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Zhenwei Zhang
University of Pittsburgh
6Publications
Publications 6
Newest
Published on May 1, 2019in Computers in Biology and Medicine 2.12
Zhenwei Zhang (University of Pittsburgh), Ervin Sejdić24
Estimated H-index: 24
(University of Pittsburgh)
Abstract The application of machine learning to radiological images is an increasingly active research area that is expected to grow in the next five to ten years. Recent advances in machine learning have the potential to recognize and classify complex patterns from different radiological imaging modalities such as x-rays, computed tomography, magnetic resonance imaging and positron emission tomography imaging. In many applications, machine learning based systems have shown comparable performanc...
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Published on Mar 27, 2019in Dysphagia 2.53
Zhenwei Zhang (University of Pittsburgh), Subashan Perera44
Estimated H-index: 44
(University of Pittsburgh)
+ 4 AuthorsErvin Sejdić24
Estimated H-index: 24
(University of Pittsburgh)
Videofluoroscopic swallow studies are widely used in clinical and research settings to assess swallow function and to determine physiological impairments, diet recommendations, and treatment goals for people with dysphagia. Videofluoroscopy can be used to analyze biomechanical events of swallowing, including hyoid bone displacement, to differentiate between normal and disordered swallow functions. Previous research has found significant associations between hyoid bone displacement and penetratio...
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Published on Jan 9, 2019in ACS Applied Materials & Interfaces 8.10
Long Bian (University of Pittsburgh), Dan C. Sorescu37
Estimated H-index: 37
(DOE: United States Department of Energy)
+ 6 AuthorsAlexander Star45
Estimated H-index: 45
(University of Pittsburgh)
Carbon nanotube-based field-effect transistors (NTFETs) are ideal sensor devices as they provide rich information regarding carbon nanotube interactions with target analytes and have potential for miniaturization in diverse applications in medical, safety, environmental, and energy sectors. Herein, we investigate chemical detection with cross-sensitive NTFETs sensor arrays comprised of metal nanoparticle-decorated single-walled carbon nanotubes (SWCNTs). By combining analysis of NTFET device cha...
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Cedrine Rebrion (University of Pittsburgh), Zhenwei Zhang (University of Pittsburgh)+ 5 AuthorsErvin Sejdić24
Estimated H-index: 24
(University of Pittsburgh)
Millions of people across the globe suffer from swallowing difficulties, known as dysphagia, which can lead to malnutrition, pneumonia, and even death. Swallowing cervical auscultation, which has been suggested as a noninvasive screening method for dysphagia, has not been associated yet with any physical events. In this paper, we have compared the hyoid bone displacement extracted from the videofluoroscopy images of 31 swallows to the signal features extracted from the cervical auscultation reco...
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Published on Jan 1, 2017in Computers in Biology and Medicine 2.12
Zhenwei Zhang (University of Pittsburgh), Jessie M. VanSwearingen33
Estimated H-index: 33
(University of Pittsburgh)
+ 2 AuthorsErvin Sejdi2
Estimated H-index: 2
(University of Pittsburgh)
Human gait is a complex interaction of many nonlinear systems and stride intervals exhibiting self-similarity over long time scales that can be modeled as a fractal process. The scaling exponent represents the fractal degree and can be interpreted as a biomarker of relative diseases. The previous study showed that the average wavelet method provides the most accurate results to estimate this scaling exponent when applied to stride interval time series. The purpose of this paper is to determine t...
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Published on May 10, 2016
Ervin Sejdić24
Estimated H-index: 24
(University of Pittsburgh),
Faezeh Movahedi2
Estimated H-index: 2
(University of Pittsburgh)
+ 2 AuthorsJames L. Coyle9
Estimated H-index: 9
(University of Pittsburgh)
Acquiring swallowing accelerometry signals using a comprehensive sensing scheme may be a desirable approach for monitoring swallowing safety for longer periods of time. However, it needs to be insured that signal characteristics can be recovered accurately from compressed samples. In this paper, we considered this issue by examining the effects of the number of acquired compressed samples on the calculated swallowing accelerometry signal features. We used tri-axial swallowing accelerometry signa...
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