Title :
Assessment of cardiovascular status through the pattern variability of blood pressure signal
Author :
Kanjilal, Pp ; Gonzalez, Rr
Author_Institution :
US Army Res. Inst. of Environ. Med., Natick, MA, USA
Abstract :
Any periodic or nearly periodic signal can be characterized by three periodicity attributes: the period length, the shape or pattern of the repetitive segments, and the scaling factors associated with the successive periodic segments. The pattern variability series derived from the blood pressure signal for normal and diseased subjects are examined. For the healthy subjects the pattern variability is found to be distinctly nondeterministic, whereas they are found to be deterministic for subjects with cardiovascular problems
Keywords :
cardiovascular system; diseases; haemodynamics; medical signal detection; nonlinear dynamical systems; singular value decomposition; blood pressure signal; cardiovascular problems; cardiovascular status; deterministic; diseased subjects; healthy subjects; nearly periodic signal; nondeterministic; nonlinear dynamical analysis; normal subjects; pattern variability; pattern variability series; period length; periodic signal; periodicity attribute; repetitive segment pattern; repetitive segment shape; scaling factors; successive periodic segments; Arterial blood pressure; Blood pressure; Cardiology; Electrocardiography; Heart rate variability; Instruments; Matrix decomposition; Shape; Singular value decomposition; USA Councils;
Conference_Titel :
Computers in Cardiology 2000
Conference_Location :
Cambridge, MA
Print_ISBN :
0-7803-6557-7
DOI :
10.1109/CIC.2000.898561