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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.
Given data Xi for i=1,2….n Mean Squared Error= MSE = sum(Xi^2)/n Root Mean Squared Error= RMS= Sqrt(MSE) ;
The command can be found in the Pipeline Workshop under Metric.
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: Joint Power RMS
For example, compute the root mean squared value of the Ankle Joint Power from RHS to RTO
Metric_Root_Mean_Squared /RESULT_METRIC_FOLDER=PROCESSED /RESULT_METRIC_NAME=RAnkle_RMS ! /APPLY_AS_SUFFIX_TO_SIGNAL_NAME=FALSE /SIGNAL_TYPES=LINK_MODEL_BASED /SIGNAL_FOLDER=ORIGINAL /SIGNAL_NAMES=RAnklePower /COMPONENT_SEQUENCE=X /EVENT_SEQUENCE=RHS+RTO /EXCLUDE_EVENTS= ! /GENERATE_MEAN_AND_STDDEV=TRUE ! /GENERATE_MEAN_AND_STDDEV_ACROSS_SUBJECTS=FALSE ! /APPEND_TO_EXISTING_VALUES=FALSE ;
Results: