title: Comparison of pulse rate variability and heart rate variability for high frequency content estimation.
abstract: Heart Rate Variability (HRV) analysis can be of precious help in most of clinical situations because it is able to quantify the Autonomic Nervous System (ANS) activity. The HRV high frequency (HF) content, related to the parasympathetic tone, reflects the ANS response to an external stimulus responsible of pain, stress or various emotions. We have previously developed the Analgesia Nociception Index (ANI), based on HRV high frequency content estimation, which quantifies continuously the vagal tone in order to guide analgesic drug administration during general anesthesia. This technology has been largely validated during the peri-operative period. Currently, ANI is obtained from a specific algorithm analyzing a time series representing successive heart periods measured on the electrocardiographic (ECG) signal. In the perspective of widening the application fields of this technology, in particular for homecare monitoring, it has become necessary to simplify signal acquisition by using e.g. a pulse plethysmographic (PPG) sensor. Even if Pulse Rate Variability (PRV) analysis issued from PPG sensors has been shown to be unreliable and a bad predictor of HRV analysis results, we have compared PRV and HRV both estimated by ANI as well as HF and HF/(HF+LF) spectral analysis on both signals.
authors.forename: R
authors.initials: R
authors.lastname: Logier
authors.forename: J
authors.initials: J
authors.lastname: De Jonckheere
authors.forename: A
authors.initials: A
authors.lastname: Dassonneville
authors.forename: M
authors.initials: M
authors.lastname: Jeanne
mesh_terms: D000465:Algorithms; D000698:Analgesia; D001341:Autonomic Nervous System / Q000502:physiology*; D004562:Electrocardiography; D006339:Heart Rate / Q000502:physiology*; D006801:Humans; D010991:Plethysmography