MEDICAL DRAINAGE MONITORING METHOD, APPARATUS, AND SYSTEM BASED ON IMAGE RECOGNITION
20210316060 · 2021-10-14
Assignee
Inventors
- Tienan LIU (Tangshan, CN)
- Mengchi AI (Tangshan, CN)
- Chuntao WU (Tangshan, CN)
- Zhuoran DANG (Tangshan, CN)
Cpc classification
A61M1/73
HUMAN NECESSITIES
A61M1/69
HUMAN NECESSITIES
A61M2205/3379
HUMAN NECESSITIES
A61M1/60
HUMAN NECESSITIES
International classification
Abstract
Disclosed are a medical drainage monitoring method, apparatus, system based on image recognition. A medical drainage monitoring system comprises: a drainage device comprising a frame and a drainage container disposed in the frame, the drainage container having an inlet for receiving drained liquid; a first video acquisition device mounted on the frame aimed at the drainage container for obtaining video data of the drained liquid in the drainage container; an image processing circuit, configured to receive and process the video data from the first video acquisition device to obtain first drainage data of the drained liquid; and a monitoring circuit configured to monitor the first drainage data and trigger an alarm signal when the first drainage data violates a predetermined threshold.
Claims
1. A medical drainage monitoring system, comprising: a drainage device comprising a frame and a drainage container disposed in the frame, the drainage container having an inlet for receiving drained liquid; a first video acquisition device mounted on the frame and aimed at the drainage container for obtaining video data of the drained liquid in the drainage container; an image processing circuit configured to receive and process the video data from the first video acquisition device to obtain first drainage data of the drained liquid; and a monitoring circuit configured to monitor the first drainage data and trigger an alarm signal when the first drainage data violates a predetermined threshold.
2. The medical drainage monitoring system of claim 1, wherein the frame includes: a plurality of side walls surrounding an interior cavity for receiving the drainage container; and a video acquisition device mounting portion provided on a first side wall of the plurality of side walls for mounting the first video acquisition device.
3. The medical drainage monitoring system of claim 2, wherein the drainage container comprises a drainage bottle or a drainage bag having a first volume indicator formed thereon, and the video acquisition device mounting portion aligns to the first volume indicator with a first distance therebetween.
4. The medical drainage monitoring system of claim 3, wherein the first distance is in a range of 3-40 cm.
5. The medical drainage monitoring system of claim 3, wherein the frame further includes: a diffusing portion provided on a second side wall of the plurality of side walls; and a light source provided on an outer surface of the diffusing portion for emitting light that is diffused by the diffusing portion and irradiated onto the drainage container received in the frame.
6. The medical drainage monitoring system of claim 3, wherein the drainage bottle further includes a second volume indicator provided on a side wall different from the first volume indicator, and the frame further includes an observation window provided in a third side wall of the frame, the second volume indicator being visible through the observation window.
7. The medical drainage monitoring system of claim 2, wherein the frame further includes: a cover plate for covering the drainage container received in the frame, the cover plate having at least one opening which exposes the inlet of the drainage container.
8. The medical drainage monitoring system of claim 7, wherein the frame further includes a plurality of venting holes provided in one or more of the plurality of side walls and the cover plate.
9. The medical drainage monitoring system of claim 1, wherein the first drainage data includes one or more of volume, flow rate, and color of the drained liquid and information of if there are bubbles in or floating on the drained liquid.
10. The medical drainage monitoring system of claim 1, further comprising: a second video acquisition device aimed at a drainage tube to obtain video data of drained liquid in the drainage tube, the drainage tube being connected to the inlet of the drainage container, wherein the image processing circuit is further configured to process the video data from the second video acquisition device to obtain second drainage data of the drained liquid.
11. The medical drainage monitoring system of claim 10, wherein the second drainage data includes color and/or turbidity of the drained liquid.
12. The medical drainage monitoring system of claim 1, wherein the image processing circuit includes one or more of: an image sampling module for sampling image frames from the video data; a color extraction module for extracting a color of the drained liquid from the sampled image frames; a turbidity detection module for detecting a turbidity of the drained liquid from the sampled image frames; a volume and flow rate determination module for determining a volume of the drained liquid from the sampled image frames, and determining a flow rate of the drained liquid based on a change of the volume over time; and a bubble identification module for determining from the sampled image frames if there is a bubble in the drainage container.
13. The medical drainage monitoring system of claim 12, wherein the image sampling module is configured to adjust a sampling rate based on differentiation of the sampled image frames.
14. The medical drainage monitoring system of claim 1, wherein the image processing circuit includes: an image sampling module for sampling image frames from the video data; and an image feature extraction module for extracting drainage data of the drained liquid from the sampled image frames by using a neural network.
15. The medical drainage monitoring system of claim 1, wherein the monitoring circuit includes: a first data receiving unit for receiving drainage data from the image processing circuit; a first data processing unit for comparing the drainage data with a threshold and triggering an alarm signal when the drainage data violates the threshold; and a first alarm unit for generating an alarm in response to receiving the alarm signal from the first data processing unit.
16. The medical drainage monitoring system of claim 15, wherein the monitoring circuit further includes: a first display unit for displaying the drainage data in real time.
17. The medical drainage monitoring system of claim 1, further comprising: a central monitoring device configured to receive and monitor drainage data from a plurality of monitoring circuits.
18. The medical drainage monitoring system of claim 17, wherein the central monitoring device includes: a second data receiving unit for receiving drainage data from a plurality of monitoring circuits; a second data processing unit for comparing the drainage data with a threshold and triggering an alarm signal when the drainage data violates the threshold; and a second alarm unit for generating an alarm in response to receiving the alarm signal from the second data processing unit.
19. The medical drainage monitoring system of claim 18, wherein the second alarm unit is further configured to generate an alarm in response to receiving the alarm signal from any one of the plurality of monitoring circuits.
20. The medical drainage monitoring system of claim 1, wherein the drainage container is a drainage bottle or a drainage bag.
Description
BRIEF DESCRIPTION OF THE DRAWINGS
[0009] Through a more detailed description of the embodiments of the present disclosure in conjunction with the accompanying drawings, the above and other objectives, features and advantages of the embodiments of the present disclosure will become more apparent. The drawings are included to provide a further understanding of the embodiments of the present disclosure, and are incorporated in and constitute a part of the specification to explain the present disclosure together with the embodiments of the present disclosure, but are not intended to serve as a definition of the limits of the present disclosure. In the drawings, the same reference numeral usually represents an identical component.
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DETAILED DESCRIPTION
[0021] Hereinafter, exemplary embodiments according to the present disclosure will be described in detail with reference to the drawings. It should be understood that the specific embodiments described herein are only used to explain the related disclosure, but are not intended to limit the disclosure.
[0022] An embodiment of the present disclosure provides a drainage device including a drainage container and a frame for receiving the drainage container.
[0023] The cover plate 110 may be connected to an upper edge portion of one of the side walls 120-150 by, for example, a hinge (not shown), so that the cover plate 110 may be opened and closed. Alternatively, the cover plate 110 may be detachably mounted to the upper edge portion of the side walls 120-150. Additionally, a snap joint may also be provided to fix the cover plate 110 to the upper edge of the side wall. One or more openings 111 may be provided on the cover plate 110 for connecting an inlet interface of the drainage container to the outside through the opening(s). Optionally, one or more venting holes may be provided on the cover plate 110, such as an array of venting holes 112 shown in
[0024] The first side wall 120 may be formed as the front surface of the frame 100 with an observation window 121 provided thereon. The observation window 121 may extend in an up-down direction, for example, and is used to manually observe the drainage container received in the frame 100, which will be described in detail later. The observation window 121 may be an opening formed on the first side wall 120 or may be a portion of the first side wall 120 formed of a transparent material. In some embodiments, the entire first side wall 120 may be formed of a transparent material such as glass or plastic, so that the entire first side wall 120 may be used as an observation window 121. It shall be understood that the entire frame 100 or a major part of the frame 100 may also be formed of a transparent material. As shown in
[0025] Adjacent to the first side wall 120 are a second side wall 130 and a third side wall 140 opposite to each other, which may be formed with suspension members such as hooks 131 and 141, respectively, for suspending the frame 100 on a support such as a bed head panel, a bed end panel, or a bed edge panel of a hospital bed. It shall be understood that the suspension members are not limited to the hooks 131 and 141 as shown in the figure, but may also adopt other structures, such as a clip-type hook 151 provided on the back side 150 as shown in
[0026] A diffusion portion 142 may be formed on the third side wall 140, as shown in the side view of the frame. As illustrated in
[0027] In some embodiments, the drainage container that is received in the frame 100 shown in
[0028] A plurality of interfaces may be formed on the top wall 210 of the drainage bottle 200, such as a drained liquid interface 211 for the drained liquid to flow in and a venting hole 212 for exhausting gas. When the drainage bottle 200 is placed in the frame 100, the drained liquid inlet interface 211 may protrude from the opening 111 on the cover plate 110 of the frame 100 so as to connect the drainage tube to the drained liquid interface 211.
[0029] A first volume indicator 221 for indicating the volume of the drained liquid may be formed on the first side wall 220. The first volume indicator 221 may be a transparent portion, and may include a dark volume scale line, so as to observe the amount of the drained liquid received in the drainage bottle 200. A second volume indicator 231 may be formed on the second side wall 230, which may also be a transparent portion, and may include a dark volume scale line, so as to observe the amount of the drained liquid received in the drainage bottle 200. It shall be understood that, in some embodiments, the entire drainage bottle 200 may be formed of a transparent material such as plastic, glass, and the like.
[0030]
[0031] In order to facilitate the camera to acquire images, as shown in
[0032]
[0033]
[0034] The video acquisition device 310 may include one or more cameras, which may continuously acquire multiple frame images to form video streaming data, so as to realize dynamic real-time monitoring of the drainage process. In one embodiment, the video acquisition device 310 includes a camera mounted at the sensor mounting portion 133 of the frame 100 as shown in
[0035] A very important task in the drainage process is to monitor whether the patient has abnormal bleeding symptoms, which may be determined by monitoring the color of the drained liquid. The inventor of the present disclosure found that, in a case where the drained liquid enters the drainage bottle 200 from the drainage tube, the color thereof may be diluted by the large amount of drained liquid already received in the drainage bottle 200. Therefore, the bleeding symptoms may not be detected in time, which will delay the rescue opportunity and cause serious medical consequences. In an embodiment of the present disclosure, the video acquisition device 310 may further include a second camera configured to be aimed at the drainage tube, which is used to monitor the color information of the drained liquid in the drainage tube, so as to monitor more timely whether blood is included in the drained liquid. The video acquisition device 310 for monitoring the drainage tube may be mounted on the support and be aimed at the drainage tube 11 (as shown in
[0036] The image processing circuit 320 can receive the video data acquired by the video acquisition device 310 such as one or more cameras, and determine drainage information such as volume, flow rate, color, turbidity of the drained liquid and whether bubbles exist in the drained liquid through image recognition.
[0037] The video data acquired by each camera may include a plurality of image frames arranged in temporal order, and the number of image frames included per second depends on the performance of the camera itself. Generally, it is not necessary to process each frame of images in the video data because the difference between adjacent image frames may not be obvious, otherwise it may result in heavy computational burden and high hardware requirements. Therefore, the image processing circuit 320 may include an image sampling module 321 to sample the video data acquired by the camera to extract image frames. For example, the image sampling module 321 may extract image frames from the video data at a fixed sampling rate, for example, by extracting 1 frame image every 0.5 seconds. In some embodiments, the image sampling module 321 can dynamically adjust the sampling rate according to the differentiation of the sampled image frames. For example, the image sampling module 321 may compare the currently sampled frame image with the previously sampled frame image. If the sampled image embodies change information at a high level, the sampling rate may be increased; if the sampled image embodies change information at a low level, the sampling rate may be reduced; and if the sampled image does not change substantially, the multiple frame images may be sampled at a predetermined minimum rate, for example, at one frame per second. Through such dynamic sampling, the changes or variations in the drainage process may be monitored more finely, while avoiding the generation of large amounts of sampling data.
[0038] The color extraction module 322 can extract the color information of the drained liquid by performing image recognition on the sampled image frames. As mentioned above, preferably, the color extraction module 322 can perform image recognition on one or more image frames obtained from the camera aimed at the drainage tube to recognize the drainage tube portion and extract the color of the drained liquid in the drainage tube, so that the color change of drained liquid may be timely and accurately recognized, and the effect of dilution to the color by the drained liquid received in the drainage bottle 200 may be mitigated. In another example, the color extraction module 322 may also perform image recognition on the image frame of the drainage bottle 200 to extract the color of the drained liquid received therein. The color extraction module 322 may recognize an RGB value of a plurality of pixel points representing the drained liquid in the image of drainage tube or drainage bottle, and calculate an average value thereof to determine the color of the drained liquid in the image frame. In some embodiments, the color of the drained liquid in the image frame may be interfered due to various factors such as the light condition and the transmittance of the material forming the drainage bottle or the drainage tube. To counter the interference, in one embodiment, the color extraction module 322 may also correct the recognized color. For example, a standard color card may be placed at or near the drainage bottle 200 or the drainage tube 11, and an image of the standard color card may be captured by the video acquisition device 310. After the color of the standard color card is extracted and recognized by the color extraction module 322, the recognized color and the genuine color are compared to obtain a deviation value between the two, which may be used as a correction factor to correct the color recognized by the color extraction module 322.
[0039] In an embodiment, the image sampling module 321 may be configured to adjust the sampling rate based on differentiation in color information. For example, when the color differentiation of any channel in the RGB color values of the drained liquid recognized by the color extraction module 322 reaches a predetermined threshold, or the sum of the color differentiation of a plurality of channels reaches a predetermined threshold, the image sampling module 321 may increase the sampling rate. For example, the sampling rate may be adjusted from 2 image frames per second to 10 image frames per second, which makes the monitoring of any variation in the drainage process more accurate.
[0040] The turbidity detection module 323 is used for processing the image frames and determining the turbidity information of the drained liquid. In one embodiment, the brightness information of the image is used to characterize the turbidity of the drained liquid. The turbidity detection module may extract the brightness value of the drained liquid from the image frame, and determine the turbidity of the drained liquid based on the extracted brightness value. Various methods may be used to extract the brightness value of the drained liquid pixels in the image frame. For example, the color value of the drained liquid pixels may be converted to the YUV space from the RGB space, and the Y value may be used as the turbidity of the drained liquid, which can be presented as a conversion formula Y=0.299*R+0.587*G+0.114*B. In one embodiment, the color values of the drained liquid pixels may also be converted from RGB space to other color spaces, such as LAB space or HSI space, and the L component or the I component can be used as the brightness value of the drained liquid. In some embodiments, the average value or the mean square value of the brightness values of a plurality of drained liquid pixels may be calculated as the turbidity of the drained liquid. If the turbidity information (brightness value) of the drained liquid is greater than or equal to a threshold, it indicates that the drained liquid is in a clear state; and if the brightness value of the drained liquid is lower than the threshold, it indicates that the drained liquid is in a turbid state. For example, in a case where the drained liquid includes pus, blood clots and other components, then it will be in a turbid state.
[0041] The volume and flow rate determination module 324 may be used to determine the drained liquid volume and flow rate information by performing image recognition on the image frames. For example, as described above with respect to
[0042] The bubble identification module 325 may recognize bubbles in the sampled image frame by using image recognition technology. The bubbles may be present in the drained liquid when discharged from the drainage tube, or may float on the surface of the drained liquid. Since the bubbles have a substantially circular shape boundary, it is possible to recognize whether there are bubbles in the drained liquid or on the surface of the drained liquid through the image recognition technology.
[0043] In another embodiment, a machine learning method may be used to extract drained liquid information such as color and turbidity in the image frame. As shown in
[0044] The image feature extraction module 322′ is a neural network-based model for extracting drainage data related to the drained liquid from image frames. In one embodiment, the image feature extraction module 322′ may use a convolutional neural network (CNN) model, using the image data in the YUV color space as an input, and use the genuine value of the drainage data related to the drained liquid as an output to train the CNN model. The model obtained through training may be used for detecting the drainage data related to the drained liquid in the image frame obtained by the image sampling module 321′, including information such as color, turbidity, volume, flow rate, and whether bubbles exist or not. In particular, the neural network model may determine the volume of the drained liquid by recognizing the position of the liquid level in each frame of images, and determine the flow rate of the drained liquid based on the change in the drained liquid volume between adjacent image frames. The information of color, turbidity and bubble of the drained liquid may be determined by recognizing each frame of images.
[0045] As mentioned above, the video acquisition device 310 may include a plurality of cameras, such as a first camera aimed at the drainage bottle 200 and a second camera aimed at the drainage tube 11. In some embodiments of the present disclosure, information such as the drained liquid volume and flow rate and bubbles may be determined based on one or more images of the drainage bottle 200 acquired by the first camera, and the color and turbidity of the drained liquid are determined based on the image of the drainage tube 11 acquired by the second camera. In this way, changes of the color and turbidity of the drained liquid in the drainage process may be monitored more accurately.
[0046] Continuing to refer to
[0047] In an embodiment, the monitoring circuit 330 may monitor the drained liquid volume in the drainage bottle 200. In a case where the drained liquid volume exceeds a predetermined threshold, for example, if an excessive amount of drained liquid is discharged from the body of the patient, or in a case where the drained liquid is to be full of the entire volume of the drainage bottle 200, it can be determined that an abnormality has occurred or is about to occur. Then an alarm may be initiated, so that the patient's family member or nursing staff may be reminded to check or deal with it.
[0048] In one embodiment, the monitoring circuit 330 may monitor the color of the drained liquid. For example, in a case where the drained liquid is expected to be colorless liquid, but the monitored color of the drained liquid has color such as red or yellow, which requires timely treatment. In this occasion, the monitoring circuit 330 may initiate an alarm to remind the patient's family member or nursing staff to check or deal with it.
[0049] In one embodiment, the monitoring circuit 330 can monitor the turbidity of the drained liquid. For example, in a case where the drained liquid is expected to be clear liquid, but the monitored turbidity of the drained liquid exceeds a predetermined threshold, it may be determined that the drained liquid may include foreign matters such as blood clots, pus, and the like. In this occasion, the monitoring circuit 330 may initiate an alarm to remind the patient's family member or nursing staff to check or deal with it.
[0050] In one embodiment, the monitoring circuit 330 may monitor the flow rate of the drained liquid, i.e. the volume of the drained liquid introduced into the drainage bottle 200 per second. Under normal circumstances, the flow rate should be within a reasonable range; if the flow rate is too high, there may be abnormal phenomena such as bleeding occurring in the patient's body; and if the flow rate is too low, the drainage tube may be blocked by foreign matters such as blood clots. Therefore, in a case where the drainage flow rate is outside the reasonable range, it may be determined that an abnormality has occurred, and the monitoring circuit 330 may initiate an alarm, so as to remind the patient's family member or nursing staff to check or deal with it.
[0051] In one embodiment, the monitoring circuit 330 may also monitor whether bubbles are contained in the drained liquid. In a case where bubbles are contained in the drained liquid, it may be determined that an abnormality has occurred, and the monitoring circuit 330 can initiate an alarm, so as to promptly remind the patient's family member or nursing staff to check or deal with it.
[0052] In an example, as shown in
[0053] The monitoring circuit 330 may further include a communication unit 335, which may send relevant data and signals, such as drainage data, alarm signals, and the like, to other devices. For example, the monitoring circuit 330 shown in
[0054] In one example, the central monitoring module 350 may further include: the information processing unit 356, which is configured to process the received patient information and drainage data, such as decoding the received data, and transmitting the decoded data to the display unit 353 for display and to the storage unit 352 for storage. In a case where an alarm signal is contained in the received drainage data, the information processing unit 356 may also trigger the alarm unit 354 to alarm. The information processing unit 356 may also compare the drainage data with a predetermined threshold, which may be set by the threshold setting unit 355, or may be received from the monitoring circuit 330, so as to trigger the alarm unit 354 to issue an alarm when an abnormal phenomenon is found. That is to say, the information processing unit 356 may trigger an alarm in response to an alarm signal received from the monitoring circuit 330, or may actively trigger an alarm by monitoring the drainage data, so as to avoid medical accidents caused by failing to successfully issue an alarm at the monitoring circuit 330.
[0055]
[0056] In step S620, the video data is processed to obtain drainage data. The processing of the video data may be implemented in a data processor with image processing capabilities such as a microcontroller chip or a DSP processor. The obtained drainage data includes the volume, flow rate, color, turbidity, and the like, of the drained liquid. The processing of the video data may include sampling, image recognition, color extraction, turbidity recognition, volume identification, flow rate calculation, and so on, and the specific processing thereof may be implemented by the image processing module as described above, which will not be repeated here.
[0057] In step S630, the drainage data is received and monitored. The drainage data may be monitored by a single-chip microcomputer, a processor and the like with data operation and processing capability. For example, the drainage data may be graphically displayed on the screen. The drainage data may also be compared with corresponding threshold to recognize abnormal phenomena, and trigger an alarm in a case where an abnormal drainage occurs. Through the monitoring and alarm functions, the workload of the patients' family member and nursing personnel may be relieved, the medical risk is reduced to the maximum extent. The cost of the system is low, thus producing good economic benefits.
[0058] The above description has been presented for the purposes of illustration and explanation. Furthermore, this description is not intended to limit the embodiments of the present disclosure to the form disclosed herein. A person skilled in the art can make various changes and modifications in form and details without departing from the scope and spirit of the present disclosure. That is to say, the scope of the present disclosure is defined by the appended claims and their equivalents.