mhrv is a matlab toolbox for calculating Heart-Rate Variability (HRV) metrics from both ECG signals and RR-interval time series. The toolbox works with ECG data in the PhysioNet WFDB data format.

# Features¶

• WFDB wrappers and helpers. A small subset of the PhysioNet WFDB tools are wrapped with matlab functions, to allow using them directly from matlab.

• ECG signal processing. Peak detection and RR interval extraction from ECG data in PhysioNet format.

• RR-intervals signal processing. Ectopic beat rejection, frequency filtering, nonlinear dynamic and fractal analysis.

• HRV Metrics. Calculating quantitative measures that indicate the activity of the heart based on RR intervals using all standard HRV metrics defined in the literature.

• Configuration. The toolbox is fully configurable with many user-adjustable parameters. Everything can be configured either globally with human readable YAML config files, or when calling the toolbox functions via matlab style key-value pair arguments.

• Plotting. All toolbox functions support plotting their output for data visualization. The plotting code is separated from the algorithmic code in order to simplify embedding this toolbox in other matlab applications.

• Top-level analysis functions. These functions work with PhysioNet records and allow streamlined HRV analysis by composing the functions of this toolbox. Supports multi-record batch analysis for calculating HRV features of large datasets.