Biomechanics

Biomechanics is a vast discipline within the field of Biomedical Engineering. It explores the underlying mechanics of how biological and physiological systems move. It encompasses important clinical applications to address questions related to medicine using engineering mechanics principles. Biomechanics includes interdisciplinary concepts from engineers, physicians, therapists, biologists, physicists, and mathematicians. Through their collaborative efforts, biomechanics research is ever changing and expanding, explaining new mechanisms and principles for dynamic human systems. Biomechanics is used to describe how the human body moves, walks, and breathes, in addition to how it responds to injury and rehabilitation. Advanced biomechanical modeling methods, such as inverse dynamics, finite element analysis, and musculoskeletal modeling are used to simulate and investigate human situations in regard to movement and injury. Biomechanical technologies are progressing to answer contemporary medical questions. The future of biomechanics is dependent on interdisciplinary research efforts and the education of tomorrow’s scientists

A biomechanical model for the analysis of the cervical spine in static postures

To gain a better understanding of the forces working on the cervical spine, a spatial biomechanical computer model was developed. The first part of our research was concerned with the development of a kinematic model to establish the axes of rotation and the mutual position of the head and vertebrae with regard to flexion, extension, lateroflexion and torsion. The next step was the introduction of lines of action of muscle forces and an external load, created by gravity and accelerations in different directions, working on the centre of gravity of the head and possibly a helmet. Although the results of our calculations should be interpreted cautiously in the present stage of our research, some conclusions can be drawn with respect to different head positions. During flexion muscle forces and joint reaction forces increase, except the force between the odontoid and the ligamentum transversum atlantis. This force shows a minimum during moderate flexion. The joint reaction forces on the levels C0-C1, C1-C2, and C7-T1 reach minimum values during extension, each in different stages of extension. Axial rotation less than 35° does not need great muscle forces, axial rotation further than 35° causes muscle forces and joint reaction forces to increase fast. While performing, lateral flexion muscle forces and joint reaction forces must increase rapidly to balance the head. We obtained some indications that the order of magnitude of the calculated forces is correct

Injury and Skeletal Biomechanics

This book covers many aspects of Injury and Skeletal Biomechanics. As the title represents, the aspects of force, motion, kinetics, kinematics, deformation, stress and strain are examined in a range of topics such as human muscles and skeleton, gait, injury and risk assessment under given situations. Topics range from image processing to articular cartilage biomechanical behavior, gait behavior under different scenarios, and training, to musculoskeletal and injury biomechanics modeling and risk assessment to motion preservation. This book, together with "Human Musculoskeletal Biomechanics", is available for free download to students and instructors who may find it suitable to develop new graduate level courses and undergraduate teaching in biomechanics

Biomechanical modelling of the whole human spine for dynamic analysis

Developing computational models of the human spine has been a hot topic in biornechanical research for a couple of decades in order to have an understanding of the behaviour of the whole spine and the individual spinal parts under various loading conditions. The objectives of this thesis are to develop a biofidefic multi-body model of the whole human spine especially for dynamic analysis of impact situations, such as frontal impact in a car crash, and to generate finite element (FE) models of the specific spinal parts to investigate causes of injury of the spinal components. As a proposed approach, the predictions of the multi-body model under dynamic impact loading conditions, such as reaction forces at lumbar motion segments, were utilised not only to have a better understanding of the gross kinetics and kinematics of the human spine, but also to constitute the boundary conditions for the finite element models of the selected spinal components. This novel approach provides a versatile, cost effective and powerful tool to analyse the behaviour of the spine under various loading conditions which in turn helps to develop a better understanding of injury mechanisms

Evaluation of Pose Tracking Accuracy in the First and Second Generations of Microsoft Kinect

Microsoft Kinect camera and its skeletal tracking capabilities have been embraced by many researchers and commercial developers in various applications of real-time human movement analysis. In this paper, we evaluate the accuracy of the human kinematic motion data in the first and second generation of the Kinect system, and compare the results with an optical motion capture system. We collected motion data in 12 exercises for 10 different subjects and from three different viewpoints. We report on the accuracy of the joint localization and bone length estimation of Kinect skeletons in comparison to the motion capture. We also analyze the distribution of the joint localization offsets by fitting a mixture of Gaussian and uniform distribution models to determine the outliers in the Kinect motion data. Our analysis shows that overall Kinect 2 has more robust and more accurate tracking of human pose as compared to Kinect 1.Comment: 10 pages, IEEE International Conference on Healthcare Informatics 2015 (ICHI 2015

Head-Trunk Coordination and Coordination Variability During Anticipated and Unanticipated Sidestepping

INTRODUCTION: Sensory systems within the head provide us with rich perceptual information and may require complex control of the head during locomotion when changing direction. Head position in space is maintained by head on trunk motion as well as lower extremity kinematic modifications, such as increased knee flexion and increased stance time in order to facilitate shock attenuation and reduce vertical CoM displacement. It has been established that the body organizes its degrees of freedom of the trunk, pelvis and lower extremities differently during anticipated and unanticipated sidestepping, which raises the question of how these modifications affect head control during change of direction tasks. METHODS: Fourteen collegiate soccer players performed 7 anticipated and 7 unanticipated sidestepping tasks. Kinematic data were recorded using an 11-camera motion capture system (Qualysis, Inc., Gothenburg, Sweden) sampling at 240 Hz. Head and trunk orientation was quantified at penultimate toe off. A modified vector coding analysis was used to quantify the coordination and coordination variability between the head and trunk during the anticipated and unanticipated side-stepping trials. Differences in head-trunk orientation and coordination pattern frequencies were assessed with a paired t-test with an . One-dimensional statistical parametric mapping (SPM1D) was used to compare coordination variability waveforms. RESULTS: The head (p \u3c 0.01, ES = 0.82) and trunk (p \u3c 0.05, ES = 0.59) were significantly more oriented toward the new travel direction during anticipated compared to unanticipated sidestepping. No significant differences in transverse or sagittal plane coordination were observed throughout the change of direction stride. However, during unanticipated sidestepping we observed significantly reduced in-phase head-trunk coordination during the preparatory phase in the sagittal (p = 0.04, ES = 0.63) and transverse (p = 0.02, ES = 0.73) planes but did not find differences in the stance or post-transition phases. Coordination variability did not differ between anticipated and unanticipated conditions. Irrespective of planning time, greater transverse plane coordination variability was observed during the flight phases compared to the stance phase (p \u3c 0.01) of the change of direction stride. Sagittal plane coordination variability was significantly greater during the preparatory phase than the stance phase (p \u3c 0.01), and stance phase coordination variability was significantly greater than post-transition phase variability (p \u3c 0.01). SIGNIFICANCE: Our results suggest differences in coordination between the head and trunk between anticipated and unanticipated sidestepping emerge during the preparatory phase of the change of direction stride, from penultimate step toe off to transition step heel strike. Anticipated and unanticipated sidestepping are different tasks, but individuals are consistent in the way the head-trunk coupling is controlled. Relating variability to task goals may allow for a better understanding of the beneficial aspects of variability observed at the head

A 3D Spine and Full Skeleton Model for Opto-Electronic Stereo- Photogrammetric Multi-Sensor Biomechanical Analysis in Posture and Gait

Quantitative functional evaluation of spine is highly desirable in posture and movement analysis. Given the complexity of the spine biomechanical system, very few studies outline the behaviour of the spine in posture and movement analysis. During a research lasting 25 years, a complete three‐dimensional (3D) parametric biomechanical skeleton model including a 3D full spine model based on the measurements of the positions of suitable body landmarks labelled by passive markers has been implemented. Around this model, a fully dedicated 3D opto‐electronic stereo‐photogrammetric system named Global Opto‐electronic Approach for Locomotion and Spine (GOALS) has been developed. Depending on different analysis purposes, the model can work at different stages of complexity. The model can integrate seamlessly data deriving from multiple measurement devices, such as 3D stereo‐photogrammetric systems, force platforms, surface electro‐myography and foot pressure maps. In addition to single‐trial analysis, the possibility to assess and to extract mean behaviours either for posture or for cyclical tasks (e.g. multiple strides in gait) has been included. The aim of this paper is to describe the current level of development of the GOALS system and its versatility as a clinical tool. To this purpose, examples of multi‐factorial quantitative functional descriptions of paradigmatic cases are presented

Motion study of the hip joint in extreme postures

Many causes can be at the origin of hip osteoarthritis (e.g., cam/pincer impingements), but the exact pathogenesis for idiopathic osteoarthritis has not yet been clearly delineated. The aim of the present work is to analyze the consequences of repetitive extreme hip motion on the labrum cartilage. Our hypothesis is that extreme movements can induce excessive labral deformations and lead to early arthritis. To verify this hypothesis, an optical motion capture system is used to estimate the kinematics of patient-specific hip joint, while soft tissue artifacts are reduced with an effective correction method. Subsequently, a physical simulation system is used during motion to compute accurate labral deformations and to assess the global pressure of the labrum, as well as any local pressure excess that may be physiologically damageable. Results show that peak contact pressures occur at extreme hip flexion/abduction and that the pressure distribution corresponds with radiologically observed damage zones in the labru