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Improved prosthetic control based on myoelectric pattern recognition via wavelet-based de-noising

By Kirstin Ahmed

The use of myoelectric pattern recognition (MPR) for the control of prosthetic limbs has been limited by interfering noise and susceptibility to motion artifacts. In this article, we present a novel algorithm using wavelet transforms that can be executed in real-time and improves the robustness of MPR systems. The algorithm outperformed conventional methods and showed potential for improving the feasibility and usability of prosthetic devices in real-life situations.