title: Comparative analysis of three different modalities for characterization of the seismocardiogram.
abstract: We introduce and compare three different modalities to study seismocardiogram (SCG) and its correlation with cardiac events. We used an accelerometer attached to the subject sternum to get a reference measure. Cardiac events were then approximately identified using echocardiography. As an alternative approximation, we used consecutive Cine-MRI images of the heart to capture cardiac movements and compared them with the experimental SCG. We also employed an anatomically accurate, finite element base electromechanical model with geometry built completely from DT-MRI to simulate a portion of the cardiac cycle as observed in the SCG signal. The preliminary results demonstrate the usability of these newly proposed methods to investigate the mechanism of SCG waves and also demonstrate the usability of echocardiograph in interpretation of these results in terms of correlating them to underlying cardiac cycle events.
authors: Computational and Electrophysiology lab, Department of Biomedical Engineering and Institute for Computational Medicine, Johns Hopkins University, 3400 N. Charles Street, CSEB Room 216, Baltimore, MD 21218, USA. akhbardeh@jhu.edu
authors: Alireza
authors: A
authors: Akhbardeh
authors: Kouhyar
authors: K
authors: Tavakolian
authors: Viatcheslav
authors: V
authors: Gurev
authors: Ted
authors: T
authors: Lee
authors: William
authors: W
authors: New
authors: Bozena
authors: B
authors: Kaminska
authors: Natalia
authors: N
authors: Trayanova
mesh_terms: D000465:Algorithms; D001698:Biomedical Engineering / Q000379:methods; D004452:Echocardiography / Q000379:methods*; D004562:Electrocardiography / Q000379:methods; D004563:Electrochemistry / Q000379:methods; D004867:Equipment Design; D020342:Finite Element Analysis; D006321:Heart / Q000502:physiology; D006801:Humans; D019028:Magnetic Resonance Imaging, Cine / Q000379:methods*; D009206:Myocardium / Q000473:pathology; D015203:Reproducibility of Results; D012815:Signal Processing, Computer-Assisted; D013314:Stress, Mechanical