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Thus, moving average methods were applied to remove short-term motion artifacts and to correct such fluctuations in the analyzed data (moving average window: 5 sec).
We used moving average methods to exclude short-term motion artifacts in the analyzed data (moving average window, 5 s).
Moving average methods were used to exclude short-term motion artifacts in the analyzed data (moving average window, 5 s).
For example, BioSense [ 8] currently includes both moving average methods and a method involving fitting a model similar to Eq. (1).
Moving average methods tend to be more robust than model-based methods when those model-based methods are based on simplistic (i.e., nonhierarchical) assumptions.
Moving average methods for this data have high DPs, negligible observed tendency toward optimistic DP claims, and achieved an actual false alarm rate of slightly less than the nominal rate of one per year.
Similar(48)
Therefore, the moving average method was used to filter the noise signal.
Obviously, the span controls the performance of the moving average method.
The reason to utilize the weighted moving average method is to reveal the uncontrolled action.
The success of moving average method depends primarily upon two factors: (1) limiting distance and (2) weight of the exponent.
The moving average method is used to compile a different sample to determine the relative efficiency of each DMU.
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CEO of Professional Science Editing for Scientists @ prosciediting.com