English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Accuracy and stability of the myoelectric prosthetic arm digital proportional control strongly depends on shape of the rectified motor unit action potential (MUAP) envelope. To mitigate effects caused by the envelope-induced torque ripples, mechanical vibrations (TRMV), and electromechanical delays (EMD), in this article we develop in discrete-time state-space the unbiased finite impulse response (UFIR) filter, Kalman filter (KF), and game theory recursive H&#x221E; filter. The filters developed are called the cUFIR filter, cKF, and cH&#x221E; filter and applied to extract a smooth near Gaussian MUAP envelope by viewing ripples as colored measurement noise (CMN). Additional UFIR and Rauch-Tung-Striebel (RTS) smoothers are also used to improve the performance when the EMD is acceptable. Based on experimental examples of prosthetic arm control, it is shown that the advanced cUFIR filter, cKF, and cH&#x221E; filter improve the performance of the original filters by the factor of about 10 and essentially reduce the TRMV and EMD.

Improving Myoelectric Prosthetic Arm Proportional Control Under MUAP Envelope Colored Noise