Ictal autonomic changes as a tool for seizure detection: a systematic review.

Anouk van Westrhenen Thomas De Cooman Richard H C Lazeron Sabine Van Huffel Roland D Thijs

Published in: Clinical autonomic research : official journal of the Clinical Autonomic Research Society (2018)

The overall quality of studies on seizure detection using autonomic parameters is low. Unimodal autonomic algorithms cannot reach acceptable performance as false alarm rates are still too high. Larger prospective studies are needed to validate multimodal automatic seizure detection.

Keyphrases

heart rate variability
loop mediated isothermal amplification
heart rate

machine learning
temporal lobe epilepsy
real time pcr

label free
deep learning

case control
sensitive detection