Edge AI Neurostimulation Controllers Versus Continuous Therapy for Drug-Resistant Focal Epilepsy
Edge Computing Artificial Intelligence Neurostimulation Controllers Versus Standard Continuous Therapy for Drug Resistant Focal Epilepsy: A Randomized Controlled Trial
Drug-resistant focal epilepsy remains a major therapeutic challenge. Conventional neurostimulators rely on static, continuous open-loop stimulation or low-bandwidth reactive loops that suffer from classification latency or high battery consumption. This prospective, double-blind, randomized controlled trial evaluates whether hardware-integrated edge computing artificial intelligence (AI) neurostimulators demonstrate superior seizure reduction, lower processing latency, and reduced battery drain compared to standard continuous neurostimulation therapy over a 6-week intervention period.
Aperçu de l'étude
Statut
Les conditions
Intervention / Traitement
Description détaillée
Eighty adult patients with drug-resistant focal epilepsy undergoing intracranial lead implantation across tertiary referral centers were randomized 1:1 post-implantation into two parallel groups: Edge Computing AI Neurostimulation: Received localized on-hardware machine learning feature extraction and pre-ictal spike classification from intracranial EEG, triggering adaptive targeted high-frequency electrical impulse bursts. Standard Continuous Therapy: Received conventional fixed-frequency, open-loop electrical neurostimulation. The trial evaluated clinical seizure frequency tracked via direct intracortical telemetry logs validated by daily patient diaries, as well as operational hardware metrics including microchip classification latency, real-time inference execution loads, and daily milliampere-hour battery consumption over 6 weeks.
Type d'étude
Inscription (Réel)
Phase
- N'est pas applicable
Contacts et emplacements
Lieux d'étude
-
-
Punjab Province
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Lahore, Punjab Province, Pakistan, 54570
- Tertiary Neurosurgical Referral Hospitals
-
-
Critères de participation
Critère d'éligibilité
Âges éligibles pour étudier
Accepte les volontaires sains
Sexes éligibles pour l'étude
La description
Inclusion Criteria:
- Diagnosed with refractory (drug-resistant) focal epilepsy.
- Minimum of four electroclinically documented disabling focal seizures per month despite compliance with two or more appropriately chosen antiseizure medications.
- Scheduled for clinical intracranial lead implantation (subdural grid or depth electrodes).
- Aged 18 to 65 years at the time of enrollment.
Exclusion Criteria:
- Diagnosis of primary generalized epilepsy.
- Progressive neurological disorders.
- Severe cognitive impairment.
- Active psychiatric conditions.
- Previous cranial neurostimulation implants.
- Medical contraindications to surgical implantation or continuous intracortical telemetry.
Plan d'étude
Comment l'étude est-elle conçue ?
Détails de conception
- Objectif principal: Traitement
- Répartition: Randomisé
- Modèle interventionnel: Affectation parallèle
- Masquage: Tripler
Armes et Interventions
Groupe de participants / Bras |
Intervention / Traitement |
|---|---|
|
Expérimental: Edge Computing AI Neurostimulation
Participants received an implantable neurostimulator running local edge computing machine learning algorithms to classify pre-ictal spikes from intracortical EEG in real time, delivering adaptive targeted electrical impulse bursts. |
Hardware-integrated neural processing engine executing real-time feature extraction and pre-ictal spike classification from intracranial EEG, triggering adaptive electrical bursts. |
|
Comparateur actif: Standard Continuous Therapy
Participants received continuous open-loop static neurostimulation delivering fixed-frequency electrical pulses regardless of underlying electrical activity. |
Static, fixed-frequency continuous open-loop electrical pulse stimulation delivered regardless of underlying electrical activity. |
Que mesure l'étude ?
Principaux critères de jugement
Mesure des résultats |
Description de la mesure |
Délai |
|---|---|---|
|
Monthly Clinical Focal Seizure Frequency
Délai: Baseline and Week 6 (completion of intervention)
|
Number of clinical focal seizures per month, recorded continuously via automated direct intracortical telemetry logs and verified against daily patient seizure diaries |
Baseline and Week 6 (completion of intervention)
|
Mesures de résultats secondaires
Mesure des résultats |
Description de la mesure |
Délai |
|---|---|---|
|
Microchip Pre-Ictal Classification Latency
Délai: Continuously across the 6-week intervention
|
Local on-hardware signal processing and classification response time measured in milliseconds (ms) from raw intracranial EEG pattern identification to trigger execution. |
Continuously across the 6-week intervention
|
|
Daily Battery Drain Rate
Délai: Continuously across the 6-week intervention
|
Average daily battery consumption rate measured in milliampere-hours per day (mAh/day) from device telemetry logs. |
Continuously across the 6-week intervention
|
|
Real-Time Microchip Inference Load
Délai: Continuously across the 6-week intervention
|
Percentage of microchip processing capacity utilized during real-time on-device machine learning execution. |
Continuously across the 6-week intervention
|
|
Number of Participants with Adverse Events
Délai: Throughout the 8-month trial duration
|
Hardware-related, surgical, or neurological adverse events documented throughout the trial. |
Throughout the 8-month trial duration
|
Collaborateurs et enquêteurs
Parrainer
Les enquêteurs
- Chercheur principal: Ammar Khalil, University of Kotli
Dates d'enregistrement des études
Dates principales de l'étude
Début de l'étude (Réel)
Achèvement primaire (Réel)
Achèvement de l'étude (Réel)
Dates d'inscription aux études
Première soumission
Première soumission répondant aux critères de contrôle qualité
Première publication (Réel)
Mises à jour des dossiers d'étude
Dernière mise à jour publiée (Réel)
Dernière mise à jour soumise répondant aux critères de contrôle qualité
Dernière vérification
Plus d'information
Termes liés à cette étude
Termes MeSH pertinents supplémentaires
Autres numéros d'identification d'étude
- UoK1117A
Plan pour les données individuelles des participants (IPD)
Prévoyez-vous de partager les données individuelles des participants (DPI) ?
Informations sur les médicaments et les dispositifs, documents d'étude
Étudie un produit pharmaceutique réglementé par la FDA américaine
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