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Ervin Sejdic
Researcher at University of Pittsburgh
Publications - 276
Citations - 6881
Ervin Sejdic is an academic researcher from University of Pittsburgh. The author has contributed to research in topics: Swallowing & Signal processing. The author has an hindex of 36, co-authored 251 publications receiving 5069 citations. Previous affiliations of Ervin Sejdic include Harvard University & University of Western Ontario.
Papers
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Journal ArticleDOI
Robust S-transform based on L-DFT
Ervin Sejdic,Igor Djurovic +1 more
TL;DR: In this paper, an algorithm for the robust S-transform is introduced, which is based on the L-DFT, and the results of conducted numerical analysis show a significantly enhanced performance of the proposed scheme compared to the standard S transform.
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High-Resolution Cervical Auscultation and Data Science: New Tools to Address an Old Problem.
James L. Coyle,Ervin Sejdic +1 more
TL;DR: High-resolution cervical auscultation has shown promising results in categorizing normal and disordered swallowing independent of human input, and its growing ability to accurately replicate human judgments of swallowing data typically formed on the basis of videofluoroscopic imaging data.
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Influence of attention and bolus volume on brain organization during swallowing.
TL;DR: Brain organization during no-distraction swallowing and swallowing with distraction was compared to show variations in bolus volume influenced the swallowing brain networks in the Delta, Theta, Alpha, Beta, and Gamma frequency bands, which could potentially lead to the development of better understanding of the nature of dysphagia.
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Extraction of average neck flexion angle during swallowing in neutral and chin-tuck positions
TL;DR: The proposed neck flexion angle extraction algorithm may be useful in future studies where strict participant compliance to swallowing task protocol can be assured, and seem to be independent of anthropometry and gender in healthy adults.
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Totally Implantable Wireless Ultrasonic Doppler Blood Flowmeters: Toward Accurate Miniaturized Chronic Monitors.
TL;DR: Past and current approaches to miniaturization and implant lifetime extension for wireless implantable Doppler devices are reviewed and approaches to reduce device size and maximize implant lifetime for the next generation of devices are proposed.