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Matched Filtering and Multiple Hypothesis Tracking
Applied to C-Fiber Action Potentials Recorded in Human Nerves
Björn Hansson,
Clemens Forster,
and
Erik Torebjörk
Proc. of Signal and Data Processing of Small Targets 1998,
SPIE, Vol. 3373, pp. 582-593, Orlando, FL, USA, 14-16 April 1998.
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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 in human subjects are presented.
Action potentials from 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 (ML-CFAR) detector.
By
utilizing the multiple hypothesis tracking (MHT) method, the detected
APs (targets) in each trace were associated to individual nerve fibers
(tracks) by their typical conduction latencies in response to
electrical stimulation in the skin. The measurements were
one-dimensional (range only), 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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Related publications:
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Paper in IEEE Trans on Biomedical
Engineering, 2002.
Report version of that paper,
describing the complete algorithm.
Master thesis on the implementation of the tracking problem.
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Source:
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