Wearable Device–Based Respiratory Complexity Analysis for Detecting Pulmonary Congestion in Patients With Heart Failure: Observational Exploratory Study
In this exploratory study, wearable-based MSE analysis distinguished hospitalized patients with HF with and those without PC, showing prolonged expiratory phases and increased respiratory amplitude complexity in the PC group.
Authors
- Qing Zhang (ORCID: https://orcid.org/0000-0002-5652-4036)
- Zhengbo Zhang (ORCID: https://orcid.org/0000-0001-9218-5644)
- Mengwei Li
- Shuanglin Zhao (ORCID: https://orcid.org/0000-0001-5570-7458)
- Lixuan Li (ORCID: https://orcid.org/0009-0007-9041-4272)
- Xiu Zhang (ORCID: https://orcid.org/0000-0002-7451-8035)
- Yu Kang (ORCID: https://orcid.org/0000-0002-8893-8698)
- Zhongfan Liu (ORCID: https://orcid.org/0000-0001-5554-1902)
Institutions
- Sichuan University (CN)
- Chinese PLA General Hospital (CN)
- West China Hospital of Sichuan University (CN)
- Qinhuangdao Science and Technology Bureau (CN)
- 82th Hospital of Pla (CN)
Publication Details
- Journal
- Journal of Medical Internet Research
- Published
- 2025-06-16
- DOI
- https://doi.org/10.2196/73488
- Primary Topic
- Heart Rate Variability and Autonomic Control
- Type
- article
- Field-Weighted Citation Impact
- 0.00