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Low-Power ECG-Based Processor for Predicting Ventricular Arrhythmia.

, , , , , and . IEEE Trans. Very Large Scale Integr. Syst., 24 (5): 1962-1974 (2016)

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Ultra-Low Power, Secure IoT Platform for Predicting Cardiovascular Diseases., , , , , and . IEEE Trans. Circuits Syst. I Regul. Pap., 64-I (9): 2624-2637 (2017)Survey of wireless baseband SoC for biomedical application., , , , and . ICECS, page 98-99. IEEE, (2013)ASIC Implementation of a Pre-Trained Neural Network for ECG Feature Extraction., , , , and . ISCAS, page 1-5. IEEE, (2020)Adaptive ECG interval extraction., , , , , , and . ISCAS, page 998-1001. IEEE, (2015)Fused floating point arithmetic for discrete wavelet transform., , , and . MWSCAS, page 1-4. IEEE, (2016)A biomedical SoC architecture for predicting ventricular arrhythmia., , , , and . ISCAS, page 2262-2265. IEEE, (2016)A 65-nm low power ECG feature extraction system., , , , and . ISCAS, page 746-749. IEEE, (2015)Low-Power ECG-Based Processor for Predicting Ventricular Arrhythmia., , , , , and . IEEE Trans. Very Large Scale Integr. Syst., 24 (5): 1962-1974 (2016)Power management unit for multi-source energy harvesting in wearable electronics., , , , and . MWSCAS, page 1-4. IEEE, (2016)Adaptive technique for P and T wave delineation in electrocardiogram signals., , , , , and . EMBC, page 90-93. IEEE, (2014)