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Computes corrected QT using Bazett's, Fridericia's or Sagie's formula.
compute_qtc(qt, rr, method)
QT interval in ms
QT interval
A numeric vector is expected. It is expected that QT is measured in ms or msec.
none
RR interval
A numeric vector is expected. It is expected that RR is measured in ms or msec.
Method used to QT correction
"Bazett", "Fridericia", "Sagie"
"Bazett"
"Fridericia"
"Sagie"
Depending on the chosen method one of the following formulae is used.
method
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 %>%.
%>%
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_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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