Multiclass Detection and Tracking of Transient Motor Activation based on Decomposed Myoelectric Signals

Published: Mar 1, 2019
Abstract
Performance and efficacy of neuroprosthetic devices depend critically on the ability to detect the users motor intent with high temporal resolution. Delayed and incorrect responses significantly reduce usability, controllability and intuitiveness of prosthetic systems. Substantial efforts have been conducted to detect the steady-state phase of motor intention. However, detection, classification, and tracking of transient phases for one complete...
Paper Details
Title
Multiclass Detection and Tracking of Transient Motor Activation based on Decomposed Myoelectric Signals
Published Date
Mar 1, 2019
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