Found: 11
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Ranking of osteogenic potential of physical exercises in postmenopausal women based on femoral neck strains.
- Published in:
- PLoS ONE, 2018, v. 13, n. 4, p. 1, doi. 10.1371/journal.pone.0195463
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- Article
Loading of Hip Measured by Hip Contact Forces at Different Speeds of Walking and Running.
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- Journal of Bone & Mineral Research, 2015, v. 30, n. 8, p. 1431, doi. 10.1002/jbmr.2483
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- Article
Real-Time Musculoskeletal Kinematics and Dynamics Analysis Using Marker- and IMU-Based Solutions in Rehabilitation.
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- Sensors (14248220), 2021, v. 21, n. 5, p. 1804, doi. 10.3390/s21051804
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- Article
Real-Time Prediction of Joint Forces by Motion Capture and Machine Learning.
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- Sensors (14248220), 2020, v. 20, n. 23, p. 6933, doi. 10.3390/s20236933
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- Article
Innovative Visualization Approach for Biomechanical Time Series in Stroke Diagnosis Using Explainable Machine Learning Methods: A Proof-of-Concept Study.
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- Information (2078-2489), 2023, v. 14, n. 10, p. 559, doi. 10.3390/info14100559
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- Article
Evaluating the Repeatability of Musculoskeletal Modelling Force Outcomes in Gait among Chronic Stroke Survivors: Implications for Contemporary Clinical Practice.
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- Biomechanics (2673-7078), 2024, v. 4, n. 2, p. 333, doi. 10.3390/biomechanics4020023
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- Article
Clinical Validation of Estimated Muscle Activations during Phases of Elderly Gait.
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- Biomechanics (2673-7078), 2023, v. 3, n. 4, p. 552, doi. 10.3390/biomechanics3040044
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- Article
Age-Related Differences in Muscle Synergy Organization during Step Ascent at Different Heights and Directions.
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- Applied Sciences (2076-3417), 2020, v. 10, n. 6, p. 1987, doi. 10.3390/app10061987
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- Article
Machine Learning Techniques for the Prediction of Functional Outcomes in the Rehabilitation of Post-Stroke Patients: A Scoping Review.
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- BioMed, 2023, v. 3, n. 1, p. 1, doi. 10.3390/biomed3010001
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- Article
Understanding Post-Stroke Movement by Means of Motion Capture and Musculoskeletal Modeling: A Scoping Review of Methods and Practices.
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- BioMed, 2022, v. 2, n. 4, p. 409, doi. 10.3390/biomed2040032
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- Publication type:
- Article
An Explainable Machine Learning Pipeline for Stroke Prediction on Imbalanced Data.
- Published in:
- Diagnostics (2075-4418), 2022, v. 12, n. 10, p. 2392, doi. 10.3390/diagnostics12102392
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- Article