Abstract: A method of detecting, diagnosing and treating Multiple Sclerosis in a patient using ultrasound, and in particular transcranial Doppler ultrasonography. The method of diagnosis or detection involves identifying abnormal ultrasound arterial signals, and may also involve establishing one or more characteristic clinical symptoms of Multiple Sclerosis to enable a diagnosis to be made. The method of treatment may involve ultrasound insonation of the cerebral artery.

Abstract: An algorithm for measuring the breathing of a patient for diagnosing breathing disorders and for controlling a breathing aid device for treating a patient. Sensors record pressure and flow rates of air delivered to a patient. The data is statistically manipulated to find the start of a breath, the end of a breath, the duration of a breath, the shape of a breath, the volume of a breath, the breathing rates, flow rates, snoring index, flattening index, and other useful data to diagnose and treat a patient. The data is used to diagnose the condition of a patient and to control a breathing aide device for treating a patient at the most optimal pressures and flow rates for the patient's condition. Inspiration and expiration data are tracked separately and compared throughout the algorithm as a check the accuracy of the data manipulation by the algorithm.

Abstract: The invention provides a method and apparatus for acquisition and analysis of data that displays a linear relationship or can be transformed into a linearized relationship, such as electrophysiological signal data from sensors such as those suitable for EEG, MEG, ECG and the like. The method, which can be implemented in computer software, includes computing a current density vector field by solving the related unweighted linear inverse problem, pre-processing the current density vector field using an sLORETA transformation, computing a diagonal weighting matrix so that its entries are determined by a monotonically increasing function of their corresponding values in the sLORETA method outputs, and computing the current density vector field by solving the related weighted linear inverse problem. The outputs of the method can be stored in computer files for display on suitable monitors.

Abstract: An apparatus is provided for controlling gas delivery to a patient, to maintain effective respiratory function. The apparatus includes sensors for monitoring one or more physiological variables such as breathing airflow sound, EEG, EOG, ENG, and/or patient position. The apparatus includes a determining component for deriving, from the sensed variables, data representing a respiratory event and a component for determining from the data a gas pressure or modulated gas pressure to counteract tissue vibration associated with the respiratory event, thereby tending to cancel the respiratory event. The determining component may include an algorithm adapted to generate a gas pressure signal substantially 180 degrees out of phase relative to the tissue vibration. The apparatus may include a drug delivery module operable to deliver a drug in accordance with the sensed physiological variable and the determining component.

Abstract: An apparatus for controlling gas delivery to a patient is disclosed, wherein delivery is adapted to maintain a physiological sleep state. The apparatus includes a monitoring device that monitors EEG, EOG, EMG, patient position and patient breathing. The apparatus also contains a microprocessor, which is programmed to derive sleep state specific indicators from the data received by the monitoring device and to determine if the sleep state is in a stable or deteriorating phase, where upon gas pressure will be automatically adjusted to maintain the sleep state if desired. The microprocessor is programmed with a unique automatic sleep staging algorithm and a gas pressure seek algorithm which work together to automatically adjust delivered respiratory gas pressure to a user based upon the determined sleep state and the sleep states condition.