Cited by 122Non-Invasive Vital Sign MonitoringAdvanced Sensor and Energy Harvesting MaterialsWireless Body Area Networks

Differential cardiopulmonary monitoring system for artifact-canceled physiological tracking of athletes, workers, and COVID-19 patients

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Jeong, Hyoyoung, Lee, Jong Yoon, Lee, KunHyuck, Kang, Youn J., Kim, Jin-Tae, Avila, Raudel, Tzavelis, Andreas, Kim, Joohee +23 more·2021·Science Advances

Abstract

Wearable electronics with dual-sensing modalities enable artifact-free health monitoring through differential detection.

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Crossref · 10.1126/sciadv.abg3092

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  • IMUs with high sampling frequency characteristics (3.3 or 6.6 kHz) can capture high spectral features to measure acoustic signals in addition to mechanical signals induced by cardiac activities.

    “However, IMUs with high sampling frequency characteristics (3.3 or 6.6 kHz) can capture high spectral features to measure acoustic signals in addition to mechanical signals induced by cardiac activities (26, 27).”

    From Miniaturized wireless, skin-integrated sensor networks for quantifying full-body movement behaviors and vital signs in infants (2021) · cites this paper as [27]

    The Introduction says high-bandwidth accelerometers capture both skin motions associated with cardiac activity and features of body sounds. Materials and Methods reports a 1,666-Hz sampling rate adjustable up to 6,664 Hz, supporting the approximate 6.6-kHz figure, but our copy does not specify a 3.3-kHz rate. (LLM, conf=0.84)

    Experimental — accuracy not yet measured

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Authors
Jeong, H., Lee, J. Y., Lee, K., Kang, Y. J., Kim, J.-T., Avila, R., Tzavelis, A., Kim, J., Ryu, H., Kwak, S. S., Kim, J. U., Banks, A., Jang, H., Chang, J.-K., Li, S., Mummidisetty, C. K., Park, Y., Nappi, S., Chun, K. S., Lee, Y. J., Kwon, K., Ni, X., Chung, H. U., Luan, H., Kim, J.-H., Wu, C., Xu, S., Banks, A., Jayaraman, A., Huang, Y., & Rogers, J. A.
Affiliations
  • Northwestern University (US)
  • Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA.
  • University of Wisconsin–Madison (US)
  • Wearifi (United States) (US)
  • Shirley Ryan AbilityLab (US)
  • University of Rome Tor Vergata (IT)
  • The University of Texas at Austin (US)
  • Sibel (United States) (US)
Corresponding author
  • Jeong, Hyoyoung
  • Lee, Jong Yoon
  • Lee, KunHyuck
  • Kang, Youn J.
  • Kim, Jin-Tae
  • Rogers, John A.
Venue
Science Advances
Published
2021-05-14
Volume
7
Issue
20
ISSN
2375-2548 (ISSN-L)
OpenAlex
W3161949382
Cited by
121
References
56
Citations by year
2026: 20 · 2025: 21 · 2024: 26 · 2023: 25 · 2022: 24 · 2021: 5
FWCI
6.05
Type
journal article
Language
en
Open access
Locations
  • Science Advances (publishedVersion, cc-by-nc)
  • PubMed Central (publishedVersion, cc-by-nc)
  • PubMed (publishedVersion)
  • eScholarship (California Digital Library) (submittedVersion, cc-by-nc)
Funders
  • National Institutes of Health (R41AG062023, R43AG060812, R41AG062023-02S1)
  • Michael J. Fox Foundation for Parkinson’s Research (17777)
  • Querrey-Simpson Institute for Bioelectronics at Northwestern University
  • Biomedical Advanced Research and Development Authority (75A50119C00043)
  • Calvin Ju Foundation
Topics
  • Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
  • Physical Sciences › Engineering › Biomedical Engineering › Advanced Sensor and Energy Harvesting Materials
  • Physical Sciences › Engineering › Biomedical Engineering › Wireless Body Area Networks
Keywords
differential sensing, motion artifact removal, accelerometer, cardiorespiratory monitoring, heart rate monitoring, respiratory monitoring, body temperature sensing, COVID-19 surveillance, ambulatory monitoring, athletes, workers
MeSH terms
Wearable Electronic Devices, COVID-19, SARS-CoV-2, Body Temperature, Heart Rate, Humans, Monitoring, Physiologic, Exercise, Electrocardiography, Ambulatory, Accelerometry

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