Comparar métodos

	Envelope de Eletromiografia (EMG)	Dinâmica Inversa	Análise de Sinergia Muscular
Área	Biomecânica	Biomecânica	Biomecânica
Família	Process / pipeline	Process / pipeline	Process / pipeline
Ano de origem	1999	1990	1999
Autor original	Roberto Merletti	David Winter	Marc Tresch
Tipo	Digital signal processing pipeline	Computational analysis pipeline	Dimensionality reduction and pattern extraction
Fonte seminal	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.	Tresch, M. C., Saltiel, P., Bizzi, E., & Bizzi, E. (1999). The construction of movement by the spinal cord. Nature Neuroscience, 2(2), 162-167.
Outros nomes	EMG linear envelope, RMS envelope, Activation envelope	Inverse problem, Biomechanical inverse dynamics	Motor synergy, Synergy extraction, Motor primitives
Relacionados	3	3	3
Resumo	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.	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.