Open AccessThe sensitivity of ECG contamination to surgical implantation site in brain computer interfaces
Author(s) -
WolfJulian Neumann,
Majid Memarian Sorkhabi,
Moaad Benjaber,
Lucia K. Feldmann,
Assel Saryyeva,
Joachim K. Krauss,
Maria Fiorella Contarino,
Tomáš Sieger,
Robert Jech,
Gerd Tinkhauser,
Claudio Pollo,
Chiara Palmisano,
Ioannis U. Isaias,
Daniel D. Cummins,
Simon Little,
Philip A. Starr,
Vasileios Kokkinos,
Schneider Gerd-Helge,
Todd M. Herrington,
Peter Brown,
R. Mark Richardson,
Andrea A. Kühn,
Timothy Denison
Publication year - 2021
Publication title -
brain stimulation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.685
H-Index - 81
eISSN - 1935-861X
pISSN - 1876-4754
DOI - 10.1016/j.brs.2021.08.016
Subject(s) - artifact (error) , brain implant , implant , contamination , neurostimulation , signal (programming language) , noise (video) , medicine , computer science , biomedical engineering , artificial intelligence , surgery , stimulation , image (mathematics) , programming language , biology , ecology
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.
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