Method and system for detection of respiratory variation in plethysmographic oximetry
First Claim
1. A system comprising:
- a 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 the first waveform and detecting an abnormality indicative of pulsus paradoxus in the pattern, andwherein detecting the abnormality comprises determining a value from the pattern based on an average offset of wave bases of the second waveform from a baseline and an average amplitude of wave peaks of the second waveform from a best-fit line to the wave bases.
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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.
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Citations
8 Claims
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1. A system comprising:
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a 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 the first waveform and detecting an abnormality indicative of pulsus paradoxus in the pattern, and wherein detecting the abnormality comprises determining a value from the pattern based on an average offset of wave bases of the second waveform from a baseline and an average amplitude of wave peaks of the second waveform from a best-fit line to the wave bases. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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Specification