Table 1.
Summary of prior probability density functions used for each parameter in the Bayesian calculations. The means and standard deviations define Gaussian probability densities bounded by the low and the high values.
Parameter |
||||||
---|---|---|---|---|---|---|
H | L | x1 | x2 | x3 | x4 | |
(dB) | (dB) | (Percentage of Heart Cycle) | ||||
Low | −10 | −10 | 0 | 0 | 0 | 0 |
Mean | 0 | 0 | 50 | 50 | 50 | 50 |
High | 10 | 10 | 100 | 100 | 100 | 100 |
Standard Deviation | 10 | 10 | 50 | 50 | 50 | 50 |