Abstract: A sleep assessment system includes a housing, processing circuitry, and a sensor assembly with a plurality of sensors configured to capture measurements that include indications of both brain and eye activity through the forehead of a subject. The processing circuitry is configured to receive sensor signals based on the measurements made by the plurality of sensors, process the sensor signals to generate sleep data, apply a sleep state convolutional neural network to the sleep data to determine a current sleep state of a subject, identify, based on the sleep data and the current sleep state, a sleep state-based data feature, and output a stimulus to the subject based on sleep state-based data feature. The housing is configured to be secured to the forehead of the subject, and the sensor assembly and processing circuitry are disposed on or within the housing.

Abstract: A spectroscopy system includes a plurality of light sources, a plurality of detectors, and control circuitry. The control circuitry may be configured to control each light source to output frequency modulated light beams into an object and receive detector-specific data from the detectors. The detector-specific data may be representative of scattered and unabsorbed light resultant from the frequency modulated light beams interacting with the object. The control circuitry may be further configured to determine, for a source-detector link defined by a pairing of a first light source with a first detector, a link phase differential based on received phase information extracted from the detector-specific data for the source-detector link and source phase information of a first frequency modulated light beam from the first light source. Also, the control circuitry may be configured to determine a source-detector link quality metric for the source-detector link based on the link phase differential.