We describe a cross-correlation procedure for removing contaminating electrocardiogram (ECG) complexes from the diaphragmatic electromyogram (EMGdi). First, the operator selects ECG templates from the EMGdi signal during expiratory intervals. Second, these templates are used to locate ECG complexes occurring during inspiratory EMGdi activity. Third, at the point of maximum correlation between the template and these ECG complexes, the template is adjusted in size and offset to "match" the ECG complex, and adjustments are determined by the linear regression coefficients. Finally, the modified template is subtracted from the EMGdi signal. To evaluate our method, we compared the power spectral density (PSD) obtained from processing EMGdi signals by our method with those obtained from the EMGdi signal in which ECG complexes had been removed by gating. Our results indicate that PSD obtained by these two different methods shows no statistically significant differences with respect to the following features: centroid frequency, median frequency, total power, standard deviation, skewness, and kurtosis.
A large corporate client of Rosenbluth Travel Agency conducts several foreign trips every year which include scientists and business persons. During their tours, each group is supposed to visit as many as 60 different companies located in about 20 different cities. Each meeting is to be attended by a business person and a scientist. Some meetings require the attendance of a specific individual while some allow any scientist or business person. Our objective was to determine a feasible tour with the minimum number of repeat visits. We developed a computer program that uses heuristics to solve the problem.
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