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Table 8 The comparison of the calculation time between RF, SVM and ANN in subject specific scheme with the training proportion of 0.2

From: Lying position classification based on ECG waveform and random forest during sleep in healthy people

Subject no. RF SVM ANN
1 3.22291 ± 0.19684 0.04193 ± 0.00423 3.34373 ± 1.16847
2 3.02385 ± 0.12278 0.03636 ± 0.00254 3.18128 ± 0.81556
3 3.13849 ± 0.15552 0.03429 ± 0.00262 4.72749 ± 1.02038
4 2.97439 ± 0.12926 0.02707 ± 0.00118 3.10264 ± 1.28542
5 3.06737 ± 0.15559 0.03440 ± 0.00151 3.76409 ± 0.76218
6 2.83269 ± 0.13927 0.00537 ± 0.00056 2.43798 ± 0.12534
7 3.18591 ± 0.12517 0.03952 ± 0.00134 5.70489 ± 0.26425
8 3.00057 ± 0.16294 0.03204 ± 0.00114 5.50479 ± 0.32688
9 2.92328 ± 0.18162 0.03034 ± 0.00091 3.57378 ± 1.14730
  1. The mean time and standard deviation of 10 experiments were calculated in seconds. Each value represented the mean time of all epochs lying position classification of one subject