載入...
Prediction of Sudden Cardiac Death Risk with a Support Vector Machine Based on Heart Rate Variability and Heartprint Indices
Most methods for sudden cardiac death (SCD) prediction require long-term (24 h) electrocardiogram recordings to measure heart rate variability (HRV) indices or premature ventricular complex indices (with the heartprint method). This work aimed to identify the best combinations of HRV and heartprint...
Na minha lista:
| 發表在: | Sensors (Basel) |
|---|---|
| Main Authors: | , , , |
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
MDPI
2020
|
| 主題: | |
| 在線閱讀: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7582608/ https://ncbi.nlm.nih.gov/pubmed/32992675 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20195483 |
| 標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|