Table of Contents
Metric Root Mean Squared
Overview
The metric command Root Mean Squared can be used to compute a Root Mean Squared value of a signal as a metric. This can be helpful when determining the magnitude or intensity of a signal, like joint power. It can be found in the Pipeline Workshop under Metric.
Given data Xi for i=1,2….n
Mean Squared Error= MSE = sum(Xi^2)/n
Root Mean Squared Error= RMS= Sqrt(MSE) ;
Pipeline Command
The syntax for the function is as follows:
Metric_Root_Mean_Squared ! /RESULT_METRIC_FOLDER=PROCESSED /RESULT_METRIC_NAME= ! /APPLY_AS_SUFFIX_TO_SIGNAL_NAME=FALSE /SIGNAL_TYPES= ! /SIGNAL_FOLDER=ORIGINAL ! /SIGNAL_NAMES= ! /COMPONENT_SEQUENCE= /EVENT_SEQUENCE= /EXCLUDE_EVENTS= ! /GENERATE_MEAN_AND_STDDEV=TRUE ! /GENERATE_MEAN_AND_STDDEV_ACROSS_SUBJECTS=FALSE ! /APPEND_TO_EXISTING_VALUES=FALSE ;
Command Parameters
The following table shows the command parameters seen above and their descriptions:
| RESULT_METRIC_FOLDER | The name of the result signal folder |
| RESULT_METRIC_NAME | The name of the result signal |
| APPLY_AS_SUFFIX_TO_SIGNAL_NAME | Suffix to be applied to signals |
| SIGNAL_TYPES | Type of signal being processed |
| SIGNAL_FOLDER | Original location of signals |
| SIGNAL_NAMES | Specify names of signals |
| COMPONENT_SEQUENCE | Which component of the signal will be used for statistical analysis of the sequence. |
| EVENT_SEQUENCE | A list of events (separated by “+” signs). For example, LHS+RTO |
| EXCLUDE_EVENTS | This Event Sequence must not be during the sequence requested. For example, LTO_RHS |
| GENERATE_MEAN_AND_STDDEV | (True or False)Generate the mean and standard deviation for all of the metrics created |
| GENERATE_MEAN_AND_STDDEV_ACROSS_SUBJECTS | (True or False)Generate the mean and standard deviation across all subjects in trial |
| APPEND_TO_EXISTING_VALUES | (True or False)Append this list of metrics to an existing metric of the same result name |
Dialog
The command can be edited in a text editor or in a dialog form. To edit in the dialog pop up form either click on the Edit button in the pipeline workshop or double-click on the pipeline command. The dialog is shown below.
The dialog box allows you to assign values to the command parameters outlined above.
Example
For example, compute the root mean squared value of the Ankle Joint Power from Start to End
| Metric_Root_Mean_Squared | |
| /Signal_Types= | LINK_MODEL_BASED |
| /Signal_Names= | Right Ankle Power |
| /Signal_Folder | ORIGINAL |
| /Signal_Components= | X |
| /Event_Sequence= | Start+End |
| /Exclude_Events= | |
| /SEQUENCE_PERCENT_START= | Within the event sequence specify the beginning of the range as a percent |
| /SEQUENCE_PERCENT_END= | Within the event sequence specify the end of the range as a percent |
| /Metric_Name= | Right Ankle Power RMS |
| /Apply_As_Suffix_To_Signal_Name= | FALSE |
| /Generate_Mean_And_STDDEV= | FALSE |
| /Append_To_Existing_Values= | FALSE |
| /APPEND_TO_EXISTING_VALUES= | FALSE |
| ; |