An Ultra-low-Power Integrated Heartbeat Detector for Wearable Sensors-Reference-Cited by-同舟云学术

An Ultra-low-Power Integrated Heartbeat Detector for Wearable Sensors

Published:2020 Issue: Volume: Page:199-211
ISSN:1867-8211
Container-title:Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Author:

Gautier Antoine,Dael Marine,Benarrouch Robin,Larras Benoit^ORCID,Frappé Antoine^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-64991-3_14

Reference17 articles.

1. Benarrouch, R., et al.: Heartbeat-based synchronization scheme for the human intranet: modeling and analysis (2020). http://arxiv.org/abs/2005.05915

2. Berwal, D., Vandana, C., Dewan, S., Jiji, C., Baghini, M.: Motion artifact removal in ambulatory ECG signal for heart rate variability analysis. IEEE Sens. J. 19(24), 12432–12442 (2019). https://doi.org/10.1109/JSEN.2019.2939391

3. Bose, S., Shen, B., Johnston, M.L.: A 20 $$\upmu $$W heartbeat detection system-on-chip powered by human body heat for self-sustaining wearable healthcare. In: 2020 IEEE International Solid-State Circuits Conference - (ISSCC), pp. 408–410 (2020). https://doi.org/10.1109/ISSCC19947.2020.9063071

4. Chen, Y., et al.: An injectable 64 nW ECG mixed-signal SoC in 65 nm for arrhythmia monitoring. IEEE J. Solid State Circuits 50(1), 375–390 (2015). https://doi.org/10.1109/JSSC.2014.2364036

5. Dong, Y., et al.: A 1.8 $$\upmu $$W 32 nV/$$\sqrt{{\rm H}}$$z current-reuse capacitively-coupled instrumentation amplifier for EEG detection. In: 2017 IEEE International Symposium on Circuits and Systems (ISCAS), pp. 1–4, May 2017. https://doi.org/10.1109/ISCAS.2017.8050494

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