Respiratory Pyramid Interface Decision Support System

Abstract

The invention relates to a decision support system used in positive pressure mechanical ventilation device displays for respiratory support therapy in intensive care, which presents the energy distribution between the elastic and resistive components of the lung and the total mechanical stress load to which the patient is subjected under a single, intuitive visual model.

Description

1 TARIFF Respiratory Pyramid Interface Decision Support System TECHNICAL AREA 5 The invention describes a positive pressure mechanical device used for respiratory support therapy in intensive care units. Lung elastic, resistive and obstructive components used in ventilation device displays the energy distribution between them and the total mechanical stress load to which the patient is subjected in a single and Presenting it under an intuitive visual model, its importance in preventing ventilator-associated lung injury is 10. Proven plateau, driver pressure, and static completion are all respiratory dynamics that are the same. It relates to a decision support system that enables sharing on the interface. PREVIOUS TECHNIQUE Today, a significant proportion of patients treated in intensive care units lose their lives. To continue, they need mechanical ventilation support. Mechanical ventilators Pressure, volume, and flow waveforms produced by the respiratory system, and graphs of respiratory cycles, vital information about the patient's lung mechanics, ventilation compliance, and potential complications. It contains clinical information. The accurate and timely interpretation of these graphs benefits both patients 20 This is critically important in terms of both safety and treatment effectiveness. However, the current ventilators... In these systems, critical parameters related to respiration are generally displayed on independent screens. Presented via tabs or windows. Pressure-time, volume-time and current- The relational link between time curves and loop graphs is understood holistically by the system. It is not established in any way. This situation requires the clinician to manually examine different data sources. 25 This necessitates combining and interpreting the data, and clinical decisions are made based on the scattered nature of the data. This fragmented presentation of data complicates the data delivery process, especially for intensive data. This creates a high cognitive load on clinicians in care settings. Physician or Healthcare personnel create meaningful clinical experiences by mentally integrating different charts. It is necessary to create a table. This situation is particularly relevant for users in the training phase. 30 This creates a significant learning barrier and is misleading for inexperienced users. This increases the risk of misinterpretation and delayed intervention, especially under intense and stressful clinical conditions. This cognitive load further increases the probability of error. Another significant shortcoming of current systems is the presence of what could be called silent threats, 35 It is the failure to detect respiratory pattern abnormalities in a timely manner. In ventilator waveforms The resulting increase in elastic load, resistive losses, or obstructive patterns are not always classical. 2 It does not trigger alarm thresholds. Such anomalies progress progressively without generating an alarm. It can develop and, if not detected late, can lead to serious clinical consequences such as Ventilator-Associated Lung Injury (VILI). This can lead to consequences. Current alarm systems are based on this type of energy and stress distribution. They are insufficient in predicting the risks. Existing smart ventilation solutions in the literature. Upon examination, some systems feature automatic data collection and ventilation mode optimization. 5 It appears that these solutions address the elastic, resistive, and obstructive components of the lung. the energy distribution between them and the total mechanical stress load to which the patient is subjected in a single and It fails to present this in an intuitive visual model, which is critical for clinical decision support. This energy-based approach can be implemented holistically and instantly in existing systems. The inability to visualize it currently creates a significant technical gap and need. 10 As a result of research conducted in the literature, the application numbered “2020 / 10460” and “ONE A Turkish patent application titled "VENTILATION DEVICE" has been found. The application includes intensive care and all other facilities that can operate in medical, mechanical, invasive and non-invasive modes. Available in areas where needed, providing all the essential functions required. 15 It relates to a ventilation device that houses a specific type of ventilation. However, the application in question involves a specific type of ventilation device. positive pressure mechanical ventilation used for respiratory support therapy in healthcare. the elastic, resistive and obstructive components of the lung used in the device's screens energy distribution and the total mechanical stress load to which the patient is subjected can be determined using a single, intuitive method. No evidence was found of a decision support system presenting visual models. 20 Ultimately, the problems mentioned above, which cannot be solved with current technology, are the subject of this technical analysis. This has made it necessary to make an innovation in the field. A BRIEF DESCRIPTION OF THE INVENTION The present invention aims to eliminate the aforementioned disadvantages and introduce new technologies to the relevant technical field. It is related to the respiratory pyramid interface decision support system in order to bring advantages. The main purpose of the invention is to analyze the energy between the elastic, resistive, and obstructive components of the lung. The distribution and total mechanical stress load to which the patient is subjected is shown in a single, intuitive visual 30 The aim is to provide it under the model. Furthermore, the invention will allow access to scalar and loop graphs from the same interface, enabling inspiratory... The inspiratory hold and expiratory hold maneuvers will be easily accessible. Inspiratory hold maneuver. In addition to the Pplato value observed in all mechanical ventilator devices, 35% of the Pplato value Driver pressure and static compliance values ​​calculated using this data are also available to users. 3 It will automatically appear on the same interface without requiring any calculation. However... Changes in these parameters that could cause lung damage are visualized through the interface. They will become stimuli, which is a new benefit offered by the interface. All the objectives mentioned above and those that will emerge from the detailed explanation below are 5 The present invention aims to achieve respiratory function in patients undergoing mechanical ventilation. developed for the evaluation of its mechanics, obtained from ventilators It is a system that provides clinical decision support using physiological data, and its feature is;  Pressure and volume related to respiratory mechanics in patients undergoing mechanical ventilation and current data integrated into a geometric pyramid structure on a single screen. It shows three scalar waveforms centered on the time axis. pressure-volume, current-pressure and current- as annular wave graphs on its edge. volume cycles, respiration with mechanical power components in their internal regions pyramid interface,  Real-time pressure, volume, and flow data from ventilator sensors 15 a field at a high sampling frequency, synchronizing this data, and software computational and physiological analysis to make it processable within the system ventilator data capture and integration layer that transmits data to the module,  Real-time data from the ventilator, eliminating the need for manual calculation. Using time-based data based on the equation of motion of respiratory mechanics, 20 driver pressure, plateau pressure, static compliance, elastic mechanical strength, and resistive Computational and physiological systems that automatically calculate mechanical power values. analysis module,  calculated elastic and resistive mechanical forces, as well as pressure and compliance values comparing the relevant 25 of the pyramid with predefined safe and risky threshold values. Colored visual warnings on the edges or inside areas depending on the risk level. visual decision-making that highlights the edges where problems are identified using color. Support and risk assessment module.  Time key, edge and corner located on the respiratory pyramid interface inspiratory and expiratory hold maneuvers through their interactions 30 When initiated by the user, the relevant maneuver results in the pyramid center. Simultaneously measuring driver pressure, plateau pressure, and static compliance parameters. user interaction and maneuver triggering module that makes it visible It includes. 35 The best way to utilize the advantages of the existing invention, together with its structure and additional elements. For it to be understood, it must be considered together with the figures explained below. 4 BRIEF DESCRIPTION OF THE FIGURES Figure 1 shows a representative example of the respiratory pyramid interface decision support system that is the subject of this invention. It is a representation. 5 Figure 2 is a representative illustration of the respiratory pyramid interface. Figure 3 is another representative illustration of the respiratory pyramid interface. The drawings do not necessarily need to be scaled and are necessary for understanding the invention. Details that are not present may have been overlooked. Furthermore, at least to a large extent, 10 Elements that are identical or at least have substantially identical functions are numbered the same. It is shown. REFERENCE NUMBERS 1. Respiratory pyramid interface 2. Ventilator data capture and integration layer 3. Computational and physiological analysis module 4. Visual decision support and risk assessment module 5. User interaction and maneuver triggering module 20 6. Adaptive clinical scenario and decision support unit Plate. Plateau pressure. ΔP. Driver pressure. Cstat. Static compliance 25 MP_el. Elastic mechanical strength. MP_res. Resistive mechanical power. 101. Top corner – Touchable area for the current parameter. 102. Bottom left corner – Touchable area 30 for pressure parameter. 103. Bottom right corner – Touchable area for volume parameter. 104. Bottom edge – Interactive line that triggers the pressure-volume cycle graph. 105. Right edge – Interactive line triggering the Flow-Volume cycle graph. 106. Left edge – Interactive line triggering the Flow-Pressure cycle graph. 107. Lower inner area – Elastic mechanical force field (MP_el feedback) 35 108. Right medial region – Obstructive Component; Expiratory retention and calculation panel (auto- PEEP feedback) 109. Left inner area – Resistive mechanical force field (MP_res feedback) 110. Center – Time; Inspiratory timekeeping and calculation panel DETAILED DESCRIPTION OF THE INVENTION This detailed description explains the respiratory pyramid interface decision support system, which is the subject of the invention. it will not have any limiting effect on a better understanding of the subject. This is explained with examples. Respiratory pyramid interface decision support system, respiratory pyramid interface (1), ventilator data 10 Capture and Integration Layer (2), Computation and Physiological Analysis Module (3), Visual decision support and risk assessment module (4), user interaction and maneuver triggering The module (5) includes the adaptive clinical scenario and decision support unit (6). Respiratory pyramid interface (SPA) (1), respiratory mechanics in patients undergoing mechanical ventilation Pressure, volume, and flow data are displayed on a single screen in a geometric pyramid structure (15). It displays time-axis scalar waveforms (Pt, Vt, Ft) in an integrated manner, at its center. circular loop graphs on its edges and mechanical power components in its inner regions It is an interactive software-based visualization interface that incorporates respiration. clinical data based on the physiological model of mechanics based on the equation of motion It presents it by contextualizing it and provides both a numerical and a visual-geometric evaluation. 20 It provides the possibility. Moreover, the visual presentation of the system is not limited to the pyramidal form but is also functional. This can also be realized in equivalent, different geometric or abstract structures. The invention In one of its structures, the pyramid form was preferred, but different geometric structures were also preferred. can be done. Ventilator data capture and integration layer (2), mechanical ventilator pressure, current and volume data from sensors at a high sampling frequency (preferably 100 25 (Hz) the field receives this data in real time, calculating it by ensuring time synchronization. It is the software component that transfers data to the module. This layer adds an extra layer to the existing ventilator hardware. Raw physiological data from ventilator output is processed in the software layer without requiring physical sensors. It enables its use. The calculation and physiological analysis module (3) receives from the ventilator. real-time data, the equation of motion of respiratory mechanics (P_total = P_elastic + 30 It operates using a physiological model based on P_resistive + PEEP) and the following parameters: It is a software module that calculates automatically:  Plateau pressure (Pplat),  Driver pressure (ΔP),  Static compliance (Cstat), 35  Elastic mechanical strength (MP_el),  Resistive mechanical strength (MP_res), 6  Airway resistance (R_aw) and auto-PEEP. This module eliminates the need for manual calculations, providing clinicians with real-time, It offers integrated physiological analysis. Visual decision support and risk assessment module (4), calculated physiological and mechanical parameters with predefined clinical threshold values comparing and classifying the respiratory pyramid interface at the center, edges and 5 depending on the risk level. It is a software component that generates color-coded visual alerts in its internal regions. This module addresses pathological conditions that can develop silently (high driver pressure (ΔP), increased (Mechanical power, auto-PEEP, asynchronous) becomes visible with gray-yellow-orange-red color transitions. By doing so, it visually indicates clinically critical risks that are not alarming but are of significant importance to the user. Interaction and maneuver triggering module (5), located on the respiratory pyramid interface 10 The clinician's inspiratory hold and center (time space) are monitored through edge and corner interactions. It is the software component that enables the initiation of expiratory hold maneuvers. This module allows the user to view cycle graphs in full screen by touching the relevant area. can display, trigger inspiratory or expiratory hold maneuvers, and calculate It can update the parameters instantly. Adaptive clinical scenario and decision support unit (6), 15 By separating the elastic and resistive mechanical load components, ARDS, obstructive diseases, development of auto-PEEP, patient-ventilator asynchrony, and mechanical changes due to obesity, etc. Different respiratory pathophysiologies can be distinguished on the same respiratory pyramid interface. It is a software unit that visualizes parameters in a comprehensive way. This unit allows the clinician to view not just a single parameter, but the whole picture. It reduces cognitive load by supporting decision-making based on mechanical stress and energy load, and 20 It facilitates the implementation of protective ventilation strategies. However, the system In addition to real-time clinical use, it can also be used in training, simulation, retrospective analysis, and remote applications. It can also work in monitoring and cloud-based decision support applications. It can be configured. The respiratory pyramid interface (1) is the interface located on the mechanical ventilation screen. Respiratory visualization of all parameters affecting its mechanics on a geometric structure It provides. In some mechanical ventilators with current interfaces, only the total mechanical power is quantified. This is indicated. On the system interface, an increase in resistance is indicated by a visual warning (yellow, orange, (red) is turning. In some mechanical ventilators with current interfaces, only a total of 30 Mechanical power is expressed numerically; in this system, the decrease in compliance is visually apparent. It turns into a warning (yellow, orange, red). The power calculation is based on what the mechanical ventilator measures. It is calculated from the basic parameters using a formula. This maneuver is used to obtain the Pplato value. This is standard practice on all mechanical ventilator interfaces. Existing mechanical In ventilator interfaces, only the Pplato value is displayed with the inspiratory hold maneuver. 35 In this system, the driver utilizes the plateau value obtained as a result of this maneuver. Pressure (ΔP) and static compliance (Cstat) values ​​can also be obtained. This feature 7 This is a situation that is mostly absent in current systems. Experienced clinicians usually... It calculates the values ​​itself. Ring graphs are used in current mechanical ventilator interfaces. It is usually not located on the main screen and is often accessed depending on the interface's features. It's difficult. In this system, however, it's easy to access on the main screen and provides visual warnings. The respiratory pyramid interface (RPI) decision support system understands the complex mechanics of breathing. a device that transforms the physiology of a human into an understandable geometric shape (a pyramid) on a single screen It is a visualization and decision support interface. The system's basic physiological model is movement. It is based on the equation (Ptotal = P_elastic + P_resistive + PEEP). This property of the model It ensures physiological validity. The visual design centers on the scalar 10 (Time Axis - t). It represents the waveforms (Pt, Vt, Ft). The bases found at the edges (Ring Charts) (Lower Edge - Elastic), PV cycle. It refers to the elasticity (compliance) of the lung and chest wall. It shows. The left edge (resistive) is the FP loop and shows airway resistance. The right edge (Obstructive & Synchronization) is the PV cycle and refers to airway obstruction and patient-ventilator interaction. It shows asynchronousness. 15 System stimulation (inspiratory hold or expiratory hold) is only possible with Pplato and auto-PEEP. not only does it automatically calculate other parameters proven effective in safe ventilation, but it also... and has integration features. Clinicians avoid manual and complex calculations. There is no need to struggle. SPA can access the following 20 ventilator data in real time. It calculates parameters such as drive pressure (ΔP), plateau pressure (Pplat), and static compliance (Cstat). It shows in the center (110). In addition, the calculated elastic mechanical power (MP_el) is sub-internal. numerical values ​​in the area (107) and resistive mechanical power (MP_res) in the left inner area (109). It appears as such. Additionally, thanks to the color-coded visual warning system, the center and the left inner-lower inner sections are marked. When the values ​​in these areas exceed the safe limits, these areas change color according to their risk levels. 25 (Gray -> Yellow -> Orange -> Red). This feature converts silent stimuli into visual stimuli. (For example: Red if ΔP > 20, Yellow if Cstat < 40, Red if MP_el > 17, etc.). In the system Threshold values ​​for parameters can be fixed, dynamic, or based on patient characteristics, diagnosis, clinical scenario, and It can be customized according to user preferences. Left edge (106) (Resistive), left inner area adjacent to this area (109) according to airway resistance (R_aw) Colored according to resistive mechanical power / MP_res values. Right edge (105) PV loop shape. It is colored according to the detection of obstructive pathology and the increase in the frequency of asynchrony. Adjacent to this area When the right area (108) is clicked, the expiratory hold maneuver starts and the detected value is numerical. This is observed in this area, and also a visual warning (Gray 35) is given in this area according to the Auto-PEEP increase level. (Yellow -> Orange -> Red) 8 SPA can be integrated into existing ventilators as a software layer. The system... The included data capture module provides real-time data stream (100 Hz) from the ventilator sensors. It provides the calculation module, the equation of motion and related formulas MP_el, MP_res, R_aw etc. calculates. The threshold comparison module pre-calculates the calculated values. It compares with defined threshold tables (THTs). The visualization engine, pyramid and 5 It updates the color coding in real time. The user interaction module activates when the edge is touched. The relevant cycle is displayed in full screen or the central “time key” displays the respiratory hold function. It initiates its maneuver. SPA does not diagnose; it contextualizes physiological data to support clinical decision-making. Primary 10 The benefit is the mental integration required for the clinician to assess respiratory mechanics. It reduces the time and probability of error. Other benefits include using it as a training tool for complex applications. It accelerates learning by visualizing concepts. Netilator with protective ventilation support. It reveals risk factors (high ΔP, MP) for associated lung injury (VILI). Early asynchrony It detects patient-ventilator mismatch early through visual warnings. Screen 15 Through optimization, three loops and scalar data are combined into a single schema. SPA, mechanically In ventilation monitoring, making physiological data understandable, reducing cognitive burden, and benefiting both experienced professionals It also has the potential to be a powerful decision support and training tool for inexperienced clinicians. It carries. Example scenarios:  ARDS Management: The lower edge is illuminated due to low compliance (Cstat). The clinician, During PEEP titration, you can instantly view changes in Cstat, ΔP, and MP_el from a single screen. By monitoring, you can find the safest and most suitable PEEP (Personalized Emission Testing) method.  Bronchospasm / Increased Resistance: The left edge is illuminated by the widening Ppeak-Pplat gradient. 25 The center may not give a signal, thus resistive pathology is quickly distinguished from elastic pathology.  Air Trapping and Expiratory Restriction: If a new breath begins before the expiratory flow is complete. The right edge lights up, indicating that the respiratory rate or I:E ratio needs adjustment.  Asynchrony Detection: Mismatch between patient effort and ventilator triggering, right It becomes visible by changing the color at the edge. The user asks what the problem is 30 To understand it, he / she can make the desired ventilator ring visible through the interface. In the conceptual diagram of the respiratory pyramid interface (RPI), the time (t) axis is at the center and Scalar waveforms (Pt, Vt, Ft) are represented, while annular graphs (PV) are shown on the edges. Loop, FP Loop, FV Loop are represented. The system automatically adjusts the resistive power to 35. automatic display of elastic force, driver pressure (ΔP) on the main screen. Automatic display of static compliance (Cstat) on the main screen 9 The procedures for demonstrating and warning about asynchrony are carried out. Respiratory pyramid. The respiratory mechanics interface (SPA) in patients undergoing mechanical ventilation an interactive decision support system used by clinicians for evaluation It is a system that, in addition to its basic evaluation function, is specific to different respiratory pathophysiologies. It has a use-case structure that can be expanded to cover various scenarios. 5 The system addresses increased elastic load in ARDS patients, resistive load in obstructive pulmonary disease, and auto-PEEP. the development and mechanistic changes associated with thoracoabdominal effects in obese patients are the same. visualizing the clinical decision-making process in a distinguishable way on a pyramidal interface. It supports. The respiratory pyramid interface (RPI) displays the complex physiology of respiratory mechanics on a single screen. a visualization and decision support system that transforms it into an understandable geometric shape (pyramid) It is the interface. The upper corner (101) in the system is the area where the flow parameter can be touched. The lower left corner (102) is the area where the pressure parameter can be touched. The lower right corner (103), The area where the volume parameter can be touched is the lower edge (104), pressure-volume It is the interactive line that triggers the loop / pressure-volume cycle graph. Right edge (105), flow-15 The left edge (106) is the interactive line that triggers the volume loop / flow-volume loop graph. It is the interactive line that triggers the pressure loop / flow-pressure loop graph. Lower inner region (107), elastic mechanical power (MP_el feedback), right inner region (108), obstructive component; expiratory hold and calculation panel (auto-PEEP feedback), left internal region (109), resistive mechanical power (MP_res feedback), center 20 (110), time; is the inspiratory hold and calculation panel [Pplat, DP, Cstat feedback]. The system features automatic calculation and integration, eliminating the need for clinicians to perform manual and complex tasks. There's no need to deal with calculations. SPA gets real-time data from ventilator data. plateau pressure (Pplat), driver pressure (ΔP), static compliance (Cstat), lower inner region (107), left inner 25 The region (109) automatically calculates the plateau pressure (Pplat) and the driver pressure (ΔP) at the center. static compliance (Cstat)) and in the inner regions (Lower inner region (107), right inner region (108), left inner region (109) provides both numerical and color warnings. The color-coded visual warning system provides relevant The parameters change color when they reach risky levels (Gray -> Yellow -> Orange -> Red). Clicking on the corner interaction opens a display of the corresponding scalar wave pattern. Center interaction (time) 30 Clicking this triggers the inspiratory hold maneuver and opens the central calculation window. In the center, the Pplato, DP, and Cstat values ​​are given as text. In the power fields within the inner region... Energy flow to the lungs is observed. (MP_el / elastic mechanical force and MP_res / resistive mechanical force) power (MP_res). Clicking the obstructive component in the right inner region triggers 'expiratory hold'. The maneuver is triggered and an auto-PEEP value appears in this region. Center interaction 35 If Pplat and / or DP appear in the center when activated and exceed the safe threshold values, or When Cstat is lower than it should be, it activates central visual feedback. Central It turns red. For example, Pplato > 30 cmH₂O, DP > 15 cmH₂O, Cstat < 40 mL / cmH₂O red alert in the center. Also, safe threshold values ​​for the lower inner region and / or left inner region. If it exceeds a certain level, the power fields in the inner region will appear as colored animations depending on the severity of the situation. Provides visual warning: Normal = Gray; Mild increase = Yellow; Moderate increase = Orange; Severe increase = Orange. Increase = Red. Power fields in the center and inner regions increase by 5 when the center is triggered. The colored alerts that appear remain visible for 2 minutes. The user can make the necessary selections based on these colored visual alerts. corrective maneuvers (PEEP titration, VT adjustment, frequency, flow rate, sedoanalgesia-muscle) (relaxation…etc.) and preferably after 3 minutes, re-stimulate the center to create the newly formed By viewing the parameters, it continues to make new adjustments if necessary. Right inner region exploratory hold. Provides a visual warning based on the auto-PEEP level observed after the maneuver. (Normal = Gray; Mild 10 Increase = Yellow; Moderate increase = Orange; Severe increase = Red. ARDS SCENARIO (Low compliance – high elastic load): The clinical problem is plateau pressure (Pplat) in ARDS patients due to low pulmonary compliance. Driver pressure (ΔP) and elastic mechanical force (MP_el) increase rapidly; this situation is ventilator-related 15 This increases the risk of lung damage. The technical contribution of the SPA is in the central region of the pyramid. The Pplato, DP, and Cstat values ​​are monitored simultaneously. Elastic mechanical strength (MP_el) This is visualized as energy flow within the pyramid's interior. Crossing safe thresholds. In this situation, the central and inner areas turn orange or red, alerting the user. However, it significantly stimulates. SPA is within the protective ventilation limits of 20 in ARDS patients. By making the overshoot visually detectable in the early phase, ventilator adjustments can be made quickly and efficiently. It ensures that it is revised in a targeted manner. COPD / obstructive patient scenario (Resistive load – dynamic hyperinflation): The clinical problem is resistive airway resistance due to increased airway resistance in obstructive pulmonary diseases. Mechanical power (MP_res) increases and auto-PEEP may develop. This situation is observed later in classical digital monitoring. It is noticeable. Resistive mechanical strength (MP_res) is an independent field in the interior region of the pyramid. It is shown. Auto-PEEP is triggered by expiratory hold maneuver via right inner region (108). The value is calculated automatically. The corresponding area changes color according to the Auto-PEEP level. SPA visually assesses resistive load and auto-PEEP development separately in obstructive pulmonary disease. 30 By separating them, it facilitates the optimization of frequency, expiration time, and flow settings. Obese patient / patient with increased thoracoabdominal pressure (Chest wall effect – masked compliance) loss): The clinical problem is plateau pressure (Pplat) 35 in obese patients due to chest wall elasticity. The increase is measurable; however, it is unclear whether this increase is coming from the lung parenchyma or the chest wall. It is difficult to discern where it originated. SPA's technical contribution is jointly made with Cstat and DP and at the center. 11 Mechanical strength is evaluated. Its elastic and resistive components are separated and shown. By reactivating the center after PEEP titration, the user can instantly see the direction of change. can be observed. SPA can identify the source of high blood pressure values ​​in obese patients as functional. By helping to differentiate them, it prevents unnecessary tidal volume or PEEP restrictions. It's valid. 5 The scenario-independent shared advantage of SPA's clinical scenario integration is the same interface. It adapts to different respiratory pathophysiologies. Clinical decision-making is based not on a single parameter, but on energy and It relies on the entirety of the mechanical load. Numerical data provides a time-sensitive and intuitive geometric representation. It is converted into a map. This feature is qualitatively different from classic monitoring systems. This is not a change in representation, but a clinical decision architecture. The 10 at the center of the respiratory pyramid. Clicking the time button activates the inspiratory hold maneuver. In the center, pplat, driver. pressure (ΔP) and static compliance (Cstat), elastic mechanical strength (MP_el) and resistive mechanical strength Power (MP_res) values ​​are automatically generated. Elastic Power (J / min) = 0.098 × Respiratory Rate It is calculated from the formula: (RR) × VT × (Plateau Pressure – PEEP). Resistive Power (J / min) = 0.098 × It is calculated from the formula RR × VT × (Peak Pressure – Plateau Pressure). However, the 15 calculations may be based on different physiological models, alternative respiratory mechanics equations, or It can also be implemented based on additional sensor inputs. To each side of the respiratory pyramid the circular graph it represents when touched individually (FP Lopp, FV Loop, PV Loop) It may become visible on the mechanical ventilator screen. The respiratory pyramid interface is mechanical. The ventilator's main screen remains constantly visible, and asynchronous respiratory physiology is disrupted. 20 in the relevant areas when there are situations or a risk of ventilator-associated lung injury. Color changes (gray-yellow-orange-red) indicate the severity of the condition to clinicians. It provides silent-visual alerts. The system also offers suggestions, simulations, and comparative analysis. It can be configured to generate evaluation or scenario-based feedback.

Claims

12 REQUESTS 1. Assessment of respiratory mechanics in patients undergoing mechanical ventilation 5 Developed for this purpose, using physiological data obtained from ventilators. It is a system that provides clinical decision support, and its feature is;  Pressure related to respiratory mechanics in patients undergoing mechanical ventilation, Volume and flow data integrated on a geometric structure on a single screen. It shows three 10 scalar waveforms centered on the time axis. pressure-volume, current-pressure and current- as annular wave graphs on its edge. volume cycles, respiration with mechanical power components in their internal regions pyramid interface (1),  Real-time pressure, volume, and flow from ventilator sensors. collecting data at a high sampling frequency, synchronizing this data, and 15 computation and processing within the software system Ventilator data capture and integration transmitting to physiological analysis module (3) layer (2),  Real-time data from the ventilator, eliminating the need for manual calculation. Using time-based data, driver pressure (ΔP), plateau pressure (Pplat), static 20 Compliance (Cstat), elastic mechanical strength (MP_el), and resistive mechanical strength. Calculation and physiological processes that automatically calculate (MP_res) values. analysis module (3),  calculated elastic and resistive mechanical forces (MP_res) and pressure and compliance values ​​with predefined safe and risky threshold values ​​25 comparing, colored visual warnings depending on the risk level in the interior regions. visual decision support and risk assessment module (4),  Time key, edge and corner located on the respiratory pyramid interface (1) manually initiating the inspiratory hold maneuver through their interactions, As a result of the maneuver, the driver pressure (ΔP) at the center of the pyramid is plateau 30. Simultaneously measuring the parameters of subpressure (Pplat) and static compliance (Cstat). User interaction and maneuver triggering module that makes visible (5) It includes.

2. A system conforming to Claim 1, characterized by: elastic force field, resistive force field and pyramid 35 data obtained from annular wave graphs represented on its edges together by evaluating the mechanical load corresponding to different respiratory pathophysiologies 13 distinguishing their distributions and providing visual decision support outputs appropriate to the clinical context. Adaptive clinical scenario and decision support unit that enables interpretation in this way (6) It includes.

3. The system is compliant with claim 1 and its feature is that it has 5 located at the respiratory pyramid interface (1). The geometric structure must be at least one of the following: pyramid, triangle, circle, or square.

4. The system complies with Claim 1 and its features include visual decision support and risk assessment. resistive mechanical modulus of the lower internal area corresponding to the elastic mechanical strength (MP_el) independent 10 depending on the relevant risk status of the left inner area corresponding to the power (MP_res) It produces colored warnings and these warnings are displayed synchronously on the respiratory pyramid interface. It is a module that enables the display of data in real time.

5. The system complies with Claim 1, and its feature is the aforementioned calculation and physiological analysis. Elastic mechanical power (MP_el) through the elastic force field of the module (3), resistive power 15 A module capable of separately analyzing resistive mechanical strength (MP_res) across different areas. It is the fact that.

6. The system complies with Claim 1 and its features include the aforementioned visual decision support and risk assessment. The evaluation module (4) can quietly develop high drive pressure (ΔP), 20 Increased mechanical power states are visible through gray, yellow, orange, and red color gradients. by not triggering an alarm but visually indicating clinically critical risks It is a module.