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

fYear

2000

fDate

2000

Firstpage

477

Lastpage

480

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Computers in Cardiology 2000

Conference_Location

Cambridge, MA

ISSN

0276-6547

Print_ISBN

0-7803-6557-7

Type

conf

DOI

10.1109/CIC.2000.898561

Filename

898561