no such resource exists in the literature. The proposed monograph, accompanied by a CD with programming examples, addresses this need. It will present a complete range of proven and new methods, which play a leading role in the improvement of the biomedical signal quality as well as the analysis and interpretation, in the modern medical signals of this decade. These methods are related to one of the overarching goals of Healthy People 2010, in that they address issues related to an improved diagnosis of major diseases.
The emphasis of the book lies in the compilation and organization of a breadth of new approaches, modeling, and applications from information processing relevant to biosignal modeling, and thus will be complementary to existing books on biomedical signal analysis, which primarily focus on time-frequency representations and feature extraction. It will receive wide-spread attention in an interdisciplinary scientific community: for those new to the field as a novel synthesis and a unique reference tool for experienced researchers. Different audiences can benefit from the proposed monograph: the book aims not only to synthesize the disparate literature of this fast moving field, but, in doing so, to foster new perspectives, new questions, and a broader understanding of the mechanisms of biosignal processing. On-line resources such as CD and hyperlinks will be provided. A website will be constructed to serve as a complete guide to relevant related resources and will also contain methodological guidance for the use of the reference material. These features are invaluable for a sound reference book.
该项目的目标是撰写一本题为“生物医学信号分析:当代方法和应用”的专着,该专着已与麻省理工学院出版社签约。需要在单一资源中汇编大量的信号分析概念、成像技术、探索性多变量方法、信号网络及其与治疗的接口,以及基于表达的功能基因组学的示例,并强调生物医学信号处理领域的一致性。迄今为止,文献中尚不存在此类资源。拟议的专着以及附有编程示例的 CD 满足了这一需求。它将展示一整套经过验证的新方法,这些方法在本十年现代医学信号的生物医学信号质量的提高以及分析和解释方面发挥着主导作用。这些方法与“2010 年健康人民”的总体目标之一相关,因为它们解决了与改进重大疾病诊断相关的问题。
本书的重点在于汇编和组织了与生物信号建模相关的信息处理的一系列新方法、建模和应用,因此将补充现有的生物医学信号分析书籍,这些书籍主要关注时频表示和特征提取。它将在跨学科科学界受到广泛关注:对于那些刚进入该领域的人来说,它是一种新颖的综合,对于经验丰富的研究人员来说,它是一种独特的参考工具。不同的读者可以从拟议的专着中受益:本书的目的不仅是综合这个快速发展领域的不同文献,而且在此过程中培养新的观点、新的问题以及对生物信号处理机制的更广泛的理解。将提供 CD 和超链接等在线资源。将建立一个网站,作为相关资源的完整指南,并包含参考材料使用的方法指导。这些功能对于一本可靠的参考书来说是无价的。
项目成果
期刊论文数量(0)
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ANKE ANKE_MEYER-BAESE MEYER-BAESE的其他文献
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{{ truncateString('ANKE ANKE_MEYER-BAESE MEYER-BAESE', 18)}}的其他基金
Biomedical Signal Analysis: Contemporary Methods and Applications
生物医学信号分析:当代方法和应用
- 批准号:
7766178 - 财政年份:2010
- 资助金额:
$ 3.98万 - 项目类别:
Biomedical Signal Analysis: Contemporary Methods and Applications
生物医学信号分析:当代方法和应用
- 批准号:
8145191 - 财政年份:2010
- 资助金额:
$ 3.98万 - 项目类别:
CAD in Breast MRI based on Biological Neural Network
基于生物神经网络的乳腺MRI CAD
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6875352 - 财政年份:2005
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$ 3.98万 - 项目类别:
CAD in Breast MRI based on Biological Neural Network
基于生物神经网络的乳腺MRI CAD
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7283001 - 财政年份:2005
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CAD in Breast MRI based on Biological Neural Network
基于生物神经网络的乳腺MRI CAD
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7123824 - 财政年份:2005
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CAD in Breast MRI based on Biological Neural Network
基于生物神经网络的乳腺MRI CAD
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