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. 2019 Nov 26;13:80. doi: 10.3389/fncom.2019.00080

Table 2.

Time consumption regarding offline training and online prediction stages.

Offline training Online prediction
(Samples, features) (435, 200) (1, 200)
Artifact removal 151.89(23)s 200(16)ms
Feature extraction 79.27(3)s 182.25(8)ms
LDS smoothing 149.35(7)s None
SG smoothing 67.31(1)ms 67.31(1)ms
Normalize 98.42(1)ms 98.42(1)ms
Feature selection 1.87(5)ms None
Training/Predicting 873.65(62)ms 38.8(11)μs
Total 381.55s 548.02ms