ClinicalTrials.gg
CompletedNCT07911774Updated Nov 3, 2026

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

An interventional study of Edge AI Neurostimulator Controller and Continuous Open-Loop Neurostimulator in Drug Resistant Epilepsy and Focal Epilepsy, sponsored by Lahore Medical and Dental College. Completed at 1 site in Pakistan. Open to participants aged 18 Years to 65 Years. Per ClinicalTrials.gov, last updated 2026-11-03.

Sponsored by Lahore Medical and Dental College · Not applicable, Interventional, and Treatment

From the registry’s dates

  • Registered 3 years 4 months after the study started (first participant enrolled Jun 2023, registered Oct 2026).
Updated Nov 3, 2026Newly registeredGo to Updates ↓
Phase
Not applicable
Study type
Interventional
Enrollment
80
Allocation
Randomized
Ages
18 Years to 65 Years
Sex
All
01

Study summary

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.

Read the detailed description

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.

02

Conditions studied

  • Drug Resistant Epilepsy
  • Focal Epilepsy

Keywords

  • Artificial Intelligence, Edge Computing, Intracranial Electroencephalography, Neurostimulation, Machine Learning, Responsive Neurostimulation
03

In context

Drug Resistant Epilepsy

257 studies on the registry are indexed under Drug Resistant Epilepsy; 108 are open to participants now.

This study's enrollment of 80 is above the median of 30 across 202 interventional studies indexed under Drug Resistant Epilepsy.

Browse Drug Resistant Epilepsy studies →

Lead sponsor

This is the only study on the registry with Lahore Medical and Dental College as lead sponsor.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years to 65 Years
Sexes eligible
All
Accepts healthy volunteers
No

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • Diagnosed with (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

Exclusion Criteria:

  • Diagnosis of primary generalized epilepsy.
  • Progressive neurological disorders.
  • Severe cognitive impairment.
  • Active psychiatric conditions.
  • Previous cranial neurostimulation implants.
  • Medical to surgical implantation or continuous intracortical telemetry.
Terms in these criteria, in plain language(2)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

Relapsed and refractory

Relapsed: the illness came back after treatment had worked. Refractory: it did not respond to treatment, or stopped responding while still on it.

Contraindication

A reason a treatment, test or procedure should not be given to a particular person, such as an allergy, another illness or a medicine they take.

05

Study design

Phase
Not applicable
Primary purpose
Treatment
Allocation
Randomized
Intervention model
Parallel assignment
Masking
Triple (Participant, Care provider, Outcomes assessor)
Enrollment
80 participants (actual)

Study arms

  • Experimental
    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.

    Device: Edge AI Neurostimulator Controller

  • Active comparator
    Standard Continuous Therapy

    Participants received continuous open-loop static neurostimulation delivering fixed-frequency electrical pulses regardless of underlying electrical activity.

    Device: Continuous Open-Loop Neurostimulator

Interventions

  • DeviceEdge AI Neurostimulator Controller

    Hardware-integrated neural processing engine executing real-time feature extraction and pre-ictal spike classification from intracranial EEG, triggering adaptive electrical bursts.

  • DeviceContinuous Open-Loop Neurostimulator

    Static, fixed-frequency continuous open-loop electrical pulse stimulation delivered regardless of underlying electrical activity.

06

What researchers measure

Primary outcomes

  1. Monthly Clinical Focal Seizure Frequency

    Number of clinical focal seizures per month, recorded continuously via automated direct intracortical telemetry logs and verified against daily patient seizure diaries

    Time frame: Baseline and Week 6 (completion of intervention)

Secondary outcomes

  1. Microchip Pre-Ictal Classification Latency

    Local on-hardware signal processing and classification response time measured in milliseconds (ms) from raw intracranial EEG pattern identification to trigger execution.

    Time frame: Continuously across the 6-week intervention

  2. Daily Battery Drain Rate

    Average daily battery consumption rate measured in milliampere-hours per day (mAh/day) from device telemetry logs.

    Time frame: Continuously across the 6-week intervention

  3. Real-Time Microchip Inference Load

    Percentage of microchip processing capacity utilized during real-time on-device machine learning execution.

    Time frame: Continuously across the 6-week intervention

  4. Number of Participants with Adverse Events

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

    Time frame: Throughout the 8-month trial duration

07

Study locations

1 site
  • Tertiary Neurosurgical Referral Hospitals
    Lahore, Punjab Province 54570, Pakistan
08

References and documents

Individual participant data

Plan to share: No

No publications or documents are linked to this record.

09

Timeline

1 registry update since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reachedSimilar studies: half by the dot; the band is the middle halfHalf of similar studies reached it by the dot; the band is the middle half, from a quarter to three quarters

Ran from Jun 2023 to primary completion in Jan 2024, 7 months.

Of 90 non-industry interventional studies with no phase under Drug Resistant Epilepsy, half reached primary completion within 40 months of starting (the median), counting those still running; a quarter within 21. This study's 7 months is below that.

Counting every sponsor, half of 102 studies reached it within 34 months; a quarter within 21 and three quarters within 50.

How these figures are worked out, and which studies are left out of them.

Registered
Oct 28, 2026
First posted
Nov 3, 2026
StartActual
Jun 1, 2023
Primary completionActual
Jan 1, 2024
CompletionActual
Jan 1, 2024
Last update
Nov 3, 2026
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
Registered
First appeared on the registry. No changes since
Nov 3, 2026
Show all 1 update
  1. Nov 3, 2026
    First appeared on the registry

From the registry record's own update history. This site started tracking changes on Sep 25, 2026; for anything earlier, see the record history on ClinicalTrials.gov ↗

10

Registry details

Key details

Study ID
NCT07911774
Lead sponsor
Lahore Medical and Dental College
Responsible party
Hania Aamir (Ammar Khalil, Lahore Medical and Dental College) — Principal investigator
First posted
Nov 3, 2026
Start date
Jun 1, 2023
Primary completion
Jan 1, 2024
Completion
Jan 1, 2024
Last update
Nov 3, 2026

Study contacts

Ammar Khalil
principal investigator · University of Kotli

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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This study is completed, as verified in Oct 2026. You cannot join it, but the record below documents what was studied.

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