Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Muskuļu sinerģiju analīze× | EMG signāla apvalks× | |
|---|---|---|
| Nozare | Biomehānika | Biomehānika |
| Saime | Process / pipeline | Process / pipeline |
| Izcelsmes gads | 1999 | 1999 |
| Autors≠ | Marc Tresch | Roberto Merletti |
| Tips≠ | Dimensionality reduction and pattern extraction | Digital signal processing pipeline |
| Pirmavots≠ | 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 ↗ | 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 ↗ |
| Citi nosaukumi | Motor synergy, Synergy extraction, Motor primitives | EMG linear envelope, RMS envelope, Activation envelope |
| Saistītās | 3 | 3 |
| Kopsavilkums≠ | 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. |
| ScholarGateDatu kopa ↗ |
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