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Glossary

Core Concepts

RR Interval
Time between consecutive heartbeats (R-peaks on ECG), measured in milliseconds. Also called inter-beat interval (IBI).
NN Interval
"Normal-to-Normal" interval — RR intervals after removing artifacts and ectopic beats. HRV metrics are computed from NN intervals, not raw RR intervals.
Heart Rate Variability (HRV)
The variation in time intervals between consecutive heartbeats. Higher HRV generally indicates better cardiovascular health and autonomic flexibility.
Tachogram
A plot of RR (or NN) intervals over time. The primary visual tool for inspecting heart rate recordings.

Time-Domain Metrics

RMSSD (Root Mean Square of Successive Differences)
The square root of the mean squared differences between consecutive NN intervals. Primary marker of parasympathetic (vagal) activity. Most robust short-term metric.
SDNN (Standard Deviation of NN intervals)
Overall variability of the NN interval series. Reflects total autonomic modulation (both sympathetic and parasympathetic). Strongly influenced by recording length.
pNN50 (Proportion of NN50)
Percentage of consecutive NN intervals differing by more than 50 ms. Correlates with RMSSD; reflects parasympathetic tone.
Mean HR (Mean Heart Rate)
Average heart rate in beats per minute (BPM), derived from NN intervals: HR = 60000 / mean(NN).
Mean NN
Average NN interval in milliseconds.

Frequency-Domain Metrics

VLF (Very Low Frequency)
Power in the 0.003–0.04 Hz band. Reflects thermoregulation and hormonal fluctuations. Requires recordings > 5 minutes.
LF (Low Frequency)
Power in the 0.04–0.15 Hz band. Reflects both sympathetic and parasympathetic modulation plus baroreflex activity. Not a pure sympathetic marker.
HF (High Frequency)
Power in the 0.15–0.4 Hz band. Primarily reflects parasympathetic (vagal) activity and respiratory sinus arrhythmia.
LF/HF Ratio
Ratio of LF to HF power. Previously interpreted as sympathovagal balance, this interpretation is now considered invalid (Quigley et al., 2024). Included for legacy compatibility.

Nonlinear Metrics

SD1 (Poincaré Plot)
Short-term variability from the Poincaré plot (width of the point cloud perpendicular to the line of identity). Mathematically related to RMSSD.
SD2 (Poincaré Plot)
Long-term variability from the Poincaré plot (length of the point cloud along the line of identity). Related to SDNN.

Quality & Artifacts

Artifact
An anomalous RR interval caused by measurement error, movement, or ectopic beats. Must be detected and corrected before analysis.
Ectopic Beat
A heartbeat originating from an abnormal location in the heart (premature atrial or ventricular contraction). Produces a short RR interval followed by a long one.
Artifact Rate
Percentage of detected artifacts relative to total beats. Critical quality indicator — segments with > 10% should be excluded.
Quality Grade (Quigley 2024)
Quality classification based on artifact rate: Excellent (≤ 2%); Good (2–5%); Moderate (5–10%, time-domain only); Poor (> 10%, excluded). Segments with fewer than 50 beats are excluded regardless of artifact rate.
Kubios Algorithm
Artifact detection method by Lipponen & Tarvainen (2019). Classifies artifacts as extra beats, missed beats, or misaligned. Used in NeuroKit2's signal_fixpeaks.

Application Concepts

Section
A time range defined by experimental events (e.g., "measurement_start" to "pause_start"). Used for protocol-based analysis.
Segment
A fixed-duration time window (e.g., 5 minutes) used for artifact detection and quality assessment. Generated automatically.
Event Sequence
The order of experimental conditions assigned to a participant (e.g., music → silence → music). Supports counterbalanced designs.
Condition Label
Human-readable name for a condition type (e.g., "condition_a" → "Relaxing Music").
Canonical Event
A standardized event name (e.g., measurement_start) that maps to various raw labels from recording devices (e.g., "Messung Start", "Begin recording").
Project
A folder containing configuration files (config/*.yml) and data. Projects keep settings isolated between studies.

References

  • Lipponen, J. A., & Tarvainen, M. P. (2019). A robust algorithm for heart rate variability time series artefact correction using novel beat classification. Journal of Medical Engineering & Technology, 43(3), 173–181. doi:10.1080/03091902.2019.1640306
  • Quigley, K. S., et al. (2024). Publication guidelines for human heart rate and heart rate variability studies in psychophysiology. Psychophysiology, 61(9), e14604. doi:10.1111/psyp.14604
  • Task Force of ESC and NASPE (1996). Heart rate variability: Standards of measurement, physiological interpretation, and clinical use. Circulation, 93(5), 1043–1065. doi:10.1161/01.CIR.93.5.1043
  • Quintana, D. S., et al. (2016). Guidelines for reporting articles on psychiatry and heart rate variability (GRAPH). Translational Psychiatry, 6(5), e803. doi:10.1038/tp.2016.73