Measurement of the Three-dimensional Kinematics of the Human Lumbar and Cervical Spine Using the 3SPACE Isotrak System PDF Download
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Author: Patricia Anne Hartley Russell
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Author: Patricia Anne Hartley Russell
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Author: Andrew Kerr
Publisher: Elsevier Health Sciences
ISBN: 0702065005
Category : Medical
Languages : en
Pages : 370
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Now in its seventh edition, this reputable textbook is an ideal introduction to the study of human movement and an excellent reference encouraging and directing further study. For the first time there is a chapter dedicated to measuring and understanding physical activity, recognising the importance of this area to many health and sports professionals. More time is spent explaining the basic principles of biomechanics and the way they can be used to improve practice, including tissue mechanics and movement analysis techniques. An Introduction to Human Movement and Biomechanics is the perfect guide for students and professionals all around the world to consolidate learning and apply to real clinical/sports situation. Information is given in a clear and accessible way, with case studies, illustrations, textboxes and practical examples. • A chapter on physical (in)activity. • More chapters explaining basic biomechanics and its application to understanding human movement. • A new section dedicated to measuring human movement including movement analysis techniques. • A whole chapter of case studies with real patient and athlete data • Scientific theory related to re-learning movement and movement control. • Problems posed to help students work through the theory and apply it to clinical scenarios • Written by well-known and multi-disciplinary researchers with extensive experience in the field It includes access to the Evolve online resources: • Log on to evolve.elsevier.com/Kerr/movement/ and test out your learning • Case studies, including videoclips and animations • Hundreds of self-assessment questions
Author: Wantuir Carlos Ramos Junior
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Low back pain (LBP) is a common and costly musculoskeletal disorder. Clinicians and researchers frequently assess dysfunction in LBP by observing patient's movement quality during pre-determined tasks using technically challenging and expensive motion capture devices. However, the cost and expertise needed to use these devices are direct barriers to their widespread adoption in clinical settings where direct benefits could be realized by LBP patients. RGB-D cameras are a potential inexpensive and less time-intensive motion capture alternative, which have been validated for analyses of gait, postural control, ergonomics, and human anatomy. However, as manufactured, RGB-D cameras are not ready for specific kinematic analyses, such as lumbar spine motion, as the native artificial intelligence (AI) models do not adequately detect the number and location of trunk joints to accurately track three-dimensional kinematics. In this thesis a proof of concept framework to adapt RGB-D cameras to accurately measure lumbar spine kinematics is presented, which is separated into two research studies: 1) validation of an RGB-D depth-based algorithm against an optoelectronic motion capture system of reference for measuring spine motion, and 2) the development of a markerless method of measuring lumbar spine kinematics. In study one, 12 healthy young adults (6M, 6F) performed 35 cycles of repetitive flexion-extension with infrared reflective marker clusters placed over their T10-T12 spinous processes and sacrum, while motion capture data were recorded simultaneously by one RGB-D camera and a 10-camera optoelectronic motion capture system. Lumbar spine joint angle range of motion (ROM) were extracted and compared between systems. Root mean squared error (RMSE) values were very low across all movement axes (RMSE ≤ 2.05° ± 0.97°), and intraclass correlations (ICCs) were considered excellent across all axes (ICC2,1 ≥ 0.849), while Bland-Altman plots revealed that, on average, the RGB-D camera slightly underestimated flexion-extension angles (≈ -1.88o) and slightly overestimated lateral bending and axial twisting angles (≈ 0.58o). In study two, a single RGB-D camera was used to capture infrared, depth, and colour image data of 15 participants performing two batteries of 10 cycles of repetitive trunk flexion-extension under two conditions: marked (i.e. hand drawn markers on key anatomical locations on the back) and unmarked. The collected data were used to create a custom four module convolutional neural network (CNN; SpineNet) to segment the human back into upper back, lower back, and spine regions and to subsequently extract lumbar spine kinematics. SpineNet was trained and tested on ten marked participants in a train:test ratio of 80:20. Images of five additional participants without markers were used to evaluate SpineNet's generalizability. Quantitative image segmentation analysis on marked data had good similarity and accuracy between their prediction and ground truth across all individual modules (mPAFG ≥ 0.8855; mJBKG ≥ 0.8391; mJFG ≥ 0.7884; fwJBKG ≥ 0.9672; fwJFG ≥ 0.8087) when the background class was ignored. Qualitative image segmentation analysis on unmarked data showed that Colourized and Surface Normal modules presented a more uniform and robust class morphology throughout frames than infrared (IR) and Fusion modules. All modules extracted kinematics similarly and were compared with their ground truth labels, showing low error levels across all movement axes (RMSE ≤ 3.66o), and good agreement on the flexion-extension and axial twist axes (ICC2,1 > 0.907; CI 95% [0.640, 0.990]); however kinematic extraction in the lateral bend axis was poor (-0.212
Author: Paul Allard
Publisher: Champaign, IL : Human Kinetics
ISBN:
Category : Education
Languages : en
Pages : 392
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Researchers, graduate students, and practitioners alike will benefit from this state-of-the-art reference. It's the first book to explain in a single volume the essential components of three-dimensional analysis of human movement. Readers will gain a fundamental understanding of methods and technology used to capture, reconstruct, and process 3-D data; concepts and techniques of mechanical and neuromuscular modeling, including robotics; and the application of 3-D analysis. The editors have brought together contributions from international experts to create a technical manual that demonstrates the possibilities and potential pitfalls of 3-D analysis of human movement. More than 140 tables, diagrams, and photos throughout the book illustrate essential content.
Author: Tsang Yeou Chen
Publisher:
ISBN:
Category : Kinematics
Languages : en
Pages : 148
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Author: Bryan Preston Conrad
Publisher:
ISBN:
Category :
Languages : en
Pages :
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ABSTRACT: Motion is an important function of the human spine and accurate measurement of that motion is critical to assessing spinal health and the effect of treatments. There is a great need for tools that allow accurate 3D intervertebral spine motion to be measured in vivo. The purpose of this study is to develop a method for registering a 2D radiograph with a 3D CT scan for the purpose of measuring 3D motion in the spine. This goal was achieved in three phases. The first phase of this project evaluated the accuracy of a fluoroscopic object recognition technique to measure the 3D position and orientation of a cervical disc arthroplasty implant. Although the experimental uncertainties of the proposed technique have been extensively analyzed with respect to the measurement of knee implant motions, the size, geometry, and type of motion of spine implants requires that these uncertainties be determined specifically for spine components. These uncertainties were determined using a cadaver model. The second phase of this project developed and evaluated the static accuracy and capture range of a novel 2D/3D image registration methodology using existing gold standard data. Digitally reconstructed radiographs were used in the registration algorithm to take advantage of the internal contours and density variation of the bony anatomy. In the third phase of this project, the uncertainties of measuring dynamic 3D kinematics of cervical vertebrae were determined. The tools developed in this project will allow clinicians and researchers to accurately quantify the performance of the normal spine as well as new implants designed to restore motion to the spine. This methodology also has applications for other joints, such as the shoulder, ankle, knee and hip.
Author: Cheng Cao
Publisher:
ISBN:
Category : Human mechanics
Languages : en
Pages : 222
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Author: British Library. Document Supply Centre
Publisher:
ISBN:
Category : Dissertations, Academic
Languages : en
Pages : 668
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Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 688
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Author: Martin H. Krag
Publisher:
ISBN:
Category : Lumbar vertebrae
Languages : en
Pages : 180
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