Key result
A cardiorespiratory monitoring dataset of ECGs was divided into a graded training set of 1000 records and two 500-record test sets to evaluate signal quality algorithms.
Describes a dataset of 2000 ECGs partitioned for training and testing algorithms for signal quality assessment via PhysioNet.
No takes yet. Share an insight, caveat, or question.
Facilitates standardized ECG signal quality algorithm benchmarking; leaves open clinical validation and workflow integration.
Clifford et al. (2012) studied this question. A cardiorespiratory monitoring dataset of ECGs was divided into a graded training set of 1000 records and two 500-record test sets to evaluate signal quality algorithms.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: