270 likes | 531 Views
The ISB model for the Upper Extremity. DirkJan Veeger Carolien van Andel Jaap Harlaar. ESMAC Seminar “Movement Analysis of the Upper Extremity”. www.internationalshouldergroup.org. Contents. Introduction 3D motion description basics Segment motion - joint motion The ISB model Choices
E N D
The ISB model for the Upper Extremity DirkJan Veeger Carolien van Andel Jaap Harlaar ESMAC Seminar “Movement Analysis of the Upper Extremity” www.internationalshouldergroup.org
Contents • Introduction • 3D motion description basics • Segment motion - joint motion • The ISB model • Choices • Procedure • intricacies • Issues • Euler angles and joint rotation • Reference values • compatibility
Introduction: 3D kinematics basics • The full description of an object in 3D space requires the coordinates of three points on that object • Follow the plane. The path of the nose, or the wing tips do not fully describe the plane’s motion.. • One needs at least three pointson the plane to quantitativelydescribe what it does.
Introduction: 3D kinematics basics • Orientation definition of a segment requires three markers • These three markers describe a plane • In motion analysis these points can be landmarks or technical markers TS AA AI
Introduction: 3D kinematics basics • From x-y-z global coordinates markers markers we can construct a local coordinate system (or: frame) • Frame describes its orientation and position (= pose) in global space TS AA Yg Xg AI Zg
z TS AA • Five steps to define a local frame • step 1: define the first axis • Step 2: define a support axis to define the plane orientation • Step 3: define a second axis perpendicular to the plane • Step 4: orthogonize your system: calculate the axis in the plane perpendicular to the first two • Step 5: construct the orientation matrix AI
Ytemp TS AA Z • Five steps to define a local frame • step 1: define the first axis • Step 2: define a support axis to define the plane orientation • Step 3: define a second axis perpendicular to the plane • Step 4: orthogonize your system: calculate the axis in the plane perpendicular to the first two • Step 5: construct the orientation matrix AI
Xs Ytemp TS AA Zs • Five steps to define a local frame • step 1: define the first axis • Step 2: define a support axis to define the plane orientation • Step 3: define a second axis perpendicular to the plane • Step 4: orthogonize your system: calculate the axis in the plane perpendicular to the first two • Step 5: construct the orientation matrix AI
Ys Xs TS AA Zs AI • Five steps to define a local frame • step 1: define the first axis • Step 2: define a support axis to define the plane orientation • Step 3: define a second axis perpendicular to the plane • Step 4: orthogonize your system: calculate the axis in the plane perpendicular to the first two • Step 5: construct the orientation matrix
Ys Xs TS AA Zs AI • Five steps to define a local frame • step 1: define the first axis • Step 2: define a support axis to define the plane orientation • Step 3: define a second axis perpendicular to the plane • Step 4: orthogonize your system: calculate the axis in the plane perpendicular to the first two • Step 5: construct the orientation matrix = all three axes / direction vectors
y x TS z AA Y • The resulting 3x3 matrix describes the orientation of a segment in the global system • The matrix contains the three direction vectors, • Each direction vector defines the angle of that axis with the three axes of the global coordinate system X Z AI
Y X Z • The segment orientations can also be expressed relative to each other : • Joint orientation matrix
Rx = c 0 s 0 1 0 -s 0 c c -s 0 s c 0 0 0 1 Ry = Rz = 1 0 0 0 c -s 0 s c Y X Z Decomposition of a matrix:vector rotation basics • Rotation matrices can be used to rotate a point to any given position in a plane over a specified angle: (Rz), (Ry) or (Rx) • The transpose of these matrices rotate the axes of a coordinate system towards a given vector (which is a rotation - for Rz etc.)
Decomposition of a matrix:vector rotation basics • The segment-, or joint orientation matrix can be seen as built up from three rotations • This can be any order of rotations: x-y-z, y-z-y etc. • Decomposition is the extraction of these three rotations from the orientation matrix • What order is a matter of choice, but: • Each different order yields different results
North Pole 180 150 30 60 90 120 45 60 30 120 150 90 180 0 South Pole [30,120,45] Decomposition of a joint orientation matrix • Choose meaningful axes to rotate around... • Flexion-extension - ab/adduction - axial rotation • Plane of elevation - elevation - axial rotation • ?? • Standard protocol necessary!
This value in the orientation matrix can be used to calculate , the rotation around the x-axis. These values can be used to calculate , the rotation around the z-axis Decomposition example (see Capozzo, 2005)
ISB Upper extremity model: choices • Definition of local coordinate systems • Landmarks • Axis directions • Definition of decomposition orders • Full text: see Wu et al, 2005 • Now: example humerus • Landmarks • Decomposition order
ISB Upper extremity model: procedure • Local humerus frame defined on three landmarks: • EM, EL and GH • GH has to be estimated • From kinematics (Helical axes or sphere fit) • based on regression (Meskers et al. 1998) • Alternative proximal marker in fixed position • Long axis defined first, followed by axis perpendicular to plane • ISB choice: local frames based on anatomical landmarks Procedure sensitive to landmark estimation errors
ISB Upper extremity model: procedure • Alternative procedure: • Use GH, EL, EM and forarm markers • Forearm used for definition of plane • Dependent on elbow angle: ISB suggests 90° flexion and 90° pronation as reference position • Long axis defined first, followed by axis perpendicular to plane
Proposed decomposition order: Plane of elevation Elevation Axial rotation Gimbal lock when Plane of elevation is 0°, or 180° Applicable for thoracohumeral and glenohumeral motion “Comply or Explain” North Pole 180 150 30 60 90 120 45 60 90 180 30 120 150 0 South Pole [30,120,45] ISB Upper extremity model: procedure
ISB Upper extremity model: intricacies • Landmarks on the scapula can not directly be measured!
Scapula locator ISB Upper extremity model: intricacies • Landmarks on the scapula can not directly be measured! • Use scapula locator • (quasi static) • Use markers on acromion • Reliability above 100° elevation? • Estimate from thorax and arm orientation • Tricky in patients..
ISB Upper extremity model: intricacies • Not unique to the ISB UX approach, but: • Model assumes that local coordinate systems are aligned: no reference position • In full extension, the long axes of the arm might not be exactly aligned: leads to variations in the second rotation. • These variations are NOT elbow abduction.... Or change in carrying angle
ISB Upper extremity model: intricacies • Not unique to the ISB UX approach, but: • Upper extremities have large axial rotations and: • Landmarks / sensors sensitive to soft tissue deformation in axial rotation • Local coordinate definition very sensitive to relative positions of landmarks during calibration (= definition of local coordinate systems) • Advice: always measure a separate reference position, preferably 0° arm elevation, 90° arm axial rotation, 90° flexion and 90° pronation
ISB Upper extremity model: issues y-axis arm • ISB model is based on anatomical frames and not functional axes • Euler angles and joint rotations are not the same: • Elbow motion = forearm segment relative to arm segment • Decomposition yields three Euler angles, but NOT actual elbow joint motion! • The second rotation: ab-adduction is due to ‘mis’alignment, but: • The Euler angles DO describe relative segment motion • For ‘real’ joint motion (flexion, pro-supination), use other axes, or fit a kinematic model z-axis arm y-axis forearm
ISB Upper extremity model: issues • Compatibility: dependent on all steps of the procedure • Landmark choice and definition • Definition order of local segment axes • Decomposition order of orientation matrix • Comply or Explain!
Summary • The ISB protocol is based on anatomical frames • Other options possible, but not interchangeable • The ISB protocol gives a prescribed definition order for local frame axes • Other options possible, but not interchangeable • The ISB protocol defines the decomposition order for segment- and joint orientation matrices / frames • Other options possible, but not interchangeable • ISB protocol is not perfect, but still seems to be the basis for UE motion analyses