Abstract: Systems, devices and methods are described for physiological monitoring, for example monitoring EEG signals to detect the onset or probability of adverse events. The systems, devices and methods discussed herein may monitor received EEG signals to identify trends or patterns in the signal that are either indicative of ongoing seizures or indicative of a future risk of seizure. The systems, devices and methods provide the user with increased control and flexibility in the monitoring processes that produce the alerts. In particular, in some implementations the physician is able to make adjustments during monitoring and customize the process by which EEG data is displayed and analyzed during the patient monitoring without pausing the monitoring to make the adjustments.

Abstract: Methods and systems are disclosed for a guidance application that allows a practitioner to easily correlate a fluctuation in any channel of a plurality of channels constituting received electroencephalography (“EEG”) data to a particular physical manifestation. For example, the guidance application automatically synchronizes incoming EEG data to the physical manifestations and allows for automatic retrieval a portion of video data (e.g., of the physical manifestation) that corresponds to a selected portion of EEG data.

Abstract: Methods and systems are disclosed for a guidance application that allows a practitioner to easily correlate a fluctuation in any channel of a plurality of channels constituting received electroencephalography (“EEG”) data to a particular physical manifestation. For example, the guidance application automatically synchronizes incoming EEG data to the physical manifestations and allows for automatic retrieval a portion of video data (e.g., of the physical manifestation) that corresponds to a selected portion of EEG data.

Abstract: Systems, devices and methods are described for physiological monitoring, for example monitoring EEG signals to detect the onset or probability of adverse events. The systems, devices and methods discussed herein may monitor received EEG signals to identify trends or patterns in the signal that are either indicative of ongoing seizures or indicative of a future risk of seizure. The systems, devices and methods provide the user with increased control and flexibility in the monitoring processes that produce the alerts. In particular, in some implementations the physician is able to make adjustments during monitoring and customize the process by which EEG data is displayed and analyzed during the patient monitoring without pausing the monitoring to make the adjustments.