Apparatus and method for inferring stroke volume variation based on central venous pressure waveform
AssigneeSeoul National University Hospital
InventorsInsun PARK, Jae Hyon PARK
Life of this patent
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Abstract
A stroke volume variation inference apparatus according to an embodiment comprises a memory for storing at least one instruction; and a processor, wherein as the at least one instruction is executed by the processor, central venous pressure (CVP) waveform information is obtained from a catheter inserted into a patient's body, and the central venous pressure waveform information is provided to a pre-trained inference model configured to infer stroke volume variation (SVV) in the heart, such that information about the stroke volume variation for the patient is obtained.
Claims13
A stroke volume variation inference apparatus, comprising:
- a memory storing at least one instruction;
- and
- a processor,
- wherein as the at least one instruction is executed by the processor, the processor is configured to:
- obtain central venous pressure (CVP) waveform information from a catheter inserted into a patient's body, and
- obtain by providing the central venous pressure waveform information to a pre-trained inference model configured to infer stroke volume variation (SVV) in a heart, such that information about the stroke volume variation for the patient.
A stroke volume variation inference method to be performed by a stroke volume variation inference apparatus, the method comprising:
- obtaining central venous pressure (CVP) waveform information from a catheter inserted into a patient's body;
- and
- obtaining information about stroke volume variation for the patient by providing the central venous pressure waveform information to a pre-trained inference model configured to infer stroke volume variation (SVV) in the heart.
A non-transitory computer-readable storage medium storing a computer program,
- wherein the computer program is programmed to perform a method comprising:
- obtaining central venous pressure (CVP) waveform information from a catheter inserted into a patient's body;
- and
- obtaining information about stroke volume variation for the patient by providing the central venous pressure waveform information to a pre-trained inference model configured to infer stroke volume variation (SVV) in the heart.
Dependencies are inferred from the claim text.