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| EMG-Hüllkurve× | Inverse Dynamik× | |
|---|---|---|
| Fachgebiet | Biomechanik | Biomechanik |
| Familie | Process / pipeline | Process / pipeline |
| Entstehungsjahr≠ | 1999 | 1990 |
| Urheber≠ | Roberto Merletti | David Winter |
| Typ≠ | Digital signal processing pipeline | Computational analysis pipeline |
| Wegweisende Quelle≠ | 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. link ↗ | Winter, D. A. (1990). Biomechanics and Motor Control of Human Movement. Wiley-Interscience. link ↗ |
| Aliasnamen≠ | EMG linear envelope, RMS envelope, Activation envelope | Inverse problem, Biomechanical inverse dynamics |
| Verwandt | 3 | 3 |
| Zusammenfassung≠ | 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. |
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