Measurement device and patient condition monitoring method

Abstract

The embodiment of the invention provides measuring equipment and a patient condition monitoring method. The measuring apparatus includes: a gas guide device configured to be connected between a medical gas supply device and a patient side of the measuring apparatus 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 directing device and configured to detect real-time measurement data of the medical gas passing through the gas directing device. In this way, the at least one sensing device is arranged on the outer surface of the gas guiding device, and since the measured data is the relative value which indicates the change of the internal environment of the gas guiding device, compared with the situation that a sensor is arranged inside the breathing equipment, the pollution problem can be avoided, and therefore the measurement safety is improved.

Description

[0001] Cross-reference to related applications

[0002] This application claims priority to U.S. Patent Application No. 17 / 746,251, filed on May 17, 2022. The disclosure of the foregoing application is incorporated herein by reference in its entirety. Technical Field

[0003] The present application relates to the field of medical technology, and in particular to a measuring device, a patient condition monitoring method, and related products. Background Art

[0004] Measuring devices play a key role in the operation of ventilators for patients who are unable to ensure adequate ventilation through spontaneous breathing, for example, patients with respiratory diseases caused by the COVID-19 virus (COVID-19).

[0005] The function of respiratory equipment is to help patients with respiratory insufficiency. Respiratory equipment exchanges gas and energy (such as heat energy) through devices such as breathing circuits, masks or nasal cannulae.

[0006] This background information is provided to disclose information that the applicant believes may be relevant to the present application. It is not necessary to admit, nor should it be construed, that any of the above information constitutes prior art against the present application. Summary of the invention

[0007] The embodiments of the present application provide a measuring device, a patient condition monitoring method, and related products.

[0008] These and other objects are achieved by the subject matter of the independent claims. Further embodiments are apparent from the dependent claims, the description and the drawings.

[0009] A first aspect of the present application provides a measuring device, comprising:

[0010] a gas guiding device configured to connect between the medical gas supply device and the patient side of the measuring device and to convey the medical gas from the medical gas supply device to the patient; and

[0011] At least one sensor device is disposed on an outer surface of the gas guiding device and is configured to detect real-time measurement data of the medical gas passing through the gas guiding device.

[0012] The above-mentioned measuring device provides patient monitoring for non-invasive respiratory support. In addition, at least one sensor device is placed on the outer surface of the gas guide device. Since the collected measurement data is a relative value, the relative value indicates the change of the internal environment of the gas guide device. Compared with the method of placing the sensor inside the respiratory device, this can avoid contamination problems, thereby improving the safety of measurement.

[0013] In one possible implementation, the real-time measurement data indicates a change in at least one of airway pressure, airflow rate, and respiratory rate.

[0014] In a possible implementation, the side wall at the sensing device on the gas guiding device is thinner or softer than the side walls at other locations.

[0015] On the one hand, this design makes the installation of the sensor device easier; on the other hand, it can improve the accuracy of the measured data.

[0016] In one possible implementation, the at least one sensing device comprises at least one tactile sensor, and the at least one tactile sensor is arranged near a secondary muscle of the patient; and

[0017] The measured data indicates the real-time range of motion of the accessory muscles.

[0018] In a possible implementation, the 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.

[0019] The measurement data obtained by each tactile sensor distributed in an array may be measurement data from the same position and can be used for calibration, thereby improving the accuracy of the calibrated measurement data.

[0020] In one possible implementation, the at least one sensing device includes at least one first tactile sensor and at least one second tactile sensor;

[0021] The gas guiding device comprises a front end conduit, a middle end conduit and a rear end conduit which are connected in sequence, the front end conduit is arranged close to the patient, and the rear end conduit is arranged close to the medical gas supply device; and

[0022] At least one first tactile sensor is disposed on the outer surface of the front end conduit, and at least one second tactile sensor is disposed on the outer surface of the rear end conduit.

[0023] The first tactile sensor and the second tactile sensor are placed at different positions, and the measurement data detected from the different positions can be used for calibration, thereby improving the accuracy of the measurement data after calibration.

[0024] In one possible embodiment, the front end tube is a non-heated breathing tube and the rear end tube is a heated breathing tube.

[0025] The heated breathing tube is arranged close to the medical gas supply device. When the moist air passes through the heated breathing tube, there will be no condensation because the temperature in the air is roughly the same as the temperature of the heated breathing tube. This solves the condensation problem.

[0026] In a possible implementation, at least one sensor device is further configured to:

[0027] Determining whether the measurement data is abnormal according to a preset threshold; and

[0028] In response to determining that the measurement data is abnormal, an alarm signal is triggered.

[0029] In a possible implementation, the sensor device is communicatively connected to the control device and is configured to send the measurement data to the control device for analyzing the measurement data.

[0030] In a possible implementation manner, the at least one sensor device is further configured to perform a preliminary filtering operation on the measurement data before sending the measurement data to the control device.

[0031] Interference signals can be removed by preliminary filtering operations, for example, measurement data obtained during non-monitoring periods may not be sent to the control device, so that subsequent processing by the control device can be more efficient.

[0032] In one possible embodiment, the gas guiding device comprises a flexible conduit.

[0033] A second aspect of the present application provides a patient condition monitoring method, which is executed by a control device and includes:

[0034] receiving real-time measurement data transmitted by at least one sensing device, wherein the real-time measurement data indicates a change in at least one of airway pressure, airflow rate, and respiratory rate of a medical gas delivered to a patient;

[0035] Determine whether real-time measurement data is abnormal; and

[0036] In response to determining that the real-time measurement data is abnormal, the amount of the medical gas is adjusted according to the real-time measurement data.

[0037] Since the measured data are relative values, which indicate changes in the environment inside the gas guiding device, this avoids contamination problems compared to an approach where the sensor is placed inside the breathing apparatus.

[0038] In one possible implementation, the sensing device includes a plurality of tactile sensors distributed in an array;

[0039] Receiving real-time measurement data sent by at least one sensor device, comprising:

[0040] receiving real-time measurement data respectively detected by a plurality of tactile sensors; and

[0041] performing calibration based on the received real-time measurement data to obtain calibrated measurement data;

[0042] Regulate the amount of medical gases based on real-time measurement data, including:

[0043] The amount of medical gas is regulated according to the calibrated measurement data.

[0044] Calibration is performed based on real-time measurement data detected by multiple tactile sensors, so that even if one sensor fails, the accuracy of the measurement data can still be ensured.

[0045] In a possible implementation, the method further includes:

[0046] triggering an image acquisition device to capture a real-time image of the patient; and

[0047] receiving a real-time image of the patient from an image acquisition device;

[0048] Regulate the amount of medical gases based on real-time measurement data, including:

[0049] The amount of medical gas is regulated based on real-time measurement data and real-time images of the patient.

[0050] By combining the information provided by the image acquisition device and the sensor device, the patient's condition can be evaluated and determined in a timely and effective manner. Therefore, the doctor can make the best treatment decision. In addition, the above method is a non-invasive monitoring method that can monitor the patient's condition without any other objects that interfere with the patient except the respiratory device itself.

[0051] In a possible implementation, after receiving the real-time image of the patient from the image acquisition device, the method further includes:

[0052] comparing the real-time image with a preset reference image to determine whether the real-time image is abnormal; and

[0053] In response to determining that the real-time image is abnormal, an alarm message is sent to the client.

[0054] In a possible implementation, after receiving the real-time measurement data sent by at least one sensor device, the method further includes:

[0055] Analyzing the detected real-time measurement data to obtain respiratory parameters;

[0056] generating data corresponding to a visual graph based on the respiratory parameters; and

[0057] Data corresponding to the visual chart is sent to a display device.

[0058] In a possible implementation, determining whether the real-time measurement data is abnormal includes:

[0059] When the breathing parameter is greater than the corresponding preset threshold, determining that the real-time measurement data is abnormal; and

[0060] The method further includes:

[0061] Send warning information to the client.

[0062] A third aspect of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium is configured to store a computer program, and the computer program enables a computer to implement the method according to the second aspect or any possible implementation of the second aspect.

[0063] A fourth aspect of the present application provides a computer program product, comprising computer-executable instructions, wherein when the computer-executable instructions are executed by a processor, the method according to the second aspect or any possible implementation of the second aspect is implemented.

[0064] A fifth aspect of the present disclosure provides a computer program, wherein when the computer program is executed by a processor, the method of the second aspect or any possible implementation manner of the second aspect is implemented.

[0065] The present application provides a measuring device, a patient condition monitoring method and related products. The measuring device includes: a gas guide device, which is configured to connect between a medical gas supply device and a patient side of the measuring device and deliver the medical gas from the medical gas supply device to the patient; and at least one sensor device, which is placed on the outer surface of the gas guide device and is configured to detect real-time measurement data of the medical gas passing through the gas guide device. In this way, at least one sensor device is placed on the outer surface of the gas guide device. Since the collected measurement data is a relative value, the relative value indicates the change of the internal environment of the gas guide device. Compared with the method of placing the sensor inside the respiratory device, this can avoid contamination problems, thereby improving the safety of the measurement. BRIEF DESCRIPTION OF THE DRAWINGS

[0066] The accompanying drawings are used to provide further understanding of the present application, constitute a part of the specification, and are used to explain the present application together with the following specific embodiments, but should not be interpreted as limiting the present application.

[0067] Figure 1 A schematic diagram of a medical gas delivery system provided in one embodiment of the present application is shown.

[0068] Figure 2 A structural diagram of a measuring device provided in an embodiment of the present application is shown.

[0069] Figure 3 An example scenario of a measurement device provided by an embodiment of the present application is shown.

[0070] Figure 4 An example scenario of a measuring device provided by another embodiment of the present application is shown.

[0071] Figure 5 A flow chart of a patient condition monitoring method provided in an embodiment of the present application is shown.

[0072] Figure 6 A schematic flow chart of a patient condition monitoring method provided in another embodiment of the present application is shown.

[0073] Figure 7 A schematic flow chart of a patient condition monitoring method provided in yet another embodiment of the present application is shown.

[0074] Figure 8 A schematic diagram of a medical gas delivery system provided in another embodiment of the present application is shown.

[0075] Fig. 9 A block diagram of a control device provided in an embodiment of the present application is shown.

[0076] Fig.10 A schematic structural diagram of a control device provided in one embodiment of the present application is shown. DETAILED DESCRIPTION

[0077] The accompanying drawings mentioned in the following description constitute a part of the present application, and show by example the specific aspects of the embodiments of the present application or the specific aspects in which the embodiments of the present application can be used. It should be understood that the embodiments of the present application can be used in other aspects and include structures or logical changes not depicted in the accompanying drawings. Therefore, the following detailed description should not be regarded as restrictive, and the scope of the application is defined by the appended claims.

[0078] Respiratory devices are widely used in the medical field. For example, when patients suffer from respiratory diseases caused by the COVID-19 virus, respiratory devices can be used to help patients with respiratory insufficiency. Typically, the sensing device is configured to detect measurement data and send the measurement data to a controller, and then the controller provides an operation strategy for the respiratory device based on the measurement data.

[0079] In the prior art, the measurement data monitored by the sensing device is an absolute value. The sensing device can be used as a pressure sensor and / or flow sensor built into the respiratory device for invasive ventilation and non-invasive ventilation. For example, a proximal sensor can be configured, that is, the pressure sensor and / or flow sensor is placed near the patient's vent. The proximal sensor placed near the patient's vent is more sensitive to the patient's breathing efforts because it is closer to the patient's airway. In this traditional method, these pressure and flow sensors near the patient's airway are also susceptible to contamination from the patient's airway. For example, since the sensor is placed near the patient's vent, the performance of the sensor may be affected by steam or gas passing through the airway, that is, there is a risk of biocompatibility. In other words, there is a problem of low safety.

[0080] The present application provides a measuring device, a patient condition monitoring method and a respiratory device. The measuring device includes: a gas guide 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 sensor device, placed on the outer surface of the gas guide device and configured to detect real-time measurement data of the medical gas passing through the gas guide device. In this way, at least one sensor device is placed on the outer surface of the gas guide device. Since the collected measurement data is a relative value, the relative value indicates the change of the internal environment of the gas guide device. Compared with the method of placing the sensor inside the respiratory device, this can avoid contamination problems, thereby improving the safety of the measurement.

[0081] The technical solution of the present application will be described in detail below with reference to the accompanying drawings.

[0082] For example, Figure 1 A medical gas delivery system 100 to which an embodiment of the present application is applied is shown. 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 the control device 120 and the medical gas supply device 130, respectively, and the control device 120 is connected to the medical gas supply device 130. The control device 120 adjusts the ventilation through the gas guiding device 112 by controlling the medical gas supply device 130 according to the real-time measurement data from the measuring device 110.

[0083] 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 in the respiratory device, or can be independent of the respiratory device. For example, the control device 120 and the oxygen supply device can be integrated in the respiratory device, so that the respiratory device adjusts and provides oxygen-containing gas to the patient according to the real-time measurement data from the measuring device 110.

[0084] Figure 1 The gas guiding device 112, the sensor device 114, the control device 120 and the medical gas supply device 130 are shown as examples, but the present application is not limited to such an arrangement. The system 100 may include other devices, such as an adjustment mechanism, a display component, and the like.

[0085] The embodiment of the present application provides a measuring device 200, including:

[0086] a gas guiding device 210 configured to connect between a medical gas supply device and a patient side of the measuring device and to deliver the medical gas from the medical gas supply device to the patient; and

[0087] At least one sensor device 220 is disposed on an outer surface of the gas guiding device 210 and is configured to detect real-time measurement data of the medical gas passing through the gas guiding device 210 .

[0088] The medical gas supply device delivers medical gas to the patient through a gas guiding device, wherein the gas guiding device 210 may be a flexible conduit. 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 capable of 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.

[0089] The above-mentioned measuring device provides patient monitoring for non-invasive respiratory support. In addition, at least one sensor device is placed on the outer surface of the gas guide device. Since the collected measurement data is a relative value, the relative value indicates the change of the internal environment of the gas guide device. Compared with the method of placing the sensor inside the respiratory device, this can avoid contamination problems, thereby improving the safety of measurement.

[0090] In one possible embodiment, the real-time measurement data indicates a change in at least one of airway pressure, airflow rate and respiratory rate. Respiratory rate is used to describe the number of breaths per minute. Airflow rate is a capacity parameter that can be detected in the conduit from the air inlet to the exhalation valve. Airway pressure is a mechanical ventilation parameter that should be maintained within a normal range to ensure normal ventilation of the patient. These parameters can indicate the patient's respiratory status and are crucial for adjusting the amount of medical gas.

[0091] In a possible implementation, the side wall of the gas guide device at the sensing device is thinner or softer than the side walls at other locations. On the one hand, this design makes it easier to install the sensing device; on the other hand, this can improve the accuracy of the measurement data.

[0092] In one possible implementation, the at least one sensing device comprises at least one tactile sensor, and the at least one tactile sensor is arranged near a patient's accessory muscle; and

[0093] The measured data indicates the real-time range of motion of the accessory muscles.

[0094] The tactile sensor is made of a flexible material. The tactile sensor is a tactile sensor that can provide information about the object in contact with it, and has the advantage of being light in weight, so it is appropriate to arrange the tactile sensor on the outer surface of the gas guide device. The above information can be measurement data. The location close to the patient's accessory muscles can be somewhere around the patient's neck / chest / spine, such as below Figure 3 P2 in and below Figure 4 When the above position includes a position around the neck, the above information may include a respiration rate, which can be used for data calibration.

[0095] The tactile sensor may be printable and may be printed on the respiratory device anywhere on the outer surface of the nasal cannula, catheter, connector, belt, or any other part of the device that interfaces directly or indirectly with the patient. The tactile sensor non-invasively monitors the patient's condition.

[0096] In a 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. The measurement data obtained by each tactile sensor distributed in the array may be measurement data from the same position and can be used for calibration, thereby improving the accuracy of the calibrated measurement data.

[0097] In a possible implementation, 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;

[0098] The gas guiding device 210 comprises a front end conduit, a middle end conduit and a rear end conduit which are connected in sequence, the front end conduit is arranged close to the patient, and the rear end conduit is arranged close to the medical gas supply device; and

[0099] At least one first tactile sensor 222 is disposed on the outer surface of the front end tube, and at least one second tactile sensor 224 is disposed on the outer surface of the rear end tube.

[0100] The first tactile sensor and the second tactile sensor are placed at different positions, and the measurement data detected from different positions can be used for calibration, thereby improving the accuracy of the measurement data after calibration. In one possible embodiment, the front end catheter is a non-heated breathing catheter, and the rear end catheter is a heated breathing catheter. If humid air passes through a catheter with a lower temperature, condensation will occur; therefore, the catheter may make noise, and condensed water will flow along the catheter, which will affect the use of the respiratory device. The heated breathing catheter is arranged close to the medical gas supply device. When humid air passes through the heated breathing catheter, there will be no condensation because the temperature in the air is roughly the same as the temperature of the heated breathing catheter. This solves the condensation problem.

[0101] In a possible implementation, at least one sensor device is further configured to:

[0102] Determining whether the measurement data is abnormal according to a preset threshold; and

[0103] In response to determining that the measurement data is abnormal, an alarm signal is triggered.

[0104] Taking airway pressure as an example, when the change of airway pressure exceeds a preset threshold (e.g., 10%), the current airway pressure is considered abnormal, and the sensor device triggers an alarm signal. The preset threshold can be set by the user according to actual needs. The user can be a doctor, a nurse, etc.

[0105] In one possible implementation, the sensor device is communicatively connected to the control device and is configured to send the measurement data to the control device for analyzing the measurement data. The sensor device can be connected to the control device via a wired connection or wirelessly. The control device can be integrated into the respiratory device or can be independent of the respiratory device.

[0106] In a possible embodiment, at least one sensor device is further configured to perform a preliminary filtering operation on the measurement data before sending the measurement data to the control device. The preliminary filtering operation can remove interference signals, for example, the measurement data obtained during the non-monitoring period may not be sent to the control device. In this way, the subsequent processing of the control device can be more efficient. The subsequent processing may include determining the ventilation mode and the specific parameters provided to the patient.

[0107] An example scenario for measuring a device could be as follows Figure 3 and Figure 4 The position of the sensors shown in the figure is only schematic. The measuring device can be connected to the main body of the breathing device. For example, Figure 3 and Figure 4 As shown, P1 and P3 represent possible locations of pressure sensors for detecting respiratory effort, and P2 and P4 represent possible locations of pressure sensors for detecting the amplitude of accessory muscle movement. For example, when using the device, P2 and P4 will be locations around the patient's neck / chest / spine.

[0108] The present application embodiment provides a patient condition monitoring method, which is executed by a control device. Figure 5 As shown, the method includes the following steps.

[0109] Step 510: Receive real-time measurement data sent by at least one sensing device, wherein the real-time measurement data indicates changes in at least one of airway pressure, airflow rate, and respiratory rate of medical gas delivered to the patient.

[0110] The airflow rate is a capacity parameter that can be detected in the conduit from the air inlet to the exhalation valve. The airway pressure is a mechanical ventilation parameter. The airflow rate and airway pressure should be maintained within a normal range to ensure normal ventilation of the patient. These parameters can indicate the patient's respiratory state and are key to regulating the amount of medical gas. At least one sensing device can be placed on the outer surface of the gas guiding device and is configured to detect real-time measurement data of the medical gas passing through the gas guiding device.

[0111] Step 520: Determine whether the real-time measurement data is abnormal.

[0112] The real-time measurement data may be compared with a preset range to determine whether the real-time measurement data is abnormal, wherein the preset range may be obtained based on experimental data. For example, when the real-time measurement data is within the preset range, the real-time measurement data is determined to be normal; and when the real-time measurement data exceeds the preset range, the real-time measurement data is determined to be abnormal. The implementation of the determination is not limited thereto.

[0113] Step 530: In response to determining that the real-time measurement data is abnormal, adjusting the amount of the medical gas according to the real-time measurement data.

[0114] For example, when it is determined that a change in the current breathing rate is abnormal, specifically, indicating that the current breathing rate is above an upper limit of a normal range, the amount of the medical gas may be increased.

[0115] As described above, since the measured data are relative values ​​indicating changes in the internal environment of the gas guiding device, this can avoid contamination problems compared to the method of arranging the sensor inside the breathing apparatus.

[0116] In a possible implementation, the sensing device includes a plurality of tactile sensors distributed in an array, such as Figure 6 As shown, the method includes:

[0117] Step 610: the plurality of tactile sensors respectively send real-time measurement data to the control device, and the control device receives the real-time measurement data sent by the plurality of tactile sensors;

[0118] Step 620: Control the device to perform calibration based on the received real-time measurement data to obtain calibrated measurement data;

[0119] Step 630: The control device determines whether the real-time measurement data is abnormal; and

[0120] Step 640: In response to determining that the real-time measurement data is abnormal, the control device adjusts the amount of the medical gas according to the calibrated measurement data.

[0121] The implementation of steps 610, 630 and 640 are similar to steps 510, 520 and 530 respectively, and will not be repeated here.

[0122] Regarding step 620, the measurement data obtained by each tactile sensor distributed in an array may be measurement data from the same position 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 for monitoring data at position P1, and the measurement data detected are respectively referred to as D1, D2, and D3. Then, similarity is calculated, namely, a first similarity S1 between D1 and D2, a second similarity S2 between D1 and D3, and a third similarity S3 between D2 and D3. If the similarity is less than a preset value, it is considered that the corresponding measurement data may be abnormal. For example, if S1 and S2 are lower than a preset value, and S3 is higher than a preset value, it is considered that the measurement data D1 may be abnormal. Then, the measurement data D1 can be deleted, and an average operation can be performed on the measurement data D2 and D3 to obtain the calibrated measurement data. The implementation method of calculating similarity is not limited to this.

[0123] The measurement data is calibrated based on the real-time measurement data detected by the plurality of tactile sensors, so that the accuracy of the measurement data can still be ensured in the event that one sensor fails.

[0124] In a possible implementation, Figure 7 As shown, the method includes:

[0125] Step 710: receiving real-time measurement data sent by at least one sensor device;

[0126] Step 720: Determine whether the real-time measurement data is abnormal;

[0127] Step 730: In response to determining that the real-time measurement data is abnormal, triggering an image acquisition device to capture a real-time image of the patient;

[0128] Step 740: receiving a real-time image of the patient from an image acquisition device; and

[0129] Step 750: In response to determining that the real-time measurement data is abnormal, adjusting the amount of medical gas according to the real-time measurement data and the real-time image of the patient.

[0130] The implementation of steps 710 and 720 is similar to that of steps 510 and 520, respectively, and will not be repeated here.

[0131] With respect to steps 730 to 750, the accessory muscle may be an accessory muscle located somewhere around the patient's neck / chest / spine. The image acquisition device may be a camera. Taking respiratory rate as an example, different respiratory rates may correspond to different movement amplitudes of the accessory muscle. The real-time measurement data may indicate a respiratory rate detected by a sensor placed on the outer surface of the gas flow guide device. When it is determined that the indicated respiratory rate is abnormal, 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 connection or wirelessly. For example, the control device 820 can send a signal to the image acquisition device 840, and the signal is used to trigger the image acquisition device 840 to capture a real-time image of the patient's side 860. Therefore, the real-time movement amplitude of the accessory muscle can be obtained by analyzing the image of the accessory muscle. A wide range of information related to the accessory muscle can be captured based on the real-time movement amplitude of the accessory muscle.

[0132] The camera is combined with a sensor device to monitor the patient's condition, which is traditionally done by doctors or other caregivers by making rounds to check on the patient. By combining the information provided by the camera and the sensor device, the patient's condition can be evaluated and determined in a timely and effective manner. Therefore, the doctor can make the best treatment decision. In addition, the above method is a non-invasive monitoring method that can monitor the patient's condition without any other objects that interfere with the patient except the respiratory device itself.

[0133] In a possible implementation, after receiving the real-time image of the patient from the image acquisition device, the method further includes:

[0134] comparing the real-time image with a preset reference image to determine whether the real-time image is abnormal; and

[0135] In response to determining that the real-time image is abnormal, an alarm message is sent to the client.

[0136] The client may be a client (such as an operation terminal such as a smartphone) of medical personnel (such as doctors and caregivers). The alarm information may include an alarm signal, and when the physician or caregiver receives the alarm signal, he or she can go to the patient's location and immediately observe the patient's condition. This can help medical personnel effectively monitor the patient's real-time condition. The alarm information may also include abnormal images, so that the physician or caregiver can determine the urgency of multiple events to make the right decision. In addition, abnormal images can be stored for other requirements. The preset reference image may be a pre-captured image of the patient under normal conditions.

[0137] In a possible implementation, after receiving the real-time measurement data sent by at least one sensor device, the method further includes:

[0138] Analyzing the detected real-time measurement data to obtain respiratory parameters;

[0139] generating data corresponding to a visual graph based on the respiratory parameters; and

[0140] Data corresponding to the visual chart is sent to a display device.

[0141] The real-time measurement data is the output data of the sensor device, for example, it can be in the form of an electrical signal, so the output data of the sensor device needs to be analyzed to obtain a simple visual representation. The respiratory parameters can be airway pressure, airflow rate, and respiratory rate. In addition, the changes of respiratory parameters over time can be displayed in the form of a graph. 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. The user can observe the changes through the chart, thereby improving the user experience.

[0142] In a possible implementation manner, determining whether the real-time measurement data is abnormal includes:

[0143] When the breathing parameter is greater than the corresponding preset threshold, determining that the real-time measurement data is abnormal; and

[0144] The method further includes:

[0145] Send warning information to the client.

[0146] Taking airway pressure as an example, when the change of airway pressure exceeds a preset threshold, such as 10%, the current airway pressure is considered abnormal, 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 of medical personnel (such as doctors and nurses). This can help medical personnel effectively monitor the real-time condition of patients.

[0147] Fig. 9 FIG. 1 is a block diagram of a control device provided in an embodiment of the present application. Fig. 9 As shown, the control device 900 includes:

[0148] a receiving unit 910 for receiving real-time measurement data transmitted by at least one sensor device, wherein the real-time measurement data indicates a change in at least one of airway pressure, airflow rate, and respiratory rate of the medical gas delivered to the patient;

[0149] A determination unit 920, configured to determine whether the real-time measurement data is abnormal; and

[0150] The adjusting unit 930 is configured to, in response to determining that the real-time measurement data is abnormal, adjust the amount of the medical gas according to the real-time measurement data.

[0151] In one possible embodiment, the sensing device includes a plurality of tactile sensors distributed in an array, and the receiving unit 910 is used to receive real-time measurement data detected by the plurality of tactile sensors respectively; the control device 900 also includes: a calibration unit, used to perform calibration based on the received real-time measurement data to obtain calibrated measurement data; and an adjustment unit 930 is used to adjust the amount of medical gas according to the calibrated measurement data.

[0152] In one possible embodiment, the control device 900 also 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 is also used to receive a real-time image of the patient from the image acquisition device; and an adjustment unit 930 is used to adjust the amount of medical gas according to the real-time measurement data and the real-time image of the patient.

[0153] In a 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, send an alarm message to the client.

[0154] In one possible embodiment, the control device also includes an analysis unit for analyzing the detected real-time measurement data to obtain breathing parameters; a generation unit for generating data corresponding to the visual chart based on the breathing parameters; and a sending unit for sending the data corresponding to the visual chart to the display device.

[0155] In a possible implementation, the determining unit 920 is further configured to determine that the real-time measurement data is abnormal when the breathing parameter is greater than a corresponding preset threshold; and the sending unit is further configured to send an alarm message to the client.

[0156] like Fig.10As shown, the control device 1000 may include a memory 1010 and a processor 1020, wherein the computer program is stored in the memory 1010 and is configured to be executed by the processor 1020 to implement the steps described in the above embodiments. In addition, the control device 1000 may also include a communication unit 1030 for communicating with the sensor device and / or the client. 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.

[0157] An embodiment of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium is configured to store a computer program, which causes a computer to perform the following steps:

[0158] receiving real-time measurement data transmitted by at least one sensing device, wherein the real-time measurement data indicates a change in at least one of airway pressure, airflow rate, and respiratory rate of a medical gas delivered to a patient;

[0159] Determine whether real-time measurement data is abnormal; and

[0160] In response to determining that the real-time measurement data is abnormal, the amount of the medical gas is adjusted according to the real-time measurement data.

[0161] In one possible implementation, the sensing device includes a plurality of tactile sensors distributed in an array;

[0162] Receiving real-time measurement data sent by at least one sensor device, comprising:

[0163] receiving real-time measurement data respectively detected by a plurality of tactile sensors; and

[0164] performing calibration based on the received real-time measurement data to obtain calibrated measurement data;

[0165] Regulate the amount of medical gases based on real-time measurement data, including:

[0166] The amount of medical gas is regulated according to the calibrated measurement data.

[0167] In a possible implementation, it further includes:

[0168] In response to determining that the real-time measurement data is abnormal, triggering an image acquisition device to capture a real-time image of the patient; and

[0169] receiving a real-time image of the patient from an image acquisition device;

[0170] Regulate the amount of medical gases based on real-time measurement data, including:

[0171] The amount of medical gas is regulated based on real-time measurement data and real-time images of the patient.

[0172] In a possible implementation, based on the current real-time movement amplitude of the accessory muscle, the detected real-time measurement data is calibrated to obtain calibrated measurement data, including:

[0173] comparing the real-time image with a preset reference image to determine whether the real-time image is abnormal; and

[0174] In response to determining that the real-time image is abnormal, an alarm message is sent to the client.

[0175] In a possible implementation, after receiving the real-time measurement data sent by at least one sensor device, the method further includes:

[0176] Analyzing the detected real-time measurement data to obtain respiratory parameters;

[0177] generating data corresponding to a visual graph based on the respiratory parameters; and

[0178] Data corresponding to the visual chart is sent to a display device.

[0179] In a possible implementation manner, determining whether the real-time measurement data is abnormal includes:

[0180] When the breathing parameter is greater than the corresponding preset threshold, determining that the real-time measurement data is abnormal; and

[0181] The method further includes:

[0182] Send warning information to the client.

[0183] An embodiment of the present application also provides a computer program product, comprising computer execution instructions, wherein when the computer execution instructions are executed by a processor, the above method is implemented.

[0184] An embodiment of the present application also provides a computer program, wherein when the program is executed by a processor, the above method is implemented.

[0185] Those skilled in the art should understand that the relevant description of the above steps in the embodiments of the present application can be understood by referring to the relevant description of the patient condition monitoring method in the embodiments of the present application.

[0186] In the embodiments of the present application, terms such as "and / or" are only used to describe the association between associated objects, indicating that there may be three relationships. For example, A and / or B may indicate that only A, A and B, and only B exist.

[0187] Terms such as "a" or "an" are not intended to specify one or a single element, but may be used to refer to multiple elements where appropriate.

[0188] In the embodiments of the present application, expressions such as "example" or "for example" are used to indicate the description of an example or instance. In the embodiments of the present application, any embodiment or design described as "example" or "for example" should not be interpreted as being more preferred or more advantageous than other embodiments or design. In particular, the use of "example" or "for example" is intended to present related concepts in a specific way.

[0189] It should be understood that, according to the various processes described above, steps may be reordered, added or deleted. For example, the steps described in this application may be performed in parallel, sequentially or in a different order, as long as the desired result of the technical solution disclosed in this application can be achieved, and the order of these steps is not limited herein.

[0190] In one or more examples, the functions described may be implemented by hardware, software, firmware, or any combination thereof. If implemented in software, the functions 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. Computer-readable media may include computer-readable storage media corresponding to tangible media such as data storage media, or communication media including any media that facilitates, for example, transmitting a computer program from one place to another according to a communication protocol. In such cases, the computer-readable medium may generally correspond to (1) a non-temporary tangible computer-readable storage medium, or (2) a communication medium such as a signal or carrier wave. The 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, codes, and / or data structures for implementing the techniques described in this application. A computer program product may include a computer-readable medium.

[0191] Finally, it should be noted that the above embodiments are only used to describe the technical solutions of the present invention, rather than to limit the present invention. Although the present invention is described in detail with reference to the above embodiments, it should be understood by those skilled in the art that the technical solutions described in the above embodiments can still be modified, or some of the technical features can be replaced by equivalents, without departing from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A measuring device comprising: a gas guiding device configured to connect between a medical gas supply and a patient side of the measuring device and to convey the medical gas from the medical gas supply to the patient; as well as At least one sensor device is disposed on an outer surface of the gas guiding device and is configured to detect real-time measurement data of the medical gas passing through the gas guiding device.

2. The measuring device according to claim 1, wherein: The real-time measurement data indicates changes in at least one of airway pressure, airflow rate, and respiratory rate.

3. The measuring device according to claim 1, wherein: The side wall of the gas guiding device at the sensing device is thinner or softer than the side walls at other positions.

4. The measuring device according to any one of claims 1 to 3, wherein: The at least one sensing device comprises at least one tactile sensor, and the at least one tactile sensor is arranged near a secondary muscle of the patient; and The measurement data indicates the real-time range of motion of the accessory muscle.

5. The measuring device according to any one of claims 1 to 3, wherein: The at least one sensing device comprises a plurality of tactile sensors, and the plurality of tactile sensors are distributed in an array along the gas guiding device.

6. The measuring device according to any one of claims 1 to 3, wherein: The at least one sensing device comprises at least one first tactile sensor and at least one second tactile sensor; The gas guiding device comprises a front end conduit, a middle end conduit and a rear end conduit which are connected in sequence, the front end conduit is arranged close to the patient, and the rear end conduit is arranged close 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 rear end conduit.

7. The measuring device according to claim 6, wherein: The front end conduit is a non-heated breathing conduit and the rear end conduit is a heated breathing conduit.

8. The measuring device according to any one of claims 1 to 3, wherein: The at least one sensing device is further configured to: Determining whether the measurement data is abnormal according to a preset threshold; and In response to determining that the measurement data is abnormal, an alarm signal is triggered.

9. The measuring device according to any one of claims 1 to 3, wherein: The sensor device is communicatively connected to the control device and is configured to send the measurement data to the control device for analyzing the measurement data.

10. The measuring device according to claim 9, wherein: The at least one sensor device is further configured to perform a preliminary filtering operation on the measurement data before sending the measurement data to the control device.

11. The measuring device according to any one of claims 1 to 3, wherein: The gas directing device comprises a flexible conduit.

12. A patient condition monitoring method, the method being executed by a control device, the method comprising: receiving real-time measurement data transmitted by at least one sensing device, wherein the real-time measurement data indicates a change in at least one of airway pressure, airflow rate, and respiratory rate of a medical gas delivered to a patient; Determining whether the real-time measurement data is abnormal; as well as In response to determining that the real-time measurement data is abnormal, the amount of the medical gas is adjusted according to the real-time measurement data.

13. The method according to claim 12, wherein: The sensing device comprises a plurality of tactile sensors distributed in an array; The receiving of real-time measurement data sent by at least one sensor device comprises: receiving real-time measurement data respectively detected by the plurality of tactile sensors; and Performing calibration based on the received real-time measurement data to obtain calibrated measurement data; The adjusting the amount of the medical gas according to the real-time measurement data comprises: The amount of the medical gas is adjusted according to the calibrated measurement data.

14. The method according to claim 12, further comprising: triggering an image acquisition device to capture a real-time image of the patient; as well as receiving the real-time image of the patient from the image acquisition device; The adjusting the amount of the medical gas according to the real-time measurement data comprises: The amount of the medical gas is adjusted based on the real-time measurement data and the real-time image of the patient.

15. The method according to claim 14, wherein: After receiving the real-time image of the patient from the image acquisition device, the method further includes: comparing 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, sending an alarm message to the client.

16. The method according to any one of claims 12 to 15, wherein: After receiving the real-time measurement data sent by at least one sensor device, the method further includes: Analyzing the detected real-time measurement data to obtain respiratory parameters; generating data corresponding to a visual graph based on the respiratory parameters; and The data corresponding to the visual chart is sent to a display device.

17. The method according to claim 16, wherein: The determining whether the real-time measurement data is abnormal includes: When the respiratory parameter is greater than a corresponding preset threshold, determining that the real-time measurement data is abnormal; and The method further comprises: Send warning information to the client.

18. A computer-readable storage medium, wherein: The computer-readable storage medium is configured to store a computer program, and the computer program causes a computer to implement the method according to any one of claims 12 to 17.

19. A computer program product comprising computer executable instructions, wherein: When the computer-executable instructions are executed by a processor, the method according to any one of claims 12 to 17 is implemented.

20. A computer program, wherein When the computer program is executed by a processor, the method according to any one of claims 12 to 17 is implemented.

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