title: The impact of noise on the reliability of heart-rate variability and complexity analysis in trauma patients.
abstract: 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.
authors.affiliation: U.S. Army Institute of Surgical Research, Fort Sam Houston, TX, United States. Electronic address: nehemiah.liu@us.army.mil.
authors.forename: Nehemiah T
authors.initials: NT
authors.lastname: Liu
authors.forename: Andriy I
authors.initials: AI
authors.lastname: Batchinsky
authors.forename: Leopoldo C
authors.initials: LC
authors.lastname: Cancio
authors.forename: José
authors.initials: J
authors.lastname: Salinas
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D000465:Algorithms; D001794:Blood Pressure / Q000502:physiology; D003422:Critical Care / Q000379:methods*; D020000:Decision Support Systems, Clinical; D004562:Electrocardiography / Q000379:methods*; D005260:Female; D006339:Heart Rate / Q000502:physiology*; D006801:Humans; D008297:Male; D008875:Middle Aged; D008991:Monitoring, Physiologic / Q000379:methods; D009622:Noise; D012815:Signal Processing, Computer-Assisted; D014947:Wounds and Injuries / Q000453:epidemiology / Q000628:therapy; D055815:Young Adult
keywords: Automatic data processing; Clinical decision support systems; Electrocardiogram; Heart rate complexity; Heart rate variability; Signal detection analysis