Development of a Heart Rate Variability Prediction Equation Through Multiple Linear Regression Analysis Using Physical Characteristics and Heart Rate Variables

Figures

• 

  Figure 1.. Normal P-P plot of regression standardized residual: (A) SDNN, (B) RMSSD, (C) NN50, (D) pNN50, (E) TP, (F) VLF, (G) LF, and (H) HF. SDNN = standard deviation of the NN interval; RMSSD = square root of the mean of the sum of the square of differences between adjacent NN intervals; NN50 = number of interval differences of successive NN intervals greater than 50 ms; pNN50 = proportion derived by dividing NN50 by the total number of NN interval; TP = total power; VLF = very low-frequency power (0.00-0.04 Hz); LF = low-frequency power (0.04-0.15 Hz); HF = high-frequency power (0.15-0.040 Hz).

• 

  Figure 2.. Test of homoscedasticity of residuals (scatter plot for homoscedasticity). SDNN = standard deviation of the NN interval; RMSSD = square root of the mean of the sum of the square of differences between adjacent NN intervals; NN50 = number of interval differences of successive NN intervals greater than 50 ms; pNN50 = proportion derived by dividing NN50 by the total number of NN interval; TP = total power; VLF = very low-frequency power (0.00-0.04 Hz); LF = low-frequency power (0.04-0.15 Hz); HF = high-frequency power (0.15-0.040 Hz).

• 

  Figure 3.. Relationship between measured and predicted HRV variables: (A) SDNN, (B) RMSSD, (C) NN50, (D) pNN50, (E) TP, (F) VLF, (G) LF, and (H) HF. SDNN = standard deviation of the NN interval; RMSSD = square root of the mean of the sum of the square of differences between adjacent NN intervals; NN50 = number of interval differences of successive NN intervals greater than 50 ms; pNN50 = proportion derived by dividing NN50 by the total number of NN interval; TP = total power; VLF = very low-frequency power (0.00-0.04 Hz); LF = low-frequency power (0.04-0.15 Hz); HF = high-frequency power (0.15-0.040 Hz). Significant correlation between measured and predicted variables, **P < .01.