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EN
In respect to the main goal of our ongoing work for analyzing fetal electrocardiogram (FECG) signals for monitoring the health of the fetus, we investigate in this paper the possibility of extracting the fetal heart rate (FHR) directly from the abdominal composite recordings. Our proposed approach is based on a combination of Independent Component Analysis (ICA) and least mean square (LMS) adaptive filter. The FHR of the estimated FECG signal is finally compared to a reference value extracted from a FECG signal recorded by using a spiral electrode attached directly to the fetal scalp. The experimental results show that FHR can be successfully evaluated directly from the abdominal composite recordings without the need of using any external reference signal.
EN
The paper deals with the problem of automatic image processing, which takes into account the specific purpose of improving image quality. This issue is particularly difficult in the case of improving the quality of images derived from medical equipment. The methods of processing and quality improvement applied in this case require the use of clear and objective measures of image quality. The improvement of image quality can be evaluated according to some objective criteria, like scalar measures. The authors present the partial results of work showing the influence of the adaptive filter parameters used, in relation to the class of medical images, on the objective scalar measures of image quality.
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