Comparison of two different approaches in the detection of intermittent cardiorespiratory coordination during night sleep

Table 3 m:2 RSA pattern classes

m	PLR	class	μ_m(0)	μ_m(1)	μ_m(2)	2^m	basic pattern	basic compl. pattern
6	6:2	12	6	30	56	64	001001	011011
7	7:2	22	14	70	126	128	0010011	0011011
8	8:2	41	4	36	124	256	00110011	00110011
9	9:2	43	18	126	360	512	000110011	001100111
10	10:2	44	10	90	350	1024	0001100011	0011100111
11	11:2	45	22	198	770	2048	00011000111	00011100111
12	12:2	46	6	78	438	4096	000111000111	000111000111

In the present study, the binary pattern analysis is reduced to detect only those patterns which belong to the RSA pattern classes listed in this table. The strict condition is somewhat undermined by allowing a one-bit or two-bit pattern deviation (pattern tolerance τ) from the binary patterns listed, i.e. all but one bit or two bits, respectively, of the pattern under consideration must coincide with the bits of a pattern in one of the pattern classes. This makes the algorithm more flexible as asymmetrical breathing patterns are also taken into consideration. PLR : assigned phase locking ratio; μ_m(τ): size of the pattern class with respect to τ (underlined values: tolerance chosen in this study); 2^m: number of possible m-bit combinations; basic pattern and its complement: (smallest) representatives of the pattern class. In the heartbeat table (Table 1) complementary patterns are indicated by negative class numbers.

ISSN: 1472-6793