PROLIFIC: A Fast and Robust Profile-Likelihood-Based Muscle Onset Detection in Electromyogram Using Discrete Fibonacci Search

PROLIFIC: A Fast and Robust Profile-Likelihood-Based Muscle Onset Detection in Electromyogram Using Discrete Fibonacci Search

A stochastic scheme, namely, PLM-Lap, has recently been propounded, which relies on the profile likelihood (PL) constructed with a Laplace distribution for estimating muscle activation onsets (MAOs) in surface electromyographic (sEMG) data. The MAO detection accuracy and robustness of the PLM-Lap ha...

Full description

Bibliographic Details
Main Authors: Easter S. Suviseshamuthu, Didier Allexandre, Umberto Amato, Biancamaria Della Vecchia, Guang H. Yu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Anderson-Darling test
discrete Fibonacci search
Kolmogorov-Smirnov test
Lilliefors test
muscle activation onset
profile likelihood
Online Access:https://ieeexplore.ieee.org/document/9110609/

Internet

https://ieeexplore.ieee.org/document/9110609/

Similar Items