WebApr 4, 2024 · Machine learning is used to better interpret the complexity of pain by revealing patterns in clinical and experimental data, and by obtaining usable information … WebEach fNIR system provides real-time monitoring of tissue oxygenation in the brain as subjects take tests, perform tasks, or receive stimulation, allowing researchers to quantitatively assess brain functions—such as attention, memory, planning, and problem solving—while individuals perform cognitive tasks. fNIR devices provide relative change …
Objective Tinnitus Measurement via fNIRS and Machine Learning
Using functional near-infrared spectroscopy (fNIRS), we measured brain cortex activation of participants with higher and lower depressive tendencies while performing a left-right paradigm of object mental rotation or a same-different paradigm of subject mental rotation. See more Individuals with depression have difficulties in emotion and cognition, presenting depressive mood for more than 2 weeks, being anhedonia, being bias toward negative information, an inhibition disorder to … See more This experiment investigated the difference in activation areas recruited mirror movement in object mirror mental rotation between different depressive tendencies. See more This research mainly found a higher deactivation of changes of oxygenated hemoglobin (HbO) for higher depressive tendency participants … See more This experiment investigated the difference in activation areas recruited mirror movement in subject mental rotation between different depressive tendencies. See more green drop purple heart address
Yuanyuan Gao Stanford Medicine
WebAug 11, 2024 · A Machine Learning Perspective on fNIRS Signal Quality Control Approaches Abstract: Despite a rise in the use of functional Near Infra-Red … WebShe is now a postdoctoral fellow working at Stanford University for her second term of postdoctoral training on the clinical applications of fNIRS. Her research interests are fNIRS, its multimodels with fMRI, EEG, eye-tracker, physiology measurements, neuromodulation and machine learning models, and its applications in clinical research. WebJun 26, 2024 · In this paper, we made a full decoding performance comparison between the classical machine learning methods and deep learning method on fNIRS-BCI data. greendrop solutions