. 35. Pincus SM, Goldberger AL Physiological time-series evaluation: what does regularity quantify Am J Physiol 266: H164321656. 36. Huang NE, Shen Z, Lengthy SR, Wu MC, Shih HH, et al. The empirical mode decomposition plus the Hilbert spectrum for nonlinear and non-stationary 37. 38. 39. 40. 41. 42. 43. 44. 45. 46. 47. 48. 49. 50. 51. 52. 53. 54. 55. 56. 57. 58. 59. 60. time series evaluation. Proceedings on the Royal Society of London, Series A 454: 9032995. Hu K, Peng CK, Czosnyka M, Zhao P, Novak V Nonlinear assessment of cerebral autoregulation from spontaneous blood stress and cerebral blood flow fluctuations. Cardiovasc Eng 8: 60271. Thuraisingham RG, G. On multiscale entropy evaluation for physiological information.. Physica A: Statistical Mechanics and its Applications 366: 3232332. Murakami S, Yamanaka T, Kubo Y, Wada T, Yano S, et al. Heart rate variability analysis and neurobehavioral function in community-dwelling older persons aged 75 or older. Nippon Ronen Igakkai Zasshi 39: 5202526. Allan LM, Kerr SR, Ballard CG, Allen J, Murray A, et al. Autonomic function assessed by heart rate variability is regular in Alzheimer’s illness and vascular dementia. Dement Geriatr Cogn Disord 19: 1402144. Kikuchi M, Wada Y, Takeda T, Oe H, Hashimoto T, et al. EEG harmonic responses to 4EGI-1 photic stimulation in regular aging and Alzheimer’s illness: differences in interhemispheric coherence. Clin Neurophysiol 113: 104521051. Peng CK, Costa M, Goldberger AL Adaptive data evaluation of complicated fluctuations in physiologic time series. Adv Adapt Information Anal 1: 61270. Goldberger AL Fractal variability versus pathologic periodicity: complexity loss and stereotypy in illness. Perspect Biol Med 40: 5432561. Jeong J EEG dynamics in sufferers with Alzheimer’s illness. Clin Neurophysiol 115: 149021505. van den Berg G, Pincus SM, Veldhuis JD, Frolich M, Roelfsema F Greater disorderliness of ACTH and cortisol release accompanies pituitarydependent Cushing’s illness. Eur J Endocrinol 136: 3942400. Hartman ML, Pincus SM, Johnson ML, Matthews DH, Faunt LM, et al. Enhanced basal and disorderly growth hormone secretion distinguish acromegalic from regular pulsatile growth hormone release. J Clin Invest 94: 12772 1288. Vaillancourt DE, Newell KM Changing complexity in human behavior and physiology by means of aging and illness. Neurobiol Aging 23: 1211. Riley MA, Turvey MT Variability of determinism in motor behavior. J Mot Behav 34: 992125. Abasolo D, Hornero R, Espino P, Escudero J, Gomez C Electroencephalogram background activity characterization with approximate entropy and auto mutual info in Alzheimer’s disease individuals. Conf Proc IEEE Eng Med Biol Soc 2007: 619226195. Park JH, Kim S, Kim CH, Cichocki A, Kim K Multiscale entropy evaluation of EEG from individuals under distinct pathological situations. Fractals 15: 3992404. Pakaski M, Kalman J Interactions between the amyloid and cholinergic mechanisms in Alzheimer’s disease. Neurochem Int 53: 58-49-1 site 1032111. Sinnreich R, Kark J, Friedlander Y, Sapoznikov D, Luria M Five minute recordings of heart rate variability for population research: repeatability and agesex qualities. Heart 80: 1562162. Perneger Television What is wrong with Bonferroni adjustments. BMJ 316: 123621238. Beekwilder JP, Beems T Overview with the clinical applications of vagus nerve stimulation. J Clin Neurophysiol 27: 1302138. Tsai PH, Lin C, Tsao J, Lin PF, Wang Computer, et al. Empirical mode decomposition primarily based detrended sample entropy in electroencephalography for Alzheimer’s d.. 35. Pincus SM, Goldberger AL Physiological time-series analysis: what does regularity quantify Am J Physiol 266: H164321656. 36. Huang NE, Shen Z, Lengthy SR, Wu MC, Shih HH, et al. The empirical mode decomposition and also the Hilbert spectrum for nonlinear and non-stationary 37. 38. 39. 40. 41. 42. 43. 44. 45. 46. 47. 48. 49. 50. 51. 52. 53. 54. 55. 56. 57. 58. 59. 60. time series analysis. Proceedings in the Royal Society of London, Series A 454: 9032995. Hu K, Peng CK, Czosnyka M, Zhao P, Novak V Nonlinear assessment of cerebral autoregulation from spontaneous blood stress and cerebral blood flow fluctuations. Cardiovasc Eng 8: 60271. Thuraisingham RG, G. On multiscale entropy evaluation for physiological data.. Physica A: Statistical Mechanics and its Applications 366: 3232332. Murakami S, Yamanaka T, Kubo Y, Wada T, Yano S, et al. Heart rate variability evaluation and neurobehavioral function in community-dwelling older persons aged 75 or older. Nippon Ronen Igakkai Zasshi 39: 5202526. Allan LM, Kerr SR, Ballard CG, Allen J, Murray A, et al. Autonomic function assessed by heart rate variability is regular in Alzheimer’s disease and vascular dementia. Dement Geriatr Cogn Disord 19: 1402144. Kikuchi M, Wada Y, Takeda T, Oe H, Hashimoto T, et al. EEG harmonic responses to photic stimulation in regular aging and Alzheimer’s illness: variations in interhemispheric coherence. Clin Neurophysiol 113: 104521051. Peng CK, Costa M, Goldberger AL Adaptive data analysis of complex fluctuations in physiologic time series. Adv Adapt Data Anal 1: 61270. Goldberger AL Fractal variability versus pathologic periodicity: complexity loss and stereotypy in disease. Perspect Biol Med 40: 5432561. Jeong J EEG dynamics in individuals with Alzheimer’s illness. Clin Neurophysiol 115: 149021505. van den Berg G, Pincus SM, Veldhuis JD, Frolich M, Roelfsema F Higher disorderliness of ACTH and cortisol release accompanies pituitarydependent Cushing’s disease. Eur J Endocrinol 136: 3942400. Hartman ML, Pincus SM, Johnson ML, Matthews DH, Faunt LM, et al. Enhanced basal and disorderly development hormone secretion distinguish acromegalic from standard pulsatile development hormone release. J Clin Invest 94: 12772 1288. Vaillancourt DE, Newell KM Changing complexity in human behavior and physiology via aging and disease. Neurobiol Aging 23: 1211. Riley MA, Turvey MT Variability of determinism in motor behavior. J Mot Behav 34: 992125. Abasolo D, Hornero R, Espino P, Escudero J, Gomez C Electroencephalogram background activity characterization with approximate entropy and auto mutual information in Alzheimer’s illness sufferers. Conf Proc IEEE Eng Med Biol Soc 2007: 619226195. Park JH, Kim S, Kim CH, Cichocki A, Kim K Multiscale entropy evaluation of EEG from individuals under various pathological circumstances. Fractals 15: 3992404. Pakaski M, Kalman J Interactions between the amyloid and cholinergic mechanisms in Alzheimer’s disease. Neurochem Int 53: 1032111. Sinnreich R, Kark J, Friedlander Y, Sapoznikov D, Luria M Five minute recordings of heart rate variability for population studies: repeatability and agesex traits. Heart 80: 1562162. Perneger Television What is wrong with Bonferroni adjustments. BMJ 316: 123621238. Beekwilder JP, Beems T Overview on the clinical applications of vagus nerve stimulation. J Clin Neurophysiol 27: 1302138. Tsai PH, Lin C, Tsao J, Lin PF, Wang Computer, et al. Empirical mode decomposition based detrended sample entropy in electroencephalography for Alzheimer’s d.