EMG signal decomposition; Motor unit firing patterns; Supervised classification
Indexed keywords
CLASSIFICATION (OF INFORMATION);
DECOMPOSITION;
PATTERN RECOGNITION;
SIGNAL PROCESSING;
ELECTROMYOGRAPHIC (EMG) SIGNAL;
FIRING PATTERNS;
MOTOR UNIT POTENTIALS (MUPS);
SIGNAL DECOMPOSITION;
SUPERVISED CLASSIFICATION;
DATA RECORDING;
ARTICLE;
CLASSIFICATION;
DECOMPOSITION;
ELECTROMYOGRAM;
ELECTROPHYSIOLOGY;
MATHEMATICAL COMPUTING;
MOTOR PERFORMANCE;
MOTOR UNIT;
MOTOR UNIT POTENTIAL;
MUSCLE CONTRACTION;
SIGNAL DETECTION;
SIMULATION;
STATISTICAL ANALYSIS;
COMPUTER SIMULATION;
ELECTROMYOGRAPHY;
FUZZY LOGIC;
HUMANS;
MODELS, BIOLOGICAL;
MOTOR NEURONS;
MUSCLE CONTRACTION;
SIGNAL PROCESSING, COMPUTER-ASSISTED;
Decomposition-based quantitative electromyography: Methods and initial normative data in five muscles
Doherty TJ, Stashuk DW (2003) Decomposition-based quantitative electromyography: Methods and initial normative data in five muscles. Muscle Nerve 28(2):204-211
Application of fuzzy clustering to biomedical signal processing and dynamic system identification
Metin A (ed) IEEE Press, New York
Geva AB (2000) Application of fuzzy clustering to biomedical signal processing and dynamic system identification. In: Metin A (ed) Nonlinear biomedical signal processing vol 1. IEEE Press, New York, 27-52
Relationship of firing intervals of human motor units to the trajectory of post-spike after-hyperpolarization and synaptic noise
Matthews PBC (1996) Relationship of firing intervals of human motor units to the trajectory of post-spike after-hyperpolarization and synaptic noise. J physiol 492(2):597-628