scispace - formally typeset
E

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
More filters
Journal ArticleDOI

Marginal structural models using calibrated weights with SuperLearner: application to longitudinal diabetes cohort.

TL;DR: The results indicated that the treatment drop-in cohorts (with respect to metformin, sulfonylurea and SGLT-2) may improve diabetes care provision in relation to treatment naïve cohort.
Book ChapterDOI

Storing and Transmission of Digital Audio Signals

TL;DR: This chapter presents and discusses QPSK modulation and OFDM principles and realization based on the Fourier transform and illustrated on examples focusing on coding and modulation principles and applications.
Journal ArticleDOI

Robust estimation of ST segment amplitude: Revisiting the logic of automated ECG interpretation systems for STEMI classification

TL;DR: In this article , the authors present a review of the benefits described with the current state-of-the-art tools that have been implemented in order to optimize the implementation of these tools.
Patent

System and method of decoding a barcode using machine learning

TL;DR: In this article, a method of decoding a barcode is described, which includes capturing an image of the barcode, dividing the image of a bar code into a plurality of rows and columns, each column corresponding to one encoded character of the code, using a number of trained image classifiers on each row to determine a predicted character for each row of the row, for each column, determining an output character for the column based on each of the predicted characters associated with the column, and outputting the output character.
Journal ArticleDOI

A pediatric correlational study of stride interval dynamics, energy expenditure and activity level.

TL;DR: Over-ground stride dynamics do not appear to directly reflect energy conservation of gait in neurologically healthy youth, but the reduction in the variance of α with increasing physical activity suggests a potential exercise-moderated convergence toward a level of stride interval persistence for able-bodied youth reported in the literature.