Abstract: Systems and methods for sleep stage determination are disclosed. Example systems disclosed herein includes a complexity module operable to measure the complexity of regularities in an EEG channel, and a stager operable to output at least one corresponding sleep stage. Some example systems also include monitoring a subject, and determine the subject may have impairment, Alzheimer's disease, or anesthesia problem that is associated with sleep staging problem.

Abstract: According to some aspects, one or more systems and methods for remote testing and diagnostics of at least one patient. In some embodiments, the system comprises at least one personal recorder, configured to record at least one set of test data during at least one self-applied test; at least one data collection point; and a data center configured to analyze the at least one set of the test data received from the at least one data collection point, and generate at least one report.

Abstract: Systems and methods for sleep stage determination are disclosed. Example systems disclosed herein includes a complexity module operable to measure the complexity of regularities in an EEG channel, and a stager operable to output at least one corresponding sleep stage. Some example systems also include monitoring a subject, and determine the subject may have impairment, Alzheimer's disease, or anesthesia problem that is associated with sleep staging problem.

Abstract: According to some aspects, one or more systems and methods for the diagnosis of a medical condition, such as depression, based on an analysis of sleep information. In some embodiments, the diagnostic system includes at least one recorder for recording sleep information about a patient, and at least one analyzer adapted to analyze the sleep information and determine whether the patient is experiencing the medical condition.

Abstract: A method and system for sleep stage determination is disclosed comprising: acquiring EEG data from two or more EEG electrodes of an electrode arrangement, wherein the EEG data is divided into one or more epochs; detecting graphoelements from the EEG data for each epoch using a graphoelement detector; calculating a differential entropy from the EEG data for each epoch in an entropy module; and assigning a sleep stage to each epoch based on the calculated differential entropy and the detected graphoelements in a classifier module. This new method and system of sleep staging is potentially suited for, but not limited to, unattended sleep diagnostic scenarios.

Abstract: A method and system for sleep stage determination is disclosed comprising: acquiring EEG data from two or more EEG electrodes of an electrode arrangement, wherein the EEG data is divided into one or more epochs; detecting graphoelements from the EEG data for each epoch using a graphoelement detector; calculating an entropy from the EEG data for each epoch in an entropy module; and, assigning a sleep stage to each epoch based on the calculated entropy and the detected graphoelements in a classifier module. This new method and system of sleep staging is potentially suited for, but not limited to, unattended sleep diagnostic scenarios.