Extracting Cardiac Information From Medical Radar Using Locally Projective Adaptive Signal Separation.

ABSTRACT: Electrocardiography is the gold standard for electrical heartbeat activity, but offers no direct measurement of mechanical activity. Mechanical cardiac activity can be assessed non-invasively using, e.g., ballistocardiography and recently, medical radar has emerged as a contactless alternative modality. However, all modalities for measuring the mechanical cardiac activity are affected by respiratory movements, requiring a signal separation step before higher-level analysis can be performed. This paper adapts a non-linear filter for separating the respiratory and cardiac signal components of radar recordings. In addition, we present an adaptive algorithm for estimating the parameters for the non-linear filter. The novelty of our method lies in the combination of the non-linear signal separa

SUBMITTER: Yao Y 

PROVIDER: S-EPMC6536597 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature