Artificial Intelligence-based Video Analysis to Detect Infantile Spasms
NCT ID: NCT06315829
Last Updated: 2025-08-19
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.
RECRUITING
200 participants
OBSERVATIONAL
2024-08-26
2026-05-31
Brief Summary
Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.
Related Clinical Trials
Explore similar clinical trials based on study characteristics and research focus.
Use of Real-Time Functional Magnetic Resonance Imaging Neurofeedback to Improve Motor Function in Cerebellar Ataxia
NCT05436249
Using Real-time fMRI Neurofeedback and Motor Imagery to Enhance Motor Timing and Precision in Cerebellar Ataxia
NCT05436262
Treatment of Gait Disorders in Children With Dravet Syndrome
NCT03857451
Physiologic Studies of Spasticity
NCT00014976
Quantifying Motor Network Dynamics to Predict and Enhance Outcomes in Pediatric Dystonia
NCT07325175
Detailed Description
Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.
Conditions
See the medical conditions and disease areas that this research is targeting or investigating.
Study Design
Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.
OTHER
PROSPECTIVE
Study Groups
Review each arm or cohort in the study, along with the interventions and objectives associated with them.
Confirmed Epileptic Spasms (Positive Class)
Participants diagnosed with infantile spasms based upon historical data and supportive electroencephalography data (i.e. hypsarrhythmia or modified hypsarrhythmia background).
Spasm Vision
Machine learning software developed to analyze videos and accurately distinguish infantile spasms from visually similar movements.
Epileptic Spasm Mimics (Negative Class)
Participants diagnosed with non-epileptic movements (e.g. Sandifer syndrome, shuddering attacks, stretching, stereotypy, startle reflex, writhing movements, jitteriness, sleep myoclonus) based upon historical data and supportive electroencephalography data (when available).
Spasm Vision
Machine learning software developed to analyze videos and accurately distinguish infantile spasms from visually similar movements.
Awake and Alert (Negative Class)
Participants exhibiting spontaneous, subtle movements in the awake and alert state.
Spasm Vision
Machine learning software developed to analyze videos and accurately distinguish infantile spasms from visually similar movements.
Interventions
Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.
Spasm Vision
Machine learning software developed to analyze videos and accurately distinguish infantile spasms from visually similar movements.
Eligibility Criteria
Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.
Inclusion Criteria
* Participant evaluated in the Johns Hopkins Outpatient Center, Johns Hopkins Pediatric Emergency Department or Johns Hopkins Inpatient Units due to spells of abnormal movement or seizure
* Participant evaluated by a pediatric neurologist during the outpatient or inpatient visit at Johns Hopkins Hospital
* At least one video recording of the spell of abnormal movement produced by the parent/guardian available for provider review
Exclusion Criteria
* Entire patient is not in frame
2 Years
ALL
No
Sponsors
Meet the organizations funding or collaborating on the study and learn about their roles.
Johns Hopkins University
OTHER
Responsible Party
Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.
Principal Investigators
Learn about the lead researchers overseeing the trial and their institutional affiliations.
Eric Kossoff, MD
Role: PRINCIPAL_INVESTIGATOR
Johns Hopkins Neurology
Rama Chellappa, PhD
Role: PRINCIPAL_INVESTIGATOR
Johns Hopkins Biomedical Engineering
Locations
Explore where the study is taking place and check the recruitment status at each participating site.
Johns Hopkins Hospital
Baltimore, Maryland, United States
Countries
Review the countries where the study has at least one active or historical site.
Central Contacts
Reach out to these primary contacts for questions about participation or study logistics.
Facility Contacts
Find local site contact details for specific facilities participating in the trial.
Other Identifiers
Review additional registry numbers or institutional identifiers associated with this trial.
IRB00429753
Identifier Type: -
Identifier Source: org_study_id
More Related Trials
Additional clinical trials that may be relevant based on similarity analysis.