Time-Frequency Analysis of Biomedical Signals

生物医学信号的时频分析

• 批准号: 9110571
• 负责人: William Williams
• 金额: $ 13.28万
• 依托单位: Regents of the University of Michigan - Ann Arbor
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1991
• 资助国家: 美国
• 起止时间: 1991-09-15 至 1994-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9110571&HistoricalAwards=false
• 关键词: Time; Frequency; Analysis; Biomedical; Signals

This is a proposal to develop new and improved techniques that might be of special use in analyzing time-varying biological signals. The approach is to design appropriate kernels to be used in time-frequency representation of signals, a representation that is a generalization of the classical Fourier transform. The new method is expected to provide an improved description of signals whose characteristics vary with time. The proposed research will investigate the use of these techniques for the analysis of biomedical signals: EEG in epileptic patients, joint sounds in patients with joint problems, and evoked potentials in phobic patients. The research, if successful, will result in a set of new analytic techniques for characterizing signals, and the demonstration of the usefulness of these techniques for diagnostic purposes.

这是一项开发新的和改进的技术的建议， 可能在分析时变生物学中有特殊用途， 信号. 方法是设计适当的内核， 用于信号的时频表示， 这是经典傅立叶表示的推广 变换 新方法有望提供一种改进的 特征随时间变化的信号的描述。 的 拟议的研究将调查这些技术的使用 用于分析生物医学信号：癫痫患者的EEG 患者，关节问题患者的关节音，以及 恐惧症患者的诱发电位 研究，如果 成功，将导致一套新的分析技术， 表征信号，并证明 这些技术用于诊断目的。