Autoencoder-Based Motion Artifact Reduction in Photoplethysmography (PPG) Signals Acquired from Wearable Sensors during Construction Tasks
Author:
Affiliation:
1. Ph.D. Student, Dept. of Civil and Environmental Engineering, Univ. of Illinois Urbana-Champaign, Champaign, IL.
2. Assistant Professor, Dept. of Civil and Environmental Engineering, Univ. of Illinois Urbana-Champaign, Champaign, IL.
Publisher
American Society of Civil Engineers
Link
https://ascelibrary.org/doi/pdf/10.1061/9780784485293.072
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2. Asada H. H. H. H. Jiang and P. Gibbs. 2004. “Active noise cancellation using MEMS accelerometers for motion-tolerant wearable bio-sensors.” Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings 26 III: 2157–2160. https://doi.org/10.1109/IEMBS.2004.1403631.
3. Health Risk Behavior Profile of Construction Workers, 32 States, 2013 to 2016;Boal W. L.;J Occup Environ Med,2020
4. Chen W. N. Jaques S. Taylor A. Sano S. Fedor and R. W. Picard. 2015. “Wavelet-based motion artifact removal for electrodermal activity.” Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society EMBS 2015-November: 6223–6226. Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/EMBC.2015.7319814.
5. Detection of motion artifact patterns in photoplethysmographic signals based on time and period domain analysis;Couceiro R.;Physiol Meas,2014
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