add_frontal_plane_knee_angle: Calculate frontal plane knee kinematics.

In steenharsted/mocapr: Functions to import, plot, animate, and analyse motion capture data

Calculate frontal plane knee kinematics.

Description

Positive values of LFPKA and RFPKA reflects lateral deviation of the knee (knee varus).

Usage

add_frontal_plane_knee_angle(.data)

Arguments

.data

A tibble containg knee and ankle spatial joint center positions in the anatomical frontal plane. These positions can be created from global spatial joint center positions using project_full_body_to_AP()

Value

The tibble supplied in .data argument with the added columns LFPKA and RFPKA.

Equation

Figure

References

Stone EE, Butler M, McRuer A, Gray A, Marks J, Skubic M. Evaluation of the Microsoft Kinect for screening ACL injury. Conf Proc IEEE Eng Med Biol Soc. 2013;2013:4152-5.

Ortiz A, Rosario-Canales M, Rodriguez A, Seda A, Figueroa C, Venegas-Rios HL. Reliability and concurrent validity between two-dimensional and three-dimensional evaluations of knee valgus during drop jumps. Open access journal of sports medicine. 2016;7:65-73.

Harsted S, Holsgaard-Larsen A, Hestbaek L, Boyle E, Lauridsen HH. Concurrent validity of lower extremity kinematics and jump characteristics captured in pre-school children by a markerless 3D motion capture system. Chiropr Man Therap. 2019;27:39.

Examples

# Prepare data
df <- data.frame(
                 LA_APR = c(10,5,0,-5,-10),
                 LK_APR = c(0,0,0,0,0),
                 LA_APU = c(0,0,0,0,0),
                 LK_APU = c(10,10,10,10,10),
                 RA_APR = c(20,15,10,5,0),
                 RK_APR = c(10,10,10,10,10),
                 RA_APU = c(0,0,0,0,0),
                 RK_APU = c(10,10,10,10,10))

add_frontal_plane_knee_angle(df)

steenharsted/mocapr documentation built on Feb. 1, 2024, 1:49 p.m.