Simulation of intrafascicular and extraneural nerve stimulation

A model of nerve stimulation for control of muscle contraction and ensuing isometrical muscle force has been developed and implemented in a simulation algorithm. A description of nerve fiber excitation was obtained using probability distributions of a number of excitation parameters. The volume conduction model of the stimulated nerve incorporates both inhomogeneities and anisotropy within the nerve. The nerve geometry was assumed to be cylindrically symmetric. The model of the nerve fiber excitation mechanism was based on that of D.R. McNeal (1976), using the Frankenhaeuser-Huxley equations. Simulations showed that the diameter dependence of nerve fiber recruitment is influenced by the electrode geometr

Multi-tasking control system for real-time processing of biomedical signals

A general multi-tasking control system has been developed for real-time signal processing. This control system, written in the language PASCAL, enables tasks (expressed as PASCAL procedures) to be performed as separate, concurrent processes, with adjustable priority levels. Modifications of this system such as the addition of new processes and a change of the number of priority levels can be realised easily. The system has been used for the implementation of the real-time algorithms involved in monitoring exercise electrocardiograms. For this application an LSI 11/23 is used with the support of a slave processor for the calculation of inner products. The control system is also suitable for other real-time applications when process requirements are not too heavy