Evaluating Cardiac Impairment From Abnormal Respiratory Patterns: Insights From a Wireless Radar and Deep Learning Study
This study highlights the effectiveness of a wireless radar and deep learning framework for monitoring respiratory patterns that are associated with cardiac function (e.g., LVEF), underscoring its potential for long-term cardiac and sleep-disorder management.
Authors
- Ju‐Chi Liu (ORCID: https://orcid.org/0000-0001-6615-3200)
- Zong-Lin Tsai
- Chun-Chih Chiu (ORCID: https://orcid.org/0009-0004-2026-3649)
- Yu‐Hsuan Ho (ORCID: https://orcid.org/0000-0001-9443-339X)
- Wen‐Te Liu (ORCID: https://orcid.org/0000-0003-1281-8718)
- Yen-Ling Chen (ORCID: https://orcid.org/0000-0002-6089-9463)
- Chun‐Chao Chen (ORCID: https://orcid.org/0000-0002-4888-3709)
- Rong‐Nan Chien (ORCID: https://orcid.org/0000-0001-7656-4695)
- Shu‐Han Liao (ORCID: https://orcid.org/0000-0001-7758-9843)
- Yu‐Wen Huang (ORCID: https://orcid.org/0009-0007-6267-8895)
- Kang‐Yun Lee (ORCID: https://orcid.org/0000-0003-4705-5802)
- Jiunn‐Horng Kang (ORCID: https://orcid.org/0000-0002-7850-4140)
- Cheng-Yu Tsai (ORCID: https://orcid.org/0000-0002-1639-4257)
- Yung‐Ming Chen (ORCID: https://orcid.org/0000-0002-9241-1258)
- Arnab Majumdar (ORCID: https://orcid.org/0000-0002-6332-7858)
- Nai-Wen Chang (ORCID: https://orcid.org/0000-0003-2106-3126)
- H. J. Lu (ORCID: https://orcid.org/0009-0001-3763-7502)
Institutions
- Tamkang University (TW)
- Wistron (Taiwan) (TW)
- Taipei Medical University-Shuang Ho Hospital (TW)
- Imperial College London (GB)
- Taipei Medical University (TW)
Publication Details
- Journal
- IEEE Journal of Translational Engineering in Health and Medicine
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1109/jtehm.2025.3588523
- Citations
- 1
- Primary Topic
- Non-Invasive Vital Sign Monitoring
- Type
- article
- Field-Weighted Citation Impact
- 0.67
Funders
- Ministry of Science and Technology
- National Science and Technology Council