US 10,869,614 B2Granted

System for performing histogram analysis of the time-based capnography signals and method of operation thereof

AssigneeKoninklijke Philips N.V.

InventorsJoseph Allen Orr, Lara Marie Brewer

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Abstract

A gas concentration monitoring system (100, 600) may include a processor (110, 610) configured to detect a concentration of a selected gas in a sample gas flow obtained from a physical interface (107) to a patient (101); form a dataset including a plurality of data points, each data point corresponding to the detected concentration of the selected gas within the sample gas flow during a sampling time; group the data points according to a frequency of occurrence of the data points within the sampling time; and/or determine at least one of a signal confidence and signal quality based on relative characteristics between the groups of data points.

Claims20

Dependent claims

A gas concentration monitoring system, comprising:

a sensor;
a rendering device;
a processor coupled to the sensor and the rendering device, where the processor is configured to:
receive sensor information from the sensor;
determine a concentration of a selected gas from the sensor information that is received by the processor for a sample gas flow obtained from a physical interface to a patient;
form a dataset comprising data points, each data point of the data points corresponding to the determined concentration of the selected gas within the sample gas flow at a given time during a sampling time interval, wherein the sampling time Interval encompasses a plurality of breaths including inspiratory and expiratory breaths;
group the data points to form groups of data points according to a frequency of occurrence of the data points within the sampling time interval, wherein the groups of data points are formed irrespective of when a given data point of the data points occurs within the sampling time interval;
determine at least one of a signal confidence and signal quality for the sampling time interval based on relative characteristics between the groups of data points;
and
render on the rendering device the determined at least one of the signal confidence and the signal quality.

7 more elements

A method of monitoring capnography signals comprising acts of:

determining, using a processor, a concentration of a selected gas in a sample gas flow obtained from a physical interface to a patient;
forming, using the processor, a dataset comprising data points, each data point of the data points corresponding to the determined concentration of the selected gas within the sample gas flow at a given time during a sampling time interval;
grouping, using the processor, the data points to form groups of data points according to a frequency of occurrence of the data points within the sampling time Interval, wherein the groups of data points are formed Irrespective of when a given data point of the data points occurs within the sampling time Interval;
determining, using the processor, at least one of a signal confidence and signal quality for the sampling time interval based on relative characteristics between the groups of data points;
and
rendering, using a rendering device, the determined at least one of the signal confidence and the signal quality.

3 more elements

A computer readable non-transitory medium having computer readable program code for causing a data processing device to perform a method of monitoring capnography signals, the method comprising acts of:

determining a concentration of a selected gas from sensor information for a sample gas flow obtained from a physical interface to a patient;
forming a dataset comprising data points, each data point corresponding to the determined concentration of the selected gas within the sample gas flow at a given time during a sampling time interval;
grouping the data points to form groups of data points according to a frequency of occurrence of the data points within the sampling time interval, wherein the groups of data points are formed irrespective of when a given data point of the data points occurs within the sampling time interval;
determining at least one of a signal confidence and signal quality for the sampling time based on relative characteristics between the groups of data points;
and
initiating a rendering on a rendering device of the determined at least one of the signal confidence and the signal quality.

3 more elements

Dependencies are inferred from the claim text.

Facts

Application: 15/540,151Filed 16 Dec 2015 · us provisional application
Priority: 31 Dec 2014
Published: US 2017/0367620 A128 Dec 2017
Granted: 22 Dec 2020
Term ends: Not estimatedThe source records don’t support an estimate.

Classification5 codes

A61B 5/0836
Measuring rate of metabolism by using breath test, e.g. measuring rate of oxygen consumption: measuring rate of CO2 production
A61B 5/7221
Signal processing specially adapted for physiological signals or for diagnostic purposes: determining signal validity, reliability or quality
G06F 3/01
Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for…: input…
A61B
Medical diagnosis and surgery

Family

Application62/098,367Us provisional application · filed 31 Dec 2014
US 2017/0367620 A1Pre-grant publication · published 28 Dec 2017
US 10,869,614 B2This patent

From the US filing history. Foreign family members aren’t listed.

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