A multi-modal physiological assessment device and method enables the simultaneous recording and then subsequent analysis of multiple data streams of biological signal measurements to assess the health and function of the brain. Means and methods are provided to identify and leverage artifact samples within ID and 2D bio signal data streams to help create more accurate predictors and classifiers of brain health states and conditions. One sensor's data is used to gate the relevant portion of another bio sensor's data in order to reduce the noise and increase the signal-to-noise ratio. This is a form of phase locking for multimodal data streams for brain health assessment.
ARTIFACT AS A FEATURE IN NEURO DIAGNOSTICS