The primary goal of this thesis was to create a low-cost Arduino-based fNIRS system and its use in a variety of clinical settings. While this system was used for several clinical applications, in this ...

Functional near-infrared spectroscopy (fNIRS) can be performed using a portable emitter and detector placed on the scalp near a region of interest in the brain. By emitting and sensing light at ...

Researchers have developed a new method that greatly improves the accuracy of brain-state classification with functional near-infrared spectroscopy (fNIRS). The brain-imaging technique fNIRS allows ...

Multimodal applications combining electroencephalogram (EEG) and functional near-infrared spectroscopy (fNIRS) are widely used in cognitive neuroscience and have progressively been applied to clinical ...

In recent years, several serious traffic accidents have exposed the shortcomings of current autonomous driving systems in making safe decisions ...

Professor Hirshfield’s research explores the use of non-invasive brain measurement to passively classify users’ social, cognitive, and affective states in order to enhance usability testing and ...

Psychiatry faces a core challenge: We treat disorders of the mind with limited windows into real-time brain function. Unlike cardiology’s continuous monitoring (ECG, ultrasound, nuclear imaging), ...