A novel method for characterization of peripheral nerve fiber size distributions by group delay.
The ability to determine the characteristics of peripheral nerve fiber size distributions would provide additional information to clinicians for the diagnosis of specific pathologies of the peripheral nervous system. Investigation of these conditions, using electrodiagnostic techniques, is advantageous in the sense that such techniques tend to be minimally invasive yet provide valuable diagnostic information. One of the principal electrodiagnostic tools available to the clinician is the nerve conduction velocity test. While the peripheral nerve conduction velocity test can provide useful information to the clinician regarding the viability of the nerve under study, it is a single-parameter test that yields no detailed information about the characteristics of the functioning nerve fibers within the nerve trunk. In this study, we present a technique based on decomposition of the maximal compound evoked potential and subsequent determination of the group delay of the contributing nerve fibers. The fiber group delay is then utilized as an initial estimation of the nerve fiber size distribution and the associated temporal propagation delays of the single-fiber-evoked potentials to a reference electrode. Simulation studies, based on deterministic single-fiber action potential functions, are used to demonstrate the robustness of the proposed technique in the presence of simulated noise associated with the recording process.
Szlavik
Robert B
RB
theDepartment ofBiomedical andGeneral Engineering, California Polytechnic State University, San Luis Obispo, CA 93407-0350, USA. rszlavik@calpoly.edu
D000200:Action Potentials / Q000502:physiology; D004566:Electrodes; D004594:Electrophysiology / Q000379:methods; D005071:Evoked Potentials / Q000502:physiology; D005583:Fourier Analysis; D006801:Humans; D008959:Models, Neurological; D009412:Nerve Fibers / Q000502:physiology*; D009431:Neural Conduction / Q000502:physiology*; D010525:Peripheral Nerves / Q000502:physiology*; D012815:Signal Processing, Computer-Assisted; D049490:Systems Biology / Q000379:methods*