Uncovering the dynamics of cardiac systems using stochastic pacing and frequency domain analyses

PLoS Computational Biology

Volumn 8, Issue 3, 2012, Pages

  Lemay, Mathieu ^a   de Lange, Enno ^b   Kucera, Jan P ^a  

^a UNIVERSITY OF BERN   (Switzerland)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EIGENVALUES AND EIGENFUNCTIONS; ESTIMATION; FREQUENCY DOMAIN ANALYSIS; POLES; STOCHASTIC MODELS; TRANSFER FUNCTIONS;

ACTION POTENTIAL DURATIONS; AUTOREGRESSIVE MOVING AVERAGE MODELING; CARDIAC ACTION POTENTIAL; CELL MODEL; CYCLE LENGTH; DYNAMICAL INSTABILITIES; FREQUENCY-DOMAIN ANALYSIS; STOCHASTICS; UNSTABLE DYNAMICS; VENTRICULAR CELLS;

STOCHASTIC SYSTEMS;

CALCIUM ION;

ACCURACY; AMPLITUDE MODULATION; ARTICLE; CALCIUM TRANSPORT; COMPUTER SIMULATION; CONTROLLED STUDY; HEART MUSCLE CELL; HEART MUSCLE POTENTIAL; HEART PACING; HEART RHYTHM; INTERMETHOD COMPARISON; MATHEMATICAL COMPUTING; MOLECULAR DYNAMICS; MOLECULAR MODEL; PREDICTION; PROPENSITY SCORE; SENSITIVITY ANALYSIS; STIMULUS RESPONSE; STOCHASTIC MODEL; STRUCTURE ANALYSIS; TIME SERIES ANALYSIS;

EID: 84861158961     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1002399     Document Type: Article

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