Conference Proceedings

Automatic Artifact Detection in Impedance Cardiogram Using Pulse Similarity Index

Mohamad Forouzanfar, Fiona C Baker, Ian M Colrain, Massimiliano de Zambotti

Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) | IEEE | Published : 2019

Abstract

Impedance cardiography (ICG) is a noninvasive technique for evaluation of cardiac hemodynamic parameters such as cardiac output and pre-ejection period. However, the sensitivity of the technique to motion artifact, electrode displacement, and cardiovascular pathologies can severely impact the accuracy of hemodynamic parameter estimates. In this paper, we proposed a new algorithm for the automatic detection and exclusion of corrupted ICG cardiac cycles by defining a pulse similarity index that quantifies the level of pulse corruption and its diversion from a typical-shaped pulse. The index considers different features (activity, structure, shape, and pattern) of the ICG cardiac cycles. The al..

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Grants

Awarded by National Institute on Alcohol Abuse and Alcoholism (NIAAA)


Awarded by National Heart, Lung, and Blood Institute (NHLBI)


Awarded by NATIONAL HEART, LUNG, AND BLOOD INSTITUTE


Awarded by NATIONAL INSTITUTE ON ALCOHOL ABUSE AND ALCOHOLISM


Funding Acknowledgements

Research supported by the National Institute on Alcohol Abuse and Alcoholism (NIAAA, R21AA024841) (to I.M.C. and M.dZ.), and National Heart, Lung, and Blood Institute (NHLBI, R01HL139652) (to M.dZ.).