The sensitivity of ECG contamination to surgical implantation site in brain computer interfaces.

Neumann, Wolf-Julian; Memarian Sorkhabi, Majid; 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; Cummins, Daniel D; Little, Simon J; Starr, Philip A; Kokkinos, Vasileios; Gerd-Helge, Schneider; Herrington, Todd; Brown, Peter; ... (2021). The sensitivity of ECG contamination to surgical implantation site in brain computer interfaces. Brain stimulation, 14(5), pp. 1301-1306. Elsevier 10.1016/j.brs.2021.08.016

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BACKGROUND

Brain 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.

OBJECTIVES

Investigate neural signal contamination with ECG activity in sensing enabled neurostimulation systems, and in particular clinical choices such as implant location that impact signal fidelity.

METHODS

Electric field modeling and empirical signals from 85 patients were used to investigate the relationship between implant location and ECG contamination.

RESULTS

The 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.

CONCLUSIONS

Given 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.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > Department of Head Organs and Neurology (DKNS) > Clinic of Neurology
04 Faculty of Medicine > Department of Head Organs and Neurology (DKNS) > Clinic of Neurosurgery

UniBE Contributor:

Tinkhauser, Gerd, Pollo, Claudio

Subjects:

600 Technology > 610 Medicine & health

ISSN:

1935-861X

Publisher:

Elsevier

Language:

English

Submitter:

Nicole Söll

Date Deposited:

05 Nov 2021 09:24

Last Modified:

05 Dec 2022 15:53

Publisher DOI:

10.1016/j.brs.2021.08.016

PubMed ID:

34428554

Uncontrolled Keywords:

Artifacts Brain computer interface Deep brain stimulation Neuromodulation Oscillations

BORIS DOI:

10.48350/159936

URI:

https://boris.unibe.ch/id/eprint/159936

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