US2018000427A1PendingUtilityA1
Respiratory apparatus with improved flow-flattening detection
Est. expiryAug 29, 2020(expired)· nominal 20-yr term from priority
Inventors:Peter John Deacon Wickham
A61M 16/0069A61B 5/7282A61M 16/06A61B 5/7278A61M 2016/0039A61M 16/0066A61B 5/4818A61M 16/024A61B 5/087A61B 5/085A61M 16/00
61
PatentIndex Score
0
Cited by
0
References
0
Claims
Abstract
In a respiratory apparatus for treatment of sleep apnea and other disorders associated with an obstruction of a patient's airway and which uses an airflow signal, an obstruction index is generated which detects the flattening of the inspiratory portion of the airflow. The obstruction index is used to differentiate normal and obstructed breathing. The obstruction index is based upon different weighting factors applied to sections of the airflow signal thereby improving sensitivity to various types of respiration obstructions.
Claims
exact text as granted — not AI-modified1 . A method for determining the presence of a respiratory obstruction with a processor, the method comprising:
accessing data samples from a signal generated by a sensor configured to detect flow, the data samples representing an inspiratory portion of a respiratory cycle; and generating an obstruction signal in an obstruction detector of the processor when the data samples have, as a function of time, an abnormally wide initial positive lobe preceding a relatively flat portion.
2 . The method of claim 1 , wherein at least some of the data samples are successive.
3 . The method of claim 1 , wherein at least some of the data samples are in regular intervals.
4 . The method of claim 1 , wherein magnitudes and positions of the respective positive lobes are assessed against a mean inspiration flow and a mid-inspiration point of the respective inspiration cycle.
5 . A method of a processor for determining the presence of a respiratory obstruction, the method comprising:
accessing data samples from a signal generated by a sensor configured to detect flow, the data samples representing breath data; and generating an obstruction signal in an obstruction detector with the processor when at least one breathing cycle in the data samples has, during an inspiratory portion, an abnormally wide initial positive lobe preceding a relatively flat portion.
6 . The method of claim 5 , wherein at least some of the data samples are successive.
7 . The method of claim 5 , wherein at least some of the data samples are in regular intervals.
8 . The method of claim 5 , wherein magnitudes and positions of the respective positive lobes are assessed against a mean inspiration flow and a mid-inspiration point of the respective inspiration cycle.
9 . A method for determining a response for a respiratory obstruction with a processor, the method comprising:
accessing data samples from a signal generated by a sensor configured to detect flow, the data samples representing breath data; detecting at least one breathing cycle in the data samples that has, during an inspiratory portion, an abnormally wide initial positive lobe preceding a relatively flat portion, calculating an obstruction index by assigning different weighting factors to inspiratory flow samples depending on a magnitude of each sample with respect to a mean inspiration flow and a time-wise position of each sample with respect to a mid-inspiration point; and determining a command signal for activating or altering an operation of a respiratory apparatus, based on the calculated obstruction index.
10 . An apparatus for determining the presence of a respiratory obstruction comprising:
a processor configured to: access data samples from a signal generated by a sensor configured to detect flow, the data samples representing an inspiratory portion of a respiratory cycle; and generate an obstruction signal in an obstruction detector of the processor when the data samples have, as a function of time, an abnormally wide initial positive lobe preceding a relatively flat portion.
11 . The apparatus of claim 10 , wherein at least some of the data samples are successive.
12 . The apparatus of claim 10 , wherein at least some of the data samples are in regular intervals.
13 . The apparatus of claim 10 , wherein magnitudes and positions of the respective positive lobes are assessed against a mean inspiration flow and a mid-inspiration point of the respective inspiration cycle.
14 . An apparatus for determining the presence of a respiratory obstruction, the apparatus comprising:
a processor configured to: access data samples from a signal generated by a sensor configured to detect flow, the data samples representing breath data; and generate an obstruction signal in an obstruction detector with the processor when at least one breathing cycle in the data samples has, during an inspiratory portion, an abnormally wide initial positive lobe preceding a relatively flat portion.
15 . The apparatus of claim 14 , wherein at least some of the data samples are successive.
16 . The apparatus of claim 14 , wherein at least some of the data samples are in regular intervals.
17 . The apparatus of claim 14 , wherein magnitudes and positions of the respective positive lobes are assessed against a mean inspiration flow and a mid-inspiration point of the respective inspiration cycle.
18 . An apparatus for determining a response for a respiratory obstruction, the apparatus comprising:
a processor configured to: access data samples from a signal generated by a sensor configured to detect flow, the data samples representing breath data; detect at least one breathing cycle in the data samples that has, during an inspiratory portion, an abnormally wide initial positive lobe preceding a relatively flat portion, calculate an obstruction index by assigning different weighting factors to inspiratory flow samples depending on a magnitude of each sample with respect to a mean inspiration flow and a time-wise position of each sample with respect to a mid-inspiration point; and determine a command signal for activating or altering an operation of a respiratory apparatus, based on the calculated obstruction index.Cited by (0)
No later patents cite this yet.
References (0)
No backward citations on record.