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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