Litcius/Paper detail

A real-time embedded system to detect QRS-complex and arrhythmia classification using LSTM through hybridized features

Meghana Karri, Chandra Sekhara Rao Annavarapu

2022Expert Systems with Applications40 citationsDOI

Topics & Concepts

QRS complexComputer scienceArtificial intelligencePattern recognition (psychology)Offset (computer science)Artificial neural networkCardiac arrhythmiaDiscrete wavelet transformAlgorithmWaveletWavelet transformMedicineCardiologyAtrial fibrillationProgramming languageECG Monitoring and AnalysisEEG and Brain-Computer InterfacesCardiac electrophysiology and arrhythmias
A real-time embedded system to detect QRS-complex and arrhythmia classification using LSTM through hybridized features | Litcius