مقایسهٔ روش‌ها

	تحلیل هم‌افزایی عضلانی	پوش امپدانس الکترومیوگرافی (EMG)	دینامیک معکوس
حوزه	بیومکانیک	بیومکانیک	بیومکانیک
خانواده	Process / pipeline	Process / pipeline	Process / pipeline
سال پیدایش	1999	1999	1990
پدیدآور	Marc Tresch	Roberto Merletti	David Winter
نوع	Dimensionality reduction and pattern extraction	Digital signal processing pipeline	Computational analysis pipeline
منبع بنیادین	Tresch, M. C., Saltiel, P., Bizzi, E., & Bizzi, E. (1999). The construction of movement by the spinal cord. Nature Neuroscience, 2(2), 162-167.	Phinyomark, A., Quaine, F., Charbonnier, S., & Serviere, C. (2012). Robust EMG feature extraction in the whitespace. IEEE Transactions on Biomedical Engineering, 59(5), 1505-1517.	Winter, D. A. (1990). Biomechanics and Motor Control of Human Movement. Wiley-Interscience.
نام‌های دیگر	Motor synergy, Synergy extraction, Motor primitives	EMG linear envelope, RMS envelope, Activation envelope	Inverse problem, Biomechanical inverse dynamics
مرتبط	3	3	3
خلاصه	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.	Electromyography (EMG) envelope analysis extracts the amplitude modulation of muscle electrical activity to quantify muscle activation over time. By filtering and demodulating the raw EMG signal, practitioners obtain a smoothed activation profile that reflects when and how intensely a muscle is contracting during movement or fatigue.	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.