Irregular Breathing Classification from Multiple Patient Datasets - Prediction and Classification of Respiratory Motion - page 120

5000

AIC
BIC

4500

4000

3500

3000

2500

2000

1500

2 3 4 5 6 7 8

Number of Cluster (M)

Fig. 6.7 Quantitative model analysis for the selection of cluster number

minima. Figure 6.8 shows the frequency distribution of BC i for the breathing
datasets. The breathing cycles are distributed with a minimum of 2.9 s/cycle and a
maximum of 5.94 s/cycle. The average breathing cycle of the breathing datasets is
3.91 s/cycle.
There are yet no gold standard ways of labeling regular or irregular breathing
signals. Lu et al. showed, in a clinical way, that moving average value can be used
to detect irregular patterns, where inspiration or expiration was considered as
irregular if its amplitude was smaller than 20 % of the average amplitude [ 7 ].

45

40

Min = 2.9 seconds/cycle
Max = 5.94 seconds/cycle
Mean = 3.91seconds/cycle

35

30

25

20

15

10

5

0

3 3.5 4 4.5 5 5.5 6

Breathing Cycle (BC i )

Fig. 6.8 Frequency distribution of breathing cycle (BC i ) for the breathing datasets. The
breathing cycles are variable from 2.9 to 5.94 s/cycle, with 3.91 s/cycle as the average time