Abstract: Various methods and systems are provided for cerebral diagnosis. In one example, among others, a method includes obtaining EEG signals from sensors positioned on a subject; conditioning data from the EEG signals to remove artifacts; generating a cerebral network model based at least in part upon the conditioned data; determining network features based upon the cerebral network model; and determining a cerebral condition of the subject based at least in part upon the network features. In another example, a method includes determining a recording condition of a positioned EEG sensor and providing an indication of an unacceptable recording condition of the EEG sensor. In another example, a system includes an EEG recording module to acquire signals; a signal conditioning module to condition signal data; a signal analysis module to determine signal features and cerebral network features; and a condition classification module to determine a cerebral condition of the subject.

Abstract: An aspect of the invention described herein includes a method for a digestion diagnosis of a subject. The method includes obtaining electrogastrogram (EGG), bowel sound and NIRS signals from one or more sensors positioned about an abdominal region of a subject, removing artifacts from the signals to obtain conditioned signal data, and determining a digestion condition or feeding readiness of the subject based at least in part on the conditioned signal data.

Abstract: An aspect of the invention described herein includes a method for a digestion diagnosis of a subject. The method includes obtaining electrogastrogram (EGG), bowel sound and NIRS signals from one or more sensors positioned about an abdominal region of a subject, removing artifacts from the signals to obtain conditioned signal data, and determining a digestion condition or feeding readiness of the subject based at least in part on the conditioned signal data.

Abstract: Various methods and systems are provided for cerebral diagnosis. In one example, among others, a method includes obtaining EEG signals from sensors positioned on a subject; conditioning data from the EEG signals to remove artifacts; generating a cerebral network model based at least in part upon the conditioned data; determining network features based upon the cerebral network model; and determining a cerebral condition of the subject based at least in part upon the network features. In another example, a method includes determining a recording condition of a positioned EEG sensor and providing an indication of an unacceptable recording condition of the EEG sensor. In another example, a system includes an EEG recording module to acquire signals; a signal conditioning module to condition signal data; a signal analysis module to determine signal features and cerebral network features; and a condition classification module to determine a cerebral condition of the subject.