3D Kinematics Methods and Instrumentation Santiago De Grau and Jess Valic October 28, 2014.
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Transcript of 3D Kinematics Methods and Instrumentation Santiago De Grau and Jess Valic October 28, 2014.
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3D KinematicsMethods and Instrumentation
Santiago De Grau and Jess Valic
October 28, 2014
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Overview
• Introduction to Kinematics
• Kinematic Data Collection
• Coordinate Systems
• Marker Placement
• Kinematic Data
• Application to Neurotrauma Impact Science Laboratory
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Introduction to Kinematics
• Describes the motion of points or bodies without consideration of the causes of motion
• What is measured? Not measured?
• Linear and angular– Body landmarks and segments– Joint angles
• Can be either 2D (planar) or 3D (spatial)
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Evolution of 3D Kinematics
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Applications in Biomechanics• Athlete performance
– Analysis of golf/tennis swing
• Injury rehabilitation (pre vs post)– Joint range of motion differences
• Injured/non-injured – Flexion/extension during stair climb
• Head Impact Reconstructions– Acceleration
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Kinematic Data Collection
1) Magnetic
2) Mechanical
3) Optical – Passive (reflective markers – VICON)– Active (IRED – Optotrak)– Sample rates; Capture space– Marker ID; Positional data only
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Additional Data Collection Tools
• Accelerometer– Measures acceleration directly velocity,
displacement
• Electrogoniometer– Measures joint angles immediately; cheaper than imaging systems– Encumbers movement; best for hinge joints; ONLY measures joint angles
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Motion Capture Data Collection
• Record motion of markers affixed to a moving subject
• Digitize the data marker coordinates
• Process coordinates kinematic variables – Segmental/joint movements
• Multi-camera system– Minimum 2; consider occlusion and rotation
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Data Collection
• Calibration necessary– Ensures correct image scaling
• Static Calibration– Control points affixed to a structure in field of view– Orients 3D workspace (GCS)– Establishes origin forceplate often used
• Dynamic Calibration– Relative positions and orientations of cameras
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Data Collection
• Cameras capture coordinates in 2D– Need to use a transformation process to convert to
spatial (3D) coordinates
• Direct Linear Transformation (DLT)– A set of equations computed to scale digitized coordinates into metric units– Also corrects errors associated with camera tilting
• Distance distortions
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Coordinate Systems
• Cartesian coordinate system– Position vector defines point in space (X,Y,Z)– Stationary orthogonal axes– Origin (0,0,0)– Commonly right handed (counterclockwise +ve)
• Two coordinate systems for 3D analysis– Global Coordinates System (GCS)– Local Coordinate System (LCS)
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Global Coordinate System
• Internal reference system – Fixed system
• Determined when object space is defined– Origin from static calibration
• Point of interest (marker) described by position (X,Y,Z)
• Right handed orthogonal
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Local Coordinate System
• Fixed within and moves with body or segment– Describes position of body or segment
• Right handed and orthogonal; origin at COM or proximal joint center
• Origin and axes attached to and moves within the body
• Segment volume and shape finite– Orientation described wrt GCS
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Local Coordinate System
• Orientation changes as body moves through 3D space– Calculate orientation of LCS to GCS
• Static calibration to align LCS with GCS is useful
• Used to determine joint angles– LCS of two segments– Rotational matrix– Cardan Euler, JCS, Helical Axis
Neurotrauma Impact Science Laboratory
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Markers
• Need minimum of 3 non-collinear markers per segment
• Four general configurations1) Markers mounted on bone bins 2) Skin mounted markers 3) Arrays of markers on rigid surface4) Combination of (2) & (3)
• Each have own pros and cons
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Marker Placement Guidelines1. Sufficient measurements of each marker should be available. The light reflected from the markers should be visible to sufficient cameras for identification
2. The number of markers associated with each bone must be more than or equal to three
3. The relative movement between markers and the underlying bone should be minimal
4. Mounting the markers on the subject should be quick and easy
Cappello et al. (1997)
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• Femoral and Tibial wands as a
reference for other markers• Markers secured at anatomical
landmarks that determine embedded axes for segments
• Use of anthropometric measurements
• ‘Improved Helen Hayes Model’ – medial anatomical markers included, static trial performed, and markers are not placed on wands
Vaughan et al. 1999
Helen Hayes Marker Placement
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Pros:• Markers are easy to track in three-dimensional space with
video based kinematic systems• Easy to apply to a subject• Subjects movements are minimally impaired
Cons: • Jerky movement causes wands to vibrate which is picked up by
the cameras• Skin movement relative to the underlying bone• Both create error of marker coordinate reconstruction. Modeling
procedures often do not accommodate these artefacts and assume the marker is rigid with the bone
Vaughan et al. 1999
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• Femoral and Tibial clusters• Used to reduce skin
movement artifact for more accurate measurement
• ‘A local reference frame can be defined starting with the co-ordinates of three non-collinear markers’
• Define joint centers • Clusters used as a technical
system along with the anatomical marker placement
• Static trial must be performed
Cappello et al. 1997
Cluster Marker Placement
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Pros:• Markers are easy to track in three-dimensional space with
video based kinematic systems• Relative skin movement error is reduced through marker
clustering• Easy to apply to a subject
Cons: • Movement of subject might be impaired or unnatural due to
clusters being placed on large muscles• MARKER PLACEMENT
Cappello et al. 1997
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Kinematic Measurements
Consists of two parts: 3D Translation & 3D Rotation (6 degrees of freedom)
Inverse Kinematics: Take motion of markers to determine angles and position of segments in relation to another
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Linear Kinematics
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Angular Kinematics
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Application - NISL
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Maximum Linear Magnitudes
Axis Block Acceleration, g Velocity, m/s
X C 165.8 10.8
S 180.9 -
T 273.1 -
Y C -15.6 -0.9
F -32.9 -
T -31.2 -
Z C -31.6 -2.7
F -67.0 -
S -31.9 -
Resultant 167.7 10.9
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Maximum Angluar Magnitudes
Axis Acceleration, rad/s2 Velocty, rad/s
X 2299.2 1.3
Y 13856.5 8.5
Z -3260.6 -3.3
R 14258.8 8.9
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Lesion type Threshold Measurement method Reference
mTBI 82 g for 50% chance Laboratory reconstruction Zhang et al. (2004)
mTBI 81 g Instrumented helmets Duma et al. (2005)
mTBI 103 g Instrumented helmets Brolinson et al. (2006)
mTBI 82–146 g Instrumented helmets Schnebel et al. (2007)
mTBI 103 g Dynamic modeling Frechede and McIntosh (2009)
mTBI 90 g Primate impacts Gurdjian et al. (1966)
Subdural hematoma 130 g Laboratory reconstruction Willinger and Baumgartner (2003a)
Lesion type Threshold Measurement method Reference
mTBI 5900 rad/s2for50% chance
Laboratory reconstruction Zhang et al. (2004)
mTBI 3000–4000 rad/s2 Laboratory reconstruction Willinger and Baumgartner (2003a)
mTBI 8020 rad/s2 Dynamic modeling Frechede and McIntosh (2009)
Subdural hematoma 4500 rad/s2 Cadaver impacts Lowenhielm (1974a)
mTBI 1800 rad/s2 Primate impacts Ommaya et al. (1967)
DAI 16,000 rad/s2 Primate, physical and numerical model impacts
Ommaya et al. (1967)
Thresholds of Injury
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Brain Mapping
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Thank you
Questions?