An EEG based real-time epilepsy seizure detection approach using discrete wavelet transform and machine learning methods

M Shen, P Wen, B Song, Y Li - Biomedical Signal Processing and Control, 2022 - Elsevier
Epilepsy is one of the most common complex brain disorders which is a chronic non-
communicable disease caused by paroxysmal abnormal super-synchronous electrical …

[HTML][HTML] Artificial intelligence and computational approaches for epilepsy

S An, C Kang, HW Lee - Journal of epilepsy research, 2020 - ncbi.nlm.nih.gov
Studies on treatment of epilepsy have been actively conducted in multiple avenues, but
there are limitations in improving its efficacy due to between-subject variability in which …

Real-time epilepsy seizure detection based on EEG using tunable-Q wavelet transform and convolutional neural network

M Shen, P Wen, B Song, Y Li - Biomedical Signal Processing and Control, 2023 - Elsevier
Epilepsy is a chronic disease caused by sudden abnormal discharge of brain neurons,
leading to transient brain dysfunctions. This paper proposed an EEG based real-time …

A systematic review and meta-analysis of anti-epileptic medication non-adherence among people with epilepsy in Ethiopia

Z Belayneh, B Mekuriaw - Archives of Public Health, 2020 - Springer
Background Epilepsy is the common neurological disorder in the world, affecting
approximately 50 million people. Anti-epileptic medication non-adherence can be a reason …

Prevalence, incidence, and trends of epilepsy among children and adolescents in Africa: a systematic review and meta-analysis

G Biset, N Abebaw, NA Gebeyehu, N Estifanos… - BMC Public Health, 2024 - Springer
Background Epilepsy contributes to a significant disease burden in children and
adolescents worldwide. The incidence of childhood epilepsy is threefold higher in low and …

Health-related quality of life and its determinants among ambulatory patients with epilepsy at Ambo General Hospital, Ethiopia: Using WHOQOL-BREF

GM Tefera, WA Megersa, DA Gadisa - PloS one, 2020 - journals.plos.org
Background Health‐related quality of life (HRQOL) is used as a measure of treatment
outcomes, in addition to seizure control. Hence, the study was aimed to assess HRQOL and …

Predicting efficacy of antiseizure medication treatment with machine learning algorithms in north indian population

M Kaushik, S Mahajan, N Machahary, S Thakran… - Epilepsy Research, 2024 - Elsevier
Purpose This study aimed to develop a classifier using supervised machine learning to
effectively assess the impact of clinical, demographical, and biochemical factors in …

Clinical and economic implications of epilepsy management across treatment lines in Spain: a real-life database analysis

R Toledano, V Villanueva, M Toledo, J Sabaniego… - Journal of …, 2023 - Springer
Background Epilepsy is a chronic brain disease characterized by recurrent seizures. We
investigated real-world management of epilepsy across treatment lines in Spain, including …

Epilepsy Treatment Outcome and Its Predictors among Ambulatory Patients with Epilepsy at Mizan‐Tepi University Teaching Hospital, Southwest Ethiopia

A Zewudie, Y Mamo, D Feyissa… - Neurology Research …, 2020 - Wiley Online Library
Background. Epilepsy is among the most common neurological disorders which is highly
treatable with currently available antiepileptic drugs at a reasonable price. In Ethiopia …

Magnitude of uncontrolled seizures and associated factors among people with epilepsy. Data from a major teaching hospital in Southwest Ethiopia

Y Babu, T Sheleme, B Sefera, F Bekele, W Olika - Epilepsy & Behavior, 2023 - Elsevier
Background Epilepsy is a major public health problem affecting 70 million people
worldwide. 90% of global people with epilepsy were living in developing regions like …