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Motion Artifact Reduction for Wrist-Worn Photoplethysmograph Sensors Based on Different Wavelengths., , , , , , , and . Sensors, 19 (3): 673 (2019)An ECG patch combining a customized ultra-low-power ECG SoC with Bluetooth low energy for long term ambulatory monitoring., , , , , , and . Wireless Health, page 15. ACM, (2011)PHIDIAS: ultra-low-power holistic design for smart bio-signals computing platforms., , , , , , , , , and 2 other author(s). Conf. Computing Frontiers, page 309-314. ACM, (2016)A 16384-electrode 1024-channel multimodal CMOS MEA for high-throughput intracellular action potential measurements and impedance spectroscopy in drug-screening applications., , , , , , , , , and 1 other author(s). ISSCC, page 464-466. IEEE, (2018)A 0.6V 3.8μW ECG/bio-impedance monitoring IC for disposable health patch in 40nm CMOS., , , , , , and . CICC, page 1-4. IEEE, (2018)A Wearable Wrist-Band with Compressive Sensing based Ultra-Low Power Photoplethysmography Readout Circuit., , , , , , , and . BSN, page 1-4. IEEE, (2019)BiometricNet: Deep Learning based Biometric Identification using Wrist-Worn PPG., , , , , , , , and . ISCAS, page 1-5. IEEE, (2018)A 36 μW 1.1 mm2 Reconfigurable Analog Front-End for Cardiovascular and Respiratory Signals Recording., , , , , , , and . IEEE Trans. Biomed. Circuits and Systems, 12 (4): 774-783 (2018)A 108dB DR Hybrid-CTDT Direct-Digitalization ΔΣ-ΣM Front-End with 720mVpp Input Range and >300mV Offset Removal for Wearable Bio-Signal Recording., , , , , , , and . VLSI Circuits, page 296-. IEEE, (2019)A 160 $A$ Biopotential Acquisition IC With Fully Integrated IA and Motion Artifact Suppression., , , , , and . IEEE Trans. Biomed. Circuits and Systems, 6 (6): 552-561 (2012)