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Relevant bibliographies by topics / Kinematics of elbow joint

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Academic literature on the topic 'Kinematics of elbow joint'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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Journal articles on the topic "Kinematics of elbow joint"

1

Cui, Bing Yan, and Zhen Lin Jin. "Analysis of Workspace and Rotation Ability for a Novel Humanoid Robot Elbow Joint." Advanced Materials Research 69-70 (May 2009): 585–89. http://dx.doi.org/10.4028/www.scientific.net/amr.69-70.585.

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The workspace and the kinematic transmission play important role on the design and optimation of the eblow joint. In this paper, a novel humanoid robot elbow joint based on 2-DOF orthogonal spherical parallel mechanism is proposed. Position of elbow joint is analyzed using the vector method and projection theory. The kinematic balance equation of the eblow joint is established by analyzing the relationship of its input and output velocity. The kinematics transmission evaluation index and the global kinematic transmission evaluation index of the elbow are defined, and the distribution of the global kinematics transmission evaluation index in the workspace is drawn. And rotation ability of the elbow joint is analyzed. The analytical results indicate the elbow has advantages of big volume, smooth boundary, good kinematic transmission, strong rotation ability, which can provide theoretical base for the applications of the elbow.

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Lenarčič, Jadran, and Nives Klopčar. "Positional kinematics of humanoid arms." Robotica 24, no. 1 (2005): 105–12. http://dx.doi.org/10.1017/s0263574705001906.

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We present the positional abilities of a humanoid manipulator based on an improved kinematical model of the human arm. This was synthesized from electro-optical measurements of healthy female and male subjects. The model possesses three joints: inner shoulder joint, outer shoulder joint and elbow joint. The first functions as the human sternoclavicular joint, the second functions as the human glenohumeral joint, and the last replicates the human humeroulnar rotation. There are three links included, the forearm and the upper arm link which are of a constant length, and the shoulder link which is expandable. Mathematical interrelations between the joint coordinates are also taken into consideration. We determined the reachability of a humanoid arm, treated its orienting redundancy in the shoulder complex and the positional redundancy in the shoulder-elbow complexes, and discussed optimum configurations in executing different tasks. The results are important for the design and control of humanoid robots, in medicine and sports.

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Tanaka, Shinji, Kai-Nan An, and Bernard F. Morrey. "Kinematics and Laxity of Ulnohumeral Joint Under Valgus-Varus Stress." Journal of Musculoskeletal Research 02, no. 01 (1998): 45–54. http://dx.doi.org/10.1142/s021895779800007x.

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Three-dimensional kinematics of the ulnohumeral joint under simulated active elbow joint flexion-extension was obtained by using an electromagnetic tacking device. The joint motion was analyzed based on Eulerian angle description. In order to minimize the effect of "downstream cross-talk" on calculation of the three Eulerian angles, an optimal axis to best represent flexion-extension of the elbow joint was established. This axis, on average, is close to the line joining the centers of the capitellum and the trochlear groove. Furthermore, joint laxity under valgus-varus stress was also examined. With the weight of the forearm as the stress, maximums of 7.6° valgus-varus laxity and 5.3° axial rotation laxity were observed within a range of elbow flexion. The results of this study provide useful baseline information on joint laxity for the evaluation of elbow joints with implant replacements and other surgical treatment modalities.

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Kim, Eugene, Se Jin Park, Ho Seok Lee, et al. "In vivo 3-dimensional Kinematics of Cubitus Valgus after Non-united Lateral Humeral Condyle Fracture." Clinics in Shoulder and Elbow 21, no. 3 (2018): 151–57. http://dx.doi.org/10.5397/cise.2018.21.3.151.

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BACKGROUND: Nonunion of lateral humeral condyle fracture causes cubitus valgus deformity. Although corrective osteotomy or osteosynthesis can be considered, there are controversies regarding its treatment. To evaluate elbow joint biomechanics in non-united lateral humeral condyle fractures, we analyzed the motion of elbow joint and pseudo-joint via in vivo three-dimensional (3D) kinematics, using 3D images obtained by computed tomography (CT) scan.METHODS: Eight non-united lateral humeral condyle fractures with cubitus valgus and 8 normal elbows were evaluated in this study. CT scan was performed at 3 different elbow positions (full flexion, 90° flexion and full extension). With bone surface model, 3D elbow motion was reconstructed. We calculated the axis of rotation in both the normal and non-united joints, as well as the rotational movement of the ulno-humeral joint and pseudo-joint of non-united lateral condyle in 3D space from full extension to full flexion.RESULTS: Ulno-humeral joint moved to the varus on the coronal plane during flexion, 25.45° in the non-united cubitus valgus group and ?2.03° in normal group, with statistically significant difference. Moreover, it moved to rotate externally on the axial plane ?26.75° in the non-united cubitus valgus group and ?3.09° in the normal group, with statistical significance. Movement of the pseudo-joint of fragment of lateral condyle showed irregular pattern.CONCLUSIONS: The non-united cubitus valgus group moved to the varus with external rotation during elbow flexion. The pseudo-joint showed a diverse and irregular motion. In vivo 3D motion analysis for the non-united cubitus valgus could be helpful to evaluate its kinematics.

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Qin, Jin, Matthieu Trudeau, Bryan Buchholz, Jeffrey N. Katz, Xu Xu, and Jack T. Dennerlein. "Joint Contribution to Fingertip Movement During a Number Entry Task: An Application of Jacobian Matrix." Journal of Applied Biomechanics 30, no. 2 (2014): 338–42. http://dx.doi.org/10.1123/jab.2013-0093.

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Upper extremity kinematics during keyboard use is associated with musculoskeletal health among computer users; however, specific kinematics patterns are unclear. This study aimed to determine the dynamic roles of the shoulder, elbow, wrist and metacarpophalangeal (MCP) joints during a number entry task. Six subjects typed in phone numbers using their right index finger on a stand-alone numeric keypad. The contribution of each joint of the upper extremity to the fingertip movement during the task was calculated from the joint angle trajectory and the Jacobian matrix of a nine-degree-of-freedom kinematic representation of the finger, hand, forearm and upper arm. The results indicated that in the vertical direction where the greatest fingertip movement occurred, the MCP, wrist, elbow (including forearm) and shoulder joint contributed 10.2%, 55.6%, 27.7% and 6.5%, respectively, to the downward motion of the index finger averaged across subjects. The results demonstrated that the wrist and elbow contribute the most to the fingertip vertical movement, indicating that they play a major role in the keying motion and have a dynamic load beyond maintaining posture.

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Rahman, Munsur, Akin Cil, and Antonis Stylianou. "Medial Collateral Ligament Deficiency of the Elbow Joint: A Computational Approach." Bioengineering 5, no. 4 (2018): 84. http://dx.doi.org/10.3390/bioengineering5040084.

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Computational elbow joint models, capable of simulating medial collateral ligament deficiency, can be extremely valuable tools for surgical planning and refinement of therapeutic strategies. The objective of this study was to investigate the effects of varying levels of medial collateral ligament deficiency on elbow joint stability using subject-specific computational models. Two elbow joint models were placed at the pronated forearm position and passively flexed by applying a vertical downward motion on humeral head. The models included three-dimensional bone geometries, multiple ligament bundles wrapped around the joint, and the discretized cartilage representation. Four different ligament conditions were simulated: All intact ligaments, isolated medial collateral ligament (MCL) anterior bundle deficiency, isolated MCL posterior bundle deficiency, and complete MCL deficiency. Minimal kinematic differences were observed for isolated anterior and posterior bundle deficient elbows. However, sectioning the entire MCL resulted in significant kinematic differences and induced substantial elbow instability. Joint contact areas were nearly similar for the intact and isolated posterior bundle deficiency. Minor differences were observed for the isolated anterior bundle deficiency, and major differences were observed for the entire MCL deficiency. Complete elbow dislocations were not observed for any ligament deficiency level. As expected, during isolated anterior bundle deficiency, the remaining posterior bundle experiences higher load and vice versa. Overall, the results indicate that either MCL anterior or posterior bundle can provide anterior elbow stability, but the anterior bundle has a somewhat bigger influence on joint kinematics and contact characteristics than posterior one. A study with a larger sample size could help to strengthen the conclusion and statistical significant.

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Olsen, Bo Sanderhoff, J. O. Søjbjerg, K. K. Nielsen, M. T. Væsel, M. Dalstra, and O. Sneppen. "Posterolateral elbow joint instability: The basic kinematics." Journal of Shoulder and Elbow Surgery 7, no. 1 (1998): 19–29. http://dx.doi.org/10.1016/s1058-2746(98)90179-3.

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Kaufmann, R. A. "Elbow Position Affects Distal Radioulnar Joint Kinematics." Yearbook of Hand and Upper Limb Surgery 2010 (January 2010): 94–95. http://dx.doi.org/10.1016/s1551-7977(10)79395-x.

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Fu, Eric, Guoan Li, J. Sebastiaan Souer, et al. "Elbow Position Affects Distal Radioulnar Joint Kinematics." Journal of Hand Surgery 34, no. 7 (2009): 1261–68. http://dx.doi.org/10.1016/j.jhsa.2009.04.025.

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Laschowski, Brock, Naser Mehrabi, and John McPhee. "Inverse Dynamics Modeling of Paralympic Wheelchair Curling." Journal of Applied Biomechanics 33, no. 4 (2017): 294–99. http://dx.doi.org/10.1123/jab.2016-0143.

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Paralympic wheelchair curling is an adapted version of Olympic curling played by individuals with spinal cord injuries, cerebral palsy, multiple sclerosis, and lower extremity amputations. To the best of the authors’ knowledge, there has been no experimental or computational research published regarding the biomechanics of wheelchair curling. Accordingly, the objective of the present research was to quantify the angular joint kinematics and dynamics of a Paralympic wheelchair curler throughout the delivery. The angular joint kinematics of the upper extremity were experimentally measured using an inertial measurement unit system; the translational kinematics of the curling stone were additionally evaluated with optical motion capture. The experimental kinematics were mathematically optimized to satisfy the kinematic constraints of a subject-specific multibody biomechanical model. The optimized kinematics were subsequently used to compute the resultant joint moments via inverse dynamics analysis. The main biomechanical demands throughout the delivery (ie, in terms of both kinematic and dynamic variables) were about the hip and shoulder joints, followed sequentially by the elbow and wrist. The implications of these findings are discussed in relation to wheelchair curling delivery technique, musculoskeletal modeling, and forward dynamic simulations.

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Dissertations / Theses on the topic "Kinematics of elbow joint"

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Alrashidi, Mohammad. "In vivo mechanical assessment of human elbow kinematics using a six axis parallel mechanism developed in house." Thesis, Brunel University, 2011. http://bura.brunel.ac.uk/handle/2438/9175.

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Elbow joint laxity is a problem that normally comes with age; it increases up to critical levels due to rupture or damage to the ligaments of the elbow and affects the stability and capacities of the joint, interfering even with daily activities. This work investigates the kinematics of the elbow through in-vivo experimental measurement. To this end, a platform based on Stewart Platform mechanism was built and used at the bioengineering labs of Brunel University in West London, the UK, to measure the six degrees of freedom of the joint. This thesis aims to develop a method to simulate such motion which could be used for elbow implant design and manufacture. This work contributes to both the basic science of joint movement measurement and to the clinical applications of diagnosing elbow illness. In addition this research presents the preliminary results for a design for elbow implants. Tracking system developed in house was used to measure the degrees of freedom in healthy elbow motion. A pilot study was performed to assess the joint motion and its repeatability. A group of volunteers with normal elbow movement was used to carry out this study. A Stewart Platform mechanism based on the tracking system was used in this study as a non-invasive tool to capture elbow joint motion and track the trajectory and pattern of the motion in three-dimensional space. This thesis aimed to develop a method to simulate the elbow joint motion that could potentially be used for the elbow implants design and there manufacture. The goal of this study was achieved by in vivo measurement of the elbow movement. It was found that the results vary from person to person, but a healthy pattern of motion can be distinguished from an abnormal pattern. To ensure the result, the motion of the right and left hand of each person was compared,allowing the behaviour of the elbow motion to be judged and the results can help surgeons to analyze the motion of the elbow joint and follow up suspicions of abnormal behaviour in the joint or trace any possible joint laxity. Furthermore, the errors involved with the mechanism were calculated and appropriate factors were applied to correct them. As part of this study the manufacturing of medical implants was reviewed and discussed.

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Williams, John R. "Some aspects of the biomechanics of the elbow joint : related to prosthetic design." Thesis, University of Oxford, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.360299.

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Chen, Shuenn-muh. "Kinematic and passive resistive properties of human shoulder hip and elbow complexes /." The Ohio State University, 1986. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487266691095932.

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Miguel, Andres Israel. "Contribution of the anconeus muscle to the elbow kinematics : range of motion of 90° of flexion-extension and pronation-supination." Thesis, University of Manchester, 2016. https://www.research.manchester.ac.uk/portal/en/theses/contribution-of-the-anconeus-muscle-to-the-elbow-kinematics-range-of-motion-of-90-of-flexionextension-and-pronationsupination(457e1132-6600-4954-ae28-c8c7b9553247).html.

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The anconeus, a small triangular muscle positioned on the posterolateral part of the elbow joint, has been the subject of considerable research without a satisfactory conclusion being reached regarding the role it plays during normal elbow kinematics. The aim of this investigation was to elucidate the function of the anconeus muscle and find the relative contribution that it makes to elbow kinematics by examining relative electrical muscle activity and elbow kinematics both before and after anconeus defunctioning carried out using a local anaesthetic (lidocaine). The study was performed through an examination of the myoelectric activity of the representative elbow flexor and extensor muscles (biceps brachii and triceps brachii) and the elbow kinematics and kinetics. Right-handed, healthy volunteers performed elbow flexion-extension and supination-pronation movements in both horizontal and sagittal planes before and after blocking of the anconeus. The kinematics and kinetics of the elbow were assessed using inertial sensors, and muscle electrical activity was recorded using surface electromyography. In the following stage of the study, the anconeus muscle was blocked through an injection of lidocaine and then the flexion-extension and pronation-supination movements were repeated. The relative electrical activity results from the anconeus before blocking clearly indicate that the activity of the muscle was higher during the extension portion of the flexion-extension cycle, suggesting that it behaves as an extensor muscle. However, from the paired sample t-test analysis, it was found that blocking of the anconeus had no effect on the kinematics and kinetics of the elbow, including the angular velocity, net torque, power and net joint work. Moreover, the angular velocity data for the elbow, before and after the blocking for all movements, showed a linear trend with slopes and Pearson's correlations close to unity, indicating no apparent difference on the elbow kinematics. In addition, the relative electrical activity of the biceps and triceps brachii muscles did not alter significantly following blocking of the anconeus. These findings suggest that the anconeus muscle is a relatively weak elbow extensor as it is likely that the small contribution that the anconeus provides during extension before blocking is compensated by the triceps brachii after the anconeus is deactivated. In order to provide additional weight and support to the findings of the experimental study, a computational model of the elbow joint was created in Abaqus CAE with the aim of investigating the contribution of the anconeus during the flexion-extension motion. In particular, the effect on the range of motion and contact area of the elbow joint was investigated both before and after anconeus blocking. The analysis was done in a range of motion of 90°, starting with the elbow extended 30° and ending flexed 120°. The elbow joint model considered cortical bone, trabecular bone, cartilage, collateral ligaments, the anconeus, biceps brachii and triceps brachii. The results of the investigation indicated that the anconeus muscle does not produce a significant change in the range of motion and contact area in the articulation, an outcome that supports the findings of the experimental investigation.

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Bhat, Anjana N. "The emergence of purposeful reaching developmental changes and constraints in hand and joint kinematics of early arm movements /." Access to citation, abstract and download form provided by ProQuest Information and Learning Company; downloadable PDF file 6.59 Mb, 138 p, 2005. http://wwwlib.umi.com/dissertations/fullcit/3187605.

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Rohwedder, Thomas. "Fluoroskopische Untersuchung zur dreidimensionalen Ellbogengelenkkinematik bei gesunden sowie dysplastischen Hunden in vivo." Doctoral thesis, Universitätsbibliothek Leipzig, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-186631.

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Einleitung: Die Ellbogengelenkdysplasie (ED) stellt eine der häufigsten Lahmheitsursachen bei jungen Hunden mittelgroßer und großer Rassen dar. Dabei wird der radioulnaren Inkongruenz eine maßgebliche Rolle in der Pathogenese zugesprochen. GUILLOU und Mitarbeiter (2011) konnten zeigen, dass eine axiale radioulnare Translation von bis zu 1 mm in gesunden kaninen Ellbogengelenken in vivo auftritt. Auf dieser Basis entstand die Hypothese einer vermehrten radioulnaren Beweglichkeit in dysplastischen Gelenken, die zu einer dynamischen Inkongruenz führen könnte, da ca. 40 % der Patienten keine messbare Stufe aufweisen. Ziele der Untersuchungen: Ziel der Studie war der Vergleich der dynamischen radioulnaren Inkongruenz bei orthopädisch gesunden und dysplastischen Hunden in vivo. Material und Methoden: Sieben dysplastische Ellbogengelenke von sechs Hunden und sechs orthopädisch gesunde Ellbogengelenke von fünf Hunden sind in die Studie eingegangen. Alle Probanden der ED Gruppe zeigten einen fragmentierten Processus coronoideus medialis ulnae. Nach Implantation von jeweils mindestens drei Markern in Humerus, Radius und Ulna erfolgte die biplanare, fluoroskopische Untersuchung der Gelenke, während die Hunde im Schritt auf einem Laufband geführt wurden. Die gewonnenen Röntgenvideoaufnahmen wurden aufgearbeitet und die gemessene Bewegung der Marker auf rekonstruierte dreidimensionale Knochenmodelle jedes Probanden übertragen. Alle Animationen wurden visuell beurteilt und anschließend die relative radioulnare und humeroulnare Bewegung an den animierten Knochenmodellen gemessen und als Translation in Millimeter und Rotation in Grad angegeben. Weiterhin wurden die Kontaktflächenmuster für die ulnare Gelenkfläche in dysplastischen und gesunden Gelenken bestimmt und gegeneinander visuell verglichen. Ergebnisse: Für die relative radioulnare Translation konnten in der Kontrollgruppe 0,7 mm und in der ED Gruppe 0,5 mm gemessen werden. Beide Werte unterschieden sich nicht signifikant voneinander (P= 0,2092; Konfidenzintervall -0,6 – 0,2). Die relative humeroulnare Rotation lag in der Kontrollgruppe bei 2,9 Grad und in der ED Gruppe bei 5,3 Grad. Damit lag ein signifikanter Unterschied zwischen beiden Gruppen vor (P= 0,0229; Konfidenzintervall 0,4 – 4,4). Die Kontaktflächenmuster zeigten in der Kontrollgruppe, während der dargestellten Fußungsphase, eine homogene Verteilung des Kontaktes über das gesamte mediale Koronoid. Hingegen konnte in dysplastischen Gelenken eine Reduktion des Kontaktes im kraniolateralen Anteil des Koronoids beobachtet werden. Schlussfolgerung: Die radioulnare Bewegung zeigt zwischen gesunden und dysplastischen Gelenken keinen signifikanten Unterschied auf. Die Hypothese einer ausgeprägten Translation zwischen Radius und Ulna in Gelenken erkrankter Hunde, die während der Bewegung zu einer dynamischen RUI führt kann damit widerlegt werden. Allerdings zeigt der Humerus in dysplastischen Gelenken eine vermehrte Rotationsbewegung, die zu einer Verlagerung der Trochlea humeri gegen den medialen Kronfortsatz führt. Dieser visuell und quantitativ erfasste Effekt spiegelt sich auch in den Kontaktflächenmustern wieder. Da Pathologien im Sinne des FPC typischerweise im Bereich des dargestellten, konzentrierten Kontaktes auftreten, ist davon auszugehen, dass es durch die humerale Rotation zu einer vermehrten Belastung des Koronoids kommt, welche zur Fragmentation des Kronfortsatzes führen kann. Die Ursache dieser vermehrten Bewegung ist derzeit nicht bekannt. Möglicherweise spielen Weichteilpathologien eine Rolle, ähnlich der Pathogenese der Hüftgelenksdysplasie. Neben der bereits bekannten und beschriebenen statischen RUI scheint die Rotationsinstabilität des Humerus eine entscheidende Rolle in der Pathogenese der ED zu spielen, insbesondere in kongruent erscheinenden Gelenken<br>Introduction: Elbow dysplasia (ED) is one of the most frequent reasons for forelimb lameness especially in young large breed dogs. Radio-ulnar incongruence is discussed to be one of the main factors in the pathogenesis of ED. GUILLOU et al. (2011) described an axial translation between the radius and the ulna up to 1 mm in sound canine elbow joints in vivo. Based on this study we developed the hypothesis that pronounced radio-ulnar movement in dysplastic joints leads to a dynamic radio-ulnar incongruence. This dynamic incongruence might explain why 40 % of dysplastic dogs show no measurable step formation. Objective: The aim of the study was to compare the dynamic radio-ulnar incongruence in sound and dysplastic dogs in vivo. Material and Methods: Seven dysplastic joints in six dogs and six sound joints in five dogs were evaluated. All dysplastic joints showed a fragmented coronoid process and a radio-ulnar incongruence and cartilage lesions on the ulnar and humeral joint surface in a varying degree. A minimum of three Tantalum markers were implanted into the Humerus, Radius and Ulna each. Afterwards biplanar fluoroscopic gait analysis was performed while the dogs were walking on a treadmill. Gained marker movement was transferred onto reconstructed three dimensional CT bone models of each dog. The 3D animations were visually assessed and relative movement between the radius and ulna as well as between the humerus and ulna was measured and expressed as translation (millimeter) and rotation (degree). Further the joint contact patterns of the ulnar joint surface were determined for all dysplastic and sound joints and visually compared to each other. Results: Relative radio-ulnar translation was 0.7 mm in sound joints and 0.5 mm in dysplastic joints. There was no significant difference between these two groups (P= 0.2092; convidence interval -0.6 to 0.2). A significant difference between the dysplastic and the sound group was present in the relative humeral rotation (P= 0.0229; convidence interval 0.4 to 4.4). Humeral rotation relative to the ulna was 2.9 degree in sound and 5.3 degree in dysplastic joints. Humero-ulnar contact at the medial coronoid process was evenly distributed over the medial coronoid process in control elbows, while contact area in dysplastic elbows was reduced and shifted to the lateral aspect of the medial coronoid process Conclusion: Radio-ulnar movement is not significantly different between dysplastic and sound elbow joints. So the hypothesis of a pronounced axial translation between the radius and the ulna in dysplastic joints, leading to dynamic RUI can be neglected. However the humerus shows a significantly pronounced rotational movement in dysplastic joints compared to sound elbows. The trochlea humeri moves towards cranio-lateral and hits the medial coronoid process at its cranio-lateral aspect. The effect of this rotational movement can be shown in the joint contact patterns of the ulnar joint surface. Contact is shifted towards the tip and the lateral aspect of the coronoid process. In that area fragmentation of the medial coronoid process is typically observed. It seems that rotation of the humerus relative to the ulna leads to reduced contact and mechanical overload of the coronoid process. The cause of this increased rotational movement remains unknown. Maybe the documented movement could be interpreted as joint instability similar to the pathogenesis of hip dysplasia in which soft tissue laxity results in joint instability and degenerative joint disease. Besides the already described static radio-ulnar incongruence humeral rotational instability seems to play a role in the pathogenesis of elbow dysplasia, especially in congruent joints

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Eftaxiopoulou, Theofano. "Measuring elbow kinematics in cricket bowling." Thesis, Imperial College London, 2011. http://hdl.handle.net/10044/1/9133.

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In the sport of cricket the objective of the ‘no-ball’ law is to allow no performance advantage through elbow extension during ball delivery. Since the advent of high-speed video photography it has been revealed that some straightening occurs in bowlers who have actions that are traditionally considered in accordance with the law. Measuring the three-dimensional movement of the elbow is vital when assessing bowling legality in cricket. However, the elbow joint is a complex structure with a remarkable range of motion and tracking its movement through skin-based techniques can be highly erroneous due to the thick layer of skin overlying the joint. Within this work, a biomechanical model was mathematically developed and experimentally validated to assess bowling legality in cricket. The new model meets all of the specifications of a measurement method to be used in sports-related biomechanical studies for non-invasive measurement of joint kinematics at high speeds whilst allowing for the subject to move freely within a large volume. The model was compared with existing methods via a series of sensitivity analyses and was found to significantly improve repeatability compared to available elbow measurement techniques particularly in measuring subtle elbow rotations, such as elbow abduction and forearm pronation. In addition this model can be easily implemented within the existing experimental protocol for assessing bowling legality in cricket as proposed by the England and Wales Cricket Board and will be used in future clinical and sport-related studies.

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Rath, David A. "Design and development of an elbow loading apparatus and the determination of elbow kinematics." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape16/PQDD_0010/MQ28647.pdf.

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Guthrie, Susan. "Osteochondrosis in the canine elbow joint." Thesis, Royal Veterinary College (University of London), 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.308068.

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Boddington, Richard John. "The design of a new elbow prosthesis." Thesis, University of Cape Town, 1994. http://hdl.handle.net/11427/25886.

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Books on the topic "Kinematics of elbow joint"

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Andrews, James R. Elbow arthroscopy. Mosby, 1994.

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Arthroscopic surgery of the shoulder, elbow, and ankle. C.C. Thomas, 1986.

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Waide, David Victor. Topography-contact area relationships in the elbow joint. University College Dublin, 1997.

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American Shoulder and Elbow Surgeons (Organization), ed. Orthopaedic knowledge update: Shoulder and elbow 4. American Academy of Orthopaedic Surgeons, 2013.

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Chhabra, Anikar. Arthritis & arthroplasty: The hand, wrist and elbow. Saunders/Elsevier, 2010.

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Morgan, Joe P. Hereditary bone and joint diseases in the dog: Osteochondroses, hip dysplasia, elbow dysplasia. Schlütersche, 2000.

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Olderman, Rick. Fixing you: Shoulder & elbow pain : self treatment for rotator cuff strain, shoulder impingement, tennis and golfers elbow, and other diagnoses. Boone Publishing, 2010.

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Mutambara, Arthur G. O. A framework for a supervisory expert system for robotic manipulators with joint-position limits and joint-rate limits. National Aeronautics and Space Administration, Lewis Research Center, 1998.

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(2001), Journées françaises de radiologie. Imagerie du coude. Sauramps médical, 2003.

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Khan, Shelly. The isometric muscle activity-joint angle function to produce constant torque at the human elbow. National Library of Canada = Bibliothèque nationale du Canada, 1991.

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Book chapters on the topic "Kinematics of elbow joint"

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Dellon, A. Lee. "Lateral Elbow (Tennis Elbow) Denervation." In Joint Denervation. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-05538-7_6.

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Sattler, Horst, and Ulrich Harland. "Elbow Joint." In Arthrosonography. Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-73867-8_3.

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Spittler, Jack, and Adam Seidl. "Elbow Joint." In Sports-related Fractures, Dislocations and Trauma. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-36790-9_16.

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Harwood, Paul, and Peter V. Giannoudis. "Elbow Joint." In Practical Procedures in Orthopedic Surgery. Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-817-1_5.

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Wittenburg, Jens. "Two-Joint Chains." In Kinematics. Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-48487-6_7.

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Carpes, Felipe P., Rodrigo R. Bini, and Jose Ignacio Priego Quesada. "Joint Kinematics." In Biomechanics of Cycling. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05539-8_4.

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Dellon, A. Lee. "Medial Elbow (Pitcher’s and Golfer’s Elbow) Denervation." In Joint Denervation. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-05538-7_7.

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Aly, Amr Mohamed, Parth Agrawal, and Gregory Bain. "Elbow Joint Denervation." In Surgical Techniques for Trauma and Sports Related Injuries of the Elbow. Springer Berlin Heidelberg, 2019. http://dx.doi.org/10.1007/978-3-662-58931-1_106.

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Pierre-Jerome, C., M. Shahabpour, and K. Vandenborne. "The Elbow Joint." In Magnetic Resonance Imaging and Spectroscopy in Sports Medicine. Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-75686-3_6.

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Guyot, Jacques. "The Elbow Joint." In Atlas of Human Limb Joints. Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-662-21647-7_5.

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Conference papers on the topic "Kinematics of elbow joint"

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Alrashidi, M., İ. Yıldız, K. Alrashdan, and İ. Esat. "Evaluating elbow joint kinematics with the Stewart Platform Mechanism." In BIOMED 2009. WIT Press, 2009. http://dx.doi.org/10.2495/bio090171.

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Yang, Hui, Chaoqun Xiang, Hui Han, and Lina Hao. "Inverse kinematics modeling and motion control of PAM bionic elbow joint." In 2015 IEEE International Conference on Robotics and Biomimetics (ROBIO). IEEE, 2015. http://dx.doi.org/10.1109/robio.2015.7418958.

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Ferreira, Louis M., Graham J. King, and James A. Johnson. "Motion-Derived Joint Coordinate Systems Reduce Inter-Subject Variability of Elbow Flexion Kinematics." In ASME 2009 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2009. http://dx.doi.org/10.1115/sbc2009-206671.

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Anatomic coordinate systems are widely used in biomechanics research and have found some applications in orthopaedic surgical procedures such as joint arthroplasty. With respect to the elbow, coordinate systems for the humerus and ulna are often derived from surface scans or digitizations of specific anatomical features.

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Heidari, Omid, John O. Roylance, Alba Perez-Gracia, and Eydie Kendall. "Quantification of Upper-Body Synergies: A Case Comparison for Stroke and Non-Stroke Victims." In ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/detc2016-59314.

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Motion synergies are principal components of the movement, obtained as combinations of joint degrees of freedom, that account for common postures of the human body. These synergies are usually obtained by capturing the motion of the human joints and reducing the dimensionality of the joint space with techniques such as principal component analysis. In this work, an experimental procedure to investigate the synergies of the upper body is developed and the results of the pilot study are shown. The upper-limb kinematics includes the joint complexes of the hand, wrist, forearm, elbow, and shoulder. The different kinematic models in the literature have been reviewed, and a serial chain is considered from the upper arm. A three degree of freedom (3-DOF) linkage containing two revolute joints and one prismatic joint has been chosen to simulate the shoulder motion. A spherical joint represents the Glenohumeral (GH) joint; the elbow and ulna-radius rotations are represented by two revolute joints and the wrist is modeled with two revolute joints. The hand has a tree structure and branches into the individual phalanges, with a 2-dof MCP joint and single R joints for the rest of the phalangeal joints. The data are collected using motion capture and the joint angles are calculated using a combination of dimensional synthesis and inverse kinematics. Principal component analysis can be used to extract the synergies for a set of previously-selected motions. The motions are performed by healthy subjects and subjects who have suffered stroke, in order to see the changes in the motion primitives. It is expected that this study will help quantify and classify some of the loss of motion due to stroke.

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Moon, Hyosang, Nina P. Robson, Reza Langari, and John J. Buchanan. "Experimental Observations on the Central Nervous System’s Governing Strategies on the Arm Reaching With Reduced Mobility." In ASME 2012 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/imece2012-87763.

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For the motion planning of a point–to–point reaching task with a healthy arm, the CNS tends to plan the shortest hand path between two task points with a bell–shaped velocity profile. If any kinematic or dynamic constraints are imposed on the arm, the CNS adapts to the changes by incorporating learning mechanism into the motion planning. This paper seeks to identify the modified motion planning strategies of the CNS when the elbow joint is constrained to move. We present an experimental protocol, where subjects perform point–to–point reaching tasks with a lightweight elbow brace to restrict the joint kinematics with a minimal effect on the arm dynamics. From the experimental observations, the human strategies on each aspect of motion planning (i.e. hand path geometry, speed of the motion, and the arm posture selection) are hypothesized. The hypothesized strategies are developed as models and compared with the experimental data. As a result, we found that the hand path follows the rhumb line on the constraint workspace while the speed profile preserves a bell–shape, which can be roughly approximated by the minimum jerk model. In addition, by comparing the joint contributions data with and without the elbow constraint, it is hypothesized that the CNS resolves the redundancy of the inverse kinematics problem by reducing the kinetic energy of the limbs.

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Fisk, Justin P., and Jennifer S. Wayne. "Validation of a Computational Musculoskeletal Model of the Elbow." In ASME 2007 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2007. http://dx.doi.org/10.1115/sbc2007-176509.

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Musculoskeletal computational modeling can be a powerful and useful tool to study joint behavior, examine muscle and ligament function, measure joint contact pressures, simulate injury, and analyze the biomechanical results of reconstructive procedures. Commonly, biomechanical models are based on either finite element analysis (FEA) or three-dimensional rigid body dynamics. While each approach has advantages for specific applications, rigid body dynamics algorithms are highly efficient [1], thus significantly reducing solution time. Many musculoskeletal models of the elbow have been developed [2, 3], but all have constrained the articulations to have particular degrees of freedom and ignored the effects of ligaments. An accurate and robust model without these limitations has potential as a clinical tool to predict the outcome of injuries and/or surgical procedures. This work develops and validates an accurate computational model of the elbow joint whereby joint kinematics are dictated by three-dimensional bony geometry contact, ligamentous constraints, and muscle loading.

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Moon, Hyosang, and Nina P. Robson. "Design of Spatial Non-Anthropomorphic Articulated Systems Based on Arm Joint Constraint Kinematic Data for Human Interactive Robotics Applications." In ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/detc2015-46530.

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The design of human interactive robotic systems requires additional considerations compared to conventional robotic designs to take into account human factors. In this paper, a recently developed linkage kinematic synthesis incorporating higher order motion constraints is utilized to the synthesis of a five degree of freedom serial TS linkage for human interactive applications. The T represents a universal two degrees-of-freedom shoulder, while the S defines a spherical three degrees-of-freedom wrist joint. The desired hand kinematics and its time derivatives can be obtained by a motion capture system as well as from the hand-object/environment contact geometries at two task locations. In order to determine the design parameters (i.e., locations of the base/shoulder and moving/wrist pivots, as well as the link length connecting these joints), position, velocity and acceleration constraint equations of the TS linkage are solved in the vicinity of the initial and the final reaching locations. The entire robotic joint trajectories are formulated via minimum jerk theory to closely approximate human natural hand profile with an elbow joint constraint. In this manner, the TS linkage system can be designed to guarantee to reproduce the natural human hand kinematics with the minimum amount of information about the desired hand kinematic specifications. The applicability of the proposed technique was verified by designing a TS linkage system from a captured human data, and then comparing the generated end-effector trajectory with the human hand motion trajectory, which show promising results.

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Chen, Kai, Richard A. Foulds, Sergei Adamovich, Qinyin Qiu, and Katharine Swift. "Modeling of Relative Damping in Defining the Equilibrium Point Trajectory for the Human Arm Movement Control." In ASME 2008 International Mechanical Engineering Congress and Exposition. ASMEDC, 2008. http://dx.doi.org/10.1115/imece2008-67879.

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Existing research suggests that limb motion can be represented as an Equilibrium Point (EP) trajectory in combination with a trajectory that reflects specified damping and stiffness at each joint. This model utilizes the concept of relative damping, an integral factor in defining the Equilibrium Point trajectory, to help maintain stability during the arm movement. By using commercialized Flock of Bird® (FOB) sensor, we can obtain experimental trajectories and angular information for human elbow and shoulder joints, as well as forearm and upper arm position during reaching in slow and fast movements. We replaced the complicated inverse kinematics computation of brain with our simple relative damping model, and then calculated the EP trajectories of the elbow and shoulder to use as inputs to our following forward kinematics model. The model generated trajectories which closely match the experimental data. The novel features of this model include the EP trajectory input generated by relative damping. Therefore, we conclude that multi-joint manipulations can be modeled by an appropriate EP trajectory along with relative damping.

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Segala, David B., David Chelidze, Deanna Gates, and Jonathan Dingwell. "Dynamical Analysis of Sawing Motion Tracks Muscle Fatigue Evolution." In ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-87823.

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Both for civilian and military applications, tracking and identifying muscle fatigue—usually caused by continuous, repetitive motion over a finite period of time—is of great importance. The muscle fatigue process is very difficult to track due to its hidden nature. Invasive procedures are often needed to measure fatigue. Here, easily obtainable noninvasive kinematic measurements are used to extract muscle fatigue related trends associated with a sawing motion. The methodology is derived from dynamical systems based fatigue identification in engineered systems. Ten right-handed subjects perform sawing motion until voluntary exhaustion. Three sets of joint kinematic angles are measured from the elbow, wrist, and shoulder. Fatigue is identified in two steps: (1) phase space warping based feature vectors are estimated from kinematic time series; and (2) smooth orthogonal decomposition (SOD) is used to extract fatigue related trends from these features. SOD-based trends are compared against independently obtained fatigue markers estimated from the mean and median frequencies of electrography (EMG) signals of individual muscles. SOD-based trends from elbow and shoulder kinematics adequately capature fatigue in the triceps muscle estimated from the EMG measurements. These same kinematic angles show little fatigue information in the flexor/extensor carpi radialis (not directly engaged in sawing motion). The methodology used here shows great potential in tracking individual muscle fatigue evolution using only motion kinematics data.

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Mostafavi, Kamal, O. Remus Tutunea-Fatan, Graham J. W. King, and James A. Johnson. "Prediction of Interference Free Positions of the Humeral Implant in Preparation of Joint Replacement Procedures." In ASME 2013 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/sbc2013-14606.

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Advanced simulation techniques in computer-assisted surgery is not only the key element towards development of computer based systems for optimized implant design, but they will also allow surgeons to reliably replace the damaged joints, even when significant bone loss has occurred. Since the main objective of the surgical procedure is to accurately replicate the native articulation of the elbow, the overall success of the joint arthroplasty is decisively influenced by the preoperative planning procedure aiming to establish the presence of a feasible position of the implant that will essentially cause a minimal malalignment of the prosthetic flexion-extension (FE) axis of the joint with respect to the native one. Any malalignment between native and artificial axes will eventually alter the kinematics of the joint and will lead to implant failures.

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Reports on the topic "Kinematics of elbow joint"

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Zhao, Jianmin, and Norman I. Badler. Real Time Inverse Kinematics with Joint Limits and Spatial Constraints. Defense Technical Information Center, 1989. http://dx.doi.org/10.21236/ada220462.

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