JumpTrak Operations Guide

The Motion Analysis Corp. jumping analysis application creates measurements of the critical biomechanical parameters during a drop jump or vertical jump. It supplies a complete kinematic and kinetic report of the legs as well as measurements about the player's technique. Data from drop jumps can be used to indicate a potential for Anterior Cruciate Ligament injury. Both kinds of jumps can be used to compare the biomechanics among players, or show comparisons of the same player over time. This guide will step through the procedures to properly acquire the jumping trials and then operate JumpTrak.


What you need

Motion Analysis Corp. Motion Capture system. 29 Retroreflective Markers and configured as shown below:

Jumptrak Marker Set
MARKERCOMMENTS
1Top.HeadTopmost spot of the head
2Front.HeadFront/center of the head
3Rear.HeadBack/center of the head
4R.ShoulderEnd of the Clavicle (collar bone) - top of shoulder
5R.OffsetCentered on the right clavicle
6R.ElbowLateral epicondyle of the humerus
7R.WristStyloid Process of the Ulna
8L.ShoulderEnd of the Clavicle (collar bone) - top of shoulder
9L.ElbowLateral epicondyle of the humerus
10L.WristStyloid Process of the ulna
11R.ASISOver the right front of the hip
12L.ASISOver the left front of the hip
13V.SacralOver the base of the spine, L5-S1 joint
14R.ThighAbout 1/3 the distance from hip joint to knee joint
15R.KneeOn the Lateral Condyle
16R.Knee.MedialOn the Medial Condyle
17R.ShankAbout 1/3 the distance from knee joint to ankle joint
18R.AnkleOn the Lateral Malleolus (ankle bone)
19R.Ankle.MedialOn the Medial Malleolus (ankle bone)
20R.HeelCentered on the heel
21R.ToeOver the base of the second toe
22L.ThighAbout 2/3 the distance from hip joint to knee joint
23L.KneeOn the Lateral Condyle
24L.Knee.MedialOn the Medial Condyle
25L.ShankAbout 2/3 the distance from knee joint to ankle joint
26L.AnkleOn the Lateral Malleolus
27L.Ankle.MedialOn the Medial Malleolus (ankle bone)
28L.HeelCentered on the heel
29L.ToeOver the base of the second toe

Data Collection Setup

Data collection for JumpTrak is similar to the standard collection process. There are some settings for calibration and data collection that you should use that will help ease the process. Learn about the recommended data collection settings in Data Collection Setup.

Trial Collection

You should already be familiar with how to collect 3D data using Cortex. However, JumpTrak requires some specific collection procedures to ensure correct calculations. Trial Collection describes the recommended workflow to collect your trials.

Drop Jumps: Once prepared, the subject should drop directly down off the box and immediately perform a maximum vertical jump, raising both arms towards the overhead target. If an overhead target is not used, the test subject should be instructed to land and jump as high as possible as if reaching for a basketball rebound.

Running the JumpTrak Application

Now that the trials are collected, data are clean and events selected, you can use the JumpTrak Application to perform the calculations and generate the reports. Click to watch the Video Tutorial on how to use the JumpTrak Application:

To run JumpTrak, Click Applications>JumpTrak:

Jumptrak App Entries

Complete the Subject Information fields for the jumper: Now Select the Trials that you want to process with JumpTrak, and click on the Generate Reports button. The Kinematics and Kinetics graphs will be populated for the last selected trial. Check that the graphs are filled and do not have errors. If you want, you can print out these reports by right clicking in the presentation graphs pane and selecting File>Print Graph Image. Open the MS Excel program and select the trial that you want to view. The Excel workbook will have three tabs. A listing of the data will be on the first tab, with the Graphs and WebReport on the other tabs.

Jumptrak Report In Excel

Here is an example report in Excel: sample1_report.xlsx

There is a table that has the jumping parameters:

Jumptrak Jump Related Parameters

A green check box and a red check box will indicate within or outside recommended ranges to predict risk of injury to the Anterior Cruciate Ligament.

The JumpTrak Excel report also has an "Interactive Report" where you can view Hip, Knee and Ankle Angles, Velocities, Moments and Powers for each limb or for both:

Jumptrak Interactive Report

Click within each box to select the desired Joint, Side and Axis.

References

Bobbert, M. F., & van Ingen Schenau, G. J. (1988). Coordination in vertical jumping. Journal of Biomechanics, 21(3), 249-262.

Hewett, T. E., Myer, G. D., Ford, K. R., Heidt, R. S., Colosimo, A. J., McLean, S. G., Succop, P. (2005). Biomechanical measures of neuromuscular control and valgus loading of the knee predict anterior cruciate ligament injury risk in female athletes: A prospective study. American Journal of Sports Medicine, 33(4), 492-501.

Myer, G., Ford, K., Khory, J., Succop, P., & Hewett, T. (2014). Biomechanics laboratory-based prediction algorithm to identify female athletes with high knee loads that increase risk of ACL injury. British Journal of Sports Medicine, 45(4), 245-252.

Myer, G. D., Ford, K. R., Palumbo, J. P., & Hewett, T. E. (2005). Neuromuscular training improves performance and lower-extremity biomechanics in female athletes. Journal of Strength & Conditioning Research, 19(1), 51-60.

Thompson, J. A., Tran, A. A., Gatewood, C. T., Shultz, R., Silder, A., Delp, S. L., & Dragoo, J. L. (2017). Biomechanical Effects of an Injury Prevention Program in Preadolescent Female Soccer Athletes. American Journal of Sports Medicine, 45(2), 294-301.