TY - CHAP M1 - Book, Section TI - Chapter 16. Graphical Analysis of Heart Rate Patterns to Assess Cardiac Autonomic Function A1 - Stein, Phyllis K. A1 - Pantazopoulos, Panagiotis A2 - Pahlm, Olle A2 - Wagner, Galen S. PY - 2011 T2 - Multimodal Cardiovascular Imaging: Principles and Clinical Applications AB - A continuous electrocardiogram, whether from a Holter recording, an intensive care unit monitor, an overnight polysomnogram, or even a short-term recording, provides a signal that can yield information about the morphology and time of onset of each heartbeat. This information, exported as a "beat file" provides the basis for multiple ways of quantifying and categorizing heart rate variability (HRV), in most cases based on intervals between normal to normal (N-N) heartbeats only. The various methods for quantifying HRV (eg, time domain, frequency domain, nonlinear) and their relationship to cardiac autonomic function have been described in multiple excellent reviews elsewhere.1-3 Less appreciated is the power of using graphical images, also derived from beat files, to obtain information about normal and abnormal cardiac autonomic function, sinus node function, and sleep-disordered breathing. SN - PB - The McGraw-Hill Companies CY - New York, NY Y2 - 2024/03/29 UR - accessmedicine.mhmedical.com/content.aspx?aid=8763541 ER -