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Infantile spasms are a type of seizure linked to developmental issues. Unfortunately, they are often misdiagnosed, causing delays in treatment. The purpose of this study is to develop a computer program that can reliably differentiate infantile spasms from similar, yet benign movements in videos. This computer program will learn from videos taken by parents of study participants. Quickly recognizing and treating infantile spasms is crucial for ensuring the best developmental outcomes.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| 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). |
| |
| 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). |
| |
| Awake and Alert (Negative Class) | Participants exhibiting spontaneous, subtle movements in the awake and alert state. |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Spasm Vision | Device | Machine learning software developed to analyze videos and accurately distinguish infantile spasms from visually similar movements. |
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| Measure | Description | Time Frame |
|---|---|---|
| Model Sensitivity (Recall) | Proportion of true positives which the model classified correctly in the test dataset. | 2 years |
| Model Specificity | Proportion of true negatives which the model classified correctly in the test dataset. | 2 years |
| Model Positive Predictive Value (Precision) | Proportion of positive classifications which were correct in the test dataset. | 2 years |
| Model Negative Predictive Value | Proportion of negative classifications which were correct in the test dataset. | 2 years |
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Inclusion Criteria:
Exclusion Criteria:
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Participants will be recruited from the outpatient and inpatient settings of Johns Hopkins Hospital, an academic medical center located in Baltimore, Maryland offering tertiary and quaternary care.
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| Name | Affiliation | Role |
|---|---|---|
| Eric Kossoff, MD | Johns Hopkins Neurology | Principal Investigator |
| Rama Chellappa, PhD | Johns Hopkins Biomedical Engineering | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Johns Hopkins Hospital | Baltimore | Maryland | 21287 | United States |
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| ID | Term |
|---|---|
| D013036 | Spasms, Infantile |
| D012640 | Seizures |
| D004827 | Epilepsy |
| ID | Term |
|---|---|
| D004829 | Epilepsy, Generalized |
| D001927 | Brain Diseases |
| D002493 | Central Nervous System Diseases |
| D009422 | Nervous System Diseases |
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| D000073376 | Epileptic Syndromes |
| D009461 | Neurologic Manifestations |
| D012816 | Signs and Symptoms |
| D013568 | Pathological Conditions, Signs and Symptoms |