Heart Rate Variability Analysis of Healthy Individuals and Patients with Ischemia and Arrhythmia

Area of Science:

• Cardiology
• Biomedical Engineering
• Medical Informatics

Background:

• Arrhythmia and ischemic heart disease are significant cardiovascular conditions affecting cardiac activity.
• Assessing heart rate variability (HRV) provides crucial insights into autonomic nervous system function and cardiovascular health.
• Established cardiology information systems aid in the analysis of complex physiological signals like Holter monitoring data.

Purpose of the Study:

• To evaluate the impact of treatment on cardiac activity in patients with arrhythmia and ischemic heart disease.
• To compare HRV parameters between patients and a healthy control group.
• To assess the utility of an information demonstration cardiology system in analyzing cardiac recordings.

Main Methods:

• Utilized long-term (approx. 24h) Holter monitoring to record cardiac activity during daily life.
• Employed an established information demonstration cardiology system for signal processing and analysis.
• Applied linear, non-linear, and graphical methods to analyze heart rate variability (HRV).

Main Results:

• Significant increases observed in time-domain HRV parameters (SDNN, SDANN, RMSSD, SDNN index, HRVTi) in both ischemic and arrhythmia patient groups post-treatment.
• Non-linear HRV parameters (e.g., alpha) also showed improvement in both patient cohorts.
• The information system effectively processed and analyzed complex cardiac data for diagnostic insights.

Conclusions:

• Treatment positively impacts cardiac autonomic function, as evidenced by improved HRV parameters in patients with ischemia and arrhythmia.
• The analyzed HRV metrics demonstrate the effectiveness of the intervention in enhancing cardiac regulation.
• The information demonstration cardiology system is a valuable auxiliary tool for diagnosing and managing cardiovascular diseases.