Journal
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
Volume 53, Issue 1, Pages 126-132Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TBME.2005.859810
Keywords
biostatistical modeling; heart rate variability; multivariable logistic regression; sample asymmetry; sample entropy
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Funding
- PHS HHS [64640] Funding Source: Medline
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While heart rate variability has been measured in many clinical settings and has offered insights into how HR is controlled, rarely has it offered unique information that has led to changes in patient management. We review our experience in developing continuous HR characteristics monitoring to aid in the early diagnosis of sepsis in premature infants in the neonatal intensive care unit. A predictive algorithm, developed at one center and validated at another, has led to diagnosis and treatment of this subacute and potentially catastrophic illness prior to appearance of symptoms of severe illness.
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