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