https://www.selleckchem.com/products/sgi-1027.html
Early diagnosis of Alzheimer's disease (AD) is essential in preventing its progression to dementia. Mild cognitive impairment (MCI) can be indicative of early-stage AD. In this study, we propose a channel-wise feature extraction method of functional near-infrared spectroscopy (fNIRS) data to diagnose MCI when performing cognitive tasks, including two-back, Stroop, and semantic verbal fluency tasks (SVFT). A new channel-wise feature extraction method is proposed as follows A region-of-interest (ROI) channel is defined as such channel ha
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