Biomechanics-Based Motion Analysis
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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Format: | Electronic Book Chapter |
Language: | English |
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Basel
MDPI - Multidisciplinary Digital Publishing Institute
2023
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Online Access: | DOAB: download the publication DOAB: description of the publication |
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100 | 1 | |a Ma, Christina Zong-Hao |4 edt | |
700 | 1 | |a Li, Zhengrong |4 edt | |
700 | 1 | |a He, Chen |4 edt | |
700 | 1 | |a Ma, Christina Zong-Hao |4 oth | |
700 | 1 | |a Li, Zhengrong |4 oth | |
700 | 1 | |a He, Chen |4 oth | |
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300 | |a 1 electronic resource (386 p.) | ||
336 | |a text |b txt |2 rdacontent | ||
337 | |a computer |b c |2 rdamedia | ||
338 | |a online resource |b cr |2 rdacarrier | ||
506 | 0 | |a Open Access |2 star |f Unrestricted online access | |
520 | |a 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. | ||
540 | |a Creative Commons |f https://creativecommons.org/licenses/by/4.0/ |2 cc |4 https://creativecommons.org/licenses/by/4.0/ | ||
546 | |a English | ||
650 | 7 | |a Medicine |2 bicssc | |
653 | |a human ankle model | ||
653 | |a product of exponentials formula | ||
653 | |a anthropometry | ||
653 | |a biomechanics | ||
653 | |a coordinate measuring machines | ||
653 | |a kinematics | ||
653 | |a pose estimation | ||
653 | |a position measurement | ||
653 | |a biomedical informatics | ||
653 | |a adolescent idiopathic scoliosis (AIS) | ||
653 | |a surface electromyography (sEMG) | ||
653 | |a paraspinal muscle | ||
653 | |a Schroth exercise | ||
653 | |a paraspinal muscle symmetry index (PMSI) | ||
653 | |a negative heel shoes | ||
653 | |a positive heel shoes | ||
653 | |a gait | ||
653 | |a pregnant women | ||
653 | |a OpenSim | ||
653 | |a IDEEA | ||
653 | |a dentistry | ||
653 | |a dental unit chair systems | ||
653 | |a muscle fatigue | ||
653 | |a muscle activation | ||
653 | |a in vivo study | ||
653 | |a femoral neck fracture | ||
653 | |a internal fixation | ||
653 | |a intramedullary fixation | ||
653 | |a finite element analysis | ||
653 | |a finite element | ||
653 | |a proximal junctional failure | ||
653 | |a spinal reconstruction | ||
653 | |a thoracolumbar | ||
653 | |a rollback | ||
653 | |a ligament strain | ||
653 | |a kinematic alignment | ||
653 | |a mechanical alignment | ||
653 | |a total knee arthroplasty | ||
653 | |a markerless motion capture system | ||
653 | |a gait analysis | ||
653 | |a joint moment | ||
653 | |a joint power | ||
653 | |a running economy | ||
653 | |a running style | ||
653 | |a duty factor | ||
653 | |a vertical oscillation | ||
653 | |a stride frequency | ||
653 | |a freezing of gait | ||
653 | |a gait initiation | ||
653 | |a Parkinson's disease | ||
653 | |a posture | ||
653 | |a segmental centers of mass | ||
653 | |a anthropometric measurement | ||
653 | |a base of support | ||
653 | |a hand exoskeleton design | ||
653 | |a motion simulation | ||
653 | |a rehabilitation | ||
653 | |a intention recognition | ||
653 | |a machine learning | ||
653 | |a deep learning | ||
653 | |a two-dimensional (2D) image | ||
653 | |a marker-free video | ||
653 | |a walking speed | ||
653 | |a walking speed classification | ||
653 | |a bi-LSTM | ||
653 | |a redundant feature | ||
653 | |a ratio-based body measurement | ||
653 | |a optimal feature | ||
653 | |a surface topography | ||
653 | |a rasterstereographic back shape analysis | ||
653 | |a normative data | ||
653 | |a healthy adults | ||
653 | |a posture analysis | ||
653 | |a spine | ||
653 | |a intelligent system | ||
653 | |a classroom behavior | ||
653 | |a motion identification | ||
653 | |a shoulder activity | ||
653 | |a sensor | ||
653 | |a rehabilitation protocol | ||
653 | |a proximal humerus fracture | ||
653 | |a ground reaction force | ||
653 | |a knee and hip | ||
653 | |a lower limb | ||
653 | |a normal walking | ||
653 | |a musculoskeletal multibody dynamics | ||
653 | |a spinal biomechanics | ||
653 | |a spinal alignment | ||
653 | |a spinal loading | ||
653 | |a muscle force computation | ||
653 | |a thoracolumbar spine | ||
653 | |a biomechanical model | ||
653 | |a electromyography | ||
653 | |a inertial measurement units | ||
653 | |a gait-phase prediction | ||
653 | |a spinal cord injury (SCI) | ||
653 | |a muscle fiber conduction velocity (MFCV) | ||
653 | |a surface electromyography (EMG) | ||
653 | |a EMG-force relation | ||
653 | |a composite index | ||
653 | |a characteristic points | ||
653 | |a multivariable linear regression | ||
653 | |a anterior cruciate ligament deficiency | ||
653 | |a competitive swimming | ||
653 | |a performance | ||
653 | |a velocity fluctuations | ||
653 | |a multibody simulation | ||
653 | |a finite element method | ||
653 | |a co-simulation | ||
653 | |a sports | ||
653 | |a degeneration | ||
653 | |a intervertebral disc | ||
653 | |a coupled | ||
653 | |a embryo implantation | ||
653 | |a human choriocarcinoma cell | ||
653 | |a extracellular matrix | ||
653 | |a stiffness | ||
653 | |a durotaxis | ||
653 | |a n/a | ||
856 | 4 | 0 | |a www.oapen.org |u https://mdpi.com/books/pdfview/book/7614 |7 0 |z DOAB: download the publication |
856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/112497 |7 0 |z DOAB: description of the publication |