1. Field of the Invention
The invention concerns a method for detecting leaks in ventilation systems, in which both the pressure of the respiratory gas and the volume flow of the respiratory gas are detected and fed into an evaluation unit.
The invention also concerns a device for detecting leaks in ventilators, which has both a system for detecting the pressure of the respiratory gas and a system for detecting the volume flow of the respiratory gas, and in which the detection systems are connected to an evaluation unit.
2. Description of the Related Art
In the performance of ventilation, various control methods for the ventilators are used. The devices are controlled mainly by means of automatic pressure control, so that a well-defined flow volume per respiratory cycle is not determined. Control of the device on the basis of volume control of the flow volume associated with a given respiratory cycle is also possible in principle but so far has been fraught with problems, because leaks can occur in the immediate area of the ventilator, in the area of the ventilation mask, and in the area of the connecting hose between the ventilator and the ventilation mask. Leaks can also occur in the area of contact between the ventilation mask and the patient's face. Total leakage losses from the complete ventilation system comprising these individual components are often on the order of 50% of the flow volume produced by the ventilator.
The previously known methods and devices for determining leakage losses are not yet sufficiently suitable for integration in an automatic control system for the device.
Therefore, the objective of the present invention is to improve a method of the aforementioned type in such a way that improved control of the device is supported.
In accordance with the invention, this objective is achieved by recording the respiratory parameters of pressure and flow for at least two successive respiratory cycles with the evaluation unit, by presetting at least one control parameter with different signal amplitudes for the successive respiratory cycles, and by determining resistance, compliance, and leak resistance from the resulting differential curves of pressure and flow for these respiratory cycles.
A further objective of the present invention is to design a device of the aforementioned type in such a way that volume-based control of the device is supported.
In accordance with the invention, this objective is achieved by designing the evaluation unit for determining the respiratory quantities of pressure and flow, by providing a storage device for at least one pair of value sequences of pressure and flow for a respiratory cycle, and by making it possible to generate at least one differential sequence for determining differential curves of compliance and resistance for at least two successive respiratory cycles.
On the basis of the determined leakage, it is possible to engineer the ventilator to supply an increased flow volume in such a way that, allowing for the leakage losses, a precisely defined useful volume flow is supplied. By taking the difference of the measured sequences of values of pressure and flow in two successive respiratory cycles, such that the selected control parameter has different control parameters in the respiratory cycles, it is possible to eliminate the effect of unknown quantities.
Direct leak detection for helping to achieve exact volume flow control is assisted by performing the computation for at least two immediately successive respiratory cycles.
To reduce the processing work, it is also possible to perform the computation for at least two respiratory cycles that are separated by at least one other respiratory cycle.
In accordance with a modification, different pressure levels are preset for the successive inspirations.
In particular, it is intended that the first pressure level be selected higher than the second pressure level.
In addition, it is also possible for the first pressure level to be selected lower than the second pressure level.
In accordance with another modification, it is also possible for different volume flows to be preset for the successive respiratory cycles.
In this modification as well, it is intended, in particular, that the first volume flow be preset higher than the second volume flow.
Moreover, it is also possible for the first volume flow to be preset lower than the second volume flow.
To guarantee that a preset desired value be maintained correctly on average, it is proposed that a large number of respiratory cycles, each with a varied control parameter, be carried out in such a way that the values of the control parameters are statistically distributed in such a way that a mean value corresponds to a preset desired value for the control parameter.
A closed-loop control system can be provided to carry out a leak compensation.
In particular, it is intended that the leak compensation is carried out dynamically.
To further support ventilation, it is proposed that a determination of the spontaneous respiratory behavior be performed by the evaluation unit.
In particular, it was found to be advantageous for the evaluation unit to compensate the effect of spontaneous respiratory behavior on the ventilation.
In a typical embodiment, leak detection is carried out in an area between a ventilator and a patient.
In accordance with another modification, it is proposed that the measurements be carried out only during inspiratory phases of the respiratory cycles.
To detect the ventilation pressure, it is proposed that at least one pressure sensor be connected to the evaluation unit.
Ventilation flow can be detected by connecting at least one volume flow sensor to the evaluation unit.
The arrangement of at least one of the sensors so that it faces a ventilator that is supplying the respiratory gas is conducive to a compact design of the device.
Improved measuring accuracy can be obtained by arranging one of the sensors so that it faces a ventilation mask.
In a typical embodiment, an expiration valve is arranged so that it faces the ventilation mask.
The arrangement of a discharge system so that it faces the ventilator also contributes to a compact design of the device.
In clinical applications, it is possible for a patient interface that is connected with the ventilator by the respiratory gas hose to be designed as an invasive device.
In particular, however, it is intended that a patient interface that is connected with the ventilator by the respiratory gas hose be designed as a noninvasive device.
In one embodiment of a signal generator, the evaluation unit has an amplitude generator for a pressure that varies from respiratory cycle to respiratory cycle.
In accordance with another embodiment, it is provided that the evaluation unit has an amplitude generator for a volume flow that varies from respiratory cycle to respiratory cycle.
Specific embodiments of the invention are shown schematically in the drawings.
In the embodiment shown in
In the illustrated embodiment, a pressure sensor 8 and a volume flow sensor 9 are connected to a ventilator 7, which consists essentially of the fan 3 and the control valve 4. The volume flow sensor 9 is typically designed as a differential pressure sensor, whose signal is converted to an associated volume flow.
The ventilator 7 is connected by a respiratory gas hose 10 and an expiration valve 11 to a ventilation mask 12, which can be positioned over the face of a patient 13.
The sensors 8, 9 are connected to an evaluation unit 14, which in turn is connected to the control unit 6.
The equivalent electrical circuit diagram of the respiratory tract according to
Assuming that the respiratory effort of the patient between inspirations varies by only an insignificant amount, the respiratory effort component can be eliminated by subtraction. The following relationship in the complex variable domain of the Laplace transform is obtained from the equivalent circuit diagram according to
Paw(s)=[Pmus(s)+V′insp(s)(1+sRC)/sC]×sRLC/(1s(R+RL)C)
The differences of the airway pressure Δpaw and the inspiratory flow ΔV′insp are computed as follows:
ΔPaw(s)=Paw,k(s)−Paw,k1(s)
ΔV′insp (s)=V′insp,k(s)−V′insp,k 1(s)
where k is the running number of the inspiration.
Assuming that the respiratory effort with respect to time is the same in successive inspirations, i.e., assuming that
Pmus,k(s)=Pmus,k1(s)
a simpler relationship is obtained between the pressure difference Δpaw and the flow difference ΔV′insp in the complex variable domain of the Laplace transform:
ΔPaw(s)=ΔV′insp(s)(1+sRC)RL/(1+s(R+RL)C)
To reconstruct the behavior of Pmus, the inversion of the first equation must be used. To this end, the identified estimated values are used as parameters, and the measured values are accounted for.
P^mus(s)=(1+s(R^+R^L)C^)/sR^LC^PFS(s)−(1+sR^C^)/ sC^V′FS(s)
A reconstruction of this type allows an evaluation of the spontaneous respiration and thus indirectly an evaluation of the quality of ventilation. In the simplest case, it can be decided by integration of the reconstructed values whether the patient is breathing with or against. For the first time, more complicated methods of classification can derive from this a decided evaluation for the volume-controlled ventilation, for example, with respect to synchronization or the level of respiratory effort.
In accordance with the embodiment shown in
As an alternative to the ventilation mask 12 shown in the specific embodiments, other noninvasive devices can be used to provide a connection with the patient 13. For example, the use of masks or headpieces is possible. A connection between the ventilation system 1 and the patient 13 can also be established by invasive coupling devices, for example, an intubation tube, a tracheostoma, or a laryngeal mask.
The ventilation systems that are used can be designed for carrying out various types of ventilation, for example, control mode ventilation, assist/control mode ventilation, or assist mode ventilation. In addition, the method can be used in periodic breathing and for CPAP ventilation or APAP ventilation.
The determination of resistance and compliance can be made, for example, exclusively during the inspiratory or exclusively during the expiratory time intervals of the respiratory cycles. However, it is also possible to make these determinations during both the inspiratory and expiratory phases.
In the embodiment in
In the modification shown in
In the modification shown in
In the embodiment shown in
In the embodiment shown in
Finally,
For the relationship between the measured data for flow V′FS and pressure pFS in the device, the transfer function corresponding to the following equation is obtained from the equivalent circuit diagram in the complex variable domain of the Laplace transform, neglecting a PEEP (positive end-expiratory pressure):
PFS(s)/V′FS(s)=(RL×(1+sRC))/(1+s(RC+RLC+RLCs)+S2 RCRLCs)
In this regard, the transit time behavior of the pressure inside the hose was disregarded (PFS=Paw), and RL was adopted as the leak resistance.
After a time discretization of this equation with a zero-order hold (s−>(1−z−1)/T), with the discrete-time shift operator z−1, and with the sampling time T, the following representation of the relationship between the sequences of values PFS, k and V′FS, k is obtained:
PFS,k/V′FS,k=(b0+b1Z−1)/(1+a1Z1+a2Z2)
where
b0=RLT(T+RC)/K
b1=−RCRLT/K
a1=(−T(RC+RLC+RLCs)−2RCRLCs)/K
a2=RCRLCs/K
K=T2+T(RC+RLC+RLCs)+RCRLCs
If we now consider the conditions on the patient side of the respiratory gas hose, the following transfer function between V′insp and Paw is obtained:
Paw(s)/V′insp(s)=RL×(1+sRC)/(1+s(R+RL)+C)
Paw,k/V′insp,k=(b0+b1z1)/(1+a1z1)
where
b0=RL(T+RC)/L
b1=−RLRC/L
a1=−(R+RL)C/L
L=T+(R+RL)C
If the transit time of the air pressure through the respiratory gas hose is taken into account, then PFS is not equal to Paw. For pressure sensors on the device side, the expansion with
PFS(s)=Paw(s)/(1+sTs×esTt)
can be used, in which Ts is the integral-action time of the flexible respiratory gas hose with the hose connector. The delay time Tt corresponds to the sound transit time through the hose.
A higher degree of accuracy of the models in the above equations can be used to take into account such effects as gas compressibility. More precise formulations can also be used in the transition to the discrete-time representation.
The parameters R, C, and RL can be estimated by well-known identification and parameter estimation methods for linear as well as nonlinear systems. Especially a time-distributed computation of the parameter estimation is advantageous for implementation. In this regard, recursive methods make it possible to obtain results with the greatest time proximity to the last observation period.
Number | Date | Country | Kind |
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103 13 082 | Mar 2003 | DE | national |
Filing Document | Filing Date | Country | Kind | 371c Date |
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PCT/EP2004/000607 | 3/23/2004 | WO | 00 | 9/22/2005 |
Publishing Document | Publishing Date | Country | Kind |
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WO2004/084980 | 10/7/2004 | WO | A |
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