Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| DTW-анализ походки× | Огибающая ЭМГ× | |
|---|---|---|
| Область | Биомеханика | Биомеханика |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 1978 | 1999 |
| Автор метода≠ | Sakoe and Chiba | Roberto Merletti |
| Тип≠ | Sequence alignment and pattern matching | Digital signal processing pipeline |
| Основополагающий источник≠ | Sakoe, H., & Chiba, S. (1978). Dynamic programming algorithm optimization for spoken word recognition. IEEE Transactions on Acoustics, Speech, and Signal Processing, 26(1), 43-49. 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 ↗ |
| Другие названия | DTW, Gait pattern matching, Temporal gait comparison | EMG linear envelope, RMS envelope, Activation envelope |
| Связанные | 3 | 3 |
| Сводка≠ | Dynamic Time Warping (DTW) is a sequence alignment algorithm that measures similarity between time series of different lengths by allowing flexible temporal matching. Applied to gait analysis, DTW enables comparison of walking patterns across subjects and conditions despite variations in cadence or stride length. | 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. |
| ScholarGateНабор данных ↗ |
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