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Morteza Moazami-Goudarzi

Researcher at Amirkabir University of Technology

Publications -  9
Citations -  495

Morteza Moazami-Goudarzi is an academic researcher from Amirkabir University of Technology. The author has contributed to research in topics: Wavelet transform & Wavelet. The author has an hindex of 8, co-authored 9 publications receiving 445 citations. Previous affiliations of Morteza Moazami-Goudarzi include University of Zurich & ETH Zurich.

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Temporo-insular enhancement of EEG low and high frequencies in patients with chronic tinnitus. QEEG study of chronic tinnitus patients

TL;DR: In this article, the authors investigated deviations from the norm of different resting EEG parameters in patients suffering from chronic tinnitus and found that the generators of delta, theta, alpha and beta power increases were localized dominantly to left auditory (Brodmann Areas (BA) 41,42, 22), temporo-parietal, insular posterior, cingulate anterior and parahippocampal cortical areas.
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EEG alpha distinguishes between cuneal and precuneal activation in working memory

TL;DR: The role of alpha power (8-13 Hz) during working memory (WM) retention has remained unclear as mentioned in this paper, however, it has been shown that alpha power in parietal electrode Pz showed a mean increase during retention as compared to prestimulus fixation (event-related synchronization, ERS).
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Enhanced frontal low and high frequency power and synchronization in the resting EEG of parkinsonian patients

TL;DR: In this article, the authors compared spectral parameters of the resting EEG of Parkinson's disease patients (n=24, median age 67 years) to those of healthy controls, and found that the patient group exhibited higher spectral power over the frequency range of 2-100 Hz, and the dominant peak was shifted towards lower frequencies.
Journal Article

Wavelet Compression of ECG Signals Using SPIHT Algorithm

TL;DR: In this paper, a wavelet transform with a modified version of the set partitioning in hierarchical trees (SPIHT) coding algorithm was used for ECG data compression and the results showed the high efficiency of this method in ECG compression.
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Correlations between EEG and clinical outcome in chronic neuropathic pain: surgical effects and treatment resistance

TL;DR: Findings demonstrate a normalizing effect of CLT on cortical activity and suggest that treatment resistance is associated with a frustration-based dynamics.