Biomedical Signal Analysis: Contemporary Methods and Applications

描述(由申请人提供)： 这个项目的目标是写一本已经与麻省理工学院出版社签约的题为《生物医学信号分析：当代方法和应用》的专著。在强调生物医学信号处理领域的一致性的论述中，需要在单一资源中汇编广泛的信号分析概念、成像技术、探索性多变量方法、信号网络及其与治疗学的接口，以及基于表达的功能基因组学中的例子。到目前为止，文献中还没有这样的资源。拟议的专著，并附有一张载有编程实例的光盘，以满足这一需要。它将提供一整套经过验证的新方法，在这十年的现代医学信号中，在提高生物医学信号质量以及分析和解释方面发挥主导作用。这些方法与2010年《健康人》的总体目标之一有关，因为它们解决了与改进重大疾病诊断有关的问题。 这本书的重点在于汇编和组织广泛的新方法，建模，以及与生物信号建模相关的信息处理应用，因此将补充现有的生物医学信号分析书籍，这些书籍主要集中在时间-频率表示和特征提取上。它将受到跨学科科学界的广泛关注：对于那些刚进入该领域的人来说，它是一种新颖的综合方法，也是经验丰富的研究人员的独特参考工具。不同的受众可以从提议的专著中受益：这本书的目的不仅是综合这个快速发展的领域的不同文献，而且在这样做的同时，培养新的视角、新的问题和对生物信号处理机制的更广泛的理解。将提供光盘和超链接等在线资源。将建立一个网站，作为有关相关资源的完整指南，并将包含有关参考材料使用方法的指导。对于一本完善的参考书来说，这些功能是无价的。

DESCRIPTION (provided by applicant): 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.