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ApproXON: Heuristic Approximation to the E-Field-Threshold for Deep Brain Stimulation Volume-of-Tissue-Activated Estimation

Daniele Proverbio, View ORCID ProfileAndreas Husch
doi: https://doi.org/10.1101/863613
Daniele Proverbio
bUniversity of Luxembourg, Luxembourg Centre for Systems Biomedicine, Systems Control Group
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  • For correspondence: daniele.proverbio@uni.lu andreas.husch@uni.lu
Andreas Husch
aUniversity of Luxembourg, Luxembourg Centre for Systems Biomedicine, Interventional Neuroscience Group
bUniversity of Luxembourg, Luxembourg Centre for Systems Biomedicine, Systems Control Group
cCentre Hospitalier de Luxembourg, National Department of Neurosurgery
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  • ORCID record for Andreas Husch
  • For correspondence: daniele.proverbio@uni.lu andreas.husch@uni.lu
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Abstract

This paper introduces a heuristic approximation of the e-field threshold used for volume-of-tissue-activated computation in deep brain stimulation. Pulse width and axon diameter are used as predictors. An open source implementation in MATLAB is provided together with an integration in the open LeadDBS deep brain stimulation research toolbox.

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  • https://github.com/adhusch/ApproXON

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
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Posted December 03, 2019.
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ApproXON: Heuristic Approximation to the E-Field-Threshold for Deep Brain Stimulation Volume-of-Tissue-Activated Estimation
Daniele Proverbio, Andreas Husch
bioRxiv 863613; doi: https://doi.org/10.1101/863613
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ApproXON: Heuristic Approximation to the E-Field-Threshold for Deep Brain Stimulation Volume-of-Tissue-Activated Estimation
Daniele Proverbio, Andreas Husch
bioRxiv 863613; doi: https://doi.org/10.1101/863613

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