Abstract: A method and system for detection of pulsus paradoxus are provided. In one embodiment, the method includes determining a power spectrum density for a plethysmographic waveform and identifying pulsus paradoxus based on the power spectrum density. The power spectrum density may include a first wave peak indicative of a respiratory rate and a second wave peak indicative of a heart rate. Pulsus paradoxus can be identified by comparing a height of the first wave peak and a height of the second wave peak.

Abstract: A method and system for detection of pulsus paradoxus are provided. In one embodiment, the method includes determining a power spectrum density for a plethysmographic waveform and identifying pulsus paradoxus based on the power spectrum density. The power spectrum density may include a first wave peak indicative of a respiratory rate and a second wave peak indicative of a heart rate. Pulsus paradoxus can be identified by comparing a height of the first wave peak and a height of the second wave peak.

Abstract: A method and system for detection of respiratory variation in pulse oximetry are provided. In one embodiment, the method includes detecting a pattern consistent with a respiratory cycle of a waveform representing cardiac oscillations and identifying an abnormality based on the pattern. A system is further provided including a database and a module. The database to store data representing a physiological condition of a patient over a period of time, wherein the data comprises data corresponding to respiratory activity and data corresponding to cardiac oscillations, wherein the data corresponding to respiratory activity comprises a first waveform and the data corresponding to the cardiac oscillations comprises a second waveform; and a module for detecting a pattern of the second waveform consistent with a cycle of a first waveform and detecting an abnormality in the pattern.

Abstract: A method and system for detection of respiratory variation in pulse oximetry are provided. In one embodiment, the method includes detecting a pattern consistent with a respiratory cycle of a waveform representing cardiac oscillations and identifying an abnormality based on the pattern. A system is further provided including a database and a module. The database to store data representing a physiological condition of a patient over a period of time, wherein the data comprises data corresponding to respiratory activity and data corresponding to cardiac oscillations, wherein the data corresponding to respiratory activity comprises a first waveform and the data corresponding to the cardiac oscillations comprises a second waveform; and a module for detecting a pattern of the second waveform consistent with a cycle of a first waveform and detecting an abnormality in the pattern.

Abstract: A method and system for detection of respiratory variation in pulse oximetry are provided. In one embodiment, the method includes detecting a pattern consistent with a respiratory cycle of a waveform representing cardiac oscillations and identifying an abnormality based on the pattern. The method further includes triggering an alarm in response to identifying an abnormality. A system is further provided including a database and a module.

Abstract: A method and system for automatically detecting pulsus paradoxus. In one embodiment, the method includes automatically detecting pulsus paradoxus based upon a consideration of a blood pressure component, an audio component indicative of Korotkoff sounds and a respiratory component. The system includes a plurality of input modules for determining a blood pressure, a Korotkoff sound and a respiration of a subject. The system further includes a computing device coupled to the input modules for automatically determining a presence of pulsus paradoxus based on the blood pressure, the Korotkoff sound and the respiration of the subject.