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A High Accuracy & Low Power EDR Estimation Processor for Wearable Devices

In this work, a high accuracy and low power ECG-derived respiratory (EDR) estimation processor has been proposed. Several techniques have been proposed to improve the accuracy with low computational complexity, including QRS detection using refractory period refreshing and adaptive threshold EDR estimation. Implemented using a 40nm process technology, the proposed processor achieves a low EDR estimation error of 0.73 while consuming only 97.3 nW. It is suitable for wearable flexible health monitoring devices.