Time-Frequency Analysis of Biomedical Signals

这是一项开发新的和改进的技术的建议，这些技术可能在分析时变的生物信号时特别有用。该方法是设计适当的核来用于信号的时频表示，该表示是经典傅立叶变换的推广。新方法有望对特征随时间变化的信号提供更好的描述。这项拟议的研究将调查使用这些技术来分析生物医学信号：癫痫患者的脑电，关节问题患者的关节声音，以及恐惧症患者的诱发电位。这项研究如果成功，将产生一套新的分析技术来表征信号，并证明这些技术在诊断目的上的实用性。

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.