Database Reference
In-Depth Information
[48] S. Pincus and B. Singer, ”Randomness and degrees of irregularity,”
Proc. Natl. Acad. Sci. USA Vol. 93, pp. 2083-2088, March 1996
[49] R. Bryce and B. Sprague, ”Revisiting detrended fluctuation analy-
sis,” Sci. Rep. 2012/03/14/online Vol. 2
[50] M. Feder, N. Merhav, and M. Gutman, ”Universal prediction of
indi- vidual sequences,” IEEE Trans. Inform. Theory, vol. 38, pp.
1258-1270, July 1992.
[51] C. Garrard, D. Kontoyannis and M Piepoli, ”Spectral analysis of
heart rate variability in the sepsis syndrome,” Clinical autonomic
research ocial journal of the Clinical Autonomic Research Society
1993, Volume: 3, Issue: 1, Pages: 5-13
[52] R. Winchell and D. Hoyt, ”Spectral analysis of heart rate variability
in the ICU: a measure of autonomic function,” J Surg Res. 1996
Jun;63(1):11-6.
[53] H. Kennedy, ”Heart rate variability - A potential, noninvasive prog-
nostic index in the critically ill patient,” Critical Care Medecine,
1998, Volume 26, Issue 2, Pages 213-214
[54] B. Goldstein, D. Fiser, M. Kelly, D. Mickelsen, U. Ruttimann and
M. Pollack, ”Decomplexification in critical illness and injury: rela-
tionship between heart rate variability, severity of illness, and out-
come,” Crit Care Med. 1998 Feb;26(2):352-7.
[55] W. Riordan, P. Norris, J. Jenkins and J. Morris, ”Early Loss of
Heart Rate Complexity Predicts Mortality Regardless of Mechanism,
Anatomic Location, or Severity of Injury in 2178 Trauma Patients,”
Journal of Surgical Research 2009, Volume 156, Issue 2, Pages 283-
289
[56] ”Weaning And Variability Evaluation (WAVE),” retrieved from
[57] N. Thakor and Y. Zhu, ”Applications of adaptive filtering to ECG
analysis: noise cancellation and arrhythmia detection,” Biomedical
Engineering, IEEE Transactions on, Aug. 1991 Vol. 38, Issue: 8
[58] V. Somers, M. Dyken, M. Clary and F. Abboud, ”Sympathetic Neu-
ral Mechanisms in Obstructive Sleep Apnea,” J. Clin. Invest. Vol. 96,
October 1995, 1897-1904
[59] A. Shoeb. ”Application of machine learning to epileptic seizure on-
set detection and treatment,” PhD Thesis, Massachusetts Institute
of Technology, 2009.
[60] B. Foreman and J. Claassen,”Quantitative EEG for the detection
of brain ischemia,” Critical Care 2012, 16:216
