The study utilizes investigational software, the SPARK Test, with an FDA-cleared electroencephalography (EEG) amplifier and EEG cap to collect and patient EEG data.
The aim of this study is to collect data to support development of an algorithm to determine whether applying machine-learning techniques to eyes open/eyes closed resting-state electroencephalography (EEG) can characterize patient's cognitive status and detect the presence or absence of AD on the basis of the patient's EEG.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
DIAGNOSTIC
Masking
NONE
Enrollment
185
Thirty (30) minutes of resting state EEG data collection.
Island Psych
Loma Linda, California, United States
CenExel Rocky Mountain
Englewood, Colorado, United States
Renstar Medical
Ocala, Florida, United States
Arcturus Healthcare PLC, Troy - Internal Medicine Division
Troy, Michigan, United States
EEG Data collection for AI software development
Rate of complete software collection per enrolled subjects complete a SPARK Test recording.
Time frame: During the diagnostic procedure
This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.
Alivation Health
Lincoln, Nebraska, United States
Advanced Neuro
El Paso, Texas, United States
Integrated Neurology
Falls Church, Virginia, United States