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| Предна кинематика× | Силова реакция в ставата× | Анализ на мускулни синергии× | |
|---|---|---|---|
| Област | Биомеханика | Биомеханика | Биомеханика |
| Семейство | Process / pipeline | Process / pipeline | Process / pipeline |
| Година на възникване≠ | 1986 | 2001 | 1999 |
| Създател≠ | John Craig | Georg Bergmann | Marc Tresch |
| Тип≠ | Computational geometric pipeline | Force analysis and joint loading | Dimensionality reduction and pattern extraction |
| Основополагащ източник≠ | Craig, J. J. (2005). Introduction to Robotics: Mechanics and Control (3rd ed.). Pearson. link ↗ | Bergmann, G., Deuretzbacher, G., Heller, M., Graichen, F., Rohlmann, A., Strauss, J., & Duda, G. N. (2001). Hip forces and gait patterns from routine activities. Journal of Biomechanics, 34(7), 859-871. DOI ↗ | Tresch, M. C., Saltiel, P., Bizzi, E., & Bizzi, E. (1999). The construction of movement by the spinal cord. Nature Neuroscience, 2(2), 162-167. DOI ↗ |
| Други названия | FK, Kinematic chain, Anatomical chain | Joint contact force, Tibiofemoral force, Joint loading | Motor synergy, Synergy extraction, Motor primitives |
| Свързани | 3 | 3 | 3 |
| Резюме≠ | Forward kinematics is the calculation of the position and orientation of a distal body segment (such as the hand) based on the joint angles of proximal segments. Originally formalized in robotics by John Craig and adapted to biomechanics, it allows practitioners to predict endpoint location from known joint configuration. | Joint reaction force (JRF) estimation calculates the contact forces transmitted across joints during movement using inverse dynamics combined with anatomical modeling. First validated in vivo by Bergmann and colleagues using instrumented hip implants, JRF estimation is essential for understanding joint degeneration, designing orthopedic implants, and assessing injury risk. | Muscle synergy analysis decomposes complex motor behavior into a small set of coactivated muscle groups (synergies or motor primitives). Pioneered by Marc Tresch and colleagues studying frog motor control, this approach reveals how the nervous system simplifies the control of many muscles by organizing them into task-relevant combinations. |
| ScholarGateНабор от данни ↗ |
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