Apr 7, 2022 · In this study, we propose a novel approach for inter-patient ECG classification using a compact 1D Self-ONN by exploiting morphological and timing information ...

We used 1D Self-. ONN layers to automatically learn morphological represen- tations from ECG data, enabling us to capture the shape of the ECG waveform around ...

We used 1D Self-ONN layers to automatically learn morphological representations from ECG data, enabling us to capture the shape of the ECG waveform around the R ...

Jul 17, 2022 · We used 1D Self-ONN layers to automatically learn morphological representations from ECG data, enabling us to capture the shape of the ECG ...

In this study, we propose a novel approach for inter-patient ECG classification using a compact 1D Self-ONN by exploiting morphological and timing information ...

Missing: Global | Show results with:Global

Compact 1D Self-Operational Neural Networks with Feature Injection for Global Ecg Classification. Authors: Sengottaiyan, N · Sathish Kumar, S · Sharma R, Rajesh

This study has demonstrated that using a compact and superior network model, a global ECG classification can still be achieved with an elegant performance level

Aug 9, 2023 · Global ECG Classification by Self Operational Neural Networks With Feature Injection. 10 views · 11 months ago ...more ...

Global ECG Classification by Self-Operational Neural Networks with Feature Injection. no code yet • 7 Apr 2022. The classification layers can thus benefit ...