| Title | The impact of noise on the reliability of heart-rate variability and complexity analysis in trauma patients. | ||
| Author | Liu, Nehemiah T; Batchinsky, Andriy I; Cancio, Leopoldo C; Salinas, Jose | ||
| Journal | Comput Biol Med | Publication Year/Month | 2013-Nov |
| PMID | 24209941 | PMCID | -N/A- |
| Affiliation | 1.U.S. Army Institute of Surgical Research, Fort Sam Houston, TX, United States. Electronic address: nehemiah.liu@us.army.mil. | ||
This study focused on the impact of noise on the reliability of heart-rate variability and complexity (HRV, HRC) to discriminate between different trauma patients and to monitor individual patients. Life-saving interventions (LSIs) were chosen as an endpoint because performance of LSIs is a critical aspect of trauma patient care. Noise was modeled and simulated by modifying original R-R interval (RRI) sequences via decimation, concatenation, and division of RRIs, as well as R-wave detection using the electrocardiogram. Results showed that under increasing simulated noise, entropy and autocorrelation measures can still effectively discriminate between LSI and non-LSI patients and monitor individuals over time.