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Automatic localization of the seizure onset zone (SOZ) is able to output an objective result and help clinical doctors greatly in epilepsy therapy. Transfer entropy is one of the most frequently used measures based on information theory to localize the SOZ. However, if only using transfer entropy to localize the SOZ, different results can be obtained during different periods, thus humans still need...
Distribution network reconfiguration is a complex and discrete nonlinear combinatory optimization problem. In this paper, an adaptive harmony search algorithm based on positive feedback (PFAHSA) is proposed to solve the problem for reducing power loss in distribution systems. The PFAHSA incorporates a local optimal method based on positive feedback mechanism into traditional harmony improvising criteria...
The presence of adventitious lung sounds, such as the wheezing sound, is an indication of possible respiratory disorders. Many algorithms have been proposed in the literature for the detection of adventitious lung sounds but they involve the use of sophisticated pattern recognition techniques which are complex and are hence not suitable for use in wearable personal devices. While a recent work reported...
The respiratory rate is a vital sign that can provide important information about the health of a patient, especially that of the respiratory system. The aim of this study is to develop a simple method that can be applied in wearable systems to monitor the respiratory rate automatically and continuously over extended periods of time. In this paper, a novel respiratory rate estimation method is presented...
Wheezy breath is a general sign for airway obstructive diseases like asthma and chronic obstructive pulmonary disease. This paper presents a novel wheeze detection method that can be used to detect and identify wheezes automatically. The proposed method exploits ``entropy" to describe the pattern of the frequency spectrum of the wheezing signal and the wheeze identification can be conducted using...
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