Date: Wed, 25 May 2022 03:52:11 +0100 (BST) Message-ID: <2059380350.733.1653447131357@OMGSVR86> Subject: Exported From Confluence MIME-Version: 1.0 Content-Type: multipart/related; boundary="----=_Part_732_886070140.1653447131356" ------=_Part_732_886070140.1653447131356 Content-Type: text/html; charset=UTF-8 Content-Transfer-Encoding: quoted-printable Content-Location: file:///C:/exported.html Functions for defining parameters

# Functions for defining parameters

Like variables, the parameter functions are split into function = groups.

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### Time

Functions in this group all return a time, either in seconds or normaliz= ed to percent if you specify the Time Normalize Between ev= ents.

• Event A. The time of A.
• Event A to Event B. The duration from A to B.
• Variable A max value [Event A, Event B]. The time when= variable A attains its maximum value between two events of type A and B.
• Variable A min value [Event A, Event B]. As above, but= for the minimum value.
• Variable A crossing Value going up [Event A, Event B].= The time of variable A crossing a Threshold value on the way up, between t= wo events of type A and B.
• Variable A crossing Value going down [Event A, Event B]. As above, but crossing the threshold going down.

### Total time

These functions calculate the total time a variable fulfils a certain co= ndition.

• Above Value [Event A, Event B]. The total time a varia= ble is above a certain threshold value, in seconds, between events A and B.=
• Below Value [Event A, Event B]. As above, but the time= the variable is below the threshold value.

### Frequency

This group contains only one function.

• [Event A, Event B], this calculates how often the even= t pair A and B occurs. This could, for example, be used to calculate cadenc= e, which is the step frequency, by specifying event A as foot strik= e and B as foot off. Although the standard unit f= or frequency is Hz, you can also choose units such as steps/min.

### Value

These functions calculate the value of a variable, or the value of a com= bination of variables, at specific points in time.

• Variable A [Event A]. Simply the value of the variable= at the time specified by the event.
• Variable A [Event A] + Variable B [Event B]. The two v= ariable values added together, the values taken at the points in time speci= fied by events A and B, respectively.
• Variable A [Event A] =E2=80=93Variable B [Even= t B]. Variable B subtracted from A.
• Variable A range [Event A, Event B]. Variable A=E2=80= =99s range (that is, its minimum value subtracted from its maximum value) f= or the time span defined by events A and B.
• Variable A max [Event A, Event B]. Variable A=E2=80=99= s maximum value for the time span defined by events A and B.
• Variable A min [Event A, Event B]. As above, except fo= r Variable A=E2=80=99s minimum value.

### Integrated

This group contains only one function.

• Variable A [Event A, Event B], calculates the integral= over the time span defined by events A and B.

### RMS

This stands for =E2=80=9Croot mean square=E2=80=9D, which adds up the sq= uare of all sample points and finally returns the square root of the sum.

• Variable A [Event A, Event B]. Calculates the RMS of v= ariable A between the events A and B.
• Variable A =E2=80=93Variable B [Event A, Event= B]. Calculates the RMS of the difference between variables A and = B over the time span defined by events A and B.

### Average

These functions calculate the average value of a variable, or a combinat= ion of variables.

• Variable A [Event A, Event B]. The average of each sam= ple point over the time span defined by events A and B.
• Variable A=E2=80=99s local coordinates in Variable B [Event A, = Event B]. Variable A can be either a point or a segment, whereas v= ariable B has to be a segment. The function calculates the average position= (and, if a segment, orientation) of A in B=E2=80=99s reference frame. The = main use of this function is to store an anatomical point or segment in a t= echnical segment=E2=80=99s reference system based on a static trial, which = can be used later in a dynamic trial.

### Stdev

Equivalent to the average function above, except that it calculates the = standard deviation.

• Only Variable A [Event A, Event B] is available.

### 3D

Functions in this group calculate parameters based on 3D variables.

• Distance Variable A [Event A] to Variable B [Event B]. Calculates the straight-line distance from the 3D variable A to the 3D var= iable B.
• Speed Variable A [Event A, Event B]. Calculates the sp= eed of 3D variable A between event A and event B. This corresponds to the d= istance covered divided by the time between the two events.
• Distance Travelled Variable A [Event A, Event B]. Calc= ulates the 3D distance traveled by variable A between events A and B. This = is calculated by adding each line segment traveled for each frame between t= he two events.

### Temporal

These are special functions for calculating typical temporal parameters.=

• Single Support [Event A, Event B] =E2=80=93 [Event C, Event D].= Calculates the time between events A and B, but then subtracts th= e time outside the span defined by event C to event D, should eith= er of these lie inside the A to B span. When A =3D ipsilateral foot contact= , B =3D ipsilateral foot off, C =3D contralateral foot off and D =3D contra= lateral foot contact, single support is calculated as the total stance time= (A to B) minus the time of double support (A to C and D to B). However, sh= ould C and D lie outside the span A to B (for example when a running motion= is analyzed), nothing is subtracted since there is no double support.
• Double Support [Event A, Event B] =E2=80=93 [Event C, Event D].= Calculates the time from event A to event B minus the time in= side the span defined by event C to event D.

### Parameter

These functions enable you to combine other parameters.

• Parameter A + Parameter B. Adds two parameters.
• Parameter A =E2=80=93Parameter B. Sub= tracts parameter B from parameter A.
• Parameter A * Parameter B. Multiplies the two paramete= rs.
• Parameter A / Parameter B. Divides parameter A with B.=
• (Parameter A + Parameter B) / 2. Takes the average of = two parameters.
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