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Human visual system detects details in coloured images better. Sometimes interpretation of details in gray scale ultrasound images becomes harder. So in this work pseudocoloring of ultrasound images using empirical mode decomposition (EMD) is proposed. EMD doesn't use base function so it has more advantages than Fourier and wavelet transforms. The proposed method pseudocolored image by assigning two...
The complexity of emotion and its multi levels and multi modality of research, will inevitably lead to the multi orientation of study on it. This paper draw generalizations on the emotion physiological research based on EEG, ECG, GSR, RSP, EMG signals. The results show that: there is obvious mapping relationship between physiological signals and emotion and the physiological signals can more truly...
At present there are various measuring devices or instruments that acquire the electrical activity of the heart (ECGs), but make a proper measurement, models the signs are printed directly on sheets of graph paper, unable to save the information for later analysis. In this work we make the development of a bioelectric signal acquisition, in this case focused on the signals emitted by the heart to...
In this paper, we have analyzed the physical and mental performance of computer user due to the long term use of computer by analyzing the variations in physiological signals. Performances of computer user are monitored by recording and analyzing the variations in Electrocardiogram (ECG), Electromyogram (EMG), Electrooculogram (EOG), and Electroencephalogram (EEG). Detecting the performance of computer...
The performance of speech recognition systems is commonly degraded by either speech-related disabilities or by real-world factors such as the environmentpsilas noise level and reverberation. In this work, we propose a subvocal speech recognition system based on EMG signal for subvocal acquisition, Independent Component Analysis (ICA) for feature extraction and Neural Networks for classification. We...
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