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US 2025/0099704 A1Published application
Clinical decision support system for patient-ventilator asynchrony detection and management
OwnerBehnood Gholami, Timothy S. Phaninventors
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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.
Claims18
A system for detecting patient-ventilator interaction comprising:
- a communication module comprising computer-executable instructions stored on a non-transitory computer-readable storage medium in operable communication with one or more computer processors, the communication module configured for acquiring mechanical ventilator airway pressure and flow waveform data;
- and
- a patient-ventilator interaction indicator module in operable communication with the communication 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) 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;
- b) extracting a set of features from said patient-ventilator interaction indicator waveform;
- and
- c) determining and indicating a type of patient-ventilator asynchrony present, or absence thereof, associated with one or more breath cycles, which patient-ventilator asynchrony or absence thereof is based on the extracted set of features.
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Dependencies are inferred from the claim text.