Heart rate variability in healthy subjects measured with a bedside computer-based technique

Area of Science:

• Cardiology
• Autonomic Neuroscience
• Medical Technology

Background:

• Cardiac beat-to-beat interval analysis is crucial for assessing autonomic nervous system function.
• Existing methods may lack bedside applicability or require complex analysis.

Purpose of the Study:

• To describe and validate a computer-based technique for measuring cardiac R-R intervals.
• To establish normal ranges for cardiac autonomic function parameters in healthy adults.
• To evaluate the influence of age and physiological maneuvers on these parameters.

Main Methods:

• A computer system was used to record and analyze R-R intervals in 174 healthy subjects (16-89 years).
• Measurements were taken at rest, during deep breathing, and during the Valsalva maneuver.
• Regression analysis was employed to determine age- and interval-dependent relationships and establish normal ranges.

Main Results:

• Mean resting R-R interval (654.6–1141.4 ms) was independent of sex, age, and smoking.
• Resting and deep breathing interval variations correlated with age and mean interval length.
• The Valsalva ratio was solely dependent on age.

Conclusions:

• The described computer-based technique provides a reliable method for assessing cardiac autonomic function.
• This technique is suitable for bedside application, offering a practical tool for clinical evaluation.
• Age is a significant factor influencing autonomic responses during specific maneuvers.