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Shuang Song

Researcher at IMEC

Publications -  33
Citations -  670

Shuang Song is an academic researcher from IMEC. The author has contributed to research in topics: Signal & Amplifier. The author has an hindex of 11, co-authored 29 publications receiving 380 citations. Previous affiliations of Shuang Song include Zhejiang University & Katholieke Universiteit Leuven.

Papers
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Journal ArticleDOI

Motion artifact reduction for wrist-worn photoplethysmograph sensors based on different wavelengths

TL;DR: The proposed MA removal method reduced the average error in HR estimation from 4.3, 3.0 and 3.8 bpm to 0.6, 1.6 and 2.1 bpm in periodic, random, and continuous non-periodic motion situations, respectively.
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A Low-Voltage Chopper-Stabilized Amplifier for Fetal ECG Monitoring With a 1.41 Power Efficiency Factor

TL;DR: This paper presents a low-voltage current-reuse chopper-stabilized frontend amplifier for fetal ECG monitoring that allows for individual tuning of the noise in each measurement channel, minimizing the total power consumption while satisfying all application requirements.
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A 769 μW Battery-Powered Single-Chip SoC With BLE for Multi-Modal Vital Sign Monitoring Health Patches

TL;DR: An all-in-one battery powered low-power SoC for measuring multiple vital signs with wearables is proposed, allowing an unprecedented level of miniaturization leading to smaller component count which reduces cost and improves comfort and signal integrity.
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Influence of electrode placement on signal quality for ambulatory pregnancy monitoring

TL;DR: Requirement for reliable fetal monitoring using a minimal number of electrodes using a dipole-based model is determined based on simulations and measurement results, and a significant influence of bipolar lead orientation on maternal and fetal ECG measurement quality is shown.
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A 36 μW 1.1 mm 2 Reconfigurable Analog Front-End for Cardiovascular and Respiratory Signals Recording

TL;DR: The R-AFE achieves competitive performance compared to the state-of-the-art dedicated readout ICs of ECG, BioZ, GSR, and PPG, but with approximately 1.4×–5.3× smaller chip area per channel.