Seizure prediction—ready for a new era
Epilepsy is a common disorder characterized by recurrent seizures. An overwhelming
majority of people with epilepsy regard the unpredictability of seizures as a major issue …
majority of people with epilepsy regard the unpredictability of seizures as a major issue …
Machine learning and wearable devices of the future
Abstract Machine learning (ML) is increasingly recognized as a useful tool in healthcare
applications, including epilepsy. One of the most important applications of ML in epilepsy is …
applications, including epilepsy. One of the most important applications of ML in epilepsy is …
[HTML][HTML] A taxonomy of seizure dynamotypes
Seizures are a disruption of normal brain activity present across a vast range of species and
conditions. We introduce an organizing principle that leads to the first objective Taxonomy of …
conditions. We introduce an organizing principle that leads to the first objective Taxonomy of …
Virtual resection predicts surgical outcome for drug-resistant epilepsy
Patients with drug-resistant epilepsy often require surgery to become seizure-free. While
laser ablation and implantable stimulation devices have lowered the morbidity of these …
laser ablation and implantable stimulation devices have lowered the morbidity of these …
[HTML][HTML] Forecasting seizure likelihood with wearable technology
The unpredictability of epileptic seizures exposes people with epilepsy to potential physical
harm, restricts day-to-day activities, and impacts mental well-being. Accurate seizure …
harm, restricts day-to-day activities, and impacts mental well-being. Accurate seizure …
From seizure detection to smart and fully embedded seizure prediction engine: A review
Recent review papers have investigated seizure prediction, creating the possibility of
preempting epileptic seizures. Correct seizure prediction can significantly improve the …
preempting epileptic seizures. Correct seizure prediction can significantly improve the …
Crowdsourcing seizure detection: algorithm development and validation on human implanted device recordings
There exist significant clinical and basic research needs for accurate, automated seizure
detection algorithms. These algorithms have translational potential in responsive …
detection algorithms. These algorithms have translational potential in responsive …
[HTML][HTML] A comparison of neuroelectrophysiology databases
As data sharing has become more prevalent, three pillars-archives, standards, and analysis
tools-have emerged as critical components in facilitating effective data sharing and …
tools-have emerged as critical components in facilitating effective data sharing and …
Closed-loop neural prostheses with on-chip intelligence: A review and a low-latency machine learning model for brain state detection
The application of closed-loop approaches in systems neuroscience and therapeutic
stimulation holds great promise for revolutionizing our understanding of the brain and for …
stimulation holds great promise for revolutionizing our understanding of the brain and for …
[HTML][HTML] Using scalp EEG and intracranial EEG signals for predicting epileptic seizures: Review of available methodologies
Patients suffering from epileptic seizures are usually treated with medication and/or surgical
procedures. However, in more than 30% of cases, medication or surgery does not effectively …
procedures. However, in more than 30% of cases, medication or surgery does not effectively …