Electrical impedance tomography-based temporal signals correlate with quantitative computed tomography-based spatial variables in asthma subjects: a pilot study
EIT temporal signals demonstrated significant associations with spatial metrics from CT images, as well as PFTs metrics. A frequency analysis of EIT may enhance diagnostic approaches and improve understanding of respiratory mechanics in subjects with asthma.
Authors
- Sungchul Huh (ORCID: https://orcid.org/0000-0002-7740-8050)
- Hye Ju Yeo (ORCID: https://orcid.org/0000-0002-8403-5790)
- Sanghun Choi (ORCID: https://orcid.org/0000-0001-5030-0296)
- Yuna Kim (ORCID: https://orcid.org/0000-0002-9387-3796)
- Seung Eun Lee (ORCID: https://orcid.org/0009-0004-8650-5591)
- Jinyoung Jeong
Institutions
- Kyungpook National University (KR)
- Pusan National University Yangsan Hospital (KR)
Publication Details
- Journal
- Frontiers in Physiology
- Published
- 2025-08-22
- DOI
- https://doi.org/10.3389/fphys.2025.1660948
- Primary Topic
- Electrical and Bioimpedance Tomography
- Type
- article
- Field-Weighted Citation Impact
- 0.00