Personalized seizure detection using logistic regression machine learning based on wearable ECG-monitoring device.

Wearable seizure detection devices alerting patients, caregivers and family of patients with epilepsy represent a vital asset for patients with intractable epilepsy, who have uncontrolled and unpredictable seizures[1]. In clinical practice reporting of the seizure frequency of the individual patient relies on seizure diaries logged by the patients or caregivers, however these are highly unreliable as more than half of seizures go unnoticed by the patients[2]. The erroneous seizure counts both leads to under and over prescription of anti-seizure drugs and furthermore bias clinical assessment of efficacy of anti-seizure drug trials[3].

Source: Seizure: European Journal of Epilepsy - April 13, 2023 Category: Neurology Authors: Jesper Jeppesen, Jakob Christensen, Peter Johansen, S ándor Beniczky Source Type: research