A refined method of quantifying deceleration capacity index for heart rate variability analysis

Area of Science:

• Cardiology
• Autonomic Nervous System Research
• Medical Signal Processing

Background:

• Phase-rectified signal averaging (PRSA) is widely used for cardiac vagal modulation assessment.
• PRSA is confounded by abnormal sinus rhythms, limiting its accuracy.
• Improving PRSA for deceleration capacity (DC) quantification is crucial.

Purpose of the Study:

• To refine the PRSA method for more accurate DC quantification.
• To develop a refined DC (DCref) that excludes non-vagally mediated abnormal sinus rhythms.
• To validate DCref against the original DC (DCorg) in distinguishing healthy subjects from ESRD patients.

Main Methods:

• Calculated DCref by excluding non-vagally mediated abnormal sinus rhythms.
• Utilized Holter recordings from 202 healthy subjects and 51 end-stage renal disease (ESRD) patients.
• Compared DCref and DCorg performance using receiver operating characteristic (ROC) curve analysis.

Main Results:

• DCref and DCorg were significantly lower in ESRD patients compared to healthy controls across various recording durations.
• DCref demonstrated superior performance over DCorg in ROC analysis for distinguishing ESRD patients.
• The refined PRSA technique improved spectral analysis in ESRD patients by enhancing low and attenuating high-frequency components.

Conclusions:

• DCref effectively reduces the impact of abnormal sinus rhythms, highlighting pathological influences.
• DCref, particularly from short-term ECG, can complement existing autonomic function assessments.
• DCref shows potential for risk stratification and efficacy prediction in cardiovascular conditions.