Epilepsy is a neurological disorder (Engel and Pedley, 2008), whose main clinical sign are the so-called “epileptic seizures, " having a significant social and sanitary impact, both due to its quite high incidence and chronicity. In fact, it is estimated that the lifetime prevalence of epilepsy is around 7.60 per 1000 persons, whereas its incidence rate appears to be of 61.44 per 100, 000 person years (Fiest et al., 2017). Seizures are unpredictable events so disability caused by epilepsy can be significant, due to uncertainty and consequences of the fits.
Vatti, G., Detti, P., de Lara, Z.M., Billeci, L., Tonacci, A., Varanini, M. (2020). Algorithms for epilepsy monitoring. In Precision Medicine for Investigators, Practitioners and Providers (pp. 351-359). Elsevier [10.1016/B978-0-12-819178-1.00034-4].
Algorithms for epilepsy monitoring
Detti, Paolo;de Lara, Zabalo Manrique;
2020-01-01
Abstract
Epilepsy is a neurological disorder (Engel and Pedley, 2008), whose main clinical sign are the so-called “epileptic seizures, " having a significant social and sanitary impact, both due to its quite high incidence and chronicity. In fact, it is estimated that the lifetime prevalence of epilepsy is around 7.60 per 1000 persons, whereas its incidence rate appears to be of 61.44 per 100, 000 person years (Fiest et al., 2017). Seizures are unpredictable events so disability caused by epilepsy can be significant, due to uncertainty and consequences of the fits.
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https://hdl.handle.net/11365/1120331