Train of four stimulation artifact mimicking a seizure during computerized automated ICU EEG monitoring

Laxmi P. Dhakal; William O. Tatum; William D. Freeman

doi:10.1016/j.ebcr.2017.09.002

Train of four stimulation artifact mimicking a seizure during computerized automated ICU EEG monitoring

Laxmi P. Dhakal, William O. Tatum, William D. Freeman

Neurosurgery

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Abstract

A 54-year-old man was admitted to the intensive care unit with an aneurysmal subarachnoid hemorrhage and subsequently underwent mechanical ventilation and received neuromuscular blocking drugs to control refractory elevated intracranial pressure. During quantitative EEG monitoring, an automated alert was triggered by the train of four peripheral nerve stimulation artifacts. Real-time feedback was made possible due to remote monitoring. This case illustrates how computerized, automated artificial intelligence algorithms can be used beyond typical seizure detection in the intensive care unit for remote monitoring to benefit patient care.

Original language	English (US)
Pages (from-to)	69-72
Number of pages	4
Journal	Epilepsy and Behavior Case Reports
Volume	8
DOIs	https://doi.org/10.1016/j.ebcr.2017.09.002
State	Published - 2017

Keywords

Automatic seizure detection
Electroencephalogram
Intensive care unit
Peripheral nerve stimulation
Quantitative EEG

ASJC Scopus subject areas

Neurology
Clinical Neurology
Behavioral Neuroscience

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10.1016/j.ebcr.2017.09.002

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abstract = "A 54-year-old man was admitted to the intensive care unit with an aneurysmal subarachnoid hemorrhage and subsequently underwent mechanical ventilation and received neuromuscular blocking drugs to control refractory elevated intracranial pressure. During quantitative EEG monitoring, an automated alert was triggered by the train of four peripheral nerve stimulation artifacts. Real-time feedback was made possible due to remote monitoring. This case illustrates how computerized, automated artificial intelligence algorithms can be used beyond typical seizure detection in the intensive care unit for remote monitoring to benefit patient care.",

keywords = "Automatic seizure detection, Electroencephalogram, Intensive care unit, Peripheral nerve stimulation, Quantitative EEG",

author = "Dhakal, {Laxmi P.} and Tatum, {William O.} and Freeman, {William D.}",

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AU - Tatum, William O.

AU - Freeman, William D.

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N2 - A 54-year-old man was admitted to the intensive care unit with an aneurysmal subarachnoid hemorrhage and subsequently underwent mechanical ventilation and received neuromuscular blocking drugs to control refractory elevated intracranial pressure. During quantitative EEG monitoring, an automated alert was triggered by the train of four peripheral nerve stimulation artifacts. Real-time feedback was made possible due to remote monitoring. This case illustrates how computerized, automated artificial intelligence algorithms can be used beyond typical seizure detection in the intensive care unit for remote monitoring to benefit patient care.

AB - A 54-year-old man was admitted to the intensive care unit with an aneurysmal subarachnoid hemorrhage and subsequently underwent mechanical ventilation and received neuromuscular blocking drugs to control refractory elevated intracranial pressure. During quantitative EEG monitoring, an automated alert was triggered by the train of four peripheral nerve stimulation artifacts. Real-time feedback was made possible due to remote monitoring. This case illustrates how computerized, automated artificial intelligence algorithms can be used beyond typical seizure detection in the intensive care unit for remote monitoring to benefit patient care.

KW - Automatic seizure detection

KW - Electroencephalogram

KW - Intensive care unit

KW - Peripheral nerve stimulation

KW - Quantitative EEG

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ER -

Train of four stimulation artifact mimicking a seizure during computerized automated ICU EEG monitoring

Abstract

Keywords

ASJC Scopus subject areas

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