Intraoperative neurophysiological monitoring (IONM) is commonly used as an attempt to minimize neurological morbidity from operative manipulations. The goal of IONM is to identify changes in the central and peripheral nervous system function prior to irreversible damage. Intraoperative monitoring also has been effective in localizing anatomical structures, including peripheral nerves and sensorimotor cortex, which helps guide the surgeon during dissection. As part of IONM, transcranial motor evoked potentials (TcMEPs), and somatosensory evoked potentials (SSEPs) are routinely monitored. However, current wired systems are cumbersome as the wires contribute to the crowded conditions in the operating room and in doing so not only it limits the maneuverability of the surgeon and assistants, but also places certain demand in the total anesthesia required during surgery, due to setup preoperative time needed for proper electrode placement, due to the number and length of the wires, and critical identification of the lead wires needed for stimulation and recording. To address these limitations, we have developed a wireless TcMEP IONM system as a first step toward a multimodality IONM system. Bench-top and animal experiments in rodents demonstrated that the wireless method reproduced with high fidelity, and even increased the frequency bandwidth of the TcMEP signals, compared to wired systems. This wireless system will reduce the preoperative time required for IONM setup, add convenience for surgical staff, and reduce wire-related risks for patients during the operation.
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This research was supported by Texas StarPlus Award and Intel Corp. The authors greatly appreciate the valuable support and contributions of Dr. Nancy Clegg, Patricia Rampy, Elizabeth Van Allen, Dahlia Reid, and the research staff in the Neurology and Neurophysiology departments at Texas Scottish Rite Hospital for Children in Dallas, Texas.
Author information Authors and AffiliationsDepartment of Bioengineering, University of Texas at Arlington, 701 S. Nedderman Dr., Arlington, TX, 76019, USA
Aydin Farajidavar, Jennifer L. Seifert, Jennifer E. S. Bell, Mario I. Romero & J.-C. Chiao
Department of Electrical Engineering, University of Texas at Arlington, 701 S. Nedderman Dr., Arlington, TX, 76019, USA
Young-Sik Seo & J.-C. Chiao
Department of Neurology, The University of Texas Southwestern Medical Center at Dallas, 5323 Harry Hines Blvd., Dallas, TX, 75390, USA
Mauricio R. Delgado & Steven Sparagana
NH 143, 416 Yates St., Arlington, TX, 76019-0016, USA
Aydin Farajidavar
Correspondence to Aydin Farajidavar.
Additional informationAssociate Editor Jing Bai oversaw the review of this article.
About this article Cite this articleFarajidavar, A., Seifert, J.L., Bell, J.E.S. et al. A Wireless System for Monitoring Transcranial Motor Evoked Potentials. Ann Biomed Eng 39, 517–523 (2011). https://doi.org/10.1007/s10439-010-0152-x
Received: 29 June 2010
Accepted: 21 August 2010
Published: 08 September 2010
Issue Date: January 2011
DOI: https://doi.org/10.1007/s10439-010-0152-x
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