View source: R/derive_param_qtc.R
| compute_qtc | R Documentation |
Computes corrected QT using Bazett's, Fridericia's or Sagie's formula.
compute_qtc(qt, rr, method)
qt |
QT interval A numeric vector is expected. It is expected that QT is measured in ms or msec.
|
rr |
RR interval A numeric vector is expected. It is expected that RR is measured in ms or msec.
|
method |
Method used to QT correction
|
Depending on the chosen method one of the following formulae is used.
Bazett:
\frac{QT}{\sqrt{\frac{RR}{1000}}}
Fridericia:
\frac{QT}{\sqrt[3]{\frac{RR}{1000}}}
Sagie:
1000\left(\frac{QT}{1000} + 0.154\left(1 - \frac{RR}{1000}\right)\right)
Usually this computation function can not be used with %>%.
QT interval in ms
derive_param_qtc()
BDS-Findings Functions that returns a vector:
compute_bmi(),
compute_bsa(),
compute_egfr(),
compute_framingham(),
compute_map(),
compute_qual_imputation(),
compute_qual_imputation_dec(),
compute_rr(),
compute_scale(),
transform_range()
compute_qtc(qt = 350, rr = 857, method = "Bazett")
compute_qtc(qt = 350, rr = 857, method = "Fridericia")
compute_qtc(qt = 350, rr = 857, method = "Sagie")
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