Epilepsy Clinical Trial
Official title:
Development of a Practical, Minimally Invasive Seizure Gauge
Verified date | November 2023 |
Source | Mayo Clinic |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Interventional |
The researchers are trying to assess changes in physiological signals before and during seizures.
Status | Completed |
Enrollment | 95 |
Est. completion date | August 5, 2022 |
Est. primary completion date | August 5, 2022 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 7 Years and older |
Eligibility | Inclusion Criteria: - Patients with epilepsy- scalp EEG or invasive EEG monitoring for clinical care, or an implanted device capable of monitoring brain activity and identifying seizures (e.g. NeuroPace RNS, Medtronic PC+S, Medtronic RC+S) - Pediatric subjects 7 years of age or older. Exclusion Criteria: - Cognitive or psychiatric condition rendering patient unable to cooperate with data collection, or manage and recharge smart watch and tablet computer devices. - Presence of open or healing wounds near monitoring sites (infection risk). |
Country | Name | City | State |
---|---|---|---|
United States | Mayo Clinic | Rochester | Minnesota |
Lead Sponsor | Collaborator |
---|---|
Mayo Clinic |
United States,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Assessment of Physiological Signals Measurable with Wearable Sensors | We will collect physiological signals with the five wearable, noninvasive biosensors listed below in Mayo patients undergoing scalp-recorded video EEG and invasive stereotactic EEG/video monitoring as part of their clinical epilepsy evaluation. We will evaluate biosignals based on data quality and reliability, and subject comfort and ease of use. | 2-10 days approximately | |
Primary | Pattern Analysis | We will apply data mining and machine learning methods to search for patterns in the collected physiological signals and correlate these patterns with the timing of seizures identified by the patient's clinical video-EEG monitoring. | 2-10 days approximately |
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