Double Crossover Points in the DFA of Heartbeats in Patients with Sleep Apnea

Midori Ichimaru, Yuhei Ichimaru, George B. Moody, Kuniaki Otsuka

Department of Clinical Nutrition and Informatics, Tokyo Kasei University, Tokyo, Japan.
Department of Medicine, Tokyo Women’s Medical University, Medical Center East, Tokyo, Japan.
Harvard-MIT Division of Health Science and Technology, Boston, USA.

DOI: 10.4236/ijcm.2012.37123                

Abstract

Cardiovascular and cerebrovascular events have been observed during night-time associated with periodic breathing including sleep apnea and Cheyne-Stokes respiration. Early detection and treatment is important to reduce night-time events. We clarified the characteristics of the dynamic nature of heartbeats associated with periodic breathing by using detrended fluctuation analysis (DFA). We analyzed heartbeats in eight recordings from the MIT-BIH Polysomnographic database. We observed two crossover points and defined three scaling exponents, β1 (n ≤ 40 beats), β2 (50 ≤ n ≤ 200), and β3 (251 ≤ n ≤ 1584). Compared with β1 (1.21 ± 0.13) and β3 (0.92 ± 0.16), scaling exponent β2 (0.62 ± 0.16) showed the statistically lowest value (p < 0.05). And there was a negative relationship between the scaling exponent β2 and apnea/hypopnea index (p < 0.05). These results indicate that DFA analysis of heartbeats may be useful for the early detection of sleep associated breathing disorders including sleep apnea and its severity.

Keywords

Sleep Apnea; DFA (Detrended Fluctuation Analysis); Scaling Exponent; Crossover Points; Heartbeats

Conflicts of Interest

The authors declare no conflicts of interest.

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