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tdmetrics

Compute standard time-domain indices for heart rate variability analysis.

Syntax

function metrics = tdmetrics(dtk)

Description

METRICS = TDMETRICS(DTK) computes standard time-domain metrics used in heart rate variability (HRV) analysis from interval series (DTK). METRICS is a structure containing the following time-domain metrics: - MHR - Mean heart rate (beats/min) - SDNN - Standard deviation of normal-to-normal (NN) intervals (ms) - SDSD - Standard deviation of differences between adjacent NN intervals (ms) - RMSSD - Root mean square of successive differences of NN intervals (ms) - PNN50 - Proportion of interval differences > 50ms with respect to all NN intervals ()

Source Code

View source code

Examples

% Compute time domain metrics from R-R interval series
load('ecg_data.mat'); % Load ECG data
rpeaks = pantompkins(ecg, fs); % Detect R-peaks
dtk = diff(rpeaks); % Compute R-R intervals
metrics = tdmetrics(dtk);

% Display results
fprintf('Mean HR: %.1f bpm\n', metrics.mhr);
fprintf('SDNN: %.1f ms\n', metrics.sdnn);
fprintf('RMSSD: %.1f ms\n', metrics.rmssd);
fprintf('SDSD: %.1f ms\n', metrics.sdsd);
fprintf('pNN50: %.1f %%\n', metrics.pNN50);

View detailed example

See Also

Module: HRV | Last Updated: 2025-09-04