Matched filtering and multiple-hypothesis tracking applied to C-fiber action potentials recorded in human nerves

Bjorn Hansson; Clemens Forster; Erik Torebjork

doi:10.1117/12.324653

3 September 1998 Matched filtering and multiple-hypothesis tracking applied to C-fiber action potentials recorded in human nerves

Bjorn Hansson, Clemens Forster, Erik Torebjork

Author Affiliations +

Proceedings Volume 3373, Signal and Data Processing of Small Targets 1998; (1998) https://doi.org/10.1117/12.324653
Event: Aerospace/Defense Sensing and Controls, 1998, Orlando, FL, United States

Abstract

We describe an application of multiple target tracking (MTT) to microneurography, with the purpose of estimating conduction velocity changes and recovery constants of human nerve C-fibers. In this paper, the focus is on the detection and the tracking of the nerve action potentials (APs). The subsequent parameter estimation is described only briefly. Results from an application of the tracking system on real data recorded inhuman subjects are presented. Action potentials form C-fibers were recorded with a thin needle electrode inserted into the peroneal nerve of awake human subjects. The APs were detected by a matched filter constituting a maximum likelihood constant false alarm rate detector. By utilizing the multiple hypothesis tracking method, the detected APs in each trace were associated to individual nerve fibers by their typical conduction latencies in response to electrical stimulation in the skin. The measurements were 1D, and the APs were spaced in time with intersecting, piecewise continuous, trajectories. The amplitude of the APs was varying slowly over time for each C-fiber and was in general different for different fibers. It was therefore incorporated into the tracking algorithm to improve its performance.

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Bjorn Hansson, Clemens Forster, and Erik Torebjork "Matched filtering and multiple-hypothesis tracking applied to C-fiber action potentials recorded in human nerves", Proc. SPIE 3373, Signal and Data Processing of Small Targets 1998, (3 September 1998); https://doi.org/10.1117/12.324653

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