Ictal autonomic changes as a tool for seizure detection: a systematic review.
Anouk van WestrhenenThomas De CoomanRichard H C LazeronSabine Van HuffelRoland D ThijsPublished 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.