Automatically computed ECG algorithm for the quantification of myocardial scar and the prediction of mortality.
Patrick BadertscherIvo StrebelUrsina HoneggerNicolas SchaerliDeborah MuellerChristian PuelacherMax WagenerRoger AbächerliJoan WalterZaid SabtiLorraine SazgaryStella MarbotJeanne du Fay de LavallazRaphael TwerenboldJasper BoeddinghausThomas NestelbergerNikola KozhuharovTobias BreidthardtSamyut ShresthaDayana FloresCarmela SchumacherDamian WildStefan OsswaldMichael J ZellwegerChristian MuellerTobias ReichlinPublished in: Clinical research in cardiology : official journal of the German Cardiac Society (2018)
The QRS-score can be computed automatically from the 12-lead ECG for simple, non-invasive and inexpensive detection and quantification of myocardial scar and for the prediction of mortality. TRIAL-REGISTRATION: http://www.clinicaltrials.gov . Identifier, NCT01838148 and NCT01831115.
Keyphrases
- cardiovascular events
- left ventricular
- heart rate variability
- heart rate
- risk factors
- machine learning
- diffusion weighted imaging
- study protocol
- deep learning
- type diabetes
- cardiovascular disease
- cardiac resynchronization therapy
- heart failure
- randomized controlled trial
- loop mediated isothermal amplification
- phase ii
- coronary artery disease
- blood pressure
- label free
- magnetic resonance
- neural network
- open label
- contrast enhanced