Cargando…
Efficient extraction of data from intra-operative evoked potentials: 1.-Theory and simulations
Quickly and efficiently extracting evoked potential information from noise is critical to the clinical practice of intraoperative neurophysiologic monitoring (IONM). Currently this is primarily done using trained professionals to interpret averaged waveforms. The purpose of this paper is to evaluate...
Autores principales: | Stecker, Mark M., Wermelinger, Jonathan, Shils, Jay |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10428058/ https://www.ncbi.nlm.nih.gov/pubmed/37593620 http://dx.doi.org/10.1016/j.heliyon.2023.e18671 |
Ejemplares similares
-
Opportunities and challenges of supervised machine learning for the classification of motor evoked potentials according to muscles
por: Wermelinger, Jonathan, et al.
Publicado: (2023) -
Latency-shift of intra-operative visual evoked potential predicts reversible homonymous hemianopia after intra-ventricular meningioma surgery
por: Qerama, Erisela, et al.
Publicado: (2019) -
Long-term motor deficit in brain tumour surgery with preserved intra-operative motor-evoked potentials
por: Giampiccolo, Davide, et al.
Publicado: (2021) -
Neuromonitoring for Spinal Cord Stimulation Lead Placement Under General Anesthesia
por: Shils, Jay L., et al.
Publicado: (2018) -
Obstetric operating room staffing and operating efficiency using queueing theory
por: Lim, Grace, et al.
Publicado: (2023)