Cough sounds recorded via smart devices as useful non-invasive digital biomarkers of aspiration risk: A case report

Hye Seon Kang, Eung Gu Lee, Cheol Ki Kim, Andy Jung, Catherine Song, Sun Im

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Spirometer measurements can reflect cough strength but might not be routinely available for patients with severe neurological or medical conditions. A digital device that can record and help track abnormal cough sound changes serially in a noninvasive but reliable manner would be beneficial for monitoring such individuals. This report includes two cases of respiratory distress whose cough changes were monitored via assessments performed using recordings made with a digital device. The cough sounds were recorded using an iPad (Apple, Cupertino, CA, USA) through an embedded microphone. Cough sounds were recorded at the bedside, with no additional special equipment. The two patients were able to complete the recordings with no complications. The maximum root mean square values obtained from the cough sounds were significantly reduced when both cases were diagnosed with aspiration pneumonia. In contrast, higher values became apparent when the patients demonstrated a less severe status. Based on an analysis of our two cases, the patients’ cough sounds recorded with a commercial digital device show promise as potential digital biomarkers that may reflect aspiration risk related to attenuated cough force. Serial monitoring aided the decision making to resume oral feeding. Future studies should further explore the clinical utility of this technique.

Original languageEnglish
Article number8056
JournalSensors
Volume21
Issue number23
DOIs
StatePublished - 1 Dec 2021

Bibliographical note

Funding Information:
Funding: This work was supported by a National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIT) (no. 2020R1F1A106581412). Funding sources had no role in the study design, data collection, and analysis; in the decision to publish; or in the preparation of the manuscript.

Publisher Copyright:
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.

Keywords

  • Aspiration pneumonia
  • Automatic cough segmentation
  • Case report
  • Cough
  • Digital technology
  • Telemedicine

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