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Epilepsy is a devastating neurological disorder that affects nearly 70 million people worldwide. Epilepsy causes uncontrollable, unprovoked and unpredictable seizures that reduces the quality of life of those afflicted, with 1-9 epileptic patient deaths per 1000 patient occurring annually due to sudden unexpected death in epilepsy (SUDEP). Predicting the onset of seizures and managing them may help patients from harming themselves and may improve their well-being. For a long time, electroencephalography (EEG) devices have been the mainstay for seizure detection and monitoring. This systematic review aimed to elucidate and critically evaluate the latest advancements of medical devices, besides EEG, that have been proposed for the management and prediction of epileptic seizures. A literature search was performed on three databases; PubMed, Scopus and EMBASE. Following title/abstract screening by two independent reviewers, 27 articles were selected for critical analysis in this review. These articles revealed ambulatory, non-invasive and wearable medical devices such as the in-ear EEG devices, the accelerometer-based devices and the subcutaneous implanted EEG devices might be more acceptable than traditional EEG systems. In addition, extracerebral signal-based devices may be more efficient than EEG-based systems, especially when combined with an intervention trigger. Although further studies may still be required to improve and validate these proposed systems before commercialization, these findings may give hope to epileptic patients, particularly those with refractory epilepsy, to predict and manage their seizures. The use of medical devices for epilepsy may improve patients' independence and quality of life and possibly prevent sudden unexpected death in epilepsy (SUDEP).
Long-Time Course of Idiopathic Small Fiber Neuropathy
