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Portland State University

Theses/Dissertations

Evoked potentials (Electrophysiology)

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Full-Text Articles in Engineering

Erp Analysis Using Matched Filtering, Correlation Coefficient And Mann-Whitney Test, Yun Yan Jan 1997

Erp Analysis Using Matched Filtering, Correlation Coefficient And Mann-Whitney Test, Yun Yan

Dissertations and Theses

Event related potentials (ERPs) carry very important information that relate to the performance of the brain functions of a human being. Further studies have identified that the late positive complex (LPC) are affected by the memory process.

The matched filter method is used to improve the signal -to-noise ratio of signal ERPs. We use the output of the matched filter to distinguish the difference of the waveforms. In our study, we found that the peak values of the matched filter output differed among normal subjects and memory-impaired subjects.

The correlation coefficient is a statistical value that can be applied to …


Erp Analysis Using Matched Filtering And Wavelet Transform, Xueming Lin Nov 1994

Erp Analysis Using Matched Filtering And Wavelet Transform, Xueming Lin

Dissertations and Theses

Event related potentials (ERP's) carry very important information that relates to the performance of the brain functions of the human being. Further studies have identified that one component, in particular, P300, is affected by the memory process. Matched filter is used to improved the SNR of signal ERP's. We use the output of the matched filter to distinguish the difference of the waveforms between normal subjects and memory-impaired subjects. In our study, we found that the peak values of the matched filtering output were different between normal subjects and memoryimpaired subjects. Also, as an application, wavelet transform is …


Pattern Recognition And Erp Waveform Analysis Using Wavelet Transform, Hong Qi Nov 1993

Pattern Recognition And Erp Waveform Analysis Using Wavelet Transform, Hong Qi

Dissertations and Theses

Wavelet transform provides an alternative to the classical Short-Time Fourier Transform (STFT). In contrast to the STFT, which uses a single analysis window, the Wavelet Transform uses shorter windows at higher frequencies and longer windows at lower frequencies. For some particular wavelet functions, the local maxima of the wavelet transform correspond to the sharp variation points of the signal. As an application, wavelet transform is introduced to the character recognition. Local maximum of wavelet transform is used as a local feature to describe character boundary. The wavelet method performs well in the presence of noise. The maximum of wavelet transform …