Approximate discrete dynamics of EMG signal

DOI10.1016/j.amc.2014.06.059zbMath1335.92055arXiv1409.8270OpenAlexW2165416099MaRDI QIDQ280056

Sanjay Kumar Palit, Dilip Kumar Bhattacharya, Sayan Mukherjee

Publication date: 29 April 2016

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1409.8270

zbMATH Keywords

Lyapunov exponentPoincaré sectionattractor reconstruction2D Poincaré mapEMG signal

Mathematics Subject Classification ID

Biomedical imaging and signal processing (92C55) Dynamical systems in biology (37N25)

Related Items

An investigation on Michaelis-Menten kinetics based complex dynamics of tumor-immune interaction ⋮ Computing two dimensional Poincaré maps for hyperchaotic dynamics

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Is one dimensional Poincaré map sufficient to describe the chaotic dynamics of a three dimensional system?
• Testing for nonlinearity in time series: the method of surrogate data
• On the numerical computation of Poincaré maps
• Determining Lyapunov exponents from a time series
• An accelerated Poincaré-map method for autonomous oscillators
• A practical method for calculating largest Lyapunov exponents from small data sets
• Independent coordinates for strange attractors from mutual information
• Some considerations on Poincaré maps for chaotic flows
• Nonlinear Time Series Analysis