measurement interval
1.THE AUTOMATIC MEASUREMENT OF QT INTERVAL IN ECG USING A NEURAL NETWORK BASED ON ADAPTIVE RESONANCE THEORY
4.Through photometric measurement,the absolute brightness and polarization of the corona were obtained for the interval 1.1—3.5R_⊙.
6.Conclusion QT interval changed with cardiac function at different AVDs, the optimal AVD setting can be determined by QT interval measurement.
7.A new algorithm for automatic QT interval measurement in ordinary and Holter electrocardiogram (ECG) is proposed.
8.Paper have studied the influence of error in the information of actual measurement to inversion result. Know the error transmiting law clearly, as well as the effect of static migration to inversion result andthe MT observation frequency distribution interval reasonability problem.
9.Based on the formal measurement table applying the 2(superscript nd) pre-test on 351 students and conducting the examination of the credibility and validity to construct the credibility and validity of the measurement table, the coefficient of inner consistency of individual element in this table was .673~.892, and the coefficient of re-test after the interval of two weeks was .697~.930, with the performance of physical education learning to prove the discriminate validity and criterion-related validity, and with the element analysis to examine the construction validity, the sum of variable amount which could be interpreted was 59.06%, the outcome showed this table was having good credibility and validity that could provide physical education teachers to realize the learning strategies of university students.
10.That air-conditioning system is non-eiger gray system is proposed. By a real example, gray interval predicting of loads of building hygrothermal system is studied. Compared with real measurement, it is feasible to apply ULLLM to build gray plane.
