Human movement analysis using stereophotogrammetry. Part 4: assessment of anatomical landmark misplacement and its effects on joint kinematics.
By U. Della Croce, Alberto Leardini, L. Chiari, A. Cappozzo. Gait & Posture, 2005
592 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Endocrinology, Diabetes and Metabolism, Physical Therapy, Sports Therapy and Rehabilitation
View Paper: https://www.semanticscholar.org/paper/20742143059b7cb9e74a79eb62bafcadb68e7844
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biomedical Engineering
- Ajay Seth
- Jennifer L. Hicks
- Apoorva Rajagopal
- Thomas K. Uchida
- Scott L. Delp
- John R. Hutchinson
- Peter J. Bishop
- Andrew R. Cuff
In Endocrinology, Diabetes and Metabolism
In Physical Therapy, Sports Therapy and Rehabilitation
- Alberto Leardini
- Scott L. Delp
- Thomas K. Uchida
- Ajay Seth
- Maryam Khademi
- Hossein Mousavi Hondori
- H. Kazerooni
Citations in the corpus
- Is my model good enough? Best practices for verification and validation of musculoskeletal models and simulations of movement. (2015, methodology): “Identifying joint axes based on anatomical landmarks can be problematic, since there is significant variability in marker placement between and within examiners [40].”
- A six degrees-of-freedom marker set for gait analysis: repeatability and comparison with a modified Helen Hayes set. (2009, background): “This was developed for low resolution imaging systems so had to have few markers, as far apart as possible [2].”
- Concurrent assessment of gait kinematics using marker-based and markerless motion capture (2020, background): “This has been noted as one of the greatest sources of error in motion analysis, being greater than instrument error and similar to skin movement artefact (Della Croce et al., 2005).”
- Human movement analysis using stereophotogrammetry. Part 3. Soft tissue artifact assessment and compensation. (2005, background): “Two different sources of error originate at the interface between the stereophotogrammetric system and the bony segment under analysis: anatomical landmark (AL) misplacement [5] and soft tissue artifact (STA).”
- A new anatomically based protocol for gait analysis in children. (2007, background): “These are known to be affected [22,24] by cross-talk, particularly Abd/Add and Int/ Ext.”
- Biomechanical Validation of Upper-Body and Lower-Body Joint Movements of Kinect Motion Capture Data for Rehabilitation Treatments (2012, background): “Several recent review articles have summarized the common shortfalls of skin based marker techniques [7] [8] [9].”
- Quantitative comparison of five current protocols in gait analysis. (2008, background): “The precision and accuracy of gait analysis experiments are certainly influenced by the instrumentation used [18] but particularly by the interposition of soft tissues between markers and bones, which have unpredictable effects [19,20].”