Measurement equipment and patient condition monitoring methods

Abstract

This application provides a measuring device and a method for monitoring a patient's condition. The measuring device includes: a gas guiding device configured to connect between a medical gas supply device and the patient side of the measuring device, and to deliver medical gas from the medical gas supply device to the patient; and at least one sensing device disposed on the outer surface of the gas guiding device and configured to detect real-time measurement data of the medical gas passing through the gas guiding device. In this way, by placing at least one sensing device on the outer surface of the gas guiding device, and since the measurement data is a relative value indicating changes in the internal environment of the gas guiding device, this avoids contamination problems compared to placing the sensor inside the respiratory device, thereby improving the safety of the measurement.

Description

Technical Field

[0001] This application relates to the field of medical technology, and in particular to a measuring device, a method for monitoring patient conditions, and related products. Background Technology

[0002] Measurement devices play a crucial role in the operation of respiratory equipment. Respiratory equipment can be used for patients who cannot ensure adequate ventilation through spontaneous breathing, such as those suffering from respiratory illness caused by the COVID-19 virus (COVID-19).

[0003] The function of respiratory equipment is to help patients with respiratory failure. Respiratory equipment exchanges gases and energy (such as heat) through devices such as breathing circuits, masks, or nasal cannulas.

[0004] This background information is provided to disclose information that the applicant believes may be relevant to this application. It is not required to acknowledge, nor should it be construed, that any of the above information constitutes prior art to this application. Summary of the Invention

[0005] This application provides a measuring device, a method for monitoring patient conditions, and related products.

[0006] The foregoing and other objectives are achieved through the subject matter of the independent claims. Further embodiments are apparent from the dependent claims, the specification, and the drawings.

[0007] The first aspect of this application provides a measuring device, comprising:

[0008] A gas guiding device is configured to connect between a medical gas supply device and a measuring device on the patient side, and to deliver medical gas from the medical gas supply device to the patient; and

[0009] At least one sensing device is placed on the outer surface of the gas guiding device and configured to detect real-time measurement data of medical gas passing through the gas guiding device.

[0010] The aforementioned measuring devices provide patient monitoring for non-invasive respiratory support. Furthermore, at least one sensing device is placed on the outer surface of the gas guiding device. Because the collected measurement data are relative values, indicating changes in the internal environment of the gas guiding device, this avoids contamination issues and improves measurement safety compared to placing sensors inside the respiratory device.

[0011] In one possible implementation, real-time measurement data indicates changes in at least one of airway pressure, airflow rate, and respiratory rate.

[0012] In one possible implementation, the sidewall at the sensing device of the gas guiding device is thinner or more flexible than the sidewall at other locations.

[0013] On the one hand, this design makes it easier to install the sensing device; on the other hand, it can improve the accuracy of the measurement data.

[0014] In one possible implementation, at least one sensing device includes at least one tactile sensor, and the at least one tactile sensor is positioned close to the patient's accessory muscles; and

[0015] The measurement data indicates the real-time range of motion of the accessory muscles.

[0016] In one possible implementation, at least one sensing device includes a plurality of tactile sensors, and the plurality of tactile sensors are distributed in an array along the gas guiding device.

[0017] The measurement data obtained by the individual tactile sensors distributed in an array can be from the same location and can be used for calibration, thereby improving the accuracy of the calibrated measurement data.

[0018] In one possible implementation, at least one sensing device includes at least one first tactile sensor and at least one second tactile sensor;

[0019] The gas guiding device includes a front catheter, a middle catheter, and a rear catheter connected in sequence. The front catheter is positioned close to the patient, and the rear catheter is positioned close to the medical gas supply device; and

[0020] At least one first tactile sensor is placed on the outer surface of the front end conduit, and at least one second tactile sensor is placed on the outer surface of the rear end conduit.

[0021] The first and second tactile sensors are placed in different positions, and the measurement data detected from these different positions can be used for calibration, thereby improving the accuracy of the calibrated measurement data.

[0022] In one possible implementation, the front end catheter is a non-heated breathing catheter, and the rear end catheter is a heated breathing catheter.

[0023] The heated breathing tube is positioned close to the medical gas supply device. When humid air passes through the heated breathing tube, condensation does not occur because the temperature of the air is approximately the same as the temperature of the heated breathing tube. This solves the condensation problem.

[0024] In one possible implementation, at least one sensing device is further configured to:

[0025] Determine whether the measurement data is abnormal based on a preset threshold; and

[0026] An alarm signal is triggered in response to the determination that the measurement data is abnormal.

[0027] In one possible implementation, the sensing device is communicatively connected to a control device and configured to send measurement data to the control device for analysis.

[0028] In one possible implementation, at least one sensing device is further configured to perform a preliminary filtering operation on the measurement data before sending the measurement data to the control device.

[0029] Preliminary filtering can remove interference signals; for example, measurement data obtained during non-monitoring periods can be excluded from transmission to the control equipment. This allows for more efficient subsequent processing by the control equipment.

[0030] In one possible implementation, the gas guiding device includes a flexible conduit.

[0031] A second aspect of this application provides a method for monitoring a patient's condition, the method being executed by a controlled device, the method comprising:

[0032] Receive real-time measurement data from at least one sensing device, wherein the real-time measurement data indicates changes in at least one of the airway pressure, airflow rate, and respiratory rate of the medical gas delivered to the patient;

[0033] Determine if the real-time measurement data is abnormal; and

[0034] In response to the determination that the real-time measurement data is abnormal, the amount of medical gas is adjusted according to the real-time measurement data.

[0035] Because the measurement data is a relative value, which indicates changes in the internal environment of the gas guiding device, this avoids contamination problems compared to placing sensors inside the breathing equipment.

[0036] In one possible implementation, the sensing device includes a plurality of tactile sensors distributed in an array;

[0037] Receive real-time measurement data transmitted by at least one sensing device, including:

[0038] It receives real-time measurement data detected by multiple tactile sensors; and

[0039] Calibration is performed based on the received real-time measurement data to obtain calibrated measurement data;

[0040] Adjusting the amount of medical gas based on real-time measurement data, including:

[0041] Adjust the amount of medical gas based on the calibrated measurement data.

[0042] Calibration is performed based on real-time measurement data obtained from multiple tactile sensors, so that the accuracy of the measurement data can still be ensured even if one sensor fails.

[0043] In one possible implementation, the method further includes:

[0044] Trigger the image acquisition device to capture real-time images of the patient; and

[0045] Receive real-time images of the patient from the image acquisition device;

[0046] Adjusting the amount of medical gas based on real-time measurement data, including:

[0047] The amount of medical gas is adjusted based on real-time measurement data and real-time images of the patient.

[0048] By combining information provided by image acquisition and sensing devices, a patient's condition can be assessed and determined promptly and effectively. Therefore, physicians can make optimal treatment decisions. Furthermore, this method is a non-invasive monitoring approach that allows monitoring of the patient's condition without requiring any other objects that could interfere with the patient besides the respiratory equipment itself.

[0049] In one possible implementation, after receiving real-time images of the patient from the image acquisition device, the method further includes:

[0050] The real-time image is compared with a preset reference image to determine if the real-time image is abnormal; and

[0051] In response to determining that the real-time image is abnormal, an alarm message is sent to the client.

[0052] In one possible implementation, after receiving real-time measurement data from at least one sensing device, the method further includes:

[0053] Analyze the detected real-time measurement data to obtain respiratory parameters;

[0054] Data corresponding to visual charts is generated based on respiratory parameters; and

[0055] Send the data corresponding to the visual chart to the display device.

[0056] In one possible implementation, determining whether real-time measurement data is abnormal includes:

[0057] When respiratory parameters exceed corresponding preset thresholds, the real-time measurement data is determined to be abnormal; and

[0058] The method also includes:

[0059] Send alarm information to the client.

[0060] A third aspect of this application provides a computer-readable storage medium configured to store a computer program that enables a computer to implement the method according to the second aspect or any possible implementation thereof.

[0061] The fourth aspect of this application provides a computer program product including computer execution instructions, wherein when the computer execution instructions are executed by a processor, they implement the method according to the second aspect or any possible implementation thereof.

[0062] The fifth aspect of this disclosure provides a computer program, wherein, when executed by a processor, the computer program implements the method of the second aspect or any possible implementation thereof.

[0063] This application provides a measuring device, a patient condition monitoring method, and related products. The measuring device includes: a gas guiding device configured to connect between a medical gas supply device and the patient side of the measuring device, and to deliver medical gas from the medical gas supply device to the patient; and at least one sensing device disposed on the outer surface of the gas guiding device and configured to detect real-time measurement data of the medical gas passing through the gas guiding device. In this way, with at least one sensing device disposed on the outer surface of the gas guiding device, and since the collected measurement data is a relative value indicating changes in the internal environment of the gas guiding device, this avoids contamination problems compared to placing the sensor inside the respiratory device, thereby improving the safety of the measurement. Attached Figure Description

[0064] The accompanying drawings are provided to further understand this application, form part of the specification, and are used to explain this application together with the following specific embodiments, but should not be construed as limiting this application.

[0065] Figure 1 A schematic diagram of a medical gas delivery system according to an embodiment of this application is shown.

[0066] Figure 2 A structural diagram of a measuring device provided in one embodiment of this application is shown.

[0067] Figure 3 An example scenario of a measuring device provided in one embodiment of this application is shown.

[0068] Figure 4 An example scenario of a measuring device provided by another embodiment of this application is shown.

[0069] Figure 5 A schematic flowchart of a patient condition monitoring method provided in one embodiment of this application is shown.

[0070] Figure 6 A flowchart illustrating a patient condition monitoring method according to another embodiment of this application is shown.

[0071] Figure 7 A flowchart illustrating a patient condition monitoring method provided in another embodiment of this application is shown.

[0072] Figure 8 A schematic diagram of a medical gas delivery system according to another embodiment of this application is shown.

[0073] Figure 9 A block diagram of a control device provided in one embodiment of this application is shown.

[0074] Figure 10 A schematic diagram of the structure of a control device provided in an embodiment of this application is shown. Detailed Implementation

[0075] The accompanying drawings, mentioned in the following description, form part of this application and illustrate by way of example specific aspects of embodiments of this application or specific aspects in which embodiments of this application may be used. It should be understood that embodiments of this application may be used in other aspects and include structural or logical variations not depicted in the drawings. Therefore, the following detailed description should not be considered limiting, and the scope of this application is defined by the appended claims.

[0076] Respiratory devices are widely used in the medical field. For example, they can be used to help patients with respiratory failure caused by the COVID-19 virus. Typically, sensors are configured to detect and measure data and send it to a controller, which then uses this data to develop an operating strategy for the respiratory device.

[0077] In existing technologies, the measurement data monitored by the sensing device are absolute values. This sensing device can be used as a pressure sensor and / or flow sensor built into a respiratory device for both invasive and non-invasive ventilation. For example, proximal sensors, i.e., pressure and / or flow sensors, can be configured to be placed near the patient's airway. Proximal sensors placed near the patient's airway are more sensitive to the patient's breathing effort due to their proximity to the airway. In this conventional approach, these pressure and flow sensors, being close to the patient's airway, are also susceptible to contamination from the patient's airway. For example, because the sensors are placed near the patient's airway, their performance may be affected by vapors or gases passing through the airway, posing a risk of biocompatibility issues. In other words, there are safety concerns.

[0078] This application provides a measuring device, a patient condition monitoring method, and a respiratory device. The measuring device includes: a gas guiding device connected between a medical gas supply device and a patient and configured to deliver medical gas from the medical gas supply device to the patient; and at least one sensing device disposed on the outer surface of the gas guiding device and configured to detect real-time measurement data of the medical gas passing through the gas guiding device. In this way, with at least one sensing device disposed on the outer surface of the gas guiding device, and since the collected measurement data is a relative value indicating changes in the internal environment of the gas guiding device, this avoids contamination problems compared to placing the sensor inside the respiratory device, thereby improving measurement safety.

[0079] The technical solution of this application will now be described in detail with reference to the accompanying drawings.

[0080] For example, Figure 1 A medical gas delivery system 100 according to an embodiment of this application is illustrated. The system 100 includes a measuring device 110, a control device 120, and a medical gas supply device 130, wherein the measuring device 110 includes a gas guiding device 112 and a sensing device 114. The sensing device 114 is configured to detect real-time measurement data of the medical gas passing through the gas guiding device 112. The measuring device 110 is connected to both the control device 120 and the medical gas supply device 130, and the control device 120 is connected to the medical gas supply device 130. Based on the real-time measurement data from the measuring device 110, the control device 120 regulates the ventilation through the gas guiding device 112 by controlling the medical gas supply device 130.

[0081] It should be noted that the medical gas supply device 130 can provide oxygen, compressed air, nitrogen, nitrous oxide, carbon dioxide, and other gases according to actual needs. For example, the medical gas supply device 130 can be an oxygen supply device, and the control device 120 can be integrated into the respiratory equipment or can be independent of the respiratory equipment. For example, the control device 120 and the oxygen supply device can both be integrated into the respiratory equipment, allowing the respiratory equipment to adjust and provide oxygenated gas to the patient based on real-time measurement data from the measuring device 110.

[0082] Figure 1 The gas guiding device 112, sensing device 114, control device 120, and medical gas supply device 130 are illustrated, but this application is not limited to such an arrangement. System 100 may include other devices, such as adjustment mechanisms, display components, etc.

[0083] An embodiment of this application provides a measuring device 200, comprising:

[0084] Gas guiding device 210 is configured to connect between the medical gas supply device and the patient side of the measuring device, and to deliver medical gas from the medical gas supply device to the patient; and

[0085] At least one sensing device 220 is placed on the outer surface of the gas guiding device 210 and configured to detect real-time measurement data of medical gas passing through the gas guiding device 210.

[0086] The medical gas supply device delivers medical gas to the patient via a gas guiding device 210, which may be a flexible catheter. At least one sensing device 220 is disposed on the outer surface of the gas guiding device 210, wherein the sensing device may be a sensor capable of sensing changes in the gas guiding device 210 and detecting specific changes. For example, the sensing device may include a pressure sensor, a flow sensor, a sound sensor, a motion sensor, a tactile sensor, etc.

[0087] The aforementioned measuring devices provide patient monitoring for non-invasive respiratory support. Furthermore, at least one sensing device is placed on the outer surface of the gas guiding device. Because the collected measurement data are relative values, indicating changes in the internal environment of the gas guiding device, this avoids contamination issues and improves measurement safety compared to placing sensors inside the respiratory device.

[0088] In one possible implementation, real-time measurement data indicates changes in at least one of airway pressure, airflow rate, and respiratory rate. Respiratory rate describes the number of breaths per minute. Airflow rate is a volume parameter that can be detected in the tubing from the inlet to the expiratory valve. Airway pressure is a mechanical ventilation parameter that should be maintained within a normal range to ensure proper ventilation of the patient. These parameters indicate the patient's respiratory status and are crucial for regulating the amount of medical gas.

[0089] In one possible implementation, the sidewall of the gas guiding device at the sensor location is thinner or more flexible than the sidewalls at other locations. On the one hand, this design makes sensor installation easier; on the other hand, it improves the accuracy of the measurement data.

[0090] In one possible implementation, at least one sensing device includes at least one tactile sensor, and the at least one tactile sensor is positioned close to the patient's accessory muscles; and

[0091] The measurement data indicates the real-time range of motion of the accessory muscles.

[0092] The tactile sensor is made of a flexible material. A tactile sensor is a sensor that can provide information about the object it is in contact with. It is lightweight, making it suitable for placement on the outer surface of the gas guiding device. This information can be measurement data. The location near the patient's accessory muscles could be somewhere around the patient's neck / chest / spine, for example, as shown below. Figure 3 P2 and below Figure 4 P4 in the image. This location may be more convenient for the patient. When the above locations include areas around the neck, the above information may include respiratory rate, which can be used for data calibration.

[0093] Tactile sensors can be printable and can be printed on any location on the outer surface of a respiratory device, either directly or indirectly, that interfaces with the patient, such as a nasal cannula, catheter, connector, strap, or any other part of the device. Tactile sensors provide non-invasive monitoring of the patient's condition.

[0094] In one possible implementation, at least one sensing device includes a plurality of tactile sensors, which are distributed in an array along the gas guiding device. The measurement data obtained by the individual tactile sensors distributed in the array can be measurement data from the same location and can be used for calibration, thereby improving the accuracy of the calibrated measurement data.

[0095] In one possible implementation, such as Figure 2 As shown, at least one sensing device 220 includes at least one first tactile sensor 222 and at least one second tactile sensor 224;

[0096] The gas guiding device 210 includes a front-end catheter, a middle-end catheter, and a rear-end catheter connected in sequence. The front-end catheter is positioned close to the patient, and the rear-end catheter is positioned close to the medical gas supply device.

[0097] At least one first tactile sensor 222 is placed on the outer surface of the front end conduit, and at least one second tactile sensor 224 is placed on the outer surface of the rear end conduit.

[0098] The first and second tactile sensors are positioned at different locations, and the measurement data detected from these different locations can be used for calibration, thereby improving the accuracy of the calibrated measurement data. In one possible implementation, the front conduit is a non-heated breathing conduit, and the rear conduit is a heated breathing conduit. If humid air passes through a lower-temperature conduit, condensation will occur; therefore, the conduit may generate noise, and the condensed water will flow along the conduit, affecting the use of the breathing device. By positioning the heated breathing conduit close to the medical gas supply device, condensation will not occur when humid air passes through it, as the air temperature is approximately the same as the temperature of the heated breathing conduit. This solves the condensation problem.

[0099] In one possible implementation, at least one sensing device is further configured to:

[0100] Determine whether the measurement data is abnormal based on a preset threshold; and

[0101] An alarm signal is triggered in response to the determination that the measurement data is abnormal.

[0102] Taking airway pressure as an example, when the change in airway pressure exceeds a preset threshold (e.g., 10%), the current airway pressure is considered abnormal, and the sensor triggers an alarm signal. The preset threshold can be set by the user according to actual needs. This user can be a doctor, nurse, etc.

[0103] In one possible implementation, the sensing device is communicatively connected to a control device and configured to transmit measurement data to the control device for analysis. The sensing device can be connected to the control device via a wired or wireless connection. The control device can be integrated into the respiratory device or can be independent of it.

[0104] In one possible implementation, at least one sensing device is further configured to perform a preliminary filtering operation on the measurement data before sending it to the control device. This preliminary filtering operation removes interfering signals; for example, measurement data obtained during non-monitoring periods may not be sent to the control device. This allows for more efficient subsequent processing by the control device. This subsequent processing may include determining the ventilation mode and providing specific parameters to the patient.

[0105] An example scenario for measuring equipment could be as follows: Figure 3 and Figure 4 As shown, the sensor's location in the diagram is for illustrative purposes only. The measuring device can be connected to the main body of the breathing device. For example, as... Figure 3 and Figure 4 As shown, P1 and P3 indicate possible locations for pressure sensors used to detect respiratory effort, and P2 and P4 indicate possible locations for pressure sensors used to detect the amplitude of accessory muscle movement. For example, when using this device, P2 and P4 would be locations around the patient's neck / chest / spine.

[0106] This application provides a method for monitoring a patient's condition, which is executed by a control device. For example... Figure 5 As shown, the method includes the following steps.

[0107] Step 510: Receive real-time measurement data from at least one sensing device, wherein the real-time measurement data indicates changes in at least one of the airway pressure, airflow rate, and respiratory rate of the medical gas delivered to the patient.

[0108] Airflow rate is a volume parameter that can be detected in the tubing from the inlet to the expiratory valve. Airway pressure is a mechanical ventilation parameter. Airflow rate and airway pressure should be maintained within normal ranges to ensure proper ventilation of the patient. These parameters indicate the patient's respiratory status and are crucial for regulating the amount of medical gas. At least one sensing device may be placed on the outer surface of the gas guide device and configured to detect real-time measurements of the medical gas passing through the gas guide device.

[0109] Step 520: Determine if the real-time measurement data is abnormal.

[0110] Real-time measurement data can be compared with a preset range to determine whether the real-time measurement data is abnormal, where the preset range can be obtained based on experimental data. For example, when the real-time measurement data is within the preset range, it is determined that the real-time measurement data is normal; and when the real-time measurement data exceeds the preset range, it is determined that the real-time measurement data is abnormal. The implementation method is not limited to this.

[0111] Step 530: In response to determining that the real-time measurement data is abnormal, adjust the amount of medical gas based on the real-time measurement data.

[0112] For example, if the change in the current respiratory rate is determined to be abnormal, specifically indicating that the current respiratory rate is above the upper limit of the normal range, the amount of medical gas can be increased.

[0113] As mentioned above, since the measurement data is a relative value, which indicates changes in the internal environment of the gas guiding device, this avoids contamination problems compared to placing the sensor inside the breathing device.

[0114] In one possible implementation, the sensing device includes a plurality of tactile sensors distributed in an array, such as Figure 6 As shown, the method includes:

[0115] Step 610: Multiple tactile sensors send real-time measurement data to the control device, and the control device receives the real-time measurement data sent by the multiple tactile sensors;

[0116] Step 620: The control device performs calibration based on the received real-time measurement data to obtain calibrated measurement data;

[0117] Step 630: The control device determines whether the real-time measurement data is abnormal; and

[0118] Step 640: In response to determining that the real-time measurement data is abnormal, the control device adjusts the amount of medical gas based on the calibrated measurement data.

[0119] The implementation methods of steps 610, 630 and 640 are similar to those of steps 510, 520 and 530, respectively, and will not be described again here.

[0120] Regarding step 620, the measurement data obtained by the various tactile sensors distributed in an array can be measurement data from the same location and can be used for calibration, thereby improving the accuracy of the final measurement data. For example, three tactile sensors are distributed in an array to monitor data at position P1, and the detected measurement data are referred to as D1, D2, and D3, respectively. Then, similarity is calculated, namely, the first similarity S1 between D1 and D2, the second similarity S2 between D1 and D3, and the third similarity S3 between D2 and D3. If the similarity is less than a preset value, the corresponding measurement data is considered to be abnormal. For example, if S1 and S2 are lower than the preset value, while S3 is higher than the preset value, the measurement data D1 is considered to be abnormal. Then, the measurement data D1 can be deleted, and the measurement data D2 and D3 can be averaged to obtain calibrated measurement data. The implementation of similarity calculation is not limited to this.

[0121] Measurement data calibration is performed based on real-time measurement data obtained from multiple tactile sensors, so that the accuracy of the measurement data can still be ensured even if one sensor fails.

[0122] In one possible implementation, such as Figure 7 As shown, the method includes:

[0123] Step 710: Receive real-time measurement data sent by at least one sensing device;

[0124] Step 720: Determine if the real-time measurement data is abnormal;

[0125] Step 730: In response to determining that the real-time measurement data is abnormal, trigger the image acquisition device to capture a real-time image of the patient;

[0126] Step 740: Receive real-time images of the patient from the image acquisition device; and

[0127] Step 750: In response to determining that the real-time measurement data is abnormal, adjust the amount of medical gas based on the real-time measurement data and the patient's real-time image.

[0128] The implementation methods of steps 710 and 720 are similar to those of steps 510 and 520, respectively, and will not be described again here.

[0129] Regarding steps 730 to 750, the accessory muscles can be located somewhere around the patient's neck / chest / spine. The image acquisition device can be a camera. Taking respiratory rate as an example, different respiratory rates may correspond to different amplitudes of movement of the accessory muscles. Real-time measurement data can indicate the respiratory rate detected by sensors placed on the outer surface of the gas delivery device. When an abnormality in the indicated respiratory rate is determined, the image acquisition device is triggered to capture a real-time image of the patient. Figure 8 As shown, the image acquisition device 840 can be connected to the control device 820 via a wired or wireless connection. For example, the control device 820 can send a signal to the image acquisition device 840 to trigger it to capture a real-time image of the patient's side 860. Therefore, by analyzing the image of the accessory muscle, the real-time amplitude of its movement can be obtained. Extensive information related to the accessory muscle can be captured based on its real-time amplitude of movement.

[0130] The combination of cameras and sensors to monitor patients—a task traditionally performed by doctors or other caregivers through rounds—allows for timely and effective assessment and determination of the patient's condition. This enables doctors to make optimal treatment decisions. Furthermore, this method is non-invasive, requiring no other objects besides the respiratory equipment itself to monitor the patient.

[0131] In one possible implementation, after receiving real-time images of the patient from the image acquisition device, the method further includes:

[0132] The real-time image is compared with a preset reference image to determine if the real-time image is abnormal; and

[0133] In response to determining that the real-time image is abnormal, an alarm message is sent to the client.

[0134] The client can be a client (e.g., an operating terminal such as a smartphone) for medical personnel (e.g., doctors and nurses). Alarm information can include alarm signals, allowing the physician or nurse to reach the patient and immediately observe their condition upon receiving the alarm. This helps medical personnel effectively monitor the patient's real-time condition. Alarm information can also include anomalous images, enabling the physician or nurse to determine the urgency of multiple events and make the appropriate decision. Furthermore, anomalous images can be stored for other requirements. Preset reference images can be pre-captured images of the patient under normal conditions.

[0135] In one possible implementation, after receiving real-time measurement data from at least one sensing device, the method further includes:

[0136] Analyze the detected real-time measurement data to obtain respiratory parameters;

[0137] Data corresponding to visual charts is generated based on respiratory parameters; and

[0138] Send the data corresponding to the visual chart to the display device.

[0139] Real-time measurement data is the output data of the sensing device; for example, it can be in the form of an electrical signal. Therefore, it is necessary to analyze the output data of the sensing device to obtain a simple visualization. Respiratory parameters can include airway pressure, airflow rate, and respiratory rate, etc. Furthermore, changes in respiratory parameters over time can be displayed in graphical form. Figure 8 As shown, the display device 850 is connected to the control device 820, and the control device 820 can send data corresponding to the chart to the display device 850. Users can observe the changes through the chart, thereby improving the user experience.

[0140] In one possible implementation, determining whether real-time measurement data is abnormal includes:

[0141] When respiratory parameters exceed corresponding preset thresholds, the real-time measurement data is determined to be abnormal; and

[0142] The method also includes:

[0143] Send alarm information to the client.

[0144] Taking airway pressure as an example, when the change in airway pressure exceeds a preset threshold, such as 10%, it is considered an abnormal airway pressure, and the control device sends an alarm message to the client. The preset threshold can be set by the user through the client according to actual needs. The client can be a client for medical personnel (such as physicians and nurses). This helps medical personnel effectively monitor the patient's real-time condition.

[0145] Figure 9 A block diagram of a control device provided in an embodiment of this application is shown. Figure 9 As shown, the control device 900 includes:

[0146] The receiving unit 910 is configured to receive real-time measurement data transmitted by at least one sensing device, wherein the real-time measurement data indicates changes in at least one of the airway pressure, airflow rate, and respiratory rate of the medical gas delivered to the patient.

[0147] Determination unit 920 is used to determine whether real-time measurement data is abnormal; and

[0148] Adjustment unit 930 is used to adjust the amount of medical gas based on real-time measurement data in response to determining that real-time measurement data is abnormal.

[0149] In one possible implementation, the sensing device includes a plurality of tactile sensors distributed in an array, and a receiving unit 910 for receiving real-time measurement data detected by the plurality of tactile sensors respectively; the control device 900 further includes: a calibration unit for calibrating based on the received real-time measurement data to obtain calibrated measurement data; and an adjustment unit 930 for adjusting the amount of medical gas according to the calibrated measurement data.

[0150] In one possible implementation, the control device 900 further includes: a processing unit for triggering an image acquisition device to capture a real-time image of the patient in response to determining that the real-time measurement data is abnormal; a receiving unit 910 for receiving the real-time image of the patient from the image acquisition device; and an adjustment unit 930 for adjusting the amount of medical gas based on the real-time measurement data and the real-time image of the patient.

[0151] In one possible implementation, the processing unit is further configured to compare the real-time image with a preset reference image to determine whether the real-time image is abnormal; and in response to determining that the real-time image is abnormal, to send an alarm message to the client.

[0152] In one possible implementation, the control device further includes an analysis unit for analyzing detected real-time measurement data to obtain respiratory parameters; a generation unit for generating data corresponding to a visual chart based on the respiratory parameters; and a sending unit for sending the data corresponding to the visual chart to a display device.

[0153] In one possible implementation, the determining unit 920 is further configured to determine that the real-time measurement data is abnormal when the respiratory parameter is greater than the corresponding preset threshold; and the sending unit is further configured to send alarm information to the client.

[0154] like Figure 10 As shown, the control device 1000 may include a memory 1010 and a processor 1020, wherein a computer program is stored in the memory 1010 and configured to be executed by the processor 1020 to implement the steps described in the above embodiments. Furthermore, the control device 1000 may also include a communication unit 1030 for communicating with sensing devices and / or clients. The computer program (also referred to as a program, software, software application, or code) includes machine instructions for a programmable processor and can be implemented using high-level procedural and embedded programming languages ​​or assembly / machine languages.

[0155] Embodiments of this application provide a computer-readable storage medium configured to store a computer program that causes a computer to perform the following steps:

[0156] Receive real-time measurement data from at least one sensing device, wherein the real-time measurement data indicates changes in at least one of the airway pressure, airflow rate, and respiratory rate of the medical gas delivered to the patient;

[0157] Determine if the real-time measurement data is abnormal; and

[0158] In response to the determination that the real-time measurement data is abnormal, the amount of medical gas is adjusted according to the real-time measurement data.

[0159] In one possible implementation, the sensing device includes a plurality of tactile sensors distributed in an array;

[0160] Receive real-time measurement data transmitted by at least one sensing device, including:

[0161] It receives real-time measurement data detected by multiple tactile sensors; and

[0162] Calibration is performed based on the received real-time measurement data to obtain calibrated measurement data;

[0163] Adjusting the amount of medical gas based on real-time measurement data, including:

[0164] Adjust the amount of medical gas based on the calibrated measurement data.

[0165] In one possible implementation, it also includes:

[0166] In response to determining that the real-time measurement data is abnormal, the image acquisition device is triggered to capture a real-time image of the patient; and

[0167] Receive real-time images of the patient from the image acquisition device;

[0168] Adjusting the amount of medical gas based on real-time measurement data, including:

[0169] The amount of medical gas is adjusted based on real-time measurement data and real-time images of the patient.

[0170] In one possible implementation, the detected real-time measurement data is calibrated based on the current real-time amplitude of the accessory muscle to obtain calibrated measurement data, including:

[0171] The real-time image is compared with a preset reference image to determine if the real-time image is abnormal; and

[0172] In response to determining that the real-time image is abnormal, an alarm message is sent to the client.

[0173] In one possible implementation, after receiving real-time measurement data from at least one sensing device, the method further includes:

[0174] Analyze the detected real-time measurement data to obtain respiratory parameters;

[0175] Data corresponding to visual charts is generated based on respiratory parameters; and

[0176] Send the data corresponding to the visual chart to the display device.

[0177] In one possible implementation, determining whether real-time measurement data is abnormal includes:

[0178] When respiratory parameters exceed corresponding preset thresholds, the real-time measurement data is determined to be abnormal; and

[0179] The method also includes:

[0180] Send alarm information to the client.

[0181] Embodiments of this application also provide a computer program product, including computer execution instructions, wherein the above method is implemented when the computer execution instructions are executed by a processor.

[0182] Embodiments of this application also provide a computer program in which the above-described method is implemented when the program is executed by a processor.

[0183] Those skilled in the art should understand that the descriptions of the above steps in the embodiments of this application can be understood by referring to the descriptions of the patient condition monitoring methods in the embodiments of this application.

[0184] In the embodiments of this application, terms such as "and / or" are used only to describe the association between associated objects, and they indicate that there can be three kinds of relationships. For example, A and / or B can indicate that only A exists, A and B exists, and only B exists.

[0185] Terms such as “one” or “a” are not intended to specify one or a single element, but can be used to indicate multiple elements when appropriate.

[0186] In the embodiments of this application, expressions such as "example" or "for example" are used to indicate illustration of examples or instances. Any embodiment or design described as an "example" or "for example" in the embodiments of this application should not be construed as being more preferred or advantageous than other embodiments or designs. In particular, the use of "example" or "for example" is intended to present related concepts in a particular manner.

[0187] It should be understood that, based on the various processes described above, steps can be rearranged, added, or deleted. For example, the steps described in this application can be performed in parallel, sequentially, or in a different order, as long as the desired results of the technical solutions disclosed in this application can be achieved, and the order of these steps is not limited herein.

[0188] In one or more examples, the described functionality may be implemented by hardware, software, firmware, or any combination thereof. If implemented in software, the functionality may be stored on a computer-readable storage medium or transmitted as one or more instructions on a computer-readable storage medium, and executed by a hardware-based processing unit. A computer-readable medium may include a computer-readable storage medium corresponding to a tangible medium such as a data storage medium, or a communication medium that facilitates, for example, the transfer of a computer program from one place to another according to a communication protocol. In such cases, a computer-readable medium may generally correspond to (1) a non-transitory tangible computer-readable storage medium, or (2) a communication medium such as a signal or carrier wave. A data storage medium may be any available medium that can be accessed by one or more computers or one or more processors to retrieve instructions, code, and / or data structures for implementing the techniques described in this application. A computer program product may include a computer-readable medium.

[0189] Finally, it should be noted that the above embodiments are merely for describing the technical solutions of the present invention, and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features, without departing from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A measuring device, characterized in that The measurement device comprises: a gas guiding device configured to be operatively connected between a medical gas supply device and a patient side of a measurement device, and to deliver medical gas from the medical gas supply device to the patient; and at least one sensing device disposed on an outer surface of the gas guiding device and configured to detect real-time measurement data of the medical gas passing through the gas guiding device, the real-time measurement data being a relative value indicative of a change in an internal environment of the gas guiding device; wherein the at least one sensing device comprises at least one first tactile sensor and at least one second tactile sensor, the at least one first tactile sensor and the at least one second tactile sensor being disposed at different positions on the outer surface of the gas guiding device, the information obtained by the first tactile sensor and the second tactile sensor being used to calibrate the real-time measurement data; wherein the at least one sensing device further comprises a plurality of tactile sensors distributed in an array along the gas guiding device, and the information obtained by each tactile sensor of the plurality of tactile sensors is information from the same position, used to calibrate the real-time measurement data.

2. The measuring device of claim 1, wherein, The real-time measurement data is indicative of a change in at least one of airway pressure, airflow rate, and respiratory rate.

3. The measuring device of claim 1, wherein, The sidewall at the sensing device on the gas guiding device is thinner or softer relative to the sidewall at other positions.

4. The measurement device of any one of claims 1 to 3, wherein: the gas guiding device comprises a front-end conduit, a middle-end conduit, and a back-end conduit connected in sequence, the front-end conduit being arranged proximate to the patient, and the back-end conduit being arranged proximate to the medical gas supply device; and the at least one first tactile sensor is disposed on an outer surface of the front-end conduit, and the at least one second tactile sensor is disposed on an outer surface of the back-end conduit.

5. The measuring device of claim 4, wherein, The front-end conduit is a non-heated breathing conduit, and the back-end conduit is a heated breathing conduit.

6. The measuring device according to any one of claims 1 to 3, characterized in that, The at least one sensing device is further configured to: determine whether the measurement data is abnormal according to a preset threshold; and in response to determining that the measurement data is abnormal, trigger an alarm signal.

7. The measuring device according to any one of claims 1 to 3, characterized in that, The sensing device is communicatively connected with a control device and is configured to send the measurement data to the control device for analysis of the measurement data.

8. The measuring device of claim 7, wherein, The at least one sensing device is further configured to perform a preliminary filtering operation on the measurement data before sending the measurement data to the control device.

9. The measuring device according to any one of claims 1 to 3, characterized in that, The gas guiding device comprises a flexible conduit.

10. The measuring device according to any one of claims 1 to 3, characterized in that, The gas guiding device indirectly interfaces with the patient.

11. The measuring device according to any one of claims 1 to 3, characterized in that, The at least one first tactile sensor and the at least one second tactile sensor non-invasively monitor the condition of the patient.

12. A control device characterized by comprising: The measurement device comprises: a receiving unit configured to receive real-time measurement data from a measurement device according to claim 1, wherein the real-time measurement data is indicative of a change in at least one of airway pressure, airflow rate, and respiratory rate of medical gas delivered to a patient; a determining unit configured to determine whether the real-time measurement data is abnormal; and a triggering unit configured to trigger an alarm signal in response to determining that the real-time measurement data is abnormal. an adjusting unit configured to adjust an amount of the medical gas according to the real-time measurement data in response to determining that the real-time measurement data is abnormal.

13. The control device according to claim 12, characterized by Further comprising a processing unit; the processing unit is configured to trigger an image acquisition device to capture a real-time image of the patient; the receiving unit is configured to receive the real-time image of the patient from the image acquisition device; the adjusting unit is configured to adjust an amount of the medical gas according to the real-time measurement data and the real-time image of the patient.

14. The control device of claim 13, wherein, the processing unit is configured to compare the real-time image with a preset reference image to determine whether the real-time image is abnormal; and in response to determining that the real-time image is abnormal, send an alarm information to a client.

15. The control device according to any one of claims 12 to 14, characterized by Further comprising an analyzing unit, a generating unit and a sending unit; the analyzing unit is configured to analyze the detected real-time measurement data to obtain a breathing parameter; the generating unit is configured to generate data corresponding to a visual chart according to the breathing parameter; the sending unit is configured to send the data corresponding to the visual chart to a display device.

16. The control device according to claim 15, characterized by the determining unit is configured to: determine that the real-time measurement data is abnormal when the breathing parameter is greater than a corresponding preset threshold value; the sending unit is configured to send an alarm information to a client.

17. A computer-readable storage medium, characterized in that, The computer readable storage medium is configured to store a computer program, and the computer program causes a computer to: receive real-time measurement data from the measurement device of claim 1, wherein the real-time measurement data indicates a change in at least one of airway pressure, airflow rate and breathing rate of the medical gas delivered to the patient; determine whether the real-time measurement data is abnormal; and in response to determining that the real-time measurement data is abnormal, adjust an amount of the medical gas according to the real-time measurement data.

Images