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Abstract.A fast motion estimation algorithm based on the adaptive search range adjustment ͑ASRA͒ is presented. The size of search range for each block is adaptively controlled according to the initial cost at the search center, and then the full search algorithm ͑FSA͒ is performed to find the optimal matching block in the adjusted search range. The proposed method is implemented in H.264/AVC reference software ͑JM͒ to demonstrate its efficiency over the conventional FSA.

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Abstract-In recent years, there has been a rapid growth in patient monitoring and medical data analysis using decision support systems, smart alarm monitoring, expert systems and many other computer aided protocols. The main goal of this study was to enhance the developed diagnostic alarm system for detecting critical events during anaesthesia. The proposed diagnostic alarm system is called Fuzzy logic monitoring system-2 (FLMS-2). The performance of the system was validated through a series of off-line tests. When detecting hypovolaemia a substantial level of agreement was observed between FLMS-2 and the human expert and it is shown that system has a better performance with sensitivity of 94%, specificity of 90% and predictability of 72%.

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