A new kinematic model of pro- and supination of the human forearm

Similar documents
A Mathematical Implementation of a Global Human Walking Model with Real-Time Kinematic Personification by Boulic, Thalmann and Thalmann.

Shortest Paths for a Two-Robot Rendez-Vous

Illumination methods for optical wear detection

Optical Flow for Large Motion Using Gradient Technique

Journal of World s Electrical Engineering and Technology J. World. Elect. Eng. Tech. 1(1): 12-16, 2012

Positioning of a robot based on binocular vision for hand / foot fusion Long Han

Controlled Information Maximization for SOM Knowledge Induced Learning

(a, b) x y r. For this problem, is a point in the - coordinate plane and is a positive number.

Point-Biserial Correlation Analysis of Fuzzy Attributes

A modal estimation based multitype sensor placement method

A New and Efficient 2D Collision Detection Method Based on Contact Theory Xiaolong CHENG, Jun XIAO a, Ying WANG, Qinghai MIAO, Jian XUE

Segmentation of Casting Defects in X-Ray Images Based on Fractal Dimension

Accurate Diffraction Efficiency Control for Multiplexed Volume Holographic Gratings. Xuliang Han, Gicherl Kim, and Ray T. Chen

Conservation Law of Centrifugal Force and Mechanism of Energy Transfer Caused in Turbomachinery

ADDING REALISM TO SOURCE CHARACTERIZATION USING A GENETIC ALGORITHM

Cardiac C-Arm CT. SNR Enhancement by Combining Multiple Retrospectively Motion Corrected FDK-Like Reconstructions

Improved Fourier-transform profilometry

Prof. Feng Liu. Fall /17/2016

Detection and Recognition of Alert Traffic Signs

Title. Author(s)NOMURA, K.; MOROOKA, S. Issue Date Doc URL. Type. Note. File Information

2. PROPELLER GEOMETRY

Color Correction Using 3D Multiview Geometry

= dv 3V (r + a 1) 3 r 3 f(r) = 1. = ( (r + r 2

Desired Attitude Angles Design Based on Optimization for Side Window Detection of Kinetic Interceptor *

Prioritized Traffic Recovery over GMPLS Networks

Assessment of Track Sequence Optimization based on Recorded Field Operations

All lengths in meters. E = = 7800 kg/m 3

Journal of Machine Engineering, Vol. 15, No. 4, 2015

Towards Adaptive Information Merging Using Selected XML Fragments

Adaptation of Motion Capture Data of Human Arms to a Humanoid Robot Using Optimization

IP Network Design by Modified Branch Exchange Method

Frequency Domain Approach for Face Recognition Using Optical Vanderlugt Filters

Fifth Wheel Modelling and Testing

4.2. Co-terminal and Related Angles. Investigate

Obstacle Avoidance of Autonomous Mobile Robot using Stereo Vision Sensor

Gravitational Shift for Beginners

Modelling, simulation, and performance analysis of a CAN FD system with SAE benchmark based message set

Generalized Grey Target Decision Method Based on Decision Makers Indifference Attribute Value Preferences

A Memory Efficient Array Architecture for Real-Time Motion Estimation

A Two-stage and Parameter-free Binarization Method for Degraded Document Images

A Haptic-Assisted Guidance System for Navigating Volumetric Data Sets

On Error Estimation in Runge-Kutta Methods

RANDOM IRREGULAR BLOCK-HIERARCHICAL NETWORKS: ALGORITHMS FOR COMPUTATION OF MAIN PROPERTIES

Directional Stiffness of Electronic Component Lead

5 4 THE BERNOULLI EQUATION

ISyE 4256 Industrial Robotic Applications

FACE VECTORS OF FLAG COMPLEXES

Comparisons of Transient Analytical Methods for Determining Hydraulic Conductivity Using Disc Permeameters

Transmission Lines Modeling Based on Vector Fitting Algorithm and RLC Active/Passive Filter Design

A NOVEL VOLUME CT WITH X-RAY ON A TROUGH-LIKE SURFACE AND POINT DETECTORS ON CIRCLE-PLUS-ARC CURVE

INFORMATION DISSEMINATION DELAY IN VEHICLE-TO-VEHICLE COMMUNICATION NETWORKS IN A TRAFFIC STREAM

A VECTOR PERTURBATION APPROACH TO THE GENERALIZED AIRCRAFT SPARE PARTS GROUPING PROBLEM

An Unsupervised Segmentation Framework For Texture Image Queries

Elastohydrodynamic Lubrication Analysis of Journal Bearings Using CAD

Development and Analysis of a Real-Time Human Motion Tracking System

Also available at ISSN (printed edn.), ISSN (electronic edn.) ARS MATHEMATICA CONTEMPORANEA 3 (2010)

A ROI Focusing Mechanism for Digital Cameras

OPTIMAL KINEMATIC SYNTHESIS OF CRANK & SLOTTED LEVER QUICK RETURN MECHANISM FOR SPECIFIC STROKE & TIME RATIO

3D Reconstruction from 360 x 360 Mosaics 1

The International Conference in Knowledge Management (CIKM'94), Gaithersburg, MD, November 1994.

3D Hand Trajectory Segmentation by Curvatures and Hand Orientation for Classification through a Probabilistic Approach

a Not yet implemented in current version SPARK: Research Kit Pointer Analysis Parameters Soot Pointer analysis. Objectives

Concomitants of Upper Record Statistics for Bivariate Pseudo Weibull Distribution

DEADLOCK AVOIDANCE IN BATCH PROCESSES. M. Tittus K. Åkesson

Topological Characteristic of Wireless Network

A Minutiae-based Fingerprint Matching Algorithm Using Phase Correlation

Multi-azimuth Prestack Time Migration for General Anisotropic, Weakly Heterogeneous Media - Field Data Examples

SYSTEM LEVEL REUSE METRICS FOR OBJECT ORIENTED SOFTWARE : AN ALTERNATIVE APPROACH

3D inspection system for manufactured machine parts

New Algorithms for Daylight Harvesting in a Private Office

Image Enhancement in the Spatial Domain. Spatial Domain

Effects of Model Complexity on Generalization Performance of Convolutional Neural Networks

A Novel Image-Based Rendering System With A Longitudinally Aligned Camera Array

Dr. A.B.M. Toufique Hasan. Lecture-13

An Assessment of the Efficiency of Close-Range Photogrammetry for Developing a Photo-Based Scanning Systeminthe Shams Tabrizi Minaret in Khoy City

ANALYTIC PERFORMANCE MODELS FOR SINGLE CLASS AND MULTIPLE CLASS MULTITHREADED SOFTWARE SERVERS

Assessment of query reweighing, by rocchio method in farsi information retrieval

Massachusetts Institute of Technology Department of Mechanical Engineering

Performance Optimization in Structured Wireless Sensor Networks

Monte Carlo Simulation for the ECAT HRRT using GATE

Proactive Kinodynamic Planning using the Extended Social Force Model and Human Motion Prediction in Urban Environments

HISTOGRAMS are an important statistic reflecting the

Investigation of turbulence measurements with a continuous wave, conically scanning LiDAR. Risø-R-Report

Module 6 STILL IMAGE COMPRESSION STANDARDS

QUANTITATIVE MEASURES FOR THE EVALUATION OF CAMERA STABILITY

A Neural Network Model for Storing and Retrieving 2D Images of Rotated 3D Object Using Principal Components

Annales UMCS Informatica AI 2 (2004) UMCS

Switching and Fault Transients of Unit Transformers of a Combined-Cycle Gas Turbine Generator

TCBAC: An Access Control Model for Remote Calibration System

High performance CUDA based CNN image processor

arxiv: v2 [physics.soc-ph] 30 Nov 2016

Cellular Neural Network Based PTV

Communication vs Distributed Computation: an alternative trade-off curve

View Synthesis using Depth Map for 3D Video

Hybrid Stiff/Compliant Workspace Control for Robotized Minimally Invasive Surgery

Mobility Pattern Recognition in Mobile Ad-Hoc Networks

Detection and tracking of ships using a stereo vision system

Experimental and numerical simulation of the flow over a spillway

Lecture # 04. Image Enhancement in Spatial Domain

Several algorithms exist to extract edges from point. system. the line is computed using a least squares method.

Transcription:

Jounal of Biomechanics 33 (2) 487}491 Technical note A new kinematic model of po- supination of the human foeam A.M. Weinbeg, I.T. Pietsch*, M.B. Helm, J. Hesselbach, H. Tschene Tauma Depatment of the Medical Univesity of Hanove (MHH), Gemany Institute of Machine Tools Poduction Engineeing, Technical Univesity of Baunschweig, D-3816 Baunschweig, Gemany Accepted 12 Octobe 1999 Abstact We intoduce a new kinematic model descibing the motion of the human foeam bones, ulna adius, duing foeam otation. Duing this motion between the two foeam extem-positions, efeed to as supination (palm up) ponation (palm down), e!ects occu, that cannot be explained by the the established kinematic model of R. Fick fom 194. Especially, the motion of the ulna is not popely epoduced by Fick's model. Duing foeam otation an evasive motion of the ulna is obseved by vaious authos, using magnetic esonance imaging (MRI) technology. Ou new kinematic model also simulates this evasive motion. Futhemoe, the model is enlaged to include angulations of the foeam bones. Using these esults the in#uence of foeam factues on the ange of foeam motion can be pedicted. This knowledge can be used by sugeons to choose the optimal theapy in e-establishing fee foeam mobility. 2 Elsevie Science Ltd. All ights eseved. 1. Intoduction Pefomance of the po- supination motion is impotant to the human capability of acting in a "nemotoial way, which is necessay in an inceasing numbe of technical jobs eveyday life. Foeam factues sometimes esult in boken bones healing in angulated positions (Nilsson Obant, 1977; Kudena, 198). Today, a physicians evaluation of the neccesity to opeate is based on a small amount of available infomation clinical studies. As a esult of this lack of knowledge many patients with fesh factues ae opeated on, to foce the boken bone in a cetain position wheeas the physician is not sue about the e!ect of the cuent bone-position (Weine, 1981). This situation motivated ou eseach with the goal of pesenting a kinematic model, which pedicts the limitation of motion caused by a known angulation. With this knowledge unnecessay opeations can be pevented the esults of the necessay ones can be impoved. Foeam motion eseach began in the ealy 2th centuy. Fick (194) pesented the "st kinematic model descibing foeam motion, which is still used in many publications (e.g. Kudena, 198; Geen Swiontkowski, 1998). The model basis equies the ulna to emain "xed duing the whole otation, as shown in the left dawing of Fig. 1. Accoding to Fick, the h should not stay paallel duing otation, which is easily efuted by pesonal expeience. The ight dawing in Fig. 1 depicts the evasive motion of ulna adius, which ensues the paallelism of the h to the elbow. 2. Methods The new kinematic model uses a database of MRIscans of the po- supination that wee evaluated in 3 healthy foeams fo kinematic behavio (Weinbeg et al., 1997). The scans wee taken at di!eent sections of the foeam fo seveal po- supination-angles. Spatial motion of the bones involved in po- supination equie a spatial mechanism. 2.1. Kinematic model fo healthy foeam bones The eseach pogam is suppoted by the Geman Reseach Foundation (DFG). * Coesponding autho. E-mail addess: i.pietsch@tu-bs.de (I.T. Pietsch) 21-929//$- see font matte 2 Elsevie Science Ltd. All ights eseved. PII: S 2 1-9 2 9 ( 9 9 ) 1 9 5-5 The degee of feedom F (d.o.f.) fo a geneal spatial mechanism is given by F"6(n!g!1)# f, (1)

488 A.M. Weinbeg et al. / Jounal of Biomechanics 33 (2) 487}491 Fig. 2. Kinematic model of the foeam consisting of fou elements, depicted as a vecto chain. Fig. 1. Fick's model fom 194 (left) does not allow the h to stay paallel to the elbow duing foeam otation. Evasive movement of ulna adius to ensue paallelism of h elbow as pefomed in eality (ight). whee n is the numbe of elements, g the numbe of joints f the d.o.f. of each joint. We chose a closed kinematic chain with fou joints as ou model. With n"g"4 the positive gea constaint of F"1, we "nd using (1) that, f "1!6(4!4!1)"7 (2) which means distibution of seven d.o.f. among the fou joints. Fig. 2 depicts ou mechanism. It has one spheical joint (d.o.f."3) on the poximal end of the ulna (1) one otational joint (d.o.f."1) on the ulna's distal end (2). The adius has one cadanic joint (d.o.f."2) on the distal end (3) a pismatic joint (d.o.f."1) on the poximal end (4) (Kele Findt, 1997). Fo the mathematical fomulation of this system, a closed vecto-chain is intoduced in Fig. 2. The angle α indicates the actual position of po- o supination. Theefoe, the total d.o.f. of the system is one, it is now possible to "nd exactly one clea position of the mechanism fo evey angle α. The length of the bones (the length of the vectos ) is called l the distance between thei centes at thei ends (the length of the vectos ) is called l. " "l, " "l, "f (α). (3) The whole set of vectos descibes a closed kinematic chain. Fom this condition aises the equation " (4) ". The initial conditions in supination position (α"93 :"α ) ae: (α )" (α)"l 1 (5), (α )"l 1, (6) (α )"l!1, (7) (α )" (α)"l!1, (8) (α )". (9) The condition ( (α) (α))( (α) (α)) (1) yields (α)"l (11) sin(α) cos(α). 3 can be detemined by making use of (α)# (α)"l (12) (α)# (α)". (13) With (12) (11), espectively, (13) (11) we obtain (α)"l (1!sin(α)) (14) (α)"!l cos(α). (15)

A.M. Weinbeg et al. / Jounal of Biomechanics 33 (2) 487}491 489 Eqs. (14) (15), the magnitude of (α) (α)" # #, (16) togethe with (7) esults in 1!sin(α) (α)"l! l!2(1!sin(α)). (17) l!cos(α) Fig. 3. Vectos of the angulated ulna. The vecto is eplaced by the vectos. Fig. 2 sets foth that (α)" (α)", because of the pismatic joint that allows only motions in the diection of the y-axis. In ode to meet (α) (α), (18) complies with (α)" (α)# (α). (19) Hence, l (α)"l! l l!2(1!sin(α)). (2) l 2.2. Angulated bones The basic idea of pedicting the in#uence of angulations on the ange of foeam motion is the calculation of the minimal distance between the two bones of the healthy foeam setting that equal to the minimum allowable distance of the angulated foeam. To do so, we measue the ange of ponation of the healthy foeam calculate the minimal distance between the vectos epesenting ulna adius of ou kinematic model. The ange of otation of the human foeam inceases by the natual bending of the bones, especially of the adius. Although ou model uses staight vectos, we conside this e!ect by calculating the distance of the vectos epesenting the healthy foeam at maximal ponation, which natually can only be achieved though bending of the adius. Theefoe, ou calculation method seves as a type of nomalization fo the in#uence of the bending of the bones. With this value the known size of the patient's bones taken fom the X-aypictues we calculate the distances between the foeam bones in the angulated case as a function of α stop, when eaching the minimal distance of the healthy am. 2.2.1. Angulated ulna To go futhe fom this point, a model fo the system with angulations is needed. To achieve this an extended Fig. 4. Vectos of the angulated adius. The vecto is decomposed into the vectos. vecto loop, that includes one additional-vecto fo evey angulation is intoduced. The paametes k, k k identify the angulation in the local coodinate-system of the factued bone ae chosen to be taken diectly fom the X-ay-pictues. The local x-component k can be measued fom a.p. X-ay. It is de"ned as positive if it points in diection of the thumb. The local y-component k, taken fom both the a.p. side pictues is measued fom the elbow to point A in supination. The z-component k, visible in the side pictue is positive if the angulation is in palma diection. These vectos ae depicted in Fig. 3 along with one angulation of the ulna. We intoduce the new vectos in Fig. 4. meet the following condition fo evey α: (α)# (α)" (α)# (α). (21) We "nd the initial condition of as (α"α )"!k k. (22) k Using Fig. 3, (5), (2) (22) we obtain (α)" k l ( # ) " k l l #l l l! l l!2(1!sin(α)). (23)

49 A.M. Weinbeg et al. / Jounal of Biomechanics 33 (2) 487}491 Only the y-values of (α) is dependent of α, hence, (α)"!k (α). (24) k With (5) (2) the position vecto of point B amounts to (α)" (α)# (α) " l (! l!2(1!sin(α))# 2l ). (25) l l (α) is the di!eence between (α) (25) (α) (24): (α)" (α)! (α) " k (1! k )l (! l l!2(1!sin(α))# 2l ). l l!k (26) 2.2.2. Angulated adius The case of the angulated adius is moe complicated, because the adius pefoms a spatial motion, wheeas the ulna moves only in y-diection. To hle this case we de"ne the local coodinate-system of the adius (Fig. 4). The index indicates the local coodinate-system of the adius: e ", e ", e "e e. (27) Now, it is easy to descibe the additional vectos in the new coodinates. "l 1 (28), "k kh, (29) k whee kh"l!k (3) "!k k!k. (31) Using (27), (29)}(31) can be tansfomed as " ) e (32) " ) e. (33) The model can easily be exped to deal with a double-faction of ulna adius by combining (6), (8), (24), (26), (32) (33). 3. Results We lean fom Weinbeg et al. (1997) that the amount of evasive angle of the ulna adius (Fig. 1 * ight half) elative to its supination position is 7.363 on aveage. This evasive motion in ou model is pefomed by the extension of (Fig. 2). This tanslation can easily be ecalculated fo the natual evasive movement. By using a typical adults elation of 8 : 1 fo the length of the foeam-bones compaed to thei distance in full supination position, we "nd a length incease of 3.1% which is equal to 7.23 of evasion otation. Hence, ou kinematic model is in good ageement with the measued values of the MRI-study. Futhemoe, we will discuss two examples to show the eliability of ou pognoses. 1. The "st patient is female "ve-yeas old has a lefth-side foeam factue of the ulna. Fom the a.p. X-ay-pictues we measued l "153 mm (length of the adius), l "14.1 mm (diamete of the capitulum adii, which we use as a measuement fo l ) the dosal angulation of the factue k "!3.5 mm. Fom the side- X-ay-pictue we "nd the distance fom the factue to the elbow k "46.7 mm the angulation of the ulna towads the adius k "!3.5 mm. The ange of motion of the healthy am amounts to 83 in ponation diection. The angulation of the ulna does not limit the patients ange of motion. By using ou model fo the boken ulna we calculated a ange of motion of 83 in ponation diection, which is seen in eality.

A.M. Weinbeg et al. / Jounal of Biomechanics 33 (2) 487}491 491 2. The second example is a 31-yea old male with a adius factue on the ight foeam. The length of the adius amounts l "259 mm, the diamete of the capitulum adii is l "24 mm, measued fom the a.p. X-ay. The paamete of the factue ae k "!5 mm (a.p. X-ay), k "11 mm k "17 mm (k k fom side X-ay). The ange of motion of the left foeam is 753 in ponation diection. The ange of otation of the ight am is esticted to 3 in ponation diection. Calculating the ange of motion using the equations fo the boken adius yields 33 of ponation. 4. Discussion In 1872, Duchenne (1949) descibed the motion of the ulna duing ponation}supination as an ac of a cicle, which involved "st an extension, then a lateal motion lastly a #exion of the ulna. This desciption of the ulna motion was substantiated in 1884 by Heibeg (1884) Dwight (1884). Although this fact was known long ago, many authos "xed the ulna when examining the foeam otation. With this simpli"ed assumption they found a "xed otation axis fo the ponation}supination motion. But fo a coect desciption the motions of both foeam bones, adius ulna ae impotant. New expeiments like the MRI-studies pefomed by Nakamua et al. (1994) Weinbeg et al. (1997) with a moveable ulna descibe the ulna motion fom supination to ponation as the combined abduction extension/#exion motion, which is a cooboation of the ealy esults of Duchenne Hiebeg. Futhemoe, instead of a "xed otational axis fo the foeam otation, a otation-angle dependent scew-axis fo the foeam otation is depicted. We exped ou kinematic model to the case of a boken ulna o boken adius. This novelty can be used to pedict the e!ects of foeam factues on the ange of foeam motion. A compaison with a still small patient database showed that the calculating method fo ponation comes vey close to natue. We cannot make a statement fo supination yet. The kinematic model is mainly based on MRI-studies at this stage. We ae going to make expeiments on dead pobs fo a futhe e"nement of ou model, especially fo the angulated case. A compute tool will be developed that pedicts motion estictions due to foeam factues fom knowledge in human foeam otational kinematics befoe the best theapy is chosen, in espect to helping in the pevention of unnecessay opeations theeby cutting health sevice costs patient isk. Futhemoe, the kinematic model could be used to fo futhe investigations of the ole of the humeo-ulna joint duing ponation}supination. This could help to impove existing elbow-joint postheses. Refeences Duchenne, G. B. A. (1949). Physiologiy of Motion, Demonstated by Means of Electical Stimulation Clinical Obsevation Applied to the Study of Paalysis Defomities. Lippicott, Philadelphia (tanslated by Kaplan, E. B.). Dwight, T., 1884. The movements of the ulna in otation of the foeam. Jounal of Anatomy Physiology 19, 186}189. Geen, N. E., & Swiontkowski, M. F. (1998). Skeletal Tauma in Childen. Vol. 3, Saundes, London. Heibeg, J., 1884. The movement of the ulna in otation of the foeam. Jounal of Anatomy Physiology 19, 237}24. Kele, H., & Findt, M. (1997). Zu Kinematik eines biomechanischen Modells fuk den menschlichen Unteam. Poceedings of Getiebetechnik: WanemuK nde, Rostock, Gemany. pp. 115}123 (in Geman). Kudena, H. (198). Zusammenhang zwischen Achsenfehlen und FunktionseinschaK nkungen nach Vodeamfaktuen. Unfallchiugie 6(1), 7}13 (in Geman). Nakamua, T., Yabe, Y., & Hoiuchi, Y. (1994). A biomechanical analysis of ponation}supination of the foeam using magnetic esonance imaging: dynamic changes of the inteosseous membane of the foeam duing ponation}supination. Nippon Seikeigekagakuai Zasshi, Japan (in Japanese). Nilsson, B.E., Obant, K., 1977. The ange of motion following factue of the shaft of the foeam in childen. Acta Othopaedica Scanavia 48, 6}62. Weinbeg, A.-M., Helm, M.B., Rzesacz, E., Reilmann, L., Kele, H., & Reilmann, H. (1997). Can a limited po- supination caused by axis-defomation of the foeam-bones be pedicted using compute-simulation? Compute Assisted Radiology Sugey. Elsevie, Amstedam. p. 145. Weine, B. (1981). SchaftbuK che am Unteam im Kindesalte. Thesis, Klinikum echts de Isa, MuK nchen, Gemany (in Geman).