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A wearable eddy current based pulmonary function sensor for continuous non-contact point-of-care monitoring during the COVID-19 pandemic.
Shahrestani, Shane; Chou, Tzu-Chieh; Shang, Kuang-Ming; Zada, Gabriel; Borok, Zea; Rao, Adupa P; Tai, Yu-Chong.
  • Shahrestani S; Department of Medical Engineering, California Institute of Technology, 1200 E California Blvd, MC 136-93, Pasadena, CA, 91125, USA. sshahres@caltech.edu.
  • Chou TC; Department of Neurosurgery, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA. sshahres@caltech.edu.
  • Shang KM; Department of Electrical Engineering, California Institute of Technology, Pasadena, CA, USA.
  • Zada G; Department of Medical Engineering, California Institute of Technology, 1200 E California Blvd, MC 136-93, Pasadena, CA, 91125, USA.
  • Borok Z; Department of Neurosurgery, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
  • Rao AP; Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
  • Tai YC; Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Sci Rep ; 11(1): 20144, 2021 10 11.
Article in English | MEDLINE | ID: covidwho-1462037
ABSTRACT
Pulmonary function testing (PFT) allows for quantitative analysis of lung function. However, as a result of the coronavirus disease 2019 (COVID-19) pandemic, a majority of international medical societies have postponed PFTs in an effort to mitigate disease transmission, complicating the continuity of care in high-risk patients diagnosed with COVID-19 or preexisting lung pathologies. Here, we describe the development of a non-contact wearable pulmonary sensor for pulmonary waveform analysis, pulmonary volume quantification, and crude thoracic imaging using the eddy current (EC) phenomenon. Statistical regression analysis is performed to confirm the predictive validity of the sensor, and all data are continuously and digitally stored with a sampling rate of 6,660 samples/second. Wearable pulmonary function sensors may facilitate rapid point-of-care monitoring for high-risk individuals, especially during the COVID-19 pandemic, and easily interface with patient hospital records or telehealth services.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Respiratory Function Tests / Point-of-Care Systems / Wearable Electronic Devices / COVID-19 / Monitoring, Physiologic Type of study: Diagnostic study / Observational study / Prognostic study Limits: Humans Language: English Journal: Sci Rep Year: 2021 Document Type: Article Affiliation country: S41598-021-99682-2

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Respiratory Function Tests / Point-of-Care Systems / Wearable Electronic Devices / COVID-19 / Monitoring, Physiologic Type of study: Diagnostic study / Observational study / Prognostic study Limits: Humans Language: English Journal: Sci Rep Year: 2021 Document Type: Article Affiliation country: S41598-021-99682-2