Your English writing platform
Discover LudwigSuggestions(5)
Exact(28)
In order to measure the instability of the different constructs, the mean squared successive difference (MSSD) and standard deviation (SD) were calculated from across all available data-points for each individual [ 26], including data point across days and those which were not sequential due to missing time-points.
root mean squared successive difference.
We can perform the substitution procedure based on the successive difference substitution method by computer.
We prove them with the help of a successive difference substitution algorithm called NEWTSDS [2].
Bounds on the number of steps of substitutions for algorithms based on the successive difference substitution method are presented in [11, 12].
(dDstMP/dt)max is the maximum rate of change of Dst during MP, which is the maximum successive difference of Dst during MP.
Similar(32)
Long-term changes in HRV were used to assess the following vagally mediated changes in autonomic tone, expressed as time domain indices: Standard deviation of the NN intervals (SDNN), standard deviation of 5 min averaged NN intervals (SDANN), Root Mean Square of the Successive Differences (RMSSD) and percentage of NN intervals > 50 ms different from preceding interval (pNN50).
Both RMSSD (Root Mean Square of the Successive Differences) and pNN50 (percentage of NN intervals > 50 ms different from preceding interval) are linked to short-term changes in HRV rather than diurnal variations, and reflect vagally mediated changes in autonomic tone.
The HRV will be calculated by the standard deviation of all normal R-R intervals (SDNN) on the ECG, the root-mean square of successive differences (RMSSD), as well as the number of R-R intervals differing by >50 milliseconds from adjacent intervals (NN50) according to time-domain analysis that are based on beat-to-beat or NN intervals.
Root mean square of successive differences.
The root mean square of successive differences (RMSSD) is another HRV indicator.
More suggestions(15)
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com