RHRV: Heart Rate Variability Analysis of ECG Data

RHRV is a dataset for Heart Rate Variability analysis of ECG data, described by Leandro Rodríguez-Liñares. It allows for importing heartbeat data, cleaning outliers, plotting, and performing time domain, frequency domain, and nonlinear HRV analysis, as referenced in Garcia et al. (2017). The dataset's specific size, temporal coverage, and collection methodology are not detailed in the provided metadata.

Use Cases

• Perform time-domain HRV analysis based on heartbeat interval time series.
• Conduct frequency-domain HRV analysis to assess autonomic nervous system activity.
• Apply nonlinear HRV analysis methods to quantify signal complexity.
• Clean and preprocess physiological time series data by removing outliers.

Strengths

• Supports multiple common formats for importing heartbeat position data.
• Enables a full HRV analysis pipeline including time domain, frequency domain, and nonlinear methods.
• Includes functionality for data cleaning by removing physiologically unacceptable values.

Limitations

• Row count, file size, and specific column definitions are unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.
• Column-level documentation is absent; field semantics must be inferred after download.

Provenance

Source

Leandro Rodríguez-Liñares

Collection Method

Method of data gathering is not specified in the provided description.

Time Range

Temporal coverage is not specified.

Freshness

Last updated date is unknown.

Geography

Spatial coverage is not specified.