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This paper presents a novel algorithm, which uses intuitionistic fuzzy sets and rough set theory to segment the renal components in kidney MR images. A new membership function is proposed and then is used to obtain an intuitionistic fuzzy model of the image to compensate the inherent heterogeneity present among the different renal tissue classes. In addition, a new method, which uses Hamming distance...
Removal of motion artifacts (MA) from wrist-type photoplethysmographic (PPG) signal recordings during exercise is a difficult problem, since the MA during exercise can be very strong. In this paper, a modified independent component analysis (ICA) algorithm to remove MA is proposed. The proposed algorithm relies on the negentropy scores of the linear combinations of the signal data to achieve maximum...
Heart rate monitoring during exercise is becoming very popular due to high risk of heart attacks involved in intensive exercise. Photoplethysmography (PPG) is one such technique which is non-invasive, non- complex, and has higher usability and portability than electrocardiogram (ECG) technique. PPG signals are captured by a photodetector which records small variations in the intensity of light sent...
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