METHODS AND SYSTEMS FOR NON-INVASIVE, INTERNAL HEMORRHAGE DETECTION
First Claim
1. A method for non-invasively detecting internal hemorrhaging in a person, comprising the steps of:
- measuring a plurality of physiological conditions associated with a person to generate a plurality of physiological measurements; and
processing the plurality of physiological measurements using a real-time decision algorithm to determine if the person has internal hemorrhaging and, if so, internal hemorrhaging severity.
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Abstract
Methods and systems for detecting internal hemorrhaging in a person are provided. In an exemplary embodiment, one method includes the steps of measuring physiological conditions associated with the person and processing the measured physiological conditions using a probabilistic network to determine if the person has internal hemorrhaging. The method also includes the steps of determining the severity of any internal hemorrhaging by determining the amount of blood lost by the person and classifying this loss as non-specific, mild, moderate, and severe. The physiological measurements include an electrocardiogram, a photoplethysmogram, and oxygen saturation, respiratory, skin temperature, and blood pressure measurements. The probabilistic network included with one system determines whether there is internal hemorrhaging based on a number of factors including a physiological model, medical personnel inputs, transfer function, statistical, and spectral information, short and long term trends, and previous hemorrhage decisions.
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Citations
21 Claims
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1. A method for non-invasively detecting internal hemorrhaging in a person, comprising the steps of:
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measuring a plurality of physiological conditions associated with a person to generate a plurality of physiological measurements; and processing the plurality of physiological measurements using a real-time decision algorithm to determine if the person has internal hemorrhaging and, if so, internal hemorrhaging severity. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A system for detecting and estimating internal hemorrhaging severity in a person, comprising:
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a plurality of physiological sensors for measuring physiological conditions associated with a person; and a real-time probabilistic network connected to the plurality of physiological sensors for detecting if the person has internal hemorrhaging and estimating internal hemorrhaging severity based on the measured physiological conditions associated with the person. - View Dependent Claims (10, 11, 12, 13, 14, 15)
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16. A system for detecting and estimating internal hemorrhaging severity in a person, comprising:
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a plurality of vital sign sensors operative to take physiological measurements from the person; a physiological modeling module, operative to receive the physiological measurements from the plurality of vital sign sensors; a pre-processing module and filtering module, operative to receive the physiological measurements from the plurality of vital sign sensors; a feature extraction module, operative to receive the filtered physiological measurements from the pre-processing and filtering module; and a decision support algorithm, the decision support algorithm comprising a real-time probabilistic network for detecting and estimating the severity of internal hemorrhaging in the person based on the outputs of the physiological modeling module, the pre-processing and filtering module, and the feature extraction module. - View Dependent Claims (17, 18, 19, 20, 21)
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Specification