The sensitivity of ECG contamination to surgical implantation site in adaptive closed-loop neurostimulation systems
Wolf‐Julian NeumanniD, Majid Memarian SorkhabiiD, Moaad BenjaberiD, Lucia K. FeldmanniD, Assel Saryyeva, Joachim K. Krauss, Maria Fiorella ContarinoiD, Tomas Sieger, Robert JechiD, Gerd TinkhauseriD, Claudio Pollo, Chiara PalmisanoiD, Ioannis U. IsaiasiD, Daniel Cummins, Simon J LittleiD, Philip A. StarriD, Vasileios KokkinosiD, Schneider Gerd-Helge, Todd Herrington, Peter BrowniD, R. Mark RichardsoniD, Andrea A. KühniD, Timothy DenisoniD
Abstract
BackgroundBrain sensing devices are approved today for Parkinsons, 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.a ResultsThe 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. HighlightsO_LIChronic embedded brain sensing promises algorithm-based neurostimulation C_LIO_LIAlgorithms for closed-loop stimulation can be impaired by artifacts C_LIO_LIThe relationship of implant location to cardiac dipole has relevant impact on neural signal fidelity; simple models can provide guidance on the sensitivity C_LIO_LIECG artifacts are present in up to 50% of neural signals from left subclavicular DBS systems C_LIO_LIImplanting DBS in a right subclavicular location significantly reduces frequency of ECG artifacts C_LIO_LICranial-mounted implants are relatively immune to artifacts C_LI
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