Why the study?
Does a DSP-based arrhythmia classification method using wavelet transform and probabilistic neural network accurately classify heartbeat conditions compared to MATLAB implementation?
Population
17 ECG records obtained from the PhysioNet repository
Comparison
DSP-based arrhythmia classification method using… vs MATLAB implementation (off-line)
Design
Other
Authors
Loading...
Real-time DSP arrhythmia classification demonstrated; leaves open clinical validation before ambulatory adoption.
Does a DSP-based arrhythmia classification method using wavelet transform and probabilistic neural network accurately classify heartbeat conditions compared to MATLAB implementation?
A DSP-based arrhythmia classification algorithm using wavelet transform and probabilistic neural networks demonstrates high accuracy for real-time ambulatory ECG monitoring.
Gnecchi et al. (2016) studied this question.
Synapse has enriched 4 closely related papers on similar clinical questions. Consider them for comparative context: