scheme486f02
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Scheme E, Englehart K. Electromyogram pattern recognition for control of powered upper-limb prostheses: State of the art and challenges for clinical use. J Rehabil Res Dev. 2011;48(6):643- 60. Figure 2. Increase in classification accuracy as channels are added for both optimal and symmetrical channel subsets. Source: Reprinted with per-mission of IEEE from Hargrove LJ, Englehart K, Hudgins B. A comparison of surface and intramuscular myoelectric signal classification. IEEE Trans Biomed Eng. 2007;54(5):847–53.[PMID: 17518281] DOI:10.1109/TBME.2006.889192
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Scheme E, Englehart K. Electromyogram pattern recognition for control of powered upper-limb prostheses: State of the art and challenges for clinical use. J Rehabil Res Dev. 2011;48(6):643-60.DOI:10.1682/JRRD.2010.09.0177
Figure 2. Increase in classification accuracy as channels are added for both optimal and symmetrical channel subsets. Source: Reprinted with per-mission of IEEE from Hargrove LJ, Englehart K, Hudgins B. A comparison of surface and intramuscular myoelectric signal classification. IEEE Trans Biomed Eng. 2007;54(5):847–53.[PMID: 17518281] DOI:10.1109/TBME.2006.889192