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View article: A Real-Time Machine Learning Module for Motion Artifact Detection in fNIRS
A Real-Time Machine Learning Module for Motion Artifact Detection in fNIRS Open
Functional Near-Infrared Spectroscopy (fNIRS) is a neuroimaging method which can be implemented with a wearable form factor. However, the data of fNIRS can be
\naffected by motion artifact, which is conventionally processed
\noffline using…
View article: An Ultralow-Power Real-Time Machine Learning Based fNIRS Motion Artifacts Detection
An Ultralow-Power Real-Time Machine Learning Based fNIRS Motion Artifacts Detection Open
Due to iterative matrix multiplications or gradient computations, machine learning modules often require a large amount of processing power and memory. As a result, they are often not feasible for use in wearable devices, which have limite…