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In this paper, we propose a new feature for finding lesions in gastrointestinal tissues. Polyps or cancerous parts have different capillary pattern compared with normal parts. There are polyps which have higher density of vessel or capillary pattern. This feature leads us to extract remote photoplethysmogram signal from different parts of videos from gastrointestinal tissue. Due to the fact that hemoglobin...
In this paper, we propose an algorithm to extract heart rate frequency from video camera using the Multiple SIgnal Classification (MUSIC) algorithm. This leads to improved accuracy of the estimated heart rate frequency in cases the performance is limited by the number of samples and frame rate. Monitoring vital signs remotely can be exploited for both non-contact physiological and psychological diagnosis...
In this paper, signal denoising using multiwavelet based on multivariate GARCH model is presented where the multivariate GARCH modeling captures in addition to the correlations among the multiwavelet streams, the dependencies among the multiwavelet coefficients after time decimation at each level of multiwavelet decomposition. Then, a maximum a posteriori (MAP) estimator based on multivariate GARCH...
Standard ICA (independent component analysis) cannot estimate dependent sources all alone. In these methods, assumptions on sources are non-Gaussianity and independency. In sub-band independent component analysis (SDICA), independency restriction on sources can be relaxed to only have a limited independent sub-bands. In this paper, we propose a new preprocessing to SDICA using multiwavelet based on...
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