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AU2005200987A1 - Determination of Leak and Respiratory Airflow - Google Patents

Determination of Leak and Respiratory Airflow Download PDF

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Publication number
AU2005200987A1
AU2005200987A1 AU2005200987A AU2005200987A AU2005200987A1 AU 2005200987 A1 AU2005200987 A1 AU 2005200987A1 AU 2005200987 A AU2005200987 A AU 2005200987A AU 2005200987 A AU2005200987 A AU 2005200987A AU 2005200987 A1 AU2005200987 A1 AU 2005200987A1
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Australia
Prior art keywords
pressure
mask
conduit
airflow
function
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AU2005200987A
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AU2005200987B2 (en
Inventor
Michael Berthon-Jones
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Resmed Pty Ltd
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Resmed Pty Ltd
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Priority claimed from AU2002306200A external-priority patent/AU2002306200B2/en
Application filed by Resmed Pty Ltd filed Critical Resmed Pty Ltd
Priority to AU2005200987A priority Critical patent/AU2005200987B2/en
Publication of AU2005200987A1 publication Critical patent/AU2005200987A1/en
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Publication of AU2005200987B2 publication Critical patent/AU2005200987B2/en
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  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)

Description

I
Determination of Leak and Respiratory Airflow Field of the Invention 0 The invention relates to methods and apparatus for the determination of leakage OO airflow and true respiratory airflow, particularly during mechanical ventilation.
C The airflow determination can be for a subject who is either spontaneously or Snon-spontaneously breathing, or moves between these breathing states. The invention is C ito especially suitable for, but not limited to, normally conscious and spontaneously breathing human subjects requiring long term ventilatory assistance, particularly during sleep.
Background of the Invention In this specification any reference to a "mask" is to be understood as including all forms of devices for passing breathable gas to a person's airway, including nose masks, nose and mouth masks, nasal prongs/pillows and endotracheal or tracheostomy tubes.
During mechanical ventilation, breathable gas is supplied for example via a mask, at a pressure which is higher during inspiration and lower during expiration. It is useful to measure the subject's respiratory airflow during mechanical ventilation to assess adequacy of treatment, or to control the operation of the ventilator.
Respiratory airflow is commonly measured with a pneumotachograph placed in the gas delivery path between the mask and the ventilator. Leaks between the mask and the subject are unavoidable. The pneumotachograph measures the sum of the respiratory airflow plus the flow through the leak. If the instantaneous flow through the leak is known, the respiratory airflow can be calculated by subtracting the flow through the leak from the flow at the pneumotach.
Known methods to correct for the flow through the leak assume that the leak is substantially constant, and (ii) that over a sufficiently long time, inspiratory and expiratory respiratory airflow will cancel. If these assumptions are met, the average flow rR:\L1BE103885.dnc:edB
I
-2through the pneumotach over a sufficiently long period will equal the magnitude of the leak, and the true respiratory airflow may then be calculated as described.
The known method is only correct if the pressure at the mask is constant. If the 0 mask pressure varies with time (for example, in the case of a ventilator), assumption (i) above will be invalid, and the calculated respiratory airflow will therefore be incorrect.
00 This is shown markedly in Figs. la-I f.
SFig. la shows a trace of measured mask pressure in bi-level CPAP treatment 0 between about 4 cm H 2 0 on expiration and 12 cm H 2 0 on inspiration. Fig. lb shows a
O
trace of true respiratory airflow in synchronism with the mask pressures. At time 21 seconds a mask leak occurs, resulting in a leakage flow from the leak that is a function of the treatment pressure, as shown in Fig. Ic. The measured mask flow shown in Fig. Id now includes an offset due to the leak flow. The prior art method then determines the calculated leak flow over a number of breaths, as shown in Fig. I e. The resulting is calculated respiratory flow, as the measured flow minus the calculating leak flow is shown in Fig. f, having returned to the correct mean value, however is incorrectly scaled in magnitude, giving a false indication of peak positive and negative airflow.
Another prior art arrangement is disclosed in European Publication No. 0 714 670 A2, including a calculation of a pressure-dependent leak component. The methodology relies on knowing precisely the occurrence of the start of an inspiratory event and the start of the next inspiratory event. In other words, the leak calculation is formed as an average over a known breath and applied to a subsequent breath.
This method cannot be used if the moment of start and end of the previous breath are unknown. In general, it can be difficult to accurately calculate the time of start of a breath. This is particularly the case immediately following a sudden change in the leak.
Furthermore, the method will not work in the case of a subject who is making no respiratory efforts, and is momentarily not being ventilated at all, for example during an apnea, because for the duration of the apnea there is no start or end of breath over which to make a calculation.
rR\ I.RPIIRR Ane.-.do
I
-3c The present inventioh seeks to provide a determination of leak flow and true respiratory airflow, accounting for the variations in flow through a leak as a function of pressure.
Summary of the Invention 00 The invention discloses a method for determining a degree of certainty that a Sleak has suddenly increased during airway treatment of a patient comprising the steps of: determining a measure of respiratory airflow to the patient; C' determining an extent A to which the measure has been positive for longer than expected; determining an extent B to which the measure is large and positive; determining the degree of certainty that a leak has suddenly increased as a function of extent A and extent B.
The invention further discloses a method for determining a degree of certainty that a leak has suddenly decreased during airway treatment of a patient comprising the steps of: determining a measure of respiratory airflow to the patient; determining an extent A to which the measure has been negative for longer than expected; and determining an extent B to which the measure is large and negative; determining the degree of certainty that a leak has suddenly decreased as a function of extent A and extent B.
The invention further discloses a method for determining an extent to which a leak has suddenly changed during airway treatment of a patient comprising the steps of: [R-\1I 1I: n MRS 1r-rdA
I
determining an increase-index of a degree of certainty to which the leak has suddenly increased; determining a decrease-index of a degree of certainty to which the leak s has suddenly decreased; and determining the extent to which the leak has suddenly changed as a function of the increase-index and the decrease-index.
Embodiments of the invention provide advantages over the prior art. There is no need to know when transitions between respiratory phases occurs. The independence from knowledge of the subject's respiratory state has the important result that the leak flow calculation is accurate in apneic no flow) instances on the part of the subject or the mechanical ventilator.
Brief Description of the Drawings Embodiments of the invention will now be described with reference to the accompanying drawings in which: Figs. Ia-If shows traces of pressure and airflow from which respiratory airflow is calculated in accordance with a prior art method; Figs. 2a and b show schematic diagrams of two embodiments of ventilatory assistance apparatus; Fig. 3 is a block flow diagram of a method for determining instantaneous respiratory airflow; and Fig. 4 shows traces of pressure, airflow and other variables from which respiratory airflow is calculated; Fig. 5 shows a schematic diagram of ventilatory assistance apparatus of another embodiment; Fig. 6 shows a fuzzy membership function for the calculation of the extent A 1 to which the time tZI since the most recent positive going zero crossing of the calculated respiratory airflow is longer than the expected time TI; Fig. 7 shows a fuzzy membership function for the calculation of the extent B I to which the calculated inspiratory respiratory airflow fRESP is large positive; Fig. 8 shows a fuzzy membership function for the calculation of the extent AE to 3s which the time tZE since the most recent negative going zero crossing in the calculated respiratory airflow is longer than the expected time TE; Fig. 9 shows a fuzzy membership function for the calculation of the extent BE to which the respiratory airflow fRESp is large negative; and fR:\LIBE103885.doc:edu 3 1 Fig. 10 shows the relation between an index J and time constant r.
Detailed Description of Preferred Embodiments Fig. 2a shows mechanical ventilation apparatus 10 embodying the invention.
The subject/patient wears a nose mask 12 of any known type. The subject 0 equally could wear a face mask or nasal prongs/pillows, or alternatively have an 0endotracheal tube or tracheostomy tube in place. A turbine/blower 14, operated by a Ci mechanically coupled electrical motor 16, receives air or breathable gas at an inlet 18 io thereof, and supplies the breathable gas at a delivery pressure to a delivery tube/hose Shaving connection at the other end thereof with the nose mask 12. Breathable gas thus is provided to the subject's airway for the purpose of providing assisted respiration, with the subject's expired breath passing to atmosphere by an exhaust 22 in the delivery tube typically located proximate to the mask 12.
A pneumotachograph 24 is placed in the delivery tube 20 between the mask 12 and the exhaust 22 to provide two pressure signals, P 2 and P across the pneumotachograph, each passed by hoses 28,30 to a differential pressure sensor 32. A determination of the flow of gas in the mask 12 is made the differential pressure, P 2
-P
1 resulting in a flow signal fd. The mask pressure, P 2 also is passed to a pressure sensor 34 by a tapped line 36 taken from the respective hose 28, to generate a delivery pressure signal, pm, output from the pressure sensor 34.
Both the flow signal, fd, and the pressure signal, pm, are passed to a microcontroller 38 where they are sampled for subsequent signal processing, typically at a rate of 50 Hz.
The microcontroller 38 is programmed to process the flow and pressure signals (fd, Pm) to produce an output control signal, yo, provided to an electronic motor servocontroller 42 that, in turn, produces a motor speed control output signal, v o This signal is provided to the motor 16 to control the rotational speed of the turbine 14 and provide the desired treatment pressure, P2, at the nose mask 12.
The motor servo-controller 42 employs a negative feedback control technique that compares the actual delivery pressure, in the form of the signal pm, with the control signal y o For convenience, this control stratagem may be independent of operation of the microcontroller 38.
fR:\LI8El03885.doc:edg
I
-6- Operation of the controlling of the microcontroller 38, so far as a calculation of respiratory airflow is concerned, broadly is as follows. In a sampled manner, the conductance of any mask leak is calculated, then the instantaneous flow through the leak is calculated. The flow through the leak is subtracted from the total mask flow to calculate the true instantaneous respiratory airflow.
00 Fig. 2b shows an alternative embodiment of a system for determining true Srespiratory airflow during mechanical ventilation. The mechanical ventilation system of Fig. lb differs from that of Fig. la firstly in that the microcontroller 38 plays no part in Sl0 control of the ventilator 50, rather only receives and data processes the electrically Stransduced mask pressure and flow signals Pm, fd to determine and generate the instantaneous respiratory flow fRESP. The ventilator 50 has an internal drive signal provided by an oscillator 44. The motor servo controller also may or may not receive the mask pressure signal Pm as a form of feedback control. Indeed, the ventilator 50 can be realised by any convenient form of known generic ventilation device.
The controlling software resident within the microcontroller 38 performs the following steps in determining the respiratory airflow as broadly described above, as also shown in the flow diagram of Fig. 3.
The word "average" is used herein in the most general sense of the result of a low pass filtering step, and is not confined to an arithmetic mean.
1. Repeatedly sample the mask airflow fd to give a sampled signal fMASK, and the mask pressure Pm to give a sampled signal PMASK, for example at intervals milliseconds. (Steps 50,52).
2. Calculate the average leak, LP(L), as being the result of low pass filtering the airflow, fMASK, with a time constant of 10 seconds. (Step 54).
3. Calculate the average of the square root of the mask pressure, LP('PMASK), as being the result of low pass filtering the square root of the mask pressure, PMASK, with a time constant of 10 seconds. (Step 56).
4. Calculate the conductance, G, of any leak (Step 58), from the equation: G LP(L) LP("P MASK) I-\I1 InCmiARgr Ar-n -7- Calculate the instantaneous leak flow, fLEAK, through the leak (Step Sfrom the equation: fLAK G MA If there is no leak flow, the value of LP(L) will be equal to zero, as will G and 0 hence fLEAK. Thus the methodology is valid also where leak is equal to zero no leak.
O
At this juncture the leak flow has been determined, such as would be desired for a leak flow detector. If desired, the instantaneous respiratory airflow can be subsequently N determined by the following step.
6. Calculate the instantaneous respiratory airflow, fRESP, by subtracting the instantaneous leak from the mask flow (Step 62): fRESP fMASK fLEAK Figs. 4a-4h illustrate the methodology of the embodiment described above with reference to Fig. 2b. At time, t 21 sec, a continuing leak of approximately I /sec is introduced. Fig. 4e shows the mean mask flow. Fig. 4f represents the calculated conductance G, from which the mask leak flow can be estimated as shown in Fig. 4g.
Finally, Fig. 4h shows how the calculated respiratory airflow recovers within approximately 30 seconds, and, importantly, gives the correctly scaled (true) magnitude of airflow.
With regard to setting the instantaneous output signal yo, the microcontroller broadly executes the following steps: 7. If the calculated true respiratory airflow fRESP is above a threshold, for example 0.05 L/sec, yo is set to a value corresponding to an inspiratory pressure, PINSP- Otherwise yo is set to a value corresponding to an expiratory pressure, PEXP: In general, PINSP is higher than PEXP, but in the case of continuous positive airways pressure, PEXP may be equal to PINSP. (Step 66).
It is to be understood that many other methods of determining yo from fMASK may be used in step 7, for example as described in the text Principles and Practice of Mechanical Ventilation, edited by Martin J. Tobin (McGraw Hill Inc, 1994).
rRA\LBE103885.doc:edE In order to control ventilation, it is necessary to measure the subject's tventilation. In the presence of a leak, the ventilation delivered by the assisted ventilation apparatus is greater than the ventilation delivered to the subject. Known devices which servo-control ventilation cope with this by collecting the exhaled air stream with a s complex system of valves, and then measuring the exhaled ventilation. This is inappropriate for devices for use in a domestic setting during sleep, because of the 00 attendant weight, complexity, and expense. The embodiment described compensates for the leak by continuously measuring the nonlinear conductance of the leak, and allowing Cfor the instantaneous flow through the leak as a function of pressure.
Fig. 5 shows an alternate arrangement for ventilatory assistance apparatus embodying the invention. In this arrangement, the pneumotachograph 24' is interposed between the turbine 14 and the delivery hose This arrangement removes the pressure sensing hoses and pneurnotachograph from the region of the mask 12. The pressure at the mask, PMASK, is calculated from the delivery pressure at the turbine 14, and from the pressure drop down the air delivery hose 20, which for any particular delivery hose is a known function of the flow at the pneumotachograph 24. Further, the microcontroller 38 must also calculate the flow through the mask from the flow at the turbine 14 less the flow through the exhaust 22, which for any particular exhaust is a known function of the pressure at the mask 12.
In more detail, this involves the steps of, firstly measuring the pressure P3 at the turbine 14 with the pressure sensor 34 to produce an electrical signal Pt. Next the differential pressure P4-P3 is measured across the pneumnotachograph 24' by the differential pressure sensor 32 to produce an electrical signal ft. In a sampled manner, Pt and ft are digitized to yield the sampled turbine pressure and flow signals PTURBIJE and FTURBIN
E
The pressure at the mask PMASK and the sampled airflow at the mask fMASK 12 are calculated from the turbine pressure PTURBINE and the flow at the outlet of the turbine FTURBINE as follows: 1. Calculate the pressure drop APTUBE down the air delivery tube 20, from the flow at the outlet of the turbine FTURBINE: APTUBE sign (FTURBINE) x K 1
(FTURBINE)
2
K
2 FTUR13NE rR,\ IRflflARR AnI*,.I -9where K 1 and K2 are empirically determined constants, and sign is 1 for x 0 and -l otherwise.
2. Calculate the pressure at the mask, PMASK, as the pressure at the turbine PTURBINE less the pressure drop APTUBE down the air delivery tube 00 PMASK PTURBINE" APTUBE- 3. Calculate the flow, fEXHAUST, through the exhaust 22, from the pressure at io the mask PMASK: fEXHAUST sign(PMASK) x K3 Jabs(PMAsx) where K 3 is determined empirically.
Is 4. Calculate the flow, fMASK, into the mask 12 as the flow at the turbine 14 less the flow through the exhaust 22: fMASK fTr"BINE fEXHAUST.
The foregoing embodiments describe low-pass filtering of both the instantaneous airflow and the square root of the instantaneous pressure with a time constant r of seconds. This time constant, can be advantageously dynamically adjustable.
If the conductance of the leak suddenly changes, then the calculated conductance will initially be incorrect, and will gradually approach the correct value at a rate which will be slow if the time constant of the low pass filters is long, and fast if the time constant is short. Conversely, if the impedance of the leak is steady, the longer the time constant the more accurate the calculation of the instantaneous leak. Therefore, it is desirable to lengthen the time constant if it is certain that the leak is steady, reduce the time constant if it is certain that the leak has suddenly changed, and to use intermediately longer or shorter time constants if it is intermediately certain that the leak is steady.
If there is a large and sudden increase in the conductance of the leak, then the calculated respiratory airflow will be incorrect. In particular during apparent inspiration, the calculated respiratory airflow will be large positive for a time that is large compared with the expected duration of a normal inspiration. Conversely, if there is a sudden decrease in conductance of the leak, then during apparent expiration the calculated [R:\LIBEJ03885.doc:cdg respiratory airflow will be large negative for a time that is large compared with the duration of normal expiration.
Therefore, an index of the degree of certainty that the leak has suddenly changed is derived, such that the longer the airflow has been away from zero, and by a larger amount, the larger the index; and the time constant for the low pass filters is adjusted to 00 vary inversely with the index. In operation, if there is a sudden and large change in the leak, the index will be large, and the time constant for the calculation of the conductance In of the leak will be small, allowing rapid convergence on the new value of the leakage conductance. Conversely, if the leak is steady for a long time, the index will be small, and the time constant for calculation of the leakage conductance will be large, enabling accurate calculation of the instantaneous respiratory airflow. In the spectrum of intermediate situations, where the calculated instantaneous respiratory airflow is larger and for longer periods, the index will be progressively larger, and the time constant for the calculation of the leak will progressively reduce. For example, at a moment in time where it is uncertain whether the leak is in fact constant, and the subject merely commenced a large sigh, or whether in fact there has been a sudden increase in the leak, the index will be of an intermediate value, and the time constant far calculation of the impedance of the leak will also be of an intermediate value. One advantage is that some corrective action will occur very early.
Another advantage is that there is never a moment where the leak correction algorithm is "out of control" and needs to be restarted, as described for prior art European Patent Publication No. 0 714 670 A2.
In a preferred embodiment, the above index is derived using fuzzy logic. The fuzzy extent A, to which the airflow has been positive for longer than expected is calculated from the time tZI since the last positive-going zero crossing of the calculated respiratory airflow signal, and the expected duration T, of a normal inspiration for the particular subject, using the fuzzy membership function shown in Fig. 6. The fuzzy extent BI to which the airflow is large and positive is calculated from the instantaneous respiratory airflow using the fuzzy membership function shown in Fig. 7. The instantaneous index 11 of the degree of certainty that the leak has suddenly increased is calculated as the fuzzy intersection (lesser) of A, and B 1 Comparable calculations are performed for expiration as follows. The fuzzy extent AE to which the airflow has been negative for longer than expected is calculated from the time tZE since the last negative-going zero crossing of the calculated respiratory fR:\LIBE]03885.doc:edS 11
C
airflow signal, and TE, the expected duration of a typical expiration for the particular 4C subject, using the membership function shown in Fig. 8. The fuzzy extent BE to which the airflow is large negative is calculated from the instantaneous respiratory airflow using the fuzzy membership function shown in Fig. 9. The instantaneous index I E of the degree of certainty that the leak has suddenly decreased is calculated as the fuzzy intersection of AE.and BE- 00 SThe instantaneous index I of the extent to which there has been a sudden change C in the leak (either an increase or a decrease) is calculated as the fuzzy union (larger) of o1 indices II and IE. The instantaneous index I is then passed through a peak detector followed by a low pass filter with a time constant of, for example 2 seconds, to yield the desired index J. Thus if index I becomes momentarily large, index J will be initially large and remain so for a few seconds. The time constant t for the low pass filters used in the calculation of the conductance of the leak is then adjusted to vary inversely with the index J, as shown in Fig. 10. For example, if the expected duration of a normal respiratory cycle were 4 seconds the time constant is set to 10 seconds if the index J is zero, (corresponding to complete certainty that the leak is steady), and to 1 second if the index J is unity (corresponding to complete certainty that the leak is suddenly changing), and to intermediate values for intermediate cases.
2o The embodiments described refer to apparatus for the provision of ventilatory assistance, however, it is to be understood that the invention is applicable to all forms of mechanical ventilation and apparatus for the provision of continuous positive airway pressure treatment. The apparatus can be for the provision of a constant treatment pressure, multi-level (IPAP and EPAP) treatment or autosetting (adjusting) treatment or other forms of mechanical ventilation, including Proportional Assist Ventilation (PAV) as taught by M Younes in the above-noted text.
The methodology described can be implemented in the form of a computer program that is executed by the microcontroller described, or by discrete combinational logic elements, or by analog hardware.
[R:\LIBE0389S5.doc:edg

Claims (11)

  1. 2. The apparatus of claim 1 further comprising a flow sensor configured to provide a flow signal representative of airflow in the conduit and wherein the processor is configured and adapted to determine the pressure characteristic for the conduit as a function of the flow signal. I i
  2. 3. The apparatus of claim 2 wherein the processor is configured and adapted to *calculate the estimate mask pressure by subtracting the pressure characteristic from a measure of the distal pressure signal. 00oO
  3. 4. The apparatus of claim 3 wherein the processor is configured and adapted to determine the pressure characteristic for the conduit as a function of the flow signal with empirically determined constants. The apparatus of claim 4 wherein the processor is configured and adapted to determine the pressure characteristic by calculating the pressure characteristic as a function of a sign of the measure of airflow and a sign of a squared measure of airflow.
  4. 6. A method for determining a delivery pressure at a mask during pressure assistance of a patient from remote measurements of pressure comprising: providing a controllable pressure delivery device with a mask and conduit; delivering pressure treatment to a patient through the conduit to the mask with the pressure delivery device; measuring a pressure distally from the mask; continuously determining a pressure characteristic for the conduit; calculating an estimated mask pressure as a function of the measured distal pressure and the determined pressure characteristic; selecting a desired mask pressure for setting a delivery pressure for the patient; controlling the pressure delivery device to deliver the desired mask pressure as a function of the estimated mask pressure.
  5. 7. The method of claim 6 further comprising the step of measuring airflow in the conduit, and wherein the step of determining the pressure characteristic for the conduit I Sincludes the sub-step of calculating the pressure characteristic as a function of the 0 measured airflow. 00o 8. The method of claim 7 wherein the step of calculating an estimated mask pressure includes the sub-step of subtracting the pressure characteristic from the measured distal I pressure.
  6. 9. The method of claim 8 further comprising the step of determining empirical constants for the conduit, and wherein the step of determining the pressure characteristic calculates the pressure characteristic as a further function of the empirical constants. The method of claim 9 wherein the pressure characteristic of the conduit is calculated as a function of a sign of the measure of airflow and a sign of a squared measure of airflow.
  7. 11. A method for determining a pressure at a mask during pressure assistance of a patient from remote measurements of pressure comprising: providing an airway pressure treatment apparatus with a mask and conduit; delivering airway pressure treatment to a patient through the conduit to the mask with the apparatus; measuring a pressure distally from the mask; continuously determining a pressure drop to the mask for the conduit; and adjusting the measured distal pressure as a function of the determined pressure drop to calculate the pressure at the mask.
  8. 12. The method of claim 11 further comprising the step of measuring airflow in the conduit, and wherein the step of determining the pressure drop for the conduit includes the sub-step of calculating the pressure drop as a function of the measured airflow. I
  9. 13. The method of claim 12 wherein the step of adjusting the measured distal pressure includes the step of subtracting the pressure drop. 00oO
  10. 14. The method of claim 13 further comprising the step of determining empirical constants for the conduit, and wherein the step of determining the pressure drop includes Scalculating the pressure drop as a further function of the empirical constants. The method of claim 14 wherein the pressure drop of the conduit is calculated as a function of a sign of the measure of airflow and a sign of a squared measure of airflow.
  11. 16. The method of claim 11 further comprising the step of controlling the airway pressure treatment as a function of the calculated pressure at the mask. Dated this 4th day of March, 2005 ResMed Limited Patent Attorneys for the Applicant Halford Co.
AU2005200987A 1996-08-14 2005-03-04 Determination of Leak and Respiratory Airflow Ceased AU2005200987B2 (en)

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AUPO1638 1996-08-14
AU2002306200A AU2002306200B2 (en) 1996-08-14 2002-11-27 Determination of Leak and Respiratory Airflow
AU2005200987A AU2005200987B2 (en) 1996-08-14 2005-03-04 Determination of Leak and Respiratory Airflow

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Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CA2038971C (en) * 1990-03-30 1996-06-18 Magdy Younes Lung ventilator device
US5551419A (en) * 1994-12-15 1996-09-03 Devilbiss Health Care, Inc. Control for CPAP apparatus
AUPN547895A0 (en) * 1995-09-15 1995-10-12 Rescare Limited Flow estimation and compenstion of flow-induced pressure swings cpap treatment
DE60043362D1 (en) * 1999-09-15 2009-12-31 Resmed Ltd Synchronization of a ventilation device by means of double-phase sensors
US6557553B1 (en) * 2000-09-05 2003-05-06 Mallinckrodt, Inc. Adaptive inverse control of pressure based ventilation

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