IMPROVED CLASSIFICATION PERFORMANCE OF EEG-FNIRS MULTIMODAL BRAIN-COMPUTER INTERFACE BASED ON MULTI-DOMAIN FEATURES AND MULTI-LEVEL PROGRESSIVE LEARNING

Improved classification performance of EEG-fNIRS multimodal brain-computer interface based on multi-domain features and multi-level progressive learning

Electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) have potentially complementary characteristics that reflect the electrical and hemodynamic characteristics of neural responses, so EEG-fNIRS-based hybrid brain-computer interface (BCI) is the research hotspots in recent years.However, current studies lack a comprehensive

read more



FGF2 overrides key pro-fibrotic features of bone marrow stromal cells isolated from Modic type 1 change patients

Extensive extracellular matrix production and increased cell-matrix adhesion by bone marrow stromal cells (BMSCs) are hallmarks of fibrotic alterations in the vertebral bone marrow known as Modic type 1 changes (MC1).MC1 are associated with non-specific chronic low-back pain.To identify treatment targets for MC1, in vitro studies using patient BMSC

read more