Investigation of heart rate variability of patients undergoing coronary artery bypass grafting using the statistical...

Area of Science:

• Cardiology
• Biomedical Engineering
• Physiology

Background:

• Autonomic function is assessed non-invasively via heart rate variability (HRV).
• HRV analysis in patients undergoing coronary artery bypass grafting (CABG) is crucial for understanding operational effects on patient status.
• Previous studies highlight the importance of HRV in cardiovascular health monitoring.

Purpose of the Study:

• To evaluate the impact of CABG surgery on patients with ischemic heart disease (IHD) before and after the procedure.
• To monitor patient status on day 6 and day 30 post-CABG using HRV.
• To establish the relationship between novel SSC parameters and traditional HRV metrics.

Main Methods:

• Employed the statistical signal characterization (SSC) technique to derive morphology-based parameters.
• Analyzed HRV in 24 patients undergoing CABG across three groups: pre-operation (G1), 6 days post-operation (G2), and 30 days post-operation (G3).
• Collected data from Sultan Qaboos University Hospital, Oman.

Main Results:

• SSC parameters Mean(mt) and Mean(dt) showed reductions in G2 compared to G1 for all 24 and 23 patients, respectively.
• Comparing G3 to G1, reductions in Mean(mt) and Mean(dt) were observed in 18 of the 24 patients.
• These findings suggest a trend of autonomic recovery or adaptation post-CABG.

Conclusions:

• The SSC parameters Mean(mt) and Mean(dt) are effective for monitoring HRV in patients undergoing CABG surgery.
• Established a relationship between SSC parameters and traditional time-domain and frequency-domain HRV parameters.
• This study provides insights into the physiological behavior of patients post-CABG.