HRVanalysis

HRVanalysis analyzes heart rate variability (HRV) to quantify cardiac autonomic activity from RR interval and EKG recordings.

Key Features:

• Standard short- and long-term RR analysis: Performs standard analysis over both short and long periods of RR intervals.
• Time-frequency analysis: Implements advanced time-frequency analysis using wavelet transform.
• Event-based autonomic status analysis: Analyzes autonomic nervous system status in relation to scored events or preselected labeled areas.
• Batch processing for large datasets: Supports batch mode signal processing for large cohort studies.
• Flexible data input: Processes RR or EKG files from cardiofrequencemeters, Holter monitors, polygraphs, and data acquisition systems.
• Results export: Outputs results as figures or saves data in TXT files for use in statistical software.

Scientific Applications:

• Health prediction: Supports analyses used for health-risk and physiological status prediction from HRV metrics.
• Training and rehabilitation: Applies to exercise training monitoring and cardiac and respiratory rehabilitation assessments.
• Sleep-disordered breathing studies: Used for HRV analysis in studies of sleep-disordered breathing.
• Large cohort follow-ups: Enables longitudinal HRV analysis in large cohort studies.
• Pediatric autonomic assessment: Applies to autonomic function assessment in pediatric populations.
• Anesthesia monitoring: Supports autonomic monitoring in anesthesia-related investigations.
• Neurophysiological investigations: Used in studies linking autonomic activity and neurophysiology.

Methodology:

Performs standard analyses on short- and long-period RR interval series; applies time-frequency analysis using wavelet transform; conducts event-related autonomic status analysis relative to scored events or preselected labeled areas; employs a range of calculation methods developed since the 1960s; exports results as figures or TXT files.