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US 8,573,207 B2Granted
Method and system to detect respiratory asynchrony
AssigneeGuillermo Gutierrez
InventorGuillermo Gutierrez
Life of this patent
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Abstract
A noninvasive of detecting patient-ventilator asynchrony that is easily adaptable to existing ventilator monitoring systems and provides timely and actionable information on the degree of patient asynchrony both during invasive and non-invasive ventilation. Display of, frequency spectra and the use of a measure of spectral organization, such as H1/DC, allows for both manual and automatic adjustment of a ventilators to prevent or correct patient-ventilator asynchrony.
Claims16
A method of detecting patient-ventilator asynchrony comprising:
- obtaining, by at least one processor, a flow or pressure signal representative of respiratory movement of a patient on ventilatory support of a mechanical ventilator, captured by at least one respiratory sensor;
- modifying, by the at least one processor, the flow or pressure signal comprising:
- taking at least a portion of the flow or pressure signal;
- and
- transforming said at least said portion of the flow or pressure signal in accordance with a Fourier transform to obtain a frequency spectrum of said at least said portion of the flow or pressure signal;
- obtaining, by the at least one processor, a measure of spectral organization wherein said spectral organization comprises a spectral pattern of recurrent peaks of the obtained frequency spectrum;
- wherein said obtaining the measure of spectral organization comprises:
- obtaining, by the at least one processor, a ratio of a harmonic peak amplitude to an amplitude of a direct current (DC) component of said at least said portion of the flow or pressure signal,
- said obtaining said ratio comprising:
- dividing, by the at least one processor, the harmonic peak amplitude, by the amplitude of the DC component of said at least said portion of the flow or pressure signal;
- and
- providing, by the at least one processor, at least one of an output, or an output signal representative of the measure.
9 more elements
A system for detecting patient-ventilator asynchrony comprising:
- at least one sensor operatively coupled to an air output of a mechanical ventilator for providing a sensor output representative of a characteristic of the output flow or pressure;
- at least one data acquisition unit operatively coupled to said at least one sensor to collect time dependent data representative of the sensor output flow or pressure to obtain a time dependent signal representative of respiratory movement of a patient;
- at least one processor operatively coupled to said at least one data acquisition unit,
- wherein said at least one processor is adapted to:
- take at least a portion of the flow or pressure,
- transform said at least said portion of the flow or pressure comprising wherein said at least one processor is adapted to:
- perform a Fourier transform of the collected time dependent data to determine a measure of spectral organization of the transformation of the collected time dependent data,
- wherein to determine the measure of spectral organization of the transformation comprises wherein said at least one processor is adapted to:
- determine a ratio of a harmonic peak amplitude to an amplitude of a direct current (DC) component of said at least said portion of the flow or pressure of the measure of spectral organization of the transformation of the collected time dependent data, and
- wherein said at least one processor is adapted to:
- provide, or output data indicative of a signal representative of the measure of spectral organization.
8 more elements
A method of detecting patient-ventilator asynchrony comprising:
- obtaining, by at least one processor, a flow or pressure signal representative of respiratory movement of a patient on ventilatory support of a mechanical ventilator, captured by at least one respiratory sensor;
- modifying, by the at least one processor, the flow or pressure signal comprising:
- taking at least a portion of the flow or pressure signal;
- and
- transforming said at least said portion of the flow or pressure signal in accordance with a Fourier transform to obtain a frequency spectrum of said at least said portion of the flow or pressure signal;
- obtaining, by the at least one processor, a measure of spectral organization wherein said spectral organization comprises a spectral pattern of recurrent peaks of the obtained frequency spectrum;
- wherein said obtaining the measure of spectral organization comprises:
- obtaining, by the at least one processor, a ratio of a harmonic peak amplitude to an amplitude of a direct current (DC) component of said at least said portion of the flow or pressure signal,
- wherein said obtaining said ratio comprises:
- dividing, by the at least one processor, the harmonic peak amplitude, by the amplitude of the DC component of said at least said portion of the flow or pressure signal;
- providing, by the at least one processor, at least one of an output, or an output signal representative of the measure,
- wherein said providing further comprises at least one of:
- providing at least one of an alert or an indication to adjust sedation;
- providing at least one of an alert or an indication to adjust use of at least one paralytic agent;
- providing at least one of an alert or an indication to adjust ventilatory support;
- providing at least one of an alert or indication to adjust a dose of sedative;
- providing at least one of an alert or indication to discontinue sedation;
- providing at least one of an alert or indication to increase sedation;
- providing at least one of an alert or indication to decrease sedation;
- providing at least one of an alert or indication to adjust a neuromuscular blocking therapeutic measure;
- providing at least one of an alert or indication to adjust a paralytic agent;
- or
- providing at least one of an alert or indication to adjust the mechanical ventilator.
20 more elements
Dependencies are inferred from the claim text.