An Autocorrelative Approach for EMG Time-Frequency Analysis
As they are the smallest functional parts of the muscle, motor units (MUs) are considered as the basic building blocks of the neuromuscular system. Monitoring MU recruitment, de-recruitment, and firing rate (by either invasive or surface techniques) leads to the understanding of motor control strat...
Enregistré dans:
Auteurs principaux: | Mohannad K. Sabir, Noor K. Muhsin |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Al-Khwarizmi College of Engineering – University of Baghdad
2017
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/17df7edaffd649c593d2b2a4bdc19053 |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
An Autocorrelative Approach for EMG Time-Frequency Analysis
par: Mohannad K. Sabir, et autres
Publié: (2013) -
Noise Removal of ECG Signal Using Recursive LeastSquare Algorithms
par: Noor K. Muhsin
Publié: (2011) -
Multidimensional Systolic Arrays of LMS AlgorithmAdaptive (FIR) Digital Filters
par: Bakir A. R. Al-Hashemy, et autres
Publié: (2009) -
1-D Systolic Arrays Design of LMS Adaptive (FIR) Digital Filtering
par: Ali H. Mahdi, et autres
Publié: (2010) -
Simulation Recording of an ECG, PCG, and PPG for Feature Extractions
par: Noor Kamal Al-Qazzaz, et autres
Publié: (2017)