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Table 1 Running time for learning peak recognition models (Gaussian, SR, KSR, and GMM) from 2000 ICP pulses, and for recognition on 1 and 2000 pulses.

From: Robust Peak Recognition in Intracranial Pressure Signals

 

Gaussian

SR

KSR

GMM

Learning (2000 pulses)

70 ms

90 ms

1,340 ms

33,940 ms

 

1.0

1.28

19

484

Recognition (1 pulse)

1.3 ms

0.19 ms

19.6 ms

2.3 ms

ratio

6.70

1.00

100.94

11.85

Recognition (2000 pulses)

2.861 sec

0.23 sec

2.028 sec

15.156 sec

ratio

12.39

1.00

8.79

65.64

  1. While the Gaussian model performs the fastest for learning, SR-based model offers the best performance during recognition.