Skip to main content
Log in

On arousal from sleep: time-frequency analysis

  • Original Article
  • Published:
Medical & Biological Engineering & Computing Aims and scope Submit manuscript

Abstract

Time-frequency analysis of the heart rate variability during arousal from sleep, with and without EMG activation, coming from five obese healthy subjects was performed. Additionally, a comparative analysis of three time-frequency distributions, smooth pseudo Wigner–Ville (SPWVD), Choi–Williams (CWD) and Born–Jordan distribution (BJD) is presented in this study. SPWVD showed higher capacity for eliminating the cross terms independently of the signal. After applying Hilbert transformation to real signals BJD and CWD lost some important mathematic properties as marginals, on the contrary PSWVD remains unchanged. BJD showed results comparable with CWD. During arousal episodes, analogous energy distribution and spectral indexes were obtained by the three time-frequency representations. Arousals with chin activity presented stronger changes in RR intervals and LF (related to sympathetic activity) component, being statistically different with respect to arousal without chin activity, only around the period of maximum change in β activity on the EEG. These results suggest a more evident stress for the heart when an arousal is related to external muscular activity.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

References

  1. Atlas task force of American sleep disorders association (1992) EEG arousal: scoring rules and examples. Sleep 15:174–184

    Google Scholar 

  2. Berry RB, Asyaly MA, Mcnellis MI, Khoo MC (1998) Within night variation in respiratory effort preceding apnea termination and EEG delta power in sleep apnea. J Appl Physiol 85:1434–1441

    Google Scholar 

  3. Bianchi AM, Bontempi B, Cerutti S, Gianoglio P, Comi G, Natali MG (1990) Spectral analysis of heart rate variability signal and respiration in diabetic subjects. Med Biol Eng Comput 28:205–211

    Article  Google Scholar 

  4. Bianchi AM, Mainardi LT, Petrucci E, Signorini MG, Cerutti S (1993) Time-variant power spectrum analysis for the detection of transient episodes in HVR signal. IEEE Trans Biomed Eng 40:136–144

    Article  Google Scholar 

  5. Bianchi AM, Mainardi LT, Cerutti S (2000) Time-frequency analysis of biomedical signals. Trans Inst Meas Control 22:215–230

    Google Scholar 

  6. Blasi A, Jo J, Valladares E, Morgan BJ, Skatrud JB, Khoo CKM (2003) Cardiovascular variability after arousal from sleep: time-varying spectral analysis. J Appl Physiol 95:1394–1404

    Google Scholar 

  7. Boashash B (1995) Note the Use of the Wigner distribution for time-frequency signal analysis. IEEE Trans Signal Process 43:1262–1268

    Article  Google Scholar 

  8. Bonnet MH (1989) The effect of sleep fragmentation on sleep and performance in younger and older subjects. Neurobiol Aging 10:21–25

    Article  Google Scholar 

  9. Bonnet MH, Arand DL (1997) Heart rate variability: sleep stage, time of night, and arousal influences. Electroencephalogr Clin Neurophysiol 102:390–396

    Article  Google Scholar 

  10. Caffarel J, Gibson GJ, Harrison JP, Griffiths CJ, Drinnan MJ (2006) Comparison of manual sleep staging with automated neural network-based analysis in clinical practice. Med Biol Eng Comput 44:105–110

    Article  Google Scholar 

  11. Catcheside PG, Chiong SC, Orr RS, Mercer J, Saunders NA, McEvoy RD (2001) Acute cardiovascular responses to arousal from non-REM sleep during normoxia and hypoxia. Sleep 24:895–902

    Google Scholar 

  12. Chan HL, Huang HH, Lin JL (2001) Time-frequency analysis of heart rate variability during transient segments. Ann Biomed Eng 29:983–996

    Article  Google Scholar 

  13. Chen W, Zhu X, Nemoto T, Kanemitsu Y, Kitamura K, Yamakoshi K (2005) Unconstrained detection of respiration rhythm and pulse rate with one under-pillow sensor during sleep. Med Biol Eng Comput 43:306–312

    Article  Google Scholar 

  14. Choi HI, Williams WJ (1989) Improved time-frequency representation of multicomponent signals using exponential kernels. IEEE Trans Acoust Speech Signal Process 37:862–871

    Article  Google Scholar 

  15. Cohen L (1966) Generalized phase-space distribution functions. J Math Phys 7:781–786

    Article  Google Scholar 

  16. Cohen L (1989) Time-frequency distributions: a review. Proc IEEE (77):941–981

  17. Collard P, Dury M, Delguste P, Aubert G, Rodenstein D (1996) Movement arousals and sleep-related disordered breathing in adults. Am J Respir Crit Care Med 154:454–459

    Google Scholar 

  18. Davies RJ, Belt PJ, Roberts SJ, Ali NJ, Stradling JR (1993) Arterial blood pressure responses to graded transient arousal from sleep in normal humans. J Appl Physiol 74:1123–1130

    Google Scholar 

  19. Driscoll DM, Meadows GE, Corfield DR, Simonds AK, Morrell MJ (2004) Cardiovascular response to arousal from sleep under controlled conditions of central and peripheral chemoreceptor stimulation in humans. J Appl Physiol 96:865–870

    Article  Google Scholar 

  20. Ferini-Strambi L, Bianchi A, Zucconi M, Oldani A, Castronovo V, Smirne S (2000) The impact of cyclic alternatine pattern on heart rate variability during sleep in healthy adults. Clin Neurophysiol 111:99–101

    Article  Google Scholar 

  21. Halasz P, Terzano M, Liborio P, Bodizs R (2004) The nature of arousal in sleep. J Sleep Res 13:1–13

    Article  Google Scholar 

  22. Hlawatch F, Boudreaux-Bartel G (1992) Linear and quadratic time-frequency signal representations. IEEE Signal Process Mag 21–67

  23. Hlawatsch F, Manickam TG, Urbanke RL, Jones W (1995) Smooth pseudo-Wigner distribution, Choi–Williams distribution, and Cone-kernel representation: ambiguity-domain analysis and experimental comparison. Signal Process 19:149–168

    Article  Google Scholar 

  24. Jasson S, Medigue C, Maison-Blanche P, Montano N, Meyer L, Vermeiren C, Mansier P, Coumel P, Malliani A, Swynghedauw B (1997) Instant power spectrum analysis of heart rate variability during orthostatic tilt using a time-/frequency-domain method. Circulation 96(10):3521–3526

    Google Scholar 

  25. Jeong J, Williams WL (1992) Kernel design for reduced interference distributions. IEEE Trans Signal Process 40:2402–2412

    Google Scholar 

  26. Karlsson S, Yu J, Akay M (2000) Time-frequency analysis of myoelectric signals during dynamics contractions: a comparative study. IEEE Trans Biomed Eng 47:228–238

    Article  Google Scholar 

  27. Khadra LM, Dridi JA, Khasawneh MA, Ibrahim MM (1998) Time-frequency distributions based on generalized cone-shape kernels for the representation of nonstationary signals. J Franklin Inst 33B:915–928

    Article  Google Scholar 

  28. Mainardi LT, Bianchi AM, Cerutti S (2002) Time-frequency and time-varying analysis for assessing the dynamic response of cardiovascular control. Crit Rev Biomed Eng 30:175–217

    Article  Google Scholar 

  29. Malliani A (1999) The pattern of sympathovagal balance explored in the frequency domain. News Physiol Sci 14:111–117

    Google Scholar 

  30. Martin W, Flandrin P (1985) Wigner–Ville spectral analysis of nonstationary process. IEEE Trans Acoust Speech Signal Process 33:1462–1470

    Article  Google Scholar 

  31. Martin SE, Engleman HM, Deary IJ, Douglas NJ (1996) The effect of sleep fragmentation on daytime function. Am J Respir Crit Care Med 153:1328–1332

    Google Scholar 

  32. Montano N, Ruscone TG, Porta A, Lombardi F, Pagani M, Malliani A (1994) Power spectrum analysis of heart rate variability to assess the changes in sympathovagal balance during graded orthostatic tilt. Circulation 90(4):1826–1831

    Google Scholar 

  33. Morgan B, Crabtree D, Puleo D, Skatrud J (1996) Neurocirculatory consequences of abrupt change in sleep state in humans. J Appl Physiol 80:1627–1636

    Google Scholar 

  34. Novak P, Novak V (1993) Time/frequency mapping of heart rate, blood pressure and respiratory signals. Med Biol Eng Comput 31:103–110

    Article  Google Scholar 

  35. Pola S, Macerata A, Edmin M, Marchesi A (1996) Estimation of the power spectral density in nonstationary cardiovascular time series: assessing the role of the time-frequency representations (TFR). IEEE Trans Biomed Eng 43:46–59

    Article  Google Scholar 

  36. Ramos G, Carrasco S, Medina V (2000) Time-frequency analysis of the heart rate variability during Valsalva manoeuvre. J Med Eng Technol 24:73–82

    Article  Google Scholar 

  37. Rechtschaffen A, Kales AE (1968) A manual of standardized terminology, techniques and scoring system for sleep stages of human subjects. Brain Information Services/Brain Research Institute, UCLA

  38. Schreier PJ, Scharf LL (2003) Stocastic time-frequency analysis using the analytic signal: why the complementary distribution matters. IEEE Trans Signal Process 51:3071–3079

    Article  MathSciNet  Google Scholar 

  39. Sforza E, Jouny C, Ibanez V (2000) Cardiac activation during arousal in humans: further evidence for hierarchy in the arousal response. Clin Neurophysiol 111:1611–1619

    Article  Google Scholar 

  40. Sforza E, Chapotot F, Lavoie S, Roche F, Pigeau R, Buguet A (2004) Heart rate activation during spontaneous arousals from sleep: effect of sleep deprivation. Clin Neurophysiol 115(11):2242–2251

    Article  Google Scholar 

  41. Sforza E, Pichot V, Barthelemy JC, Haba-Rubio J, Roche F (2005) Cardiovascular variability during periodic leg movements: a spectral analysis approach. Clin Neurophysiol 116:1096–1104

    Article  Google Scholar 

  42. Smurra MV, Dury M, Aubert G, Rodenstein DO, Liistro G (2001) Sleep fragmentation: comparison of two definitions of short arousals during sleep in OSAS patients. Eur Respir J 17:723–727

    Article  Google Scholar 

  43. Spicuzza L, Bernardi L, Calciati A, Ugo di Maria G (2003) Autonomic of heart rate variability during obstructive versus central apneas in patients with sleep-disorders breathing. Am J Resp Crit Care Med 167:902–910

    Article  Google Scholar 

  44. Stankovic L (1996) Auto-term representation by the reduced interference distributions: a procedure for kernel design. IEEE Trans Signal Process 44:1557–1563

    Article  Google Scholar 

  45. Task force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology (1996) Heart rate variability: standards of measurement, physiological interpretation, and clinical use. Circulation 93:1043–1065

    Google Scholar 

  46. Trinder J, Merson R, Rosenberg JI, Fitzgerald F, Kleiman J, Bradley TD (2000) Pathophysiological interactions of ventilation, arousals, and blood pressure oscillations during Cheyne–Stokes respiration in patients with heart failure. Am J Respir Crit Care Med 162:808–813

    Google Scholar 

  47. White DP (2006) Sleep apnea. Proc Am Thorac Soc 3:124–128

    Article  Google Scholar 

  48. Young T, Peppard PE, Gottlier DG (2002) Epidemiology of obstructive sleep apnea, a population health perspective. Am J Respir Crit Care Med 165:1217–1239

    Article  Google Scholar 

Download references

Acknowledgments

This paper was partially supported by the MyHeart Project IST 507816 of the European Community and by CONACyT (Mexico), grant 169435/205104.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to M. O. Mendez.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Mendez, M.O., Bianchi, A.M., Montano, N. et al. On arousal from sleep: time-frequency analysis. Med Biol Eng Comput 46, 341–351 (2008). https://doi.org/10.1007/s11517-008-0309-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11517-008-0309-z

Keywords

Navigation