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Finally, the detection result is obtained by the double threshold segmenting and the target region selection method.
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The aim of this work is the development of an improved formulation of the double threshold algorithm for sEMG onset offset detection presented by Bonato and co-workers.
The double threshold approach takes a snapshot in time of the current CPU utilisation and thus can suffer from false positives caused by workload utilisation peaks and troughs.
We present the results for the double threshold model in Table 6.
These results correspond to the three unique regimes found through the double threshold model.
The double threshold model requires a greater need for computing power.
In 2004, Lanyi and Adler (10) found that the double-threshold method proposed by Bornato is complex and computationally expensive, requiring a whitening of the signal.
If the probability of detection is P d then the double-threshold method is given by equation 3. The behavior of the double-threshold detector is fixed by the parameters: the threshold r o, and the length of the observation window, m.
In order to alleviate this problem, the double-threshold energy detection method is discussed in [11].
The second threshold is fixed during detection, which implies that the double-threshold detector actually becomes single-threshold detector.
The discretization of the datasets was done by use of double threshold functions.
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