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Zhenwei Zhang
University of Pittsburgh
10Publications
1H-index
3Citations
Publications 10
Newest
#1Qifan He (University of Pittsburgh)
#2Subashan Perera (University of Pittsburgh)H-Index: 44
Last.Ervin Sejdic (University of Pittsburgh)H-Index: 26
view all 9 authors...
Recent publications have suggested that high-resolution cervical auscultation (HRCA) signals may provide an alternative non-invasive option for swallowing assessment. However, the relationship between hyoid bone displacement, a key component to safe swallowing, and HRCA signals is not thoroughly understood. Therefore, in this work we investigated the hypothesis that a strong relationship exists between hyoid displacement and HRCA signals. Videofuoroscopy data was collected for 129 swallows, simu...
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#1Shitong Mao (University of Pittsburgh)
#2Zhenwei Zhang (University of Pittsburgh)H-Index: 1
Last.Ervin SejdicH-Index: 26
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Hyoid bone movement is an important physiological event during swallowing that contributes to normal swallowing function. In order to determine the adequate hyoid bone movement, clinicians conduct ...
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#1Zhenwei Zhang (University of Pittsburgh)H-Index: 1
#2Ervin Sejdic (University of Pittsburgh)H-Index: 26
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...
1 CitationsSource
#1Zhenwei Zhang (University of Pittsburgh)H-Index: 1
#2Subashan Perera (University of Pittsburgh)H-Index: 44
Last.Ervin Sejdic (University of Pittsburgh)H-Index: 26
view all 7 authors...
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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#1Long Bian (University of Pittsburgh)H-Index: 1
#2Dan C. Sorescu (DOE: United States Department of Energy)H-Index: 38
Last.Alexander Star (University of Pittsburgh)H-Index: 47
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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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#1Cedrine Rebrion (University of Pittsburgh)H-Index: 1
#2Zhenwei Zhang (University of Pittsburgh)H-Index: 1
Last.Ervin Sejdic (University of Pittsburgh)H-Index: 26
view all 8 authors...
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...
2 CitationsSource
#1Zhenwei Zhang (University of Pittsburgh)H-Index: 1
#2James L. Coyle (University of Pittsburgh)H-Index: 11
Last.Ervin Sejdic (University of Pittsburgh)H-Index: 26
view all 3 authors...
The displacement of the hyoid bone is one of the key components evaluated in the swallow study, as its motion during swallowing is related to overall swallowing integrity. In daily research settings, experts visually detect the hyoid bone in the video frames and manually plot hyoid bone position frame by frame. This study aims to develop an automatic method to localize the location of the hyoid bone in the video sequence. To automatically detect the location of the hyoid bone in a frame, we prop...
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Aug 1, 2017 in DSP (International Conference on Digital Signal Processing)
#1Yassin Khalifa (University of Pittsburgh)H-Index: 1
#2Zhenwei Zhang (University of Pittsburgh)H-Index: 1
Last.Ervin Sejdic (University of Pittsburgh)H-Index: 26
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The impressive evolution of neural networks and deep learning techniques during the last few years has offered new incomparable routes to solve many complex problems. Moreover, the fact that neural networks are structured and supervised has made it possible to perform automatic parameter tuning that guarantees convergence to the best expressive model for the problem assessed. In this work, we investigated the use of recurrent neural networks (RNNs) to solve the sequential sparse recovery problem...
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#1Zhenwei Zhang (University of Pittsburgh)H-Index: 1
#2Jessie M. VanSwearingen (University of Pittsburgh)H-Index: 34
Last.Ervin Sejdi (University of Pittsburgh)H-Index: 2
view all 5 authors...
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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#1Ervin Sejdic (University of Pittsburgh)H-Index: 26
#2Faezeh Movahedi (University of Pittsburgh)H-Index: 2
Last.James L. Coyle (University of Pittsburgh)H-Index: 11
view all 5 authors...
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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