Heart rate variability is the measure of variations in the average heart rate. HRV is a measure of the variation between two different time intervals of the same subject. The methods used to calculate HRV are known as frequency-domain and time-domain methods. The former involves counting beat-to-beat amounts within a certain period of time. The latter counts low-frequency and high-frequency beats and uses the spread of heart rates as the metric.
Type of study
Depending on the type of study, HRV can be measured by using various methods. For example, the ratio of HF to LF can indicate activity in the sympathetic nervous system. The Hz values are not the number of heartbeats but the recurrence rate of each heartbeat. A Poincare plot is also used to determine HRV. It plots the RR intervals, or intervals between heartbeats.
The RMSSD method is a time-domain method used to assess heart rate variability. This technique is based on the standard deviation (SD) of the interval between each beat. It is easy to use and supports a wide variety of HRV analysis methods. Furthermore, it supports many signal preprocessing functions. Aura is an open-source forecasting tool developed by researchers and healthcare professionals. This tool is a useful tool in interpreting the data obtained from HRV.