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An Energy Efficient ECG Ventricular Ectopic Beat Classifier Using Binarized CNN for Edge AI Devices

Research article (IEEE Transactions on Biomedical Circuits and Systems, 2022) · cited 40× · AI/ML
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An Energy Efficient ECG Ventricular Ectopic Beat Classifier Using Binarized CNN for Edge AI Devices

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An Energy Efficient ECG Ventricular Ectopic Beat Classifier Using Binarized CNN for Edge AI Devices is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An Energy Efficient ECG Ventricular Ectopic Beat Classifier Using Binarized CNN for Edge AI Devices. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-energy-efficient-ecg-ventricular-ectopic-beat-classifier-using-binarized-cnn-for-edge-ai-devices
MLA “An Energy Efficient ECG Ventricular Ectopic Beat Classifier Using Binarized CNN for Edge AI Devices.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-energy-efficient-ecg-ventricular-ectopic-beat-classifier-using-binarized-cnn-for-edge-ai-devices.
BibTeX @misc{4ortxyz_an-energy-efficient-ecg-ventricular-ectopic-beat-classifier-using-binarized-cnn-for-edge-ai-devices_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An Energy Efficient ECG Ventricular Ectopic Beat Classifier Using Binarized CNN for Edge AI Devices}}, year = {2026}, url = {https://4ort.xyz/entity/an-energy-efficient-ecg-ventricular-ectopic-beat-classifier-using-binarized-cnn-for-edge-ai-devices}, note = {Accessed: 2026-05-24}}
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