Document Type

Thesis

Publication Date

4-7-2023

Advisor

Adriana Uruena-Agnes

Abstract

Epilepsy is a rare and a chronic, non-transmissible condition that can affect all ages. Particularly, myoclonic seizures is an uncommon medical condition where a few of the population are affected (Michelucci, 2016). Hence, understanding clinicians' decisions in assessing the chronic problem is critical. The context of this thesis is intended for an audience who are interested in exploring medical research and for exploring written medical literature based on a topic on a rare medical condition. This thesis also provides an exploration on how specific instrumentation may be used as a diagnostic criterion. Specifically, used for providing context for how myoclonic seizures are researched. This thesis precisely aims to explore intersectional diagnostic routes against a rare and chronic problem. This paper introduces an overall review for exploring empirical and literature review articles to better understand the onset of seizures. Current research provides insight into the diagnostic instrumentation that is sought out for clinical analysis, where instrumentation such as the electroencephalogram (EEG) device may be correlative for aiding in identifying pharmaceutical treatment options. This review focuses on myoclonic seizures and aims to explore diagnostic assessments where recurrence of seizures is reviewed on. The review also provides insight into evaluating the development of this disease could broaden the outlook and confidence in treatment and assess quality of life (QoL). In further reviewing on this topic, this literature additionally reviews an understanding into why researchers explore such particular instrumentation. Such as, factoring apparent biomarkers or for exploring researchers use in the electroencephalogram to assess specific epileptic disorders. Some researchers have explored the electroencephalogram and their level of capability in predicting onset or recurrence of myoclonic epilepsy. Predicting its onset may consider family history, blood analyzes, and possible comorbidities in specificity to adolescence ages of 10 to 14 years.

Download

Share

COinS