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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.
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Journal ArticleDOI
Adaptive Transcutaneous Power Transfer to Implantable Devices: A State of the Art Review
Kara N. Bocan,Ervin Sejdic +1 more
TL;DR: This review is on strategies to sense and adapt to environmental variations in wireless transcutaneous systems, a broad research area that has recently become applicable to implantable medical devices.
Journal ArticleDOI
World guidelines for falls prevention and management for older adults: a global initiative
Manuel Montero-Odasso,Nathalie van der Velde,Finbarr C. Martin,Mirko Petrovic,Maw Pin Tan,Jesper Ryg,Sara G. Aguilar-Navarro,Neil B. Alexander,Clemens Becker,Hubert Blain,R. Michael Bourke,Ian D. Cameron,Richard Camicioli,Lindy Clemson,Jacqueline C. T. Close,Kim Delbaere,Leilei Duan,Gustavo Duque,Suzanne M Dyer,Ellen Freiberger,David A. Ganz,Fernando Gomez,Jeffrey M. Hausdorff,David B. Hogan,Susan W. Hunter,Jose Jauregui,Nellie Kamkar,Rose Anne Kenny,Sarah E Lamb,Nancy K. Latham,Lewis A. Lipsitz,Teresa Liu-Ambrose,Pip Logan,Stephen R. Lord,Louise Mallet,David Marsh,Koen Milisen,Rogelio Moctezuma‐Gallegos,Meg E. Morris,Alice Nieuwboer,Monica Rodrigues Perracini,Frederico Pieruccini-Faria,Alison Pighills,Catherine M Said,Ervin Sejdic,Catherine Sherrington,Dawn A. Skelton,Sabestina Dsouza,Mark Speechley,Susan Stark,Chris Todd,Bruce R. Troen,Tischa J. M. van der Cammen,Joe Verghese,Ellen Vlaeyen,Jennifer Watt,Tahir Masud +56 more
TL;DR: A set of evidence- and expert consensus-based falls prevention and management recommendations applicable to older adults for use by healthcare and other professionals that consider a person-centred approach and will require flexible implementation strategies that consider both local context and resources are provided.
Journal ArticleDOI
Frequency-based window width optimization for S-transform
TL;DR: In this paper, a modification to the existing S-transform is proposed to enhance the energy concentration in the time-frequency domain, which is achieved by introducing an additional parameter which can be used to optimize the window width.
Journal ArticleDOI
A window width optimized S-transform
TL;DR: It is shown using the test signals that the proposed scheme can lead to higher energy concentration in comparison with other standard linear techniques, such as short-time Fourier transform and its adaptive forms, and has been demonstrated on engine knock signal analysis to show its effectiveness.
Journal ArticleDOI
Deep Belief Networks for Electroencephalography: A Review of Recent Contributions and Future Outlooks.
TL;DR: This review covered various applications of electroencephalography in medicine, including emotion recognition, sleep stage classification, and seizure detection, in order to understand how deep learning algorithms could be modified to better suit the tasks desired.