ID: 4348251 REAL-TIME BLOOD GLUCOSE PREDICTION USING HEART RATE VARIABILITY FEATURES DERIVED FROM SINGLE-LEAD ECG
Heart rate variability (HRV) provides valuable insights into autonomic nervous system activity, which is closely linked to glucose regulation. The HRV features derived from ECG recordings provide a non-invasive approach for blood glucose (BG) prediction.
Authors
- Fa‐Po Chung (ORCID: https://orcid.org/0000-0001-8960-1301)
- Men‐Tzung Lo (ORCID: https://orcid.org/0000-0003-2630-4945)
- Yenn‐Jiang Lin (ORCID: https://orcid.org/0000-0001-8395-1052)
- S A Chen
- Chih‐Min Liu (ORCID: https://orcid.org/0000-0002-7235-273X)
- Lin Chen (ORCID: https://orcid.org/0000-0002-0775-1777)
- Chia‐Hsin Chiang (ORCID: https://orcid.org/0000-0002-7068-0473)
Publication Details
- Journal
- Heart Rhythm O2
- Published
- 2025-09-01
- DOI
- https://doi.org/10.1016/j.hroo.2025.07.039
- Primary Topic
- Non-Invasive Vital Sign Monitoring
- Type
- article
- Field-Weighted Citation Impact
- 0.00