Noise Cancellation Model Validation for Reduced Motion Artifact Wearable PPG Sensors Using MEMS Accelerometers
Abstract
This paper investigates the validity of utilizing Widrow's Active Noise Cancellation (ANC) in the context of motion artifact reduction for photoplethysmogram (PPG) sensors. The ANC approach has previously been applied to the PPG problem, but little consideration has been given to the validity of the ANC signal corruption assumptions and in what motion range the algorithm works. The ANC validity testing is done in the form of impact (approximate impulse) testing of the physical PPG system and comparing with the modeled response for a range of motion amplitudes. The testing reveals that the identified corruption model does not generally represent the true physical system, but locally approximates the true system. Testing shows that if a similar motion amplitude is used for model tuning as the impact test, an average peak deviation of 5.2% is obtained, but if motion amplitude that is smaller than the impact amplitude by a factor of 5, the peak deviation is 15%. Finally, after ANC filtering motion corrupted data, heart rate can be estimated with less than 1.6% error.
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Ambulatory data measured with wearable sensors, mobile phones, and surveys tend to be noisy.
“Ambulatory data measured with wearable sensors, mobile phones, and surveys tend to be noisy.”
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- Authors
- Wood, L. B., & Asada, H. H.
- Affiliations
- Massachusetts Institute of Technology (US)
- Venue
- 2006 International Conference of the IEEE Engineering in Medicine and Biology Society
- Publisher
- IEEE
- Published
- 2006-08
- Volume
- 2006
- Pages
- 3525-3528
- ISSN
- 2375-7477 (ISSN-L)
- OpenAlex
- W2107290914
- Cited by
- 39
- References
- 12
- Citations by year
- 2024: 3 · 2023: 2 · 2022: 3 · 2021: 1 · 2020: 1 · 2019: 3 · 2018: 2 · 2017: 3 · 2015: 4 · 2014: 4 · 2013: 1 · 2012: 3
- FWCI
- 4.04
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Heart Rate Variability and Autonomic Control
- Physical Sciences › Engineering › Computational Mechanics › Advanced Adaptive Filtering Techniques
- Keywords
- active noise control, motion artifact reduction, photoplethysmography, wearable sensors, MEMS accelerometer, impact testing, model validation, heart rate estimation
- MeSH terms
- Acceleration, Biomedical Engineering, Equipment Design, Humans, Motion, Signal Processing, Computer-Assisted, Models, Statistical, Photoplethysmography, Monitoring, Ambulatory
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