Abstract: A method of creating a non-invasive predictor of both physiologic and imposed patient effort from airway pressure and flow sensors attached to the patient using an adaptive mathematical model. The patient effort is commonly measured via work of breathing, power of breathing, or pressure-time product of esophageal pressure and is important for properly adjusting ventilatory support for spontaneously breathing patients. The method of calculating this non-invasive predictor is based on linear or non-linear calculations using multiple parameters derived from the above-mentioned sensors.

Abstract: A system and method for detecting, monitoring and analyzing physiological characteristics. Signals from a subject are acquired from a suite of sensors, such as temperature, carbon dioxide, humidity, light, movement, electromagnetic and vibration sensors, in a passive, non-invasive manner. The signals are processed, and physiological characteristics are isolated for analysis. The system and method are to analyze sleep patterns, as well as to prevent bed sores or detect conditions such as illness, restless leg syndrome, periodic leg movement, sleep walking, or sleep apnea. However, numerous other applications of the invention are also disclosed.

Abstract: An embodiment of a method of predicting maternal hypertension during pregnancy is disclosed. The method may include measuring a maternal blood velocity waveform and measuring a fetal blood velocity waveform. The method may further include the calculation of a coherence value using a magnitude-squared coherence function between the maternal and fetal blood velocity waveforms and comparing the coherence value to a predetermined threshold value.

Abstract: A method and system for eliminating artifacts in an oscillation envelope are disclosed. The method and system comprise evaluating conformance of the oscillometric envelope blood pressure data with a predetermined expected pattern and excluding one or more data points of the oscillometric envelope blood pressure data based on non-conformance with the expected pattern. The expected pattern is based upon generally known physiological principles relating to oscillometric envelopes, a curve fit representing an oscillometric envelope from a previous determination, or other types of criteria.

Abstract: The invention relates to a method and an apparatus to identify alveolar opening and collapse of a lung. To automatically generate the settings of ventilator parameters in a simple and gentle way, the hemoglobin oxygen saturation and/or the endtidal CO2 concentration and/or the CO2 output are-measured and processing to detect alveolar opening and closing. From the knowledge of the corresponding airway pressures, a central processing unit may generate the settings of ventilation parameters such that gas exchange is maximal while the mechanical stress of the lung tissue is minimal.