H. Al-Nashash

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This paper represents an ongoing investigation for surface myoelectric signal segmentation and classification. The classical moving average technique augmented with principal components analysis and time-frency analysis were used for segmentation. Multiresolution wavelet analysis was adopted as an effective feature extraction technique while artificial(More)
OBJECTIVE Our experiments explored the effect of visual stimuli degradation on cognitive workload. APPROACH We investigated the subjective assessment, event-related potentials (ERPs) as well as electroencephalogram (EEG) as measures of cognitive workload. MAIN RESULTS These experiments confirm that degradation of visual stimuli increases cognitive(More)
__ This paper presents some of the techniques used to introduce simulation of semiconductor fabrication processes to undergraduate electrical engineering students at the American University of Sharjah. Students use Silvaco Athena process simulator and Atlas device simulator to perform experiments on semiconductor fabrication processes. Simulation results(More)
In this paper, the derivative of the instantaneous phase of electroencephalographic (EEG) signals is used as a basis for monitoring of global cerebral ischemia. Visual and quantitative results were obtained from six rodents that were subject to 3, 5 and 7 minutes of global ischemic brain injury by asphyxic cardiac arrest. Results show that the variations in(More)
The ECG response of a human body exposed to vertical vibrations was investigated. The per cent normalized difference (PND) between the R-wave amplitude before and after vibrations was monitored. Results obtained from a representative subject show an oscillatory decay of the PND behaviour with time. This behaviour can be modelled as a linear second order(More)
Principal component analysis has long been used for a variety of signal processing applications, including signal compression. Neural network implementations of principal component analysis provide a means for unsupervised feature discovery and dimension reduction. In this paper, we describe a method for the compression of ECG data using principal component(More)
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