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	Analiza synergii mięśniowych	Analiza chodu z użyciem Dynamic Time Warping (DTW)	Dynamika odwrotna
Dziedzina	Biomechanika	Biomechanika	Biomechanika
Rodzina	Process / pipeline	Process / pipeline	Process / pipeline
Rok powstania	1999	1978	1990
Twórca	Marc Tresch	Sakoe and Chiba	David Winter
Typ	Dimensionality reduction and pattern extraction	Sequence alignment and pattern matching	Computational analysis pipeline
Źródło pierwotne	Tresch, M. C., Saltiel, P., Bizzi, E., & Bizzi, E. (1999). The construction of movement by the spinal cord. Nature Neuroscience, 2(2), 162-167.	Sakoe, H., & Chiba, S. (1978). Dynamic programming algorithm optimization for spoken word recognition. IEEE Transactions on Acoustics, Speech, and Signal Processing, 26(1), 43-49.	Winter, D. A. (1990). Biomechanics and Motor Control of Human Movement. Wiley-Interscience.
Inne nazwy	Motor synergy, Synergy extraction, Motor primitives	DTW, Gait pattern matching, Temporal gait comparison	Inverse problem, Biomechanical inverse dynamics
Pokrewne	3	3	3
Podsumowanie	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.	Dynamic Time Warping (DTW) is a sequence alignment algorithm that measures similarity between time series of different lengths by allowing flexible temporal matching. Applied to gait analysis, DTW enables comparison of walking patterns across subjects and conditions despite variations in cadence or stride length.	Inverse dynamics is a biomechanical analysis technique that estimates the forces and moments acting on joints during movement by working backward from observed motion and ground reaction forces. Introduced by David Winter in the early 1990s, it is fundamental to understanding how muscles and joints generate and control human motion.