Computing in cardiology · 2016 · 22 citations · 13 references
ComputingBiomedical EngineeringCardiologyBiomedical Signal ProcessingFeature EngineeringMachine LearningCardiac Signal ProcessingEnsemble MethodsFeature ExtractionFeature SelectionSignal ProcessingSupport Vector MachinesBackground NoiseCardiac Feature ExtractionHidden Markov Model TrainingSignal Quality AssessmentSignalsSupport Vector ClassificationSupport Vector Machine ClassificationWavelet Features
We aim to develop a reliable and robust algorithm that accurately analyses a single short PCG recording (10-60s) from a single precordial location to determine the presence of heart abnormality for the Physionet/ Computing-in-Cardiology 2016 challenge.
13
The class imbalance problem: A systematic study1
Nathalie Japkowicz, Shaju Stephen · Intelligent Data Analysis · 2002 · 3.3K citations
An open access database for the evaluation of heart sound algorithms
Chengyu Liu, David Springer, Qiao Li et al. · Physiological Measurement · 2016 · 803 citations · Full text