Skip to main content
Article thumbnail
Location of Repository

Mathematical Techniques for Neuromuscular Analysis

By JF Williams, Geertje Hek, Alistair Vardy, Vivi Rottschäfer, Jan Bouwe van den Berg and Joost Hulshof


In the central nervous system, alpha-motor neurons play a key role in the chain that results in muscles producing force. A new non-invasive technique to measure the electrical activity involved with force production called High Density Surface Electromyography (HDsEMG) has been proven to be effective in providing novel clinical information on the way alpha-motor neurons control the muscles. This is important for the monitoring of the progression of certain neuromuscular disorders such as polio. The result of HDsEMG is, however, very difficult to interpret. In this paper we augment the usefulness of HDsEMG with automated mathematical techniques to aid the Motor Unit Number Estimation (MUNE) problem. Also, we create a stochastic model for the firing behavior of an alpha-motor neuron

Topics: Medical and pharmaceutical
Year: 2005
OAI identifier:

Suggested articles


  1. (2002). A high-density multichannel surface electromyography system for the characterisation of single motor units, doi
  2. (2002). Automatic choice of dimensionality for PCA, Neural Information Processing Systems,
  3. (1998). Markov Chains. Cambridge series doi
  4. (1996). Matrix Computations, 3rd edition. doi
  5. (2003). Multichannel surface EMG: Basic aspects and clinical utility, doi
  6. Neuroscience, exploring the brain, 2nd edition, doi
  7. (2003). Rectification and non-linear preprocessing of EMG signals for cortico-muscular analysis, doi
  8. (1957). Relation between size of neurons and their susceptibility do discharge, doi
  9. (1996). Relationship of firing intervals of human motor units to the trajectory of post-spike after-hyperpolarization and synaptic noise,
  10. (2000). Techniques for Neuromuscular Analysis 127

To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.