Blood pressure measurement artifact rejection in noisy environments

Abstract

A novel ambulatory blood pressure monitor shows high accuracy even in the presence of an artifact. Signal processing algorithms separate true blood-pressure signals from noise induced by the environment or by subject motion. The algorithms adaptively utilize timing information obtained from ECG and Korotkov sound signals as well as Korotkov sound magnitude. A clinical study verified highly accurate results in an exercise stress testing environment. An independent study verified that the monitor produces highly accurate results in stress test and ambulatory environments.<>