Title :
Assessing sympatho-vagal balance in schizophrenia through Tone-Entropy analysis
Author :
Khandoker, Ahsan H. ; Fujibayashi, Mami ; Moritani, Toshio ; Palaniswami, Marimuthu
Author_Institution :
Univ. of Melbourne, Melbourne, VIC, Australia
Abstract :
Although schizophrenia patients more likely commit suicide, however, more than two thirds of patients with schizophrenia, compared with approximately one-half in the general population, die of coronary heart disease (CHD). The aim of this study, therefore, is to determine whether Tone-Entropy (T-E) analysis method can determine how and to what extend the symaptho-vagal balance is altered with the severity of psychiatric disorders as determined by Global Assessment of Functioning (GAF) scale. Tone represents sympatho-vagal balance and entropy, the autonomic regularity activity. This study included 32 high-GAF, 32 low-GAF and 118 healthy control subjects. Evaluated tones and are significantly (p<;0.01) different among three groups. The significantly higher tone and lower entropy in the low-GAF group might suggest altered sympatho-vagal balance which could predict increasing risks of cardiovascular death.
Keywords :
brain; cardiovascular system; electrocardiography; entropy; medical disorders; medical signal processing; neurophysiology; psychology; ECG signals; autonomic regularity activity; brain disorder; cardiovascular death; global assessment of functioning scale; psychiatric disorders; schizophrenia; sympatho-vagal balance; tone-entropy analysis method; Autonomic nervous system; Cardiology; Entropy; Heart rate variability;
Conference_Titel :
Computing in Cardiology, 2010
Conference_Location :
Belfast
Print_ISBN :
978-1-4244-7318-2