Approximate entropy of human respiratory movement during eye-closed waking and different sleep stages

被引:69
作者
Burioka, N
Cornélisson, G
Halberg, F
Kaplan, DT
Suyama, H
Sako, T
Shimizu, EI
机构
[1] Tottori Univ, Fac Med, Dept Internal Med 3, Yonago, Tottori 683, Japan
[2] Univ Minnesota, Dept Lab Med & Pathol, Minneapolis, MN 55455 USA
[3] Macalester Coll, Dept Math & Comp Sci, St Paul, MN USA
关键词
approximate entropy; complexity; EEG; respiration; nonlinear; sleep;
D O I
10.1378/chest.123.1.80
中图分类号
R4 [临床医学];
学科分类号
1002 ; 100602 ;
摘要
Study objective: The breath-to-breath variability of respiratory parameters changes with sleep stage. This study investigates any alteration in the approximate entropy (ApEn) of respiratory movement as a gauge of complexity in respiration, by stage of consciousness, in the light of putative brain interactions. Participants: Eight healthy men, who were between the ages of 23 and 29 years, were investigated. Measurements and results: The signals of chest wall movement and EEG were recorded from 10:30 Pm to 6:00 Am. After analog-to-digital conversion, the ApEn of respiratory movement (3 min) and EEG (20 s) were computed. Surrogate data were tested for nonlinearity in the original time series. The most impressive reduction in the ApEn of respiratory movement was associated with stage IV sleep, when the ApEn of the EEG was also statistically significantly decreased. A statistically significant linear relation is found between the ApEn of both variables. Surrogate data indicated that respiratory movement had nonlinear properties during all stages of consciousness that were investigated. Conclusion: Respiratory movement and EEG signals are more regular during stage IV sleep than during other stages of consciousness. The change in complexity described by the ApEn of respiration depends in part on the ApEn of the EEG, suggesting the involvement of nonlinear dynamic processes in the coordination between brain and lungs.
引用
收藏
页码:80 / 86
页数:7
相关论文
共 36 条
  • [1] EVIDENCE OF CHAOTIC DYNAMICS OF BRAIN ACTIVITY DURING THE SLEEP CYCLE
    BABLOYANTZ, A
    SALAZAR, JM
    NICOLIS, C
    [J]. PHYSICS LETTERS A, 1985, 111 (03) : 152 - 156
  • [2] Approximate entropy as an electroencephalographic measure of anesthetic drug effect during desflurane anesthesia
    Bruhn, J
    Röpcke, H
    Hoeft, A
    [J]. ANESTHESIOLOGY, 2000, 92 (03) : 715 - 726
  • [3] Relationship between correlation dimension and indices of linear analysis in both respiratory movement and electroencephalogram
    Burioka, N
    Cornélissen, G
    Halberg, F
    Kaplan, DT
    [J]. CLINICAL NEUROPHYSIOLOGY, 2001, 112 (07) : 1147 - 1153
  • [4] THE CHAOTIC BEHAVIOR OF RESTING HUMAN RESPIRATION
    DONALDSON, GC
    [J]. RESPIRATION PHYSIOLOGY, 1992, 88 (03): : 313 - 321
  • [5] Approximate entropy of respiratory rate and tidal volume during weaning from mechanical ventilation
    Engoren, M
    [J]. CRITICAL CARE MEDICINE, 1998, 26 (11) : 1817 - 1823
  • [6] PREDICTABILITY OF HUMAN EEG - A DYNAMIC APPROACH
    GALLEZ, D
    BABLOYANTZ, A
    [J]. BIOLOGICAL CYBERNETICS, 1991, 64 (05) : 381 - 391
  • [7] ENHANCED BASAL AND DISORDERLY GROWTH-HORMONE SECRETION DISTINGUISH ACROMEGALIC FROM NORMAL PULSATILE GROWTH-HORMONE RELEASE
    HARTMAN, ML
    PINCUS, SM
    JOHNSON, ML
    MATTHEWS, DH
    FAUNT, LM
    VANCE, ML
    THORNER, MO
    VELDHUIS, JD
    [J]. JOURNAL OF CLINICAL INVESTIGATION, 1994, 94 (03) : 1277 - 1288
  • [8] Nonlinear analysis of heart rate and respiratory dynamics
    Hoyer, D
    Schmidt, K
    Bauer, R
    Zwiener, U
    Kohler, M
    Luthke, B
    Eiselt, M
    [J]. IEEE ENGINEERING IN MEDICINE AND BIOLOGY MAGAZINE, 1997, 16 (01): : 31 - 39
  • [9] AGING AND THE COMPLEXITY OF CARDIOVASCULAR DYNAMICS
    KAPLAN, DT
    FURMAN, MI
    PINCUS, SM
    RYAN, SM
    LIPSITZ, LA
    GOLDBERGER, AL
    [J]. BIOPHYSICAL JOURNAL, 1991, 59 (04) : 945 - 949
  • [10] Reconfiguration of the neural network controlling multiple breathing patterns: eupnea, sighs and gasps
    Lieske, SP
    Thoby-Brisson, M
    Telgkamp, P
    Ramirez, JM
    [J]. NATURE NEUROSCIENCE, 2000, 3 (06) : 600 - 607