Biomechanics-Based Motion Analysis

doi:10.3390/books978-3-0365-8026-5

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Hardback

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Keywords

human ankle model; product of exponentials formula; anthropometry; biomechanics; coordinate measuring machines; kinematics; pose estimation; position measurement; biomedical informatics; adolescent idiopathic scoliosis (AIS); surface electromyography (sEMG); paraspinal muscle; Schroth exercise; paraspinal muscle symmetry index (PMSI); negative heel shoes; positive heel shoes; gait; pregnant women; OpenSim; IDEEA; dentistry; dental unit chair systems; muscle fatigue; muscle activation; in vivo study; femoral neck fracture; internal fixation; intramedullary fixation; finite element analysis; finite element; proximal junctional failure; spinal reconstruction; thoracolumbar; rollback; ligament strain; kinematic alignment; mechanical alignment; total knee arthroplasty; markerless motion capture system; gait analysis; joint moment; joint power; running economy; running style; duty factor; vertical oscillation; stride frequency; freezing of gait; gait initiation; Parkinson’s disease; posture; segmental centers of mass; anthropometric measurement; base of support; hand exoskeleton design; motion simulation; rehabilitation; intention recognition; machine learning; deep learning; two-dimensional (2D) image; marker-free video; walking speed; walking speed classification; bi-LSTM; deep learning; redundant feature; ratio-based body measurement; optimal feature; surface topography; rasterstereographic back shape analysis; normative data; healthy adults; posture analysis; spine; intelligent system; deep learning; classroom behavior; motion identification; shoulder activity; sensor; rehabilitation protocol; proximal humerus fracture; ground reaction force; knee and hip; lower limb; normal walking; musculoskeletal multibody dynamics; spinal biomechanics; spinal alignment; spinal loading; muscle force computation; thoracolumbar spine; biomechanical model; electromyography; inertial measurement units; gait-phase prediction; machine learning; Parkinson’s disease; spinal cord injury (SCI); muscle fiber conduction velocity (MFCV); surface electromyography (EMG); EMG–force relation; composite index; characteristic points; multivariable linear regression; anterior cruciate ligament deficiency; biomechanics; competitive swimming; performance; velocity fluctuations; multibody simulation; finite element method; co-simulation; spine; spinal loading; sports; biomechanics; degeneration; intervertebral disc; coupled; embryo implantation; human choriocarcinoma cell; extracellular matrix; stiffness; durotaxis; n/a

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Biomechanics-Based Motion Analysis

Edited by

July 2023

386 pages

ISBN978-3-0365-8027-2 (Hardback)
ISBN978-3-0365-8026-5 (PDF)

https://doi.org/10.3390/books978-3-0365-8026-5

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This is a Reprint of the Special Issue Biomechanics-Based Motion Analysis that was published in

Biology & Life Sciences

Engineering

Summary

Collectively, the studies presented in this reprint have used various validated biomechanical models or proposed novel methods of motion analysis to gain new insights into health-related problems and sports performance.

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