The sensitivity of ECG contamination to surgical implantation site in adaptive neurostimulation

Author:

Neumann Wolf-JulianORCID,Sorkhabi Majid MemarianORCID,Benjaber Moaad,Feldmann Lucia K.,Saryyeva Assel,Krauss Joachim K.,Contarino Maria Fiorella,Sieger Tomas,Jech Robert,Tinkhauser Gerd,Pollo Claudio,Palmisano Chiara,Isaias Ioannis U.ORCID,Cummins Daniel,Little Simon J.,Starr Philip A.,Kokkinos Vasileios,Gerd-Helge Schneider,Herrington Todd,Brown PeterORCID,Richardson R. MarkORCID,Kühn Andrea A.,Denison Timothy

Abstract

AbstractBackgroundBrain sensing devices are approved today for Parkinson’s, essential tremor, and epilepsy therapies. Clinical decisions for implants are often influenced by the premise that patients will benefit from using sensing technology. However, artifacts, such as ECG contamination, can render such treatments unreliable. Therefore, clinicians need to understand how surgical decisions may affect artifact probability.ObjectivesInvestigate neural signal contamination with ECG activity in sensing enabled neurostimulation systems, and in particular clinical choices such as implant location that impact signal fidelity.MethodsElectric field modelling and empirical signals from 85 patients were used to investigate the relationship between implant location and ECG contamination.aResultsThe impact on neural recordings depends on the difference between ECG signal and noise floor of the electrophysiological recording. Empirically, we demonstrate that severe ECG contamination was more than 3.2x higher in left-sided subclavicular implants (48.3%), when compared to right-sided implants (15.3%). Cranial implants did not show ECG contamination.ConclusionsGiven the relative frequency of corrupted neural signals, we conclude that implant location will impact the ability of brain sensing devices to be used for “closed-loop” algorithms. Clinical adjustments such as implant location can significantly affect signal integrity and need consideration.HighlightsChronic embedded brain sensing promises algorithm-based neurostimulationAlgorithms for closed-loop stimulation can be impaired by artifactsThe relationship of implant location to cardiac dipole has relevant impact on neural signal fidelity; simple models can provide guidance on the sensitivityECG artifacts are present in up to 50% of neural signals from left subclavicular DBS systemsImplanting DBS in a right subclavicular location significantly reduces frequency of ECG artifactsCranial-mounted implants are relatively immune to artifacts

Publisher

Cold Spring Harbor Laboratory

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