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The following topics are dealt with: Long Term Evolution; solar energy conversion; nanofabricated X-ray nanofocusing optics; nanoelectronics; nanomaterials; biomedical engineering; biomedical signal processing; noninvasive diagnosis; ECG classification; EMG signal; condition monitoring; electrical plant; mobile application development; neuroengineering; engineering education; industrial technology;...
To explore the cross-information in multi-modal data, several multivariate data fusion techniques have been proposed. Partial least square (PLS) has great potential for neuroimaging studies. However, when performing group analysis with PLS, the presence of inter-subject variability makes the conventional technique of simply pooling data from different subjects problematic. To circumvent this issue,...
In this paper, an artificial intelligence technique called Back Propagation Network (BPN) is proposed to cancel the electrocardiogram (ECG) interference in electromyogram (EMG) signal. Conventional filtering techniques are not suitable due to an overlap in spectral content of the EMG and the ECG. The performance evaluation of the proposed technique is done in terms of signal to noise ratio, mean square...
Independent Component Analysis (ICA) is a useful method for blind source separation of two signals or more. We have previously proposed a new method combining ICA with the complex discrete wavelet transform (CDWT). In this case, the voice and the noise were separated using a new method. At that time, we used the simulation signal. In this study, we analyze measured biological signals by using this...
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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