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A 746 nW ECG Processor ASIC Based on Ternary Neural Network.

, , , , and . IEEE Trans. Biomed. Circuits Syst., 16 (4): 703-713 (2022)

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A 746 nW ECG Processor ASIC Based on Ternary Neural Network., , , , and . IEEE Trans. Biomed. Circuits Syst., 16 (4): 703-713 (2022)An Energy-Efficient Binarized Neural Network Using Analog-Intensive Feature Extraction for Keyword and Speaker Verification Wakeup., , , , , , and . ISCAS, page 1-5. IEEE, (2021)An ECG Processor for the Detection of Eight Cardiac Arrhythmias with Minimum False Alarms., , , , and . BioCAS, page 1-4. IEEE, (2019)A 2.63 μW ECG Processor With Adaptive Arrhythmia Detection and Data Compression for Implantable Cardiac Monitoring Device., , , , , , , , , and . IEEE Trans. Biomed. Circuits Syst., 15 (4): 777-790 (2021)A Wearable Auto-Patient Adaptive ECG Processor for Shockable Cardiac Arrhythmia., , , and . A-SSCC, page 267-268. IEEE, (2018)A 17.7-pJ/Cycle ECG Processor for Arrhythmia Detection with High Immunity to Power Line Interference and Baseline Drift., , , , , , and . A-SSCC, page 1-4. IEEE, (2020)A wearable long-term single-lead ECG processor for early detection of cardiac arrhythmia., , and . DATE, page 961-966. IEEE, (2018)A 36-nW Electrocardiogram Anomaly Detector Based on a 1.5-bit Non-Feedback Delta Quantizer for Always-on Cardiac Monitoring., , , , , , , , , and . IEEE Trans. Biomed. Circuits Syst., 18 (3): 648-661 (June 2024)A 1.92 μA Always-on ECG Monitoring Mixed-Signal SoC for Implantable Medical Application., , , , , , and . ISOCC, page 155-156. IEEE, (2022)A 2.52 μΑ Wearable Single Lead Ternary Neural Network Based Cardiac Arrhythmia Detection Processor., , , , , , and . ISCAS, page 1-4. IEEE, (2021)