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The SunGait System at the Seoul National University Medical School

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Introduction

    As was discussed in the previous sections, a Gait Analysis system requires specific experimental or diagnostic laboratory arrangements.  In order to calculate movement of specific body's segments, it is necessary to capture markers locations.  These segments move in three dimensional space.  By knowing the location of these markers in global and local space, it is possible to calculate the location of the segments and their joints.  If you are interested in a Tutorial on this subject, please click on the following URL:

http://www.celos.psu.edu/kinematics/

Since each human body is different, certain anthropometric measurement also must be known.  The field of anthropometry is very extensive and there are many measurements by different investigators.  The following site

http://www.odc.com/anthro/deskref/desktoc.html

discusses some of these measurement differences.

   However, with the APASgait, detailed knowledge of all these formulas and measurement is unnecessary.  The APASgait program utilizes the mathematics and the anthropometry just as every other company does.  With APASgait, it is only necessary to know the procedures for data input and to be able to interpret the results.  By estimating, at some level of accuracy, these body measurements and combining then with a specific marker set, it is possible to calculate kinematics and kinetic parameter for the Gait Analysis.

  It  makes no different what system you use. You may use the $250,000 Elite System, the $300,000 Vicon System, the $200,000 Motion Analysis System, or the $150,000 Peak. The calculated results will be virtually identical although the level of errors will vary among the systems.  One major disadvantage with these systems is the inability to compare the calculated results with the original video before making final decisions.

   Imagine being able to calculate the same results as the expensive devices using a video system in conjunction with state of the art technology for only $5000.00 (US). Is it possible? Does it have the same accuracy? The answer is YES with the APASgait! How is this possible?

  The APASgait utilizes "off the shelf" technology.  The computer is a Pentium III 600 MHz and the cameras are the JVC 120 Hz  digital units. The APASgait software is the most advanced in the world. The Ariel system uses the same principles which the other, expensive systems use.  The Ariel System with the APASgait software can be used for any gait or biomechanical system and is normally configured with two high speed cameras, the computer, and the software. In addition, multiple workstations can be included at little or no additional cost.  In other words, more than one student or investigator can work simultaneously!!!  Which other company can do that? Just check on our FAQ and see what our customers have to say.

   Dr. Sun Chung,  M.D. Ph.D., from the Seoul National University of Medicine, has used the APAS for the last 8 years and has contributed valuable additions to our system.  He developed the SunGait System which is very unique and may be the most accurate system for measuring Gait parameters.  The following description outlines the SunGait System as used in conjunction with the Ariel Biomechanical System (APAS).

General

   The APAS video based system can be used with reflective markers for automatically digitizing the images.   It is possible to use a minimum of  2 cameras, however, 5 or 6 cameras would improve the automatic digitizing results.  Although 2 or 3 cameras can be used for gait studies, there are times when some of the sets of markers may not be detected by all the cameras.  This makes many studies problematic since it is a requirement that at least 2 cameras see the same marker.  With 5 or 6 cameras, this requirement  is assured.  While it is possible to use only 2 cameras,  it most likely will require the digitizing process to include some manual digitizing during the automatic process.  Since the APASgait is a video based system, it is possible to "estimate" the invisible marker by manually digitizing the point.  This allows a low cost system to get the same results as of that generated by the high priced products.  A study of comparison will be publish soon to show the insignificant differences among the results generated by the low priced system and the other expensive products.  An independent study of biomechanical systems has already been conducted and  is published here.

  With many of the more expensive systems, the marker sets are extremely important for obtaining acceptable results.   The marker size is much less important for  the APAS automatic digitization because the APAS system relies on correctly inputing the exact size of the marker when calculating the 3D data.  The APASgait system can calculate the center of a marker, the brightest pixel, or run a weighted average method.  All these procedures are discussed in the Digitizing Help and in the Electronic Manual.

The APASgait Analysis System consists of five steps:

  1. Preparatory
  2. Movement Recording
  3. Post-processing -– capturing, digitizing, transforming and filtering
  4. Calculation and 3D Reconstruction
  5. Interpretation and Reporting

1. Preparatory

Aim: To prepare for the movement recording.

Comment: You don’t have to do it for each movement recording.  If you do not change the status of camcorders including position, viewing angles, zooming, etc, you continue without repeating the preparation.  It may be wise to verify periodically the setting to maintain the quality of the data.

Activities:

- Set the Camcorders: Shutter speed should be 1/1000 or 1/2000 to reduce blurring of the image and for enhanced marker identification. Manual focus on, S-VHS on, Date and Time off.

The camera view should be set to encompass sufficient space for capturing the entire movement, but should not be any larger.  Although position and viewing angle of camcorders can be determined by the space and shape of the room, two anterior-lateral, two posterior-lateral and one anterior midline positioning system would be appropriate for human gait auto-digitization.  The two anterior camcorders should be positioned at the 11 and 1 o’clock directions relative to a person standing at the midpoint of the walkway.  Two posterior camcorders should be located in the 5 and 7 o’clock positions.  The cameras are placed in these positions to facilitate the auto-digitization.  However, if you cannot afford 5 or 6 cameras, 2 cameras are sufficient.  However, you will have to digitize manually any points when the markers are not visible from both cameras.  This is one of the major advantages of having raw video data: you can always see the body.  You can always see the joints and, in the instances where the point cannot be seen, it is possible to "flag" the point as   "missing" and the system accommodates accordingly.  The APASgait will interpolate to estimate this point based on the "history" of known information.

         

        wpe4.jpg (11039 bytes)

        Figure 1 illustrates the camera positions.

    - Set two fixed point markers on each side of walkway for automatic digitization.

    - You may place synchronizing LED’s on each side of walkway, if desired.  Any synchronization method can be used.  You may Genlock the cameras, or use lights or any event that can be seen in the video to synchronize the cameras. The APASgait make synchronization very simple by allowing variety of methods of doing it.

       

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                      Fig.2. Synchronizer and fixed point

  • Set control frame on the walkway and record the camcorders only for a moment – more than 0.033 second would be enough!!! You really need only one frame. But 10 frames are o.k. to make things simple.

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                     Fig. 3. Control frame for the children

  1. Movement Recording:

    Aim: Record the movement (gait) of the patient.

    Comment: To digitize automatically and to calculate 3D angles –the more important purpose- , you must attach a number of reflective markers on the specific body parts of the patient. Two kind of activities are to be recorded, static and dynamic. We use Helen Hayes(HH) marker set with some modification.

    Activities:

Attach 19 markers(or 15markers as original HH marker set) on the patient’s pelvis, both legs and both feet.

For Pelvis: right and left ASIS(Anterior Superior Iliac Spine), midpoint between both PSIS

For right and left Thighs: a wand(stick) marker attached on the lat. wall of thigh, a marker attached on the center of lat. Femoral Condyle. On what point should be the third marker? You do not have to attach it. Hip joint center is calculated from the three pelvic markers. It can be used the third marker for the thigh. Medial condylar marker is needed only for static sequence.(not used in original HH set)

For right and left lower legs: a wand(stick) marker attached on the lat. wall of lower leg, a marker attached on the center of lat. Malleolus. Knee joint center in thigh can be used the third marker for the lower leg. Medial malleolus marker is needed only for static sequence(not used in original HH set)

For right and left feet: Metatarsal head area of 2nd and 3rd toe, Heel marker is needed only for static sequence. Let the patient stand on the midpoint of the walkway with as little movement as possible.

           wpe7.jpg (25044 bytes)

                 Fig. 4. Static View from Anterior Right camcorder

 

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               Fig. 5. Static View from Posterior Right camcorder

  • Record the static sequence with all camcorders
  • Let the patient stand on the starting point of the walkway .
  • Detach both heel, medial malleolus and medial condyle markers. If you attach heel markers during gait, auto-digi will be difficult because the heel markers frequently join lat. Malleolus markers.

Image43.jpg (16316 bytes)

Fig.6. Dynamic(during gait) Views from Anterior Right camcorder: the heel, medial malleolus and medial condyle markers are detached.

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       Fig.7. Dynamic (during gait) Views from Posterior Right camcorder: the heel, medial  malleolus and medial condyle markers are detached.

  • Turn all camcorders record on.
  • Let him walk: Walking speed can be controlled or not. Usually not controlled.
  • During walking, turn on a LED of the synchronizer. One LED for one sequence of gait.
  • Record off all the camcorders.

 

3. Post processing

    Aim: Get three dimensional coordinates of each markers of static and dynamic sequence.

    Comment: Capturing, digitizing, transformation and filtering for the static and dynamic sequence.

    Activities:

  • Capture and trim the recorded movement, static and dynamic on each camcorders. For static sequence, more than 6 frames would be enough. For dynamic(gait) sequence, one cycle(from foot-on point of one leg to the second foot-on point of the same leg) or one and half cycle(one cycle and until the other leg steps on the ground) should be included. We capture more than 10 frames before and after the exact duration of movement. After capturing completed, you should have (number of camcorder)* 2 avi’s. Align the frames of avi’s according to the synchronization point and trim them out.
  • Digitize the dynamic sequence. Automatic digitization of APAS works so fine and efficiently. We set different ‘Invisible point’ table for each view.

      For Post. Left view(from Post. Left camcorder)

        = Lt MT, Lt Lat Malleolus, Lt Lower Leg Wand, Lt Lat Condyle, Lt Thigh Wand, Lt ASIS, SACRAL markers are seen beautifully. So, we tick those points as visible in invisible point table.

      Fig.8. Auto-Digitizing the Post. Left view

      For Post. Right view(from Post. Right camcorder)

        = Rt MT, Rt Lat Malleolus, Rt Lower Leg Wand, Rt Lat Condyle, Rt Thigh Wand, Rt ASIS, SACRAL markers are seen beautifully. So, we tick those points as visible in invisible point table.

          

          Fig.9. Auto-Digitizing the Post. Right view

      For Ant. Left view(from Ant. Left camcorder)

        = Lt MT, Lt Lat Malleolus, Lt Lower Leg Wand, Lt Lat Condyle, Lt Thigh Wand, Lt ASIS markers are seen beautifully. So, we tick those points as visible in invisible point table. The ASIS markers are not seen when the patient swings his arms. So, we usually let him flex his elbows. It may influence on his gait pattern a little. One more camcorder in front of him will solve this problem.

            

      Fig.10. Auto-Digitizing the Ant. Left view

      For Ant. Right view(from Ant. Right camcorder)

        = Rt MT, Rt Lat Malleolus, Rt Lower Leg Wand, Rt Lat Condyle, Rt Thigh Wand, Rt ASIS markers are seen beautifully. So, we tick those points as visible in invisible point table. The ASIS markers are not seen when the patient swings his arms. So, we usually let him flex his elbows. It may influence on his gait pattern a little. One more camcorder in front of him will solve this problem.

             

Fig.11. Auto-Digitizing the Ant. Right view

  • Digitize the static sequence. You can do it automatically or manually.

      Fig. 12. Static sequence digitization

  • Digitize control frame for each sequence
  • Transform each sequence – static, dynamic.
  • Filter the sequences. Digital filtering with cutoff frequency 5 or 8 would be better than cubic spline, especially for the sequences digitized automatically. The auto-digitized sequences have too small noise and some markers(ASIS, Sacral, …) are moving in a small range, so, cubic spline filter would cut the signal off too much. Please, see below two graphs. The graph A and B are about the Lt. ASIS from the same dynamic sequence. Graph A is filtered by cubic spline with 1.ocm value. Graph B is filtered by digital filter with 8Hz cut off. The Y and Z coordinates of ASIS show a small range of excursion. So, the cubic spline filters too much real signal. If you want to use cubic spline, you must input the filtering value as 0.1cm or less. But this kind of value is not suitable for the wand markers which move in jerky manner especially when the legs(feet) strike the ground. I think the digital filter is better.

                       

                       

            Fig. 13. The effect of different filtering algorithm

            Check the results "stick figures"   by moving the cursor over the figure.          

            Example Patient 28.AVI (539648 bytes)

 

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