clinmon (version 0.2.0)

Mx: Mean flow velocity index (Mx)

Description

Using raw recording, this functions calculates mean flow veolicty index (Mx), initially described by Czosnyka et al. in 1996. [clinmon: An R package for calculation of clinical monitoring indices (2020)]

Usage

Mx(df, del_1 = NULL, del_2 = NULL,
      trigger = NULL, blocksize = 3,
      epochsize = 20, freq, blockmin = 0.5,
      epochmin = 0.5, overlapping = FALSE,
      output = 'period')

Arguments

df

Raw recording with data in 3 columns: time (in seconds), pressure curve measurement (e.g. CPP, raw measurement), and velocity curve measurement (e.g. MCAv, raw measurement). [dataframe]

del_1

Deleter with two columns, reference to pressure curve measurement: (1) start of deletion period and (2) end of deletion period. Every row is a deletion period. [dataframe]

del_2

Deleter with two columns, reference to velocity curve measurement: (1) start of deletion period and (2) end of deletion period. Every row is a deletion period. [dataframe]

trigger

Trigger with two columns: (1) start of analysed period and (2) end of analysed period. Every row is a period for analysis. [dataframe]

blocksize

Size of blocks, in seconds. [numeric]

epochsize

Size of epochs, in number of blocks. [numeric]

freq

Frequency of recorded data, in Hz. [numeric]

blockmin

Minimum measurements required to create a block [numeric]

epochmin

Minimum blocks required to create an epoch [numeric]

overlapping

The number of block which should overlap, and remain blank if overlapping should not be utilized numeric

output

Select the output which has to be either one row per 'period' or 'epoch'. [boolian]

Value

Returns a dataframe with the results, with either every period or epoch as a rows, depending on the chosen output

Examples

# NOT RUN {
data <- data.frame(time=seq(1, 901, 0.01),
                  pres=rnorm(90001),
                  mcav=rnorm(90001))
Mx(df=data, freq=1000)
# }