| scholarly article | Q13442814 |
| P2093 | author name string | Long Yu | |
| Guanglin Li | |||
| Yaonan Li | |||
| Yanjuan Geng | |||
| P2860 | cites work | Targeted muscle reinnervation for real-time myoelectric control of multifunction artificial arms | Q30498136 |
| Techniques of EMG signal analysis: detection, processing, classification and applications. | Q30499714 | ||
| Sampling, noise-reduction and amplitude estimation issues in surface electromyography | Q34502768 | ||
| Quantifying pattern recognition-based myoelectric control of multifunctional transradial prostheses | Q34510219 | ||
| Spatial filtering improves EMG classification accuracy following targeted muscle reinnervation. | Q34521658 | ||
| An analysis of EMG electrode configuration for targeted muscle reinnervation based neural machine interface | Q35046653 | ||
| The extraction of neural strategies from the surface EMG. | Q35689197 | ||
| Targeted reinnervation for improved prosthetic function | Q36414094 | ||
| A real-time EMG pattern recognition system based on linear-nonlinear feature projection for a multifunction myoelectric hand | Q38508222 | ||
| Sampling rate effects on surface EMG timing and amplitude measures | Q39653236 | ||
| A new strategy for multifunction myoelectric control | Q44677278 | ||
| Decoding a new neural machine interface for control of artificial limbs | Q47272638 | ||
| A robust, real-time control scheme for multifunction myoelectric control | Q47776373 | ||
| A comparison of surface and intramuscular myoelectric signal classification. | Q50998861 | ||
| A Gaussian mixture model based classification scheme for myoelectric control of powered upper limb prostheses. | Q51321993 | ||
| A heuristic fuzzy logic approach to EMG pattern recognition for multifunctional prosthesis control. | Q51344987 | ||
| Continuous myoelectric control for powered prostheses using hidden Markov models. | Q51553675 | ||
| Estimation and application of EMG amplitude during dynamic contractions. | Q52046660 | ||
| Feature-based classification of myoelectric signals using artificial neural networks. | Q52177978 | ||
| P433 | issue | 6 | |
| P304 | page(s) | 1779-1787 | |
| P577 | publication date | 2011-02-04 | |
| P1433 | published in | Annals of Biomedical Engineering | Q15760783 |
| P1476 | title | Conditioning and sampling issues of EMG signals in motion recognition of multifunctional myoelectric prostheses. | |
| P478 | volume | 39 |
| Q42375789 | Comparison of six electromyography acquisition setups on hand movement classification tasks |
| Q55076255 | Feature Extraction and Selection for Myoelectric Control Based on Wearable EMG Sensors. |
| Q94464595 | Identification of Upper-Limb Movements Based on Muscle Shape Change Signals for Human-Robot Interaction |
| Q33646419 | Improving the Robustness of Real-Time Myoelectric Pattern Recognition against Arm Position Changes in Transradial Amputees. |
| Q30458903 | Toward attenuating the impact of arm positions on electromyography pattern-recognition based motion classification in transradial amputees |
| Q64055579 | Upper Arm Motion High-Density sEMG Recognition Optimization Based on Spatial and Time-Frequency Domain Features |
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