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Edge AI Neurostimulation Controllers Versus Continuous Therapy for Drug-Resistant Focal Epilepsy

28. oktober 2026 opdateret af: Hania Aamir, Lahore Medical and Dental College

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.

Studieoversigt

Status

Afsluttet

Betingelser

Intervention / Behandling

Detaljeret beskrivelse

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.

Undersøgelsestype

Interventionel

Tilmelding (Faktiske)

80

Fase

  • Ikke anvendelig

Kontakter og lokationer

Dette afsnit indeholder kontaktoplysninger for dem, der udfører undersøgelsen, og oplysninger om, hvor denne undersøgelse udføres.

Studiesteder

    • Punjab Province
      • Lahore, Punjab Province, Pakistan, 54570
        • Tertiary Neurosurgical Referral Hospitals

Deltagelseskriterier

Forskere leder efter personer, der passer til en bestemt beskrivelse, kaldet berettigelseskriterier. Nogle eksempler på disse kriterier er en persons generelle helbredstilstand eller tidligere behandlinger.

Berettigelseskriterier

Aldre berettiget til at studere

18 år til 65 år (Voksen, Ældre voksen)

Tager imod sunde frivillige

Ingen

Køn, der er berettiget til at studere

Alle

Beskrivelse

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.

Studieplan

Dette afsnit indeholder detaljer om studieplanen, herunder hvordan undersøgelsen er designet, og hvad undersøgelsen måler.

Hvordan er undersøgelsen tilrettelagt?

Design detaljer

  • Primært formål: Behandling
  • Tildeling: Randomiseret
  • Interventionel model: Parallel tildeling
  • Maskning: Tredobbelt

Våben og indgreb

Deltagergruppe / Arm
Intervention / Behandling
Eksperimentel: 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.

Aktiv komparator: 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.

Hvad måler undersøgelsen?

Primære resultatmål

Resultatmål
Foranstaltningsbeskrivelse
Tidsramme
Monthly Clinical Focal Seizure Frequency
Tidsramme: 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)

Sekundære resultatmål

Resultatmål
Foranstaltningsbeskrivelse
Tidsramme
Microchip Pre-Ictal Classification Latency
Tidsramme: 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
Tidsramme: 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
Tidsramme: 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
Tidsramme: Throughout the 8-month trial duration

Hardware-related, surgical, or neurological adverse events documented throughout the trial.

Throughout the 8-month trial duration

Samarbejdspartnere og efterforskere

Det er her, du vil finde personer og organisationer, der er involveret i denne undersøgelse.

Sponsor

Efterforskere

  • Ledende efterforsker: Ammar Khalil, University of Kotli

Datoer for undersøgelser

Disse datoer sporer fremskridtene for indsendelser af undersøgelsesrekord og resumeresultater til ClinicalTrials.gov. Studieregistreringer og rapporterede resultater gennemgås af National Library of Medicine (NLM) for at sikre, at de opfylder specifikke kvalitetskontrolstandarder, før de offentliggøres på den offentlige hjemmeside.

Studer store datoer

Studiestart (Faktiske)

1. juni 2023

Primær færdiggørelse (Faktiske)

1. januar 2024

Studieafslutning (Faktiske)

1. januar 2024

Datoer for studieregistrering

Først indsendt

28. oktober 2026

Først indsendt, der opfyldte QC-kriterier

28. oktober 2026

Først opslået (Faktiske)

3. november 2026

Opdateringer af undersøgelsesjournaler

Sidste opdatering sendt (Faktiske)

3. november 2026

Sidste opdatering indsendt, der opfyldte kvalitetskontrolkriterier

28. oktober 2026

Sidst verificeret

1. oktober 2026

Mere information

Begreber relateret til denne undersøgelse

Andre undersøgelses-id-numre

  • UoK1117A

Plan for individuelle deltagerdata (IPD)

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INGEN

Lægemiddel- og udstyrsoplysninger, undersøgelsesdokumenter

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Disse oplysninger blev hentet direkte fra webstedet clinicaltrials.gov uden ændringer. Hvis du har nogen anmodninger om at ændre, fjerne eller opdatere dine undersøgelsesoplysninger, bedes du kontakte register@clinicaltrials.gov. Så snart en ændring er implementeret på clinicaltrials.gov, vil denne også blive opdateret automatisk på vores hjemmeside .