The purpose of this study is to compare hemodynamic information from localized brain regions between stroke patients and healthy adults using brain activity data (fNIRS and EEG) and to assess the accuracy of early stroke diagnosis and classification predictions.
Adults aged between 19 and 80 years.
Diagnosed with hemorrhagic stroke through clinical observation and neuroimaging.
First-time hemorrhagic stroke patients.
Hemorrhagic stroke onset between 2 weeks and 12 months prior to screening.
History of head trauma in the past 6 months.
Ongoing severe chronic diseases (e.g., heart failure, chronic kidney disease, chronic lung disease).
Severe psychiatric disorders such as schizophrenia, major depression, or bipolar disorder.
Use of medications that could influence brain hemodynamics (e.g., antihypertensives, anticoagulants, antiplatelets, or antidepressants).
Hemorrhagic stroke patients, ischemic stroke patients, and healthy adults
Case-crossover
Prospective
Measurement of brain activity (fNIRS, EEG)
DeviceBrain activity assessments are conducted as a single session lasting approximately 60 minutes
Electroencephalography (EEG) signals
Brainwaves are electrical currents generated when signals are transmitted between neurons in the nervous system. They vary depending on the mental and physical state of an individual and serve as one of the most critical indicators for measuring brain activity. Brainwaves can be recorded using devices such as electroencephalography (EEG), and in some cases, electrodes may be attached directly to the cortex. These devices are used to evaluate conditions such as brain damage, epilepsy, or other neurological disorders, as well as to legally determine brain death.
Functional Near-Infrared Spectroscopy(fNIRS) signals
The near-infrared spectrum between 800 nm and 2500 nm is commonly used to measure changes in reflectance, absorbance, and scattering coefficients associated with specific processes involving molecules or ions. This allows for the assessment of parameters such as oxygen saturation, blood flow, glucose levels, and energy metabolism in the bloodstream by analyzing changes in the distribution of oxyhemoglobin and deoxyhemoglobin in areas like the fingers, wrists, and brain blood flow. In this study, it is specifically utilized to measure oxygen saturation in brain blood flow.
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