Konya Journal of Engineering Sciences
STATISTICAL FEATURES ANALYSIS OF EEG DATA FOR ALS DIAGNOSIS USING MACHINE LEARNING ALGORITHMS
Amyotrophic Lateral Sclerosis (ALS) is a progressive neurological disease resulting from the dysfunction of motor neurons, making early diagnosis difficult due to the slow progression of clinical symptoms. Early diagnosis is crucial to improving the patient's lifespan and quality of life. Electroencephalography (EEG) signals can be recorded non-invasively and at low cost, making them promising biomarkers for ALS diagnosis. Despite the promising results reported in previous EEG-based ALS diagnosis studies, many exis …