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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)
• Electrocutions are the 5th leading cause of accidental death in the U.S. • More than 700 people lose their lives every year because of accidents associated with electricity and electrical products. • 40,000 residential electrical fires occur annually. • More than $2 billion is lost on property damage. • The increased use and complexity of medical systems(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)
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)
Interpretation of Fetal ECG can show important indications about health and condition of fetus during pregnancy. These indications can help clinicians to cure some diseases and prevent some unwanted problems during labor. However, despite of the rich literature in this field, there is not still a commercial ECG Fetal Monitor which can record Fetal ECG(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)
Event related potential can provide important information about the human memory content. One can use ERP signals to determine if a piece of information is significant to a person or not. This property of ERP appears to be greatly useful to a wide range of applications. The use of ERP as a forensic tool is being investigated in this paper. The used(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)
__ 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)
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