Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Kopējais telpiskais paraugs× | EMG signāla apvalks× | |
|---|---|---|
| Nozare | Biomehānika | Biomehānika |
| Saime | Process / pipeline | Process / pipeline |
| Izcelsmes gads≠ | 2000 | 1999 |
| Autors≠ | Herbert Ramoser | Roberto Merletti |
| Tips≠ | Spatial filtering and feature extraction | Digital signal processing pipeline |
| Pirmavots≠ | Ramoser, H., Mueller-Gerking, J., & Pfurtscheller, G. (2000). Optimal spatial filtering of single trial EEG during imagined hand movement. IEEE Transactions on Rehabilitation Engineering, 8(4), 441-446. 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 | CSP, Spatial filtering, CSP decomposition | EMG linear envelope, RMS envelope, Activation envelope |
| Saistītās | 3 | 3 |
| Kopsavilkums≠ | Common Spatial Pattern (CSP) is a spatial filtering technique that identifies electrode combinations that maximize the variance difference between two classes of EEG activity, typically used in brain-computer interfaces to enhance motor imagery discrimination. Introduced by Ramoser and colleagues in 2000, CSP has become a standard feature extraction method in BCI research. | 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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