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US 12,194,237 B2Granted
Clinical decision support system for patient-ventilator asynchrony detection and management
AssigneeAutonomous Healthcare, Inc.
InventorsBehnood Gholami, Timothy S. Phan
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Abstract
The present disclosure describes a system that automatically detects patient-ventilator asynchrony and trends in patient-ventilator asynchrony. The present disclosure describes a framework that uses pressure, flow, and volume waveforms to detect patient-ventilator asynchrony and the presence of secretions in the ventilator circuit.
Claims19
A method for indicating patient-ventilator interaction, comprising:
- a) receiving ventilator pressure, flow, and/or volume waveform data relating to a ventilator;
- b) extracting a first feature set from the ventilator pressure, flow, and/or volume waveform data;
- c) determining whether at least one feature is absent from the first feature set, which absence by way of a first classifier and/or labeling algorithm indicates an irregular breath;
- d) generating a patient-ventilator interaction indicator waveform comprising a Delta waveform from said ventilator pressure and flow waveform data, wherein the Delta waveform represents a difference between normalized pressure, after correcting for positive end expiratory pressure (PEEP), and normalized flow waveforms;
- e) extracting a second feature set from the Delta waveform and/or the ventilator pressure, flow, and/or volume waveform data;
- f) determining at least one class and/or label by a second classifier and/or second labeling algorithm based at least on the second feature set;
- and
- g) determining a presence or absence of one or more types of asynchronous patient-ventilator interactions based at least on the at least one class and/or label.
5 more elements
A system for detecting patient-ventilator interaction comprising:
- a detection module comprising computer-executable instructions stored on a non-transitory computer-readable storage medium in operable communication with one or more computer processors, the detection module configured for acquiring mechanical ventilator airway pressure, flow, and/or volume waveform data;
- and
- a patient-ventilator interaction indicator module in operable communication with the detection module, the patient-ventilator interaction indicator module comprising computer-executable instructions stored in a non-transitory computer-readable storage medium in operable communication with the one or more computer processors for:
- a) extracting a first feature set from a ventilator pressure, flow, and/or volume waveform data;
- b) determining whether at least one feature is absent from the first feature set, which absence by way of a first classifier and/or labeling algorithm indicates an irregular breath;
- c) generating a patient-ventilator interaction indicator waveform comprising a Delta waveform from said ventilator pressure and flow waveform data, wherein the Delta waveform represents a difference between normalized pressure, after correcting for positive end expiratory pressure (PEEP), and normalized flow waveforms;
- d) extracting a second feature set from the Delta waveform and/or the ventilator pressure, flow, and/or volume waveform data;
- e) determining at least one class and/or label by a second classifier and/or second labeling algorithm based at least on the second feature set;
- and
- f) determining the presence or absence of one or more types of asynchronous patient-ventilator interactions based at least on the at least one class and/or label.
7 more elements
Dependencies are inferred from the claim text.