pyhctsa.operations.medical.hrv_classic¶
- pyhctsa.operations.medical.hrv_classic(y)¶
Compute classic heart rate variability (HRV) statistics.
This function computes a variety of standard time-domain, frequency-domain, and geometric HRV measures from a time series of RR (or NN) intervals. The input is typically assumed to be in seconds.
The following categories of HRV features are included:
1. pNNx measures Measures the proportion of interval differences greater than a given threshold x [1].
2. Frequency-domain measures Power spectral density ratios computed over standard frequency bands (e.g., LF, HF) [2].
3. Triangular histogram index A geometric measure of HRV based on the shape of the RR interval histogram.
4. Poincaré plot measures (SD1, SD2) Geometric descriptors of the Poincaré plot reflecting short- and long-term variability [3].
This implementation is adapted from original MATLAB code by Max A. Little (http://www.maxlittle.net/).
References