Respiratory waveform simulation method
By constructing a mathematical simulation model of the respiratory waveform, the problem of the lack of a systematic simulation method for ventilators in medical education was solved, the simulation of respiratory waveforms in different cases and ventilation modes was realized, and students' understanding and mastery of ventilator operation was improved.
Patent Information
- Application Number
- CN202511133699.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-08-14
- Publication Date
- 2025-10-21
- Estimated Expiration
- 2045-08-14
AI Technical Summary
Existing ventilators lack a systematic respiratory waveform simulation method in medical education, making it difficult for doctors and students to understand and master the basic principles and operating skills of ventilators, especially respiratory waveform simulation in different cases and ventilation modes.
Construct a mathematical simulation model of the respiratory waveform, including mechanical ventilation waveform, assisted ventilation waveform and spontaneous breathing waveform. By obtaining the patient's initial respiratory state information and ventilation mode instructions, the simulation output of the respiratory waveform is achieved, simulating the ventilator operation under different cases and ventilation modes.
It enriches medical teaching cases, helps medical students understand and analyze respiratory waveforms of different modes, improves their ability to master ventilator technology, and enhances the practical effect of medical education.
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Figure CN120636244B_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of medical simulation, and in particular to a respiratory waveform simulation method. Background Art
[0002] As an effective means of artificially replacing spontaneous ventilation function, ventilators have been widely used in respiratory failure caused by various reasons, anesthesia respiratory management during major surgery, respiratory support therapy and emergency resuscitation, and occupy a very important position in the field of modern medicine.
[0003] With the continuous advancement of medical technology, ventilators are increasingly used. They not only play an irreplaceable role in hospitals and other medical institutions, but also occupy a pivotal position in education, especially in medical and nursing education. Knowledge about ventilators is an indispensable component of both basic medical education and advanced nursing training. Students need to understand the basic principles of ventilators, their operation methods, and their application techniques in clinical practice. Mastering ventilator technology is crucial for improving medical treatment and protecting patient safety.
[0004] Many experienced doctors still have misunderstandings about the basic and key parameters of ventilators due to the lack of systematic ventilator training. At the same time, the respiratory waveform is a key indicator during mechanical ventilation. It not only reflects the patient's current respiratory condition, but also assists doctors in diagnosing diseases and formulating treatment plans. Therefore, the purpose of this application is to provide a respiratory waveform simulation method for ventilators to simulate respiratory waveforms of different cases and different ventilation modes to assist medical students in understanding the respiratory physiological conditions and disease changes of different patients and mastering the performance of ventilators. Summary of the Invention
[0005] To achieve the above objectives, the present application provides a respiratory waveform simulation method, comprising:
[0006] S1, constructing a mathematical simulation model of a respiratory waveform, wherein the respiratory waveform includes a mechanical ventilation waveform and an assisted ventilation waveform;
[0007] S2, obtaining the case to be displayed and obtaining the patient's initial respiratory status information;
[0008] S3, obtaining a ventilation mode instruction of the target user based on the initial respiratory state information, and determining a target respiratory waveform corresponding to the current ventilation mode instruction based on a mapping relationship between ventilation modes and respiratory waveforms;
[0009] S4, obtaining a patient breathing parameter instruction and a ventilator parameter instruction of a target user, and executing a mathematical simulation model of the target breathing waveform, including:
[0010] S41, determining whether the target respiratory waveform is a single respiratory waveform,
[0011] Yes, obtaining the frequency of the target respiratory waveform, calculating the period of the target respiratory waveform, and outputting the waveform in a cycle;
[0012] No, go to step S42;
[0013] S42, determine whether the patient's spontaneous breathing rate is greater than the mechanical ventilation rate of the ventilator,
[0014] If yes, calculate the patient's spontaneous breathing cycle and the mechanical ventilation cycle of the ventilator, take the patient's spontaneous breathing cycle as the cycle of the target respiratory waveform, and proceed to step S43;
[0015] If no, the mechanical ventilation cycle of the ventilator is calculated, the mechanical ventilation cycle of the ventilator is used as the cycle of the target respiratory waveform, and the mechanical ventilation waveform is cyclically output;
[0016] S43, using the mechanical ventilation cycle of the ventilator as a counter to count down, and then proceeding to step S44;
[0017] S44, determine whether the counter is 0,
[0018] If yes, the counter is reset, the mechanical ventilation flag of the ventilator is set to position 1, and the process goes to step S45;
[0019] No, go to step S45;
[0020] S45, determine whether the current breathing waveform cycle has ended,
[0021] If yes, proceed to step S46;
[0022] If no, continue to output the current cycle respiratory waveform and return to step S43;
[0023] S46, determine whether the mechanical ventilation flag of the current ventilator is 1,
[0024] If yes, the mechanical ventilation flag of the ventilator is cleared, the respiratory waveform of the next cycle is the mechanical ventilation waveform, and the process returns to step S43;
[0025] If no, the respiratory waveform of the next cycle is an assisted ventilation waveform, and the process returns to step S43.
[0026] Furthermore, the mechanical ventilation waveform is a pressure-type mechanical ventilation waveform, including an inhalation phase and an exhalation phase, wherein:
[0027] The mathematical simulation model expression of the inspiratory phase of the pressure-type mechanical ventilation waveform is:
[0028] ,
[0029] The mathematical simulation model expression of the expiratory phase of the pressure-type mechanical ventilation waveform is:
[0030] ,
[0031] Where: Pinsp is the suction pressure, L P is the airway pressure, L R is respiratory resistance, t is time, Peep is positive end-expiratory pressure, L PC It represents real-time lung compliance, Flow represents tracheal flow, Vol represents tidal volume, and P represents lung pressure.
[0032] Furthermore, the mechanical ventilation waveform is a capacity-based mechanical ventilation waveform, including an inspiratory phase, a plateau phase, and an expiratory phase, wherein:
[0033] The mathematical simulation model expression of the inspiratory phase of the volume-based mechanical ventilation waveform is:
[0034] ,
[0035] The mathematical simulation model expression of the platform stage of volume-based mechanical ventilation waveform is:
[0036] ,
[0037] The mathematical simulation model expression of the expiratory phase of the volume-based mechanical ventilation waveform is:
[0038] ,
[0039] Where: Vt is the tidal volume of the ventilator, Itime is the inspiratory time, Pause is the percentage of the inspiratory pause time to the inspiratory time, Peep is the positive end-expiratory pressure, L R is the respiratory resistance, L PC is the real-time lung compliance, L P is the airway pressure, t is the time, Flow is the tracheal flow, Vol is the tidal volume, and P is the lung pressure.
[0040] Furthermore, real-time lung compliance L PC The calculation expression is:
[0041] When L P When less than or equal to 5:
[0042] ,
[0043] When L P When greater than 5 and less than or equal to 30:
[0044] ,
[0045] When L P When it is greater than 30:
[0046] ,
[0047] Where: L C is the initial lung compliance, L P is the airway pressure.
[0048] Furthermore, the assisted ventilation waveform is composed of an assisted breathing waveform and a trigger waveform, wherein:
[0049] Assisted breathing waveform, including inspiration phase and expiration phase, where:
[0050] The mathematical simulation model expression of the inspiratory phase of the assisted breathing waveform is:
[0051] ,
[0052] The mathematical simulation model expression of the expiratory phase of the assisted breathing waveform is:
[0053] ,
[0054] The trigger waveform includes the pressure trigger waveform and the flow trigger waveform, wherein the mathematical simulation model expression of the pressure trigger waveform is:
[0055] ,
[0056] The mathematical simulation model expression of the flow trigger waveform is:
[0057] ,
[0058] Among them: PS is the support pressure, Peep is the positive end-expiratory pressure, L P is the airway pressure, L R is respiratory resistance, t is time, b is a constant, Flow is tracheal flow, Vol is tidal volume, P is lung pressure, L C is the initial lung compliance.
[0059] Furthermore, it also includes setting the exhalation sensitivity to control the duration ratio of the inhalation phase and the exhalation phase. The specific expression is:
[0060] ,
[0061] When Flow Exp When it is less than 0, it switches from inhalation to exhalation;
[0062] Where: Esens is the exhalation sensitivity, L R is the breathing resistance, FlowExp It is the exhalation sensitivity detection value.
[0063] Furthermore, the respiratory waveform also includes a spontaneous respiratory waveform, and the mathematical simulation model expression is:
[0064] ,
[0065] Where: L Rate is the spontaneous breathing rate, Pinsp is the inspiratory pressure, t is the time, Peep is the positive end-expiratory pressure, Flow is the tracheal flow, Vol is the tidal volume, and P is the lung pressure.
[0066] Furthermore, the patient's respiratory parameters include the spontaneous respiratory rate L Rate , respiratory resistance L R , initial lung compliance L C .
[0067] Furthermore, the ventilator parameters include trigger mode, mechanical ventilation frequency Rate, positive end-expiratory pressure Peep, ventilator tidal volume Vt, support pressure PS, inspiratory time Itime, the percentage of inspiratory pause time to inspiratory time Pause, inspiratory pressure Pinsp, etc.
[0068] The beneficial effects of this application are:
[0069] The present application sets up mathematical simulation models of different respiratory waveforms, obtains the ventilation mode instructions, patient respiratory parameter instructions, and ventilator parameter instructions set by the target user based on the initial respiratory status information of the case patient, obtains the target respiratory waveform, and determines whether the target respiratory waveform is a single respiratory waveform, and sets the corresponding output. If it is a single respiratory waveform, it is output cyclically. If it is not a single respiratory waveform, the patient's spontaneous respiratory frequency and the ventilator's mechanical ventilation frequency are compared in real time to achieve periodic switching of the mechanical ventilation waveform and the assisted ventilation waveform. The target user can set the corresponding ventilation mode and various parameters according to the respiratory status of different case patients, and realize the simulation output of the ventilator's respiratory waveform in the patient's respiratory physiological state and disease changes, thereby simulating the operation of the ventilator, which not only enriches medical teaching cases, but also helps medical students to strengthen their understanding and analysis of respiratory waveforms of different modes of ventilators and strengthen their mastery of ventilator technology. BRIEF DESCRIPTION OF THE DRAWINGS
[0070] Figure 1 It is a flow chart of the respiratory waveform simulation method according to an embodiment of the present application.
[0071] Figure 2 It is a flow chart of step S4 of the embodiment of the present application.
[0072] Figure 3It is a schematic diagram of the mapping relationship between ventilation mode and respiratory waveform in an embodiment of the present application.
[0073] Figure 4 It is a schematic diagram of the pressure-type mechanical ventilation waveform and the assisted ventilation waveform in an embodiment of the present application.
[0074] Figure 5 It is a schematic diagram of the capacity-based mechanical ventilation waveform and the assisted ventilation waveform in an embodiment of the present application.
[0075] Figure 6 This is a schematic diagram of the display interface of the pressure-assisted / controlled ventilation mode ventilator in an embodiment of the present application.
[0076] Figure 7 This is a schematic diagram of the display interface of the ventilator in pressure-controlled synchronized intermittent mandatory ventilation + spontaneous breathing pressure support mode in an embodiment of the present application.
[0077] Figure 8 This is a schematic diagram of the display interface of the ventilator in the spontaneous breathing / time-controlled automatic switching mode according to an embodiment of the present application.
[0078] Figure 9 This is a schematic diagram of the display interface of the ventilator in volume assist / control ventilation mode in an embodiment of the present application.
[0079] Figure 10 This is a schematic diagram of the display interface of a ventilator in volume-controlled synchronized intermittent mandatory ventilation + spontaneous breathing pressure support mode in an embodiment of the present application.
[0080] Figure 11 This is a schematic diagram of the display interface of the pressure support ventilation mode ventilator in an embodiment of the present application.
[0081] Figure 12 This is a schematic diagram of the display interface of a ventilator in continuous positive airway pressure mode according to an embodiment of the present application.
[0082] Figure 13 This is a schematic diagram of the display interface of a ventilator in assisted ventilation mode triggered under pressure control in an embodiment of the present application.
[0083] Figure 14 This is a schematic diagram of the display interface of a ventilator in a volume-controlled assisted ventilation mode according to an embodiment of the present application. DETAILED DESCRIPTION
[0084] In order to make the purpose, technical solutions and advantages of this application clearer, the technical solutions in this application will be clearly and completely described below in conjunction with the drawings of this application. Obviously, the described embodiments are part of the embodiments of this application, not all of the embodiments. Based on the embodiments of this application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.
[0085] like Figures 1 to 14 As shown, the embodiment of the present application provides a respiratory waveform simulation method, including:
[0086] S1, constructing a mathematical simulation model of respiratory waveforms, including mechanical ventilation waveforms and assisted ventilation waveforms;
[0087] The ventilation mode of the ventilator is usually related to the patient's respiratory state. The commonly used ventilation modes are controlled ventilation, synchronized intermittent forced ventilation, pressure support ventilation, spontaneous ventilation mode and combined ventilation mode. Medical staff select the ventilation mode of the ventilator based on whether the patient has spontaneous breathing or partial spontaneous breathing. After the ventilator is supported by ventilation, the patient's body parameters will change according to the corresponding ventilation support, and the waveform will also change accordingly. Therefore, the respiratory waveform presented by the ventilator is different due to the ventilation mode of the ventilator and the patient's body respiratory parameters. In this step, the respiratory waveform is divided into mechanical ventilation waveform and assisted ventilation waveform according to the ventilation support status of the ventilator. It can be understood that when the patient has no spontaneous breathing at all, the ventilator can adopt the ventilation mode of mechanical ventilation. At this time, the respiratory waveform displayed by the ventilator is a mechanical ventilation waveform. When the patient has a certain degree of spontaneous breathing, the ventilator can adopt the ventilation mode of mechanical ventilation + assisted ventilation. At this time, the respiratory waveform displayed by the ventilator is a mixed mode of mechanical ventilation waveform and assisted ventilation waveform. In other embodiments, the respiratory waveform also includes a spontaneous breathing waveform, which is mainly in the spontaneous ventilation mode, where the ventilator only provides positive pressure or increased pressure support in the patient's respiratory airway, and the respiratory waveform is determined by the patient's respiratory rate and depth.
[0088] In existing ventilators, respiratory waveforms are usually reflected from three dimensions: tracheal flow, lung pressure, and tidal volume. In this embodiment, a mathematical simulation model is constructed for respiratory waveforms with different waveform morphological characteristics from three dimensions: tracheal flow, lung pressure, and tidal volume (hereinafter referred to as flow, pressure, and tidal volume), and they are marked separately. Flow represents flow, P represents pressure, and Vol represents tidal volume, providing a basis for subsequent respiratory waveform correspondence and simulation output.
[0089] Based on different waveform characteristics, mathematical simulation models are constructed for mechanical ventilation waveforms, assisted ventilation waveforms, and spontaneous breathing waveforms. The specific methods are explained as follows with reference to the illustrations:
[0090] (1) Mechanical ventilation waveforms are divided into pressure-type mechanical ventilation waveforms and volume-type mechanical ventilation waveforms;
[0091] (2) The assisted ventilation waveform consists of a trigger waveform and an assisted breathing waveform;
[0092] (3) Spontaneous breathing waveform;
[0093] Specifically, Figure 4 Schematic diagram of the waveform of pressure-type mechanical ventilation and assisted ventilation in the three dimensions of flow (Flow), pressure (P), and tidal volume (Vol); Figure 5 Schematic diagram of the waveform of capacity-based mechanical ventilation and assisted ventilation in the three dimensions of flow (Flow), pressure (P), and tidal volume (Vol);
[0094] like Figure 4 As shown in the figure, taking the flow waveform as an example, each waveform is segmented. Figure 4 The AC segment is a pressure-type mechanical ventilation waveform, including the inspiratory phase AB and the expiratory phase BC, where:
[0095] The mathematical simulation model expression of the AB phase of the pressure-type mechanical ventilation waveform inspiratory phase is:
[0096] ,
[0097] The mathematical simulation model expression of the BC in the expiratory phase of the pressure-type mechanical ventilation waveform is:
[0098] ,
[0099] Where: Pinsp is the suction pressure, L P is the airway pressure, L R is respiratory resistance, t is time, Peep is positive end-expiratory pressure, L PC Real-time lung compliance.
[0100] like Figure 5 As shown in the figure, taking the flow waveform as an example, each waveform is segmented. Figure 5 The AC segment is a volume-based mechanical ventilation waveform, including the inspiratory phase AA', the plateau phase A'B, and the expiratory phase BC, where:
[0101] Volume-based mechanical ventilation waveform inspiratory phase AA ’ The mathematical simulation model expression is:
[0102] ,
[0103] Volume-based mechanical ventilation waveform platform stage A ’ The mathematical simulation model expression of B is:
[0104] ,
[0105] The mathematical simulation model expression of the BC in the expiratory phase of the volume-based mechanical ventilation waveform is:
[0106] ,
[0107] Where: Vt is the tidal volume of the ventilator, Itime is the inspiratory time, Pause is the percentage of the inspiratory pause time to the inspiratory time, Peep is the positive end-expiratory pressure, L R is the respiratory resistance, L PC is the real-time lung compliance, L P is the airway pressure, and t is the time.
[0108] The real-time lung compliance is different under different pressures. Therefore, in the above mechanical ventilation waveform mathematical simulation model, the real-time lung compliance L PC The calculation expression is:
[0109] When L P When less than or equal to 5:
[0110] ,
[0111] When L P When greater than 5 and less than or equal to 30:
[0112] ,
[0113] When L P When it is greater than 30:
[0114] ,
[0115] Where: L C is the initial lung compliance, L P is the airway pressure.
[0116] The assisted ventilation waveform is generated when the patient has a certain degree of spontaneous breathing. By triggering and detecting whether the patient has spontaneous breathing, the ventilator assists the patient to complete an assisted ventilation waveform, such as Figure 4 、 Figure 5 As shown in the figure, taking the flow waveform as an example, the CF segment is the assisted ventilation waveform, which is composed of the trigger waveform CD and the assisted breathing waveform DF.
[0117] The assisted breathing waveform DF includes the inspiration phase DE and the expiration phase EF, where:
[0118] The mathematical simulation model expression of DE in the inspiratory phase of the assisted breathing waveform is:
[0119] ,
[0120] The mathematical simulation model expression of EF in the exhalation phase of the assisted breathing waveform is:
[0121] ,
[0122] The trigger waveform CD is divided into pressure trigger waveform and flow trigger waveform, among which:
[0123] The mathematical simulation model expression of the pressure-triggered waveform is:
[0124] ,
[0125] The mathematical simulation model expression of the flow trigger waveform is:
[0126] ,
[0127] Among them: PS is the support pressure, Peep is the positive end-expiratory pressure, L P is the airway pressure, L R is respiratory resistance, t is time, b is a constant, Flow is tracheal flow, Vol is tidal volume, P is lung pressure, L C is the initial lung compliance.
[0128] The assisted breathing waveform can also set the exhalation sensitivity to control the duration ratio of the inhalation phase and the exhalation phase. The specific expression is:
[0129] ,
[0130] When Flow Exp When it is less than 0, it switches from inhalation to exhalation;
[0131] Where: Esens is the exhalation sensitivity, L R is the breathing resistance, Flow Exp It is the exhalation sensitivity detection value.
[0132] The mathematical simulation model expression of spontaneous breathing waveform is:
[0133] ,
[0134] Where: L Rate is the spontaneous breathing rate, Pinsp is the inspiratory pressure, t is the time, and Peep is the positive end-expiratory pressure.
[0135] S2, obtaining the case to be displayed and obtaining the patient's initial respiratory status information;
[0136] In this embodiment, the case can be a clinical case or written by an experienced teacher or medical practitioner, mainly reflecting the patient's symptoms and respiratory status information, such as whether there is spontaneous breathing or whether it is partial spontaneous breathing. Different symptoms will result in different patient respiratory states. By obtaining clinical cases and writing cases, it is convenient to provide medical students with initial respiratory status information of patients in different cases, enrich respiratory waveform teaching cases, and provide a basis for target users (medical students, etc.) to diagnose diseases and use ventilators.
[0137] S3, obtaining a ventilation mode instruction of the target user based on the initial respiratory state information, and determining a target respiratory waveform corresponding to the current ventilation mode instruction based on a mapping relationship between ventilation modes and respiratory waveforms;
[0138] Common ventilator ventilation modes are controlled ventilation, synchronized intermittent mandatory ventilation, pressure support ventilation, spontaneous ventilation mode and combined ventilation mode. Figure 3 As shown, in this embodiment, the ventilator ventilation modes include but are not limited to pressure-assisted / controlled ventilation mode, volume-assisted / controlled ventilation mode, pressure-controlled synchronized intermittent mandatory ventilation + spontaneous breathing pressure support mode (referred to as pressure + spontaneous breathing support mode), volume-controlled synchronized intermittent mandatory ventilation + spontaneous breathing pressure support mode (referred to as volume + spontaneous breathing support mode), continuous positive airway pressure mode, pressure support ventilation mode, spontaneous breathing / time control automatic switching mode, etc. It should be noted that the names of the ventilation modes may vary slightly depending on the ventilator brand and usage environment (such as home use, medical use, etc.).
[0139] In some ventilation modes, the target respiratory waveform is a single respiratory waveform, or a mechanical ventilation waveform, or an assisted ventilation waveform, or a spontaneous breathing waveform, such as Figures 6 to 8 As shown in the figure, they are the ventilator display interfaces in pressure assist / control ventilation mode, pressure control synchronized intermittent mandatory ventilation + spontaneous breathing pressure support mode, and spontaneous breathing / time control automatic switching mode. The target respiratory waveforms are all pressure-type mechanical ventilation waveforms. Figure 9 、 Figure 10 As shown, they are the ventilator display interfaces in volume assist / control ventilation mode and volume control synchronized intermittent mandatory ventilation + spontaneous breathing pressure support mode, and the target respiratory waveforms are all volume-based mechanical ventilation waveforms; in some embodiments, such as Figure 11 As shown, it is a ventilator display interface in pressure support ventilation mode, and the target respiratory waveform is the assisted ventilation waveform; in some embodiments, as Figure 12 As shown in FIG, it is the display interface of the ventilator in the continuous positive airway pressure mode, and the target breathing waveform is the spontaneous breathing waveform.
[0140] In some ventilation modes, the target respiratory waveform is a mixture of mechanical ventilation waveform and assisted ventilation waveform, such as Figure 13 As shown in FIG, it is the display interface of the ventilator in the assisted ventilation mode triggered under pressure control, and the target respiratory waveforms are respectively the pressure-type mechanical ventilation waveform and the assisted ventilation waveform; Figure 14 As shown in the figure, it is the display interface of the ventilator in the assisted ventilation mode under volume control, and the target respiratory waveforms are volume-based mechanical ventilation waveform and assisted ventilation waveform. Figures 6 to 14 The waveforms of tidal volume, pressure, and flow in each ventilator display interface use time as the horizontal axis, with the unit being seconds (S).
[0141] By presetting the mapping relationship between ventilation mode and respiratory waveform, the corresponding respiratory waveform can be matched according to the ventilation mode, avoiding the need to develop a waveform simulation method for each ventilation mode and reducing the waste of development resources.
[0142] S4, obtaining a patient breathing parameter instruction and a ventilator parameter instruction of the target user, and executing a mathematical simulation model of the target breathing waveform;
[0143] Among them, the patient's respiratory parameters include spontaneous respiratory rate L Rate , respiratory resistance L R , initial lung compliance L C Ventilator parameters include but are not limited to trigger mode (pressure trigger, flow trigger), mechanical ventilation rate Rate, positive end-expiratory pressure Peep, ventilator tidal volume Vt, support pressure PS, inspiratory time Itime, the percentage of inspiratory pause time to inspiratory time Pause, inspiratory pressure Pinsp, etc. By setting the parameters, the frequency, period, amplitude, etc. of the respiratory waveform can be determined to characterize different respiratory waveform shapes.
[0144] This step specifically includes:
[0145] S41, determine whether the target respiratory waveform is a single respiratory waveform,
[0146] Yes, obtain the frequency of the target respiratory waveform, calculate the period of the target respiratory waveform, and output it cyclically;
[0147] No, go to step S42;
[0148] S42, determine whether the patient's spontaneous breathing rate is greater than the mechanical ventilation rate of the ventilator,
[0149] If yes, calculate the patient's spontaneous breathing cycle and the mechanical ventilation cycle of the ventilator, take the patient's spontaneous breathing cycle as the target respiratory waveform cycle, and proceed to step S43;
[0150] No, calculate the mechanical ventilation cycle of the ventilator, take the mechanical ventilation cycle of the ventilator as the cycle of the target respiratory waveform, and output the mechanical ventilation waveform cyclically;
[0151] S43, using the mechanical ventilation cycle of the ventilator as a counter to count down, and then proceeding to step S44;
[0152] S44, determine whether the counter is 0,
[0153] If yes, the counter is reset, the mechanical ventilation flag of the ventilator is set to position 1, and the process goes to step S45;
[0154] No, go to step S45;
[0155] S45, determine whether the cycle of the current respiratory waveform has ended,
[0156] If yes, proceed to step S46;
[0157] If no, continue to output the respiratory waveform of the current cycle and return to step S43;
[0158] S46, determine whether the mechanical ventilation flag of the current ventilator is 1,
[0159] If yes, the mechanical ventilation flag of the ventilator is cleared, the respiratory waveform of the next cycle is the mechanical ventilation waveform, and the process returns to step S43;
[0160] If no, the respiratory waveform of the next cycle is an assisted ventilation waveform, and the process returns to step S43.
[0161] The embodiment of the present application establishes mathematical simulation models based on different respiratory waveforms, and performs corresponding waveform simulation and output after the user selects the ventilation mode and parameter settings, thereby simulating the respiratory waveforms under different ventilation modes.
Claims
1. A respiratory waveform simulation method, characterized in that: include: S1, constructing a mathematical simulation model of a respiratory waveform, wherein the respiratory waveform includes a mechanical ventilation waveform and an assisted ventilation waveform; S2, obtaining the case to be displayed and obtaining the patient's initial respiratory status information; S3, obtaining a ventilation mode instruction of the target user based on the initial respiratory state information, and determining a target respiratory waveform corresponding to the current ventilation mode instruction based on a mapping relationship between ventilation modes and respiratory waveforms; S4, obtaining a patient breathing parameter instruction and a ventilator parameter instruction of a target user, and executing a mathematical simulation model of the target breathing waveform, including: S41, determining whether the target respiratory waveform is a single respiratory waveform, Yes, obtaining the frequency of the target respiratory waveform, calculating the period of the target respiratory waveform, and outputting the waveform in a cycle; No, go to step S42; S42, determine whether the patient's spontaneous breathing rate is greater than the mechanical ventilation rate of the ventilator, If yes, calculate the patient's spontaneous breathing cycle and the mechanical ventilation cycle of the ventilator, take the patient's spontaneous breathing cycle as the cycle of the target respiratory waveform, and proceed to step S43; If no, the mechanical ventilation cycle of the ventilator is calculated, the mechanical ventilation cycle of the ventilator is used as the target respiratory waveform cycle, and the mechanical ventilation waveform is cyclically output; S43, using the mechanical ventilation cycle of the ventilator as a counter to count down, and then proceeding to step S44; S44, determine whether the counter is 0, If yes, the counter is reset, the mechanical ventilation flag of the ventilator is set to position 1, and the process goes to step S45; No, go to step S45; S45, determine whether the current breathing waveform cycle has ended, If yes, proceed to step S46; If no, continue to output the current cycle respiratory waveform and return to step S43; S46, determine whether the mechanical ventilation flag of the current ventilator is 1, If yes, the mechanical ventilation flag of the ventilator is cleared, the respiratory waveform of the next cycle is the mechanical ventilation waveform, and the process returns to step S43; If no, the respiratory waveform of the next cycle is an assisted ventilation waveform, and the process returns to step S43.
2. The respiratory waveform simulation method according to claim 1, wherein The mechanical ventilation waveform is a pressure-type mechanical ventilation waveform, including an inspiratory phase and an expiratory phase, wherein: The mathematical simulation model expression of the inspiratory phase of the pressure-type mechanical ventilation waveform is: , The mathematical simulation model expression of the expiratory phase of the pressure-type mechanical ventilation waveform is: , Where: Pinsp is the suction pressure, L P is the airway pressure, L R is respiratory resistance, t is time, Peep is positive end-expiratory pressure, L PC It represents real-time lung compliance, Flow represents tracheal flow, Vol represents tidal volume, and P represents lung pressure.
3. The respiratory waveform simulation method according to claim 1, wherein The mechanical ventilation waveform is a volume-based mechanical ventilation waveform, including an inspiratory phase, a plateau phase, and an expiratory phase, wherein: The mathematical simulation model expression of the inspiratory phase of the volume-based mechanical ventilation waveform is: , The mathematical simulation model expression of the platform stage of volume-based mechanical ventilation waveform is: , The mathematical simulation model expression of the expiratory phase of the volume-based mechanical ventilation waveform is: , Where: Vt is the tidal volume of the ventilator, Itime is the inspiratory time, Pause is the percentage of the inspiratory pause time to the inspiratory time, Peep is the positive end-expiratory pressure, L R is the respiratory resistance, L PC is the real-time lung compliance, L P is the airway pressure, t is the time, Flow is the tracheal flow, Vol is the tidal volume, and P is the lung pressure.
4. The respiratory waveform simulation method according to any one of claims 2 or 3, characterized in that: Real-time lung compliance L PC The calculation expression is: When L P When less than or equal to 5: , When L P When greater than 5 and less than or equal to 30: , When L P When it is greater than 30: , Where: L C is the initial lung compliance, L P is the airway pressure.
5. The respiratory waveform simulation method according to claim 1, wherein: The assisted ventilation waveform is composed of an assisted breathing waveform and a trigger waveform. Assisted breathing waveform, including inspiration phase and expiration phase, where: The mathematical simulation model expression of the inspiratory phase of the assisted breathing waveform is: , The mathematical simulation model expression of the expiratory phase of the assisted breathing waveform is: , Trigger waveforms, including pressure trigger waveforms and flow trigger waveforms, where: The mathematical simulation model expression of the pressure-triggered waveform is: , The mathematical simulation model expression of the flow trigger waveform is: , Among them: PS is the support pressure, Peep is the positive end-expiratory pressure, L P is the airway pressure, L R is respiratory resistance, t is time, b is a constant, Flow is tracheal flow, Vol is tidal volume, P is lung pressure, L C is the initial lung compliance.
6. The respiratory waveform simulation method according to claim 5, characterized in that: It also includes setting the exhalation sensitivity, which is used to control the duration ratio of the inhalation phase and the exhalation phase. The specific expression is: , When Flow Exp When it is less than 0, it switches from inhalation to exhalation; Where: Esens is the exhalation sensitivity, L R is the breathing resistance, Flow Exp It is the exhalation sensitivity detection value.
7. The respiratory waveform simulation method according to claim 1, wherein: The respiratory waveform also includes a spontaneous respiratory waveform, and the mathematical simulation model expression is: , Where: L Rate is the spontaneous breathing rate, Pinsp is the inspiratory pressure, t is the time, Peep is the positive end-expiratory pressure, Flow is the tracheal flow, Vol is the tidal volume, and P is the lung pressure.
8. The respiratory waveform simulation method according to claim 1, wherein: The patient's respiratory parameters include spontaneous respiratory rate L Rate , respiratory resistance L R , initial lung compliance L C .
9. The respiratory waveform simulation method according to claim 1, wherein: The ventilator parameters include trigger mode, mechanical ventilation frequency Rate, positive end-expiratory pressure Peep, ventilator tidal volume Vt, support pressure PS, inspiratory time Itime, the percentage of inspiratory pause time to inspiratory time Pause, and inspiratory pressure Pinsp.
Citation Information
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