Patient behavior monitoring and early warning system

Abstract

The embodiment of the invention discloses a patient behavior monitoring and early warning system. A specific implementation mode of the system comprises door lock control equipment which is used for opening or closing a toilet door of a ward toilet according to received access control card swiping information and sending an opening time point and a closing time point of opening or closing the toilet door to a monitoring terminal; the body weight sensing equipment is used for collecting body weight data of a patient in an on state and sending the body weight data to the monitoring terminal; the monitoring terminal is used for storing the opening time point and the closing time point in a patient toilet record table corresponding to the patient number, recording the received gravity data in a pre-established patient weight data table, carrying out behavior monitoring on the toilet duration and the weight data of the patient to obtain a monitoring result, and according to the monitoring result, sending the patient weight data to the monitoring terminal; and executing a corresponding early warning operation. According to the embodiment, the toilet time of the patient can be accurately recorded, and the toilet state of the patient is monitored in real time.

Description

Technical Field

[0001] Embodiments of the present disclosure relate to the fields of medical care and computer technology, and particularly to a patient behavior monitoring and early warning system. Background Art

[0002] Existing ward toilet door locks are ordinary door locks, which have problems such as being unable to accurately record the time when patients use the toilet, unable to monitor the status of patients using the toilet in real time, and lacking an emergency unlocking and alarm mechanism.

[0003] The above information disclosed in this background art section is only used to enhance the understanding of the background of the inventive concept, and therefore, it may include information that does not form the prior art known to those of ordinary skill in the art. Summary of the Invention

[0004] This content part of the present disclosure is used to briefly introduce the inventive concepts, which will be described in detail in the following detailed implementation part. This content part of the present disclosure is not intended to identify the key features or essential features of the claimed technical solution, nor is it intended to limit the scope of the claimed technical solution.

[0005] Some embodiments of the present disclosure propose a patient behavior monitoring and early warning system to solve the technical problems mentioned in the above background art section.

[0006] In a first aspect, some embodiments of the present disclosure provide a patient behavior monitoring and early warning system, which includes: a door lock control device configured to: open or close the toilet door of the ward toilet according to the received access card swiping information, and send the opening time point and closing time point of opening or closing the toilet door to the above-mentioned monitoring terminal, wherein the access card swiping information is generated by the patient wearing a personal monitoring wristband to sense the door lock control device, and a unique identification signal is set in the above-mentioned personal monitoring wristband. During the hospitalization period of the above-mentioned patient, the identification signal of the above-mentioned personal monitoring wristband is bound to the patient number of the above-mentioned patient; a weight sensing device configured to: in the open state, collect the weight data of the above-mentioned patient, and send the above-mentioned weight data to the monitoring terminal, wherein the above-mentioned weight sensing device includes a first sensing device and a second sensing device, and the above-mentioned first sensing device and the second sensing device are used to measure the gravity exerted by the two feet of the above-mentioned patient when using the toilet as the weight data; a monitoring terminal configured to: store the opening time point and closing time point in the patient toilet use record table corresponding to the above-mentioned patient number, record the received gravity data in the pre-established patient weight data table, and perform behavior monitoring on the toilet use duration and weight data of the above-mentioned patient to obtain a monitoring result, and execute a corresponding early warning operation according to the monitoring result, wherein the above-mentioned patient toilet use record table and the above-mentioned patient weight data table are both bound to the patient number of the above-mentioned patient.

[0007] In a second aspect, some embodiments of the present disclosure provide an electronic device, including: one or more processors; a storage device storing one or more programs thereon, and when the one or more programs are executed by the one or more processors, the one or more processors implement the system described in any implementation manner of the first aspect above.

[0008] In a third aspect, some embodiments of the present disclosure provide a computer-readable medium storing a computer program thereon, wherein when the program is executed by a processor, the system described in any implementation manner of the first aspect above is implemented.

[0009] The above-mentioned various embodiments of the present disclosure have the following beneficial effects: Through the patient behavior monitoring and warning system of some embodiments of the present disclosure, the toilet use time of the patient can be accurately recorded, the toilet use status of the patient can be monitored in real time, and mechanisms such as emergency unlocking and alarm mechanisms can be equipped to ensure the safety of the patient. Specifically, the reasons for the problems of being unable to accurately record the patient's toilet use time, unable to monitor the patient's toilet use status in real time, and lacking emergency unlocking and alarm mechanisms are as follows: The existing ward toilet door locks are ordinary door locks. Even if they are set as intelligent door locks, they require relatively complex recognition logics, and it is difficult to ensure the accuracy of recognition. Based on this, in the patient behavior monitoring and warning system of some embodiments of the present disclosure, first, in order to accurately record the patient's toilet use time, a door lock control device and a personal monitoring wristband are introduced. Specifically, according to the received access card swiping information, the toilet door of the ward toilet is opened or closed, and the opening time point and closing time point of opening or closing the toilet door are sent to the above-mentioned monitoring terminal. Among them, the access card swiping information is generated by the patient wearing the personal monitoring wristband to sense the door lock control device. A unique identification signal is set in the above-mentioned personal monitoring wristband. During the above-mentioned patient's hospitalization period, the identification signal of the above-mentioned personal monitoring wristband is bound to the patient number of the above-mentioned patient. Here, by wearing the bound personal monitoring wristband for the patient, it can not only be used to record the patient's vital signs data, but also be used to record the time when the patient swipes the card for toilet use as the patient's toilet use time. Thus, it can be used to accurately record the patient's toilet use time. Then, considering the situation that it is difficult to monitor the patient's toilet use status, and considering the factor that it is not suitable to install a camera in the toilet, and there are also problems such as computing power, accuracy, and interference when installing measuring instruments such as radar and infrared. Therefore, a weight sensing device that can directly measure the patient's weight is introduced. Here, the weight sensing device can collect the weight data of the above-mentioned patient in the on state and send the above-mentioned weight data to the above-mentioned monitoring terminal. Among them, the above-mentioned weight sensing device includes a first sensing device and a second sensing device, and the above-mentioned first sensing device and the second sensing device are used to measure the gravity exerted by the patient's two feet when using the toilet as the weight data. Thus, the patient's weight data can be collected in real time through the weight sensing device. Therefore, the number of times of manually guiding the patient to weigh can be greatly reduced, and the medical staff resources can be released. Finally, by introducing the monitoring terminal, the opening time point and the closing time point can be stored in the patient toilet use record table corresponding to the above-mentioned patient number, the received gravity data can be recorded in the pre-established patient weight data table, and the toilet use duration and weight data of the above-mentioned patient can be monitored for behavior monitoring to obtain a monitoring result, and corresponding warning operations can be performed according to the monitoring result. Among them, the above-mentioned patient toilet use record table and the above-mentioned patient weight data table are both bound to the patient number of the above-mentioned patient. Thus, the patient behavior can be analyzed in combination with the patient's weight data measured by the weight sensing device to determine whether there is an abnormal situation in the toilet for the patient. For example, there are sudden situations such as falling, convulsing, and fainting.Thus, the real-time monitoring of the patient's physical condition when using the toilet is achieved. Furthermore, an alarm can be issued in a timely manner to improve the personal safety of the patient. Description of the Drawings

[0010] In combination with the accompanying drawings and with reference to the following specific embodiments, the above and other features, advantages and aspects of the various embodiments of the present disclosure will become more apparent. Throughout the drawings, the same or similar reference numerals denote the same or similar elements. It should be understood that the drawings are schematic and the elements and elements are not necessarily drawn to scale.

[0011] Figure 1 is a schematic diagram of an application scenario of a patient behavior monitoring and warning system according to the present disclosure; Figure 2 is a flowchart of some embodiments of a patient behavior monitoring and warning system according to the present disclosure; Figure 3 is a schematic diagram of the scenario of a weight sensing device; Figure 4 is a schematic structural diagram of an electronic device suitable for implementing some embodiments of the present disclosure. Detailed Embodiments

[0012] Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although some embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure can be implemented in various forms and should not be construed as limited to the embodiments set forth herein. On the contrary, these embodiments are provided to more thoroughly and completely understand the present disclosure. It should be understood that the drawings and embodiments of the present disclosure are only for exemplary purposes and are not used to limit the protection scope of the present disclosure.

[0013] In addition, it should be noted that for the sake of convenience of description, only parts related to the relevant invention are shown in the drawings. Without conflict, the embodiments in the present disclosure and the features in the embodiments can be combined with each other.

[0014] It should be noted that the concepts such as "first" and "second" mentioned in the present disclosure are only used to distinguish different devices, modules or units, and are not used to limit the order of functions performed by these devices, modules or units or their interdependent relationships.

[0015] It should be noted that the modifications of "one" and "multiple" mentioned in the present disclosure are illustrative rather than restrictive. Those skilled in the art should understand that unless otherwise clearly specified in the context, it should be understood as "one or more".

[0016] The names of the messages or information exchanged between multiple devices in the embodiments of the present disclosure are only for illustrative purposes and are not used to limit the scope of these messages or information.

[0017] Regarding the operations of collecting, storing, using, etc. of the user's personal information (such as the user's heart rate information, user's weight information, etc.) involved in the present disclosure, before performing the corresponding operations, relevant organizations or individuals fulfill obligations including conducting a personal information security impact assessment, fulfilling the obligation of notification to the personal information subject, and obtaining the prior authorization and consent of the personal information subject. The present disclosure will be described in detail below with reference to the accompanying drawings and in conjunction with embodiments.

[0018] Figure 1 It is a schematic diagram of an application scenario of a patient behavior monitoring and warning system according to some embodiments of the present disclosure.

[0019] In Figure 1 the application scenario, the above-mentioned patient behavior monitoring and warning system may include: a door lock control device 102, a weight sensing device 103, a personal monitoring wristband 104, and a monitoring terminal 105. First, the above-mentioned door lock control device 102 is configured to: open or close the toilet door of the ward toilet according to the received access card swiping information, and send the opening time point and closing time point of opening or closing the toilet door to the above-mentioned monitoring terminal, wherein the access card swiping information is generated by the patient wearing the personal monitoring wristband 104 to sense the door lock control device 102, and a unique identification signal is set in the above-mentioned personal monitoring wristband 104. During the above-mentioned patient's hospitalization period, the identification signal of the above-mentioned personal monitoring wristband 104 is bound to the patient number of the above-mentioned patient. Then, the above-mentioned weight sensing device 103 is configured to: collect the weight data of the above-mentioned patient in the open state, and send the above-mentioned weight data to the above-mentioned monitoring terminal 105, wherein the above-mentioned weight sensing device 103 includes a first sensing device 1031 and a second sensing device 1032, and the above-mentioned first sensing device and the second sensing device are used to measure the gravity exerted by the patient's feet when using the toilet as the weight data. Finally, the above-mentioned monitoring terminal 105 is configured to: store the opening time point and closing time point into the patient toilet use record table corresponding to the above-mentioned patient number, record the received gravity data in the pre-established patient weight data table, and perform behavior monitoring on the toilet use duration and weight data of the above-mentioned patient to obtain a monitoring result, and perform a corresponding warning operation according to the monitoring result, wherein the above-mentioned patient toilet use record table and the above-mentioned patient weight data table are both bound to the patient number of the above-mentioned patient.

[0020] It should be noted that the above-mentioned patient behavior monitoring and warning system can be hardware or software. When the computing device is hardware, it can be implemented as a distributed cluster composed of multiple servers or terminal devices, or as a single server or a single terminal device. When the patient behavior monitoring and warning system is embodied as software, it can be installed in the above-listed hardware devices. It can be implemented as, for example, multiple software or software modules for providing distributed services, or as a single software or software module. No specific limitation is made here. It should be understood that Figure 1 the number of gravity sensing devices or door lock control devices in the patient behavior monitoring and warning system in The present disclosure will be described in detail below with reference to the accompanying drawings and in conjunction with embodiments.

[0021] Figure 2 Flow 200 of some embodiments of the patient behavior monitoring and warning system according to the present disclosure is shown. The patient behavior monitoring and warning system includes the following steps: Step 201, the door lock control device is configured to: open or close the toilet door of the ward toilet according to the received access card swiping information, and send the opening time point and closing time point of opening or closing the toilet door to the monitoring terminal.

[0022] In some embodiments, the above-mentioned door lock control device in the execution subject (for example, the computing device) of the patient behavior monitoring and warning system is configured to: open or close the toilet door of the ward toilet according to the received access card swiping information, and send the opening time point and closing time point of opening or closing the toilet door to the above-mentioned monitoring terminal. Among them, the access card swiping information is generated by the patient wearing a personal monitoring wristband to sense the door lock control device, and a unique identification signal is set in the above-mentioned personal monitoring wristband. During the above-mentioned patient's hospitalization period, the identification signal of the above-mentioned personal monitoring wristband is bound to the patient number of the above-mentioned patient. Here, the personal monitoring wristband can establish a communication connection with the above-mentioned door lock control device within a certain distance through wireless transmission for the door lock control device to identify the identification signal of the above-mentioned personal monitoring wristband.

[0023] In some alternative implementation manners of some embodiments, the above-mentioned door lock control device may include: a door lock device, an external sensing device, and an internal sensing device; and the above-mentioned execution subject opens or closes the toilet door of the ward toilet according to the received access card swiping information, and sends the opening time point and closing time point of opening or closing the toilet door to the above-mentioned monitoring terminal, including: First step, in response to receiving the access card swiping information for the out-of-door sensing device, determine whether the above-mentioned ward toilet is occupied. Among them, when the toilet is occupied, other personal monitoring wristbands cannot open the door through the induction of the out-of-door sensing device, and the above-mentioned door lock control device extracts the corresponding patient number when the personal monitoring wristband is scanned. Here, the door lock control device can determine whether the toilet is occupied according to whether it is locked. If it is not locked, it is determined that it is not occupied. In addition, a manual unlocking knob is also provided on the inner side of the door lock control device.

[0024] Second step, in response to being occupied, issue a toilet occupancy prompt. Among them, a voice prompt function can be set on the door lock control device, and when the toilet is occupied, it emits prompt sounds such as "Toilet Occupied". Or an occupancy display sign is set on the toilet door header, displaying the words "Toilet Occupied".

[0025] Third step, in response to being unoccupied, issue a prompt indicating entry, and determine the door opening time point as the opening time point. Among them, the prompt sound of "The door has been opened, please come in" can be emitted through the above-mentioned voice prompt function.

[0026] Fourth step, in response to receiving the access card swiping information for the in-door sensing device, control the above-mentioned door lock device to unlock, and determine the time point of the card swiping information as the closing time point. Among them, after the toilet door is unlocked, adjust the occupancy status of the above-mentioned ward toilet. Before receiving the access card swiping information for the in-door sensing device and without receiving the access card swiping information for the out-of-door sensing device, determine the time point when the toilet door is closed as the start time point. Here, the access card swiping information for the in-door sensing device can be the information for unlocking. In addition, if no access card swiping information is sensed, the time point of manual unlocking can also be determined as the closing time point. Secondly, before receiving the access card swiping information for the in-door sensing device and without receiving the access card swiping information for the out-of-door sensing device, it can indicate that the out-of-door sensing device did not sense the personal monitoring wristband or the sensing failed when the patient entered the toilet. Therefore, data compensation can be carried out in this way.

[0027] In practice, the out-of-door sensing device and the in-door sensing device of the above-mentioned door lock control device can be set near the door handle for the patient to automatically scan the personal monitoring wristband worn on the patient's hand when opening the door. Thus, even when the patient forgets to scan, the toilet use time of the patient can be recorded.

[0028] Step 202, the weight sensing device is configured to: in the on state, collect the patient's weight data and send the weight data to the monitoring terminal.

[0029] In some embodiments, the weight sensing device in the above-mentioned execution entity is configured to: in the on state, collect the weight data of the above-mentioned patient and send the above-mentioned weight data to the above-mentioned monitoring terminal. Wherein, the above-mentioned weight sensing device may include a first sensing device and a second sensing device, and the above-mentioned first sensing device and the second sensing device are used to measure the gravity exerted by the two feet of the above-mentioned patient when using the toilet as the weight data.

[0030] In some alternative implementation manners of some embodiments, the above-mentioned weight sensing device is further configured to: First step, when the ward toilet is not occupied, in response to detecting the access card swiping information for the door outer sensing device, start the above-mentioned weight sensing device. In practice, in order to avoid wasting power resources by keeping the weight sensing device on for a long time when the toilet has not been used for a long time, the above-mentioned weight sensing device can be turned off when the toilet is in the unoccupied state. Therefore, when detecting the access card swiping information for the door outer sensing device, the above-mentioned weight sensing device can be restarted.

[0031] Second step, in response to not detecting the access card swiping information for the door outer sensing device and receiving the information that the toilet door is automatically locked, start the above-mentioned weight sensing device. Among them, since there are situations where the door outer sensing device does not sense the personal monitoring wristband or the sensing fails when the patient enters the toilet, when the ward toilet is automatically locked, it indicates that the patient has entered the toilet, and the above-mentioned weight sensing device also needs to be restarted.

[0032] In practice, when the patient closes the door after leaving the toilet, the ward toilet will automatically lock and the gravity sensing device will be turned off. Therefore, even if the access card swiping information of the next patient is not detected when entering, the door can be manually unlocked and the gravity sensing device can be turned on. In addition, if the patient does not close the door after leaving the toilet, the weight sensing device can also be automatically turned off when there is no pressure for a certain period of time (for example, 20 seconds). Therefore, when the next patient enters the toilet, the weight sensing device can still be started when detecting the access card swiping information for the door outer sensing device or detecting the information that the toilet door is automatically locked.

[0033] Third step, in response to detecting the access card swiping information for the door inner sensing device, turn off the above-mentioned weight sensing device.

[0034] In some alternative implementation manners of some embodiments, when the above-mentioned weight sensing device is in the on state, collecting the above-mentioned weight data of the above-mentioned patient and sending the above-mentioned weight data to the above-mentioned monitoring terminal includes: First step, initialize the above-mentioned weight sensing device. Wherein, the initialization can be to zero the weight sensing device. Thus, it is avoided that the measurement result of the patient's weight is affected by sundries placed on the weight sensing device.

[0035] In the second step, the gravity applied by the patient when using the toilet is measured by the above-mentioned weight sensing device including the first sensing device and the second sensing device, obtaining the first weight sensing data and the second weight sensing data. Among them, the measurement results of the first sensing device and the second sensing device do not need to distinguish between the left and right feet. The positions of the first sensing device and the second sensing device can be set in the front area of the toilet bowl. Thus, whether the patient is standing or sitting, both feet can naturally step on the first sensing device and the second sensing device to obtain the first weight sensing data and the second weight sensing data.

[0036] As an example, refer to Figure 3 . Figure 3 The weight sensing device in is laid directly in front of the toilet 301. Therefore, whether standing (e.g., urinating) or sitting (e.g., urinating and / or defecating), one needs to step on the gravity sensing device. Figure 3 The dashed circles in can be the support feet of the first sensing device and the second sensing device. The first sensing device and the second sensing device can be weighing scales with waterproof performance. At the same time, a drain outlet can be provided at the lower side of the device to avoid water accumulation in the installed groove. The first sensing device and the second sensing device are embedded in the ground so that the upper surface is parallel to the ground to avoid bumping. Here, the weight sensing device can be wired to the monitoring terminal (the weight sensing devices in multiple ward toilets can concentrate signals through a switch device and be wired to one or more monitoring terminals), enhancing the anti-interference effect and avoiding the interference situation of wireless connection. Thus, the real-time performance and accuracy of the measurement results are improved. In addition, if it is detected that there is still a reading on the weight sensing device when no one is using the toilet, a device failure reminder can be sent to the medical staff terminal through the monitoring terminal. For example, there is a foreign object stuck in the gap between the first sensing device or the second sensing device and the ground. Thus, the fault can be processed in time to ensure the normal operation of the device.

[0037] In the third step, the above-mentioned first weight sensing data, the above-mentioned second weight sensing data and the corresponding timestamp are combined into weight data, and the weight data is sent to the above-mentioned monitoring terminal.

[0038] Step 203, the monitoring terminal is configured to: store the start time point and the end time point in the patient toilet use record table corresponding to the patient number, record the received gravity data in the pre-established patient weight data table, and perform behavior monitoring on the patient's toilet use duration and weight data to obtain a monitoring result, and perform corresponding warning operations according to the monitoring result.

[0039] In some embodiments, the monitoring terminal in the above-mentioned execution entity is configured to: store the opening time point and the closing time point into the patient toilet use record table corresponding to the above-mentioned patient number, record the received gravity data in the pre-established patient weight data table, and perform behavior monitoring on the toilet use duration and weight data of the above-mentioned patient to obtain a monitoring result, and perform corresponding warning operations according to the monitoring result. Among them, the above-mentioned patient toilet use record table and the above-mentioned patient weight data table are both bound to the patient number of the above-mentioned patient.

[0040] In some optional implementation manners of some embodiments, the above-mentioned execution entity performs behavior monitoring on the toilet use duration and weight data of the above-mentioned patient to obtain a monitoring result, including: First step, in response to the access card swiping information for the door sensor device outside the door, extract the predicted patient weight corresponding to the patient number in the above-mentioned access card swiping information from a preset database, where the above-mentioned predicted patient weight is the patient weight pre-measured for the patient manually.

[0041] Second step, determine the sum of the first weight sensing data and the second weight sensing data in the above-mentioned weight data as the current patient weight.

[0042] Third step, determine the difference between the first weight sensing data and the second weight sensing data in the above-mentioned weight data as the patient's two-foot gravity difference, where the continuous patient's two-foot gravity difference can be used to judge whether the patient's standing posture is stable.

[0043] Fourth step, judge the number of people using the toilet according to the above-mentioned predicted patient weight, the above-mentioned current patient weight, and the above-mentioned patient's two-foot gravity difference. Among them, in response to the difference between the above-mentioned current patient weight and the above-mentioned predicted patient weight being greater than a preset weight range, it is determined that the number of people using the toilet is greater than 1. In practice, the judgment of the number of people using the toilet may also include at least one of the following judgment strategies: in response to the difference between the above-mentioned current patient weight and the above-mentioned predicted patient weight being less than the preset weight range, it is determined that the toilet use target is not the person himself or the standing position is deviated, and he can be guided to the toilet standing position by means of manual reminder. If the difference is within the preset weight range, it can be determined that the number of people using the toilet is equal to 1. If the patient's two-foot gravity difference is greater than the preset threshold and the patient's legs are normal, it is determined that the number of people using the toilet is greater than 1. Thus, the actual number of people using the toilet can be determined greatly to avoid the error of measuring the patient's weight. In addition, if the measurement result is uncertain, the current patient weight can be marked as an abnormal value.

[0044] Step 5: In response to the number of people using the toilet being greater than 1 and the number of people using the toilet in the previous toilet use record of the patient also being greater than 1, increment the preset toilet occupancy overcount by 1, where the toilet occupancy overcount is a statistical value indicating that the number of people using the toilet is greater than 1 in consecutive toilet use records of the patient. Here, the continuous overcount of the toilet occupancy greater than 1 can indicate that the patient cannot use the toilet alone. Then, if necessary, weight measurement can be performed regularly manually.

[0045] Step 6: In response to the toilet occupancy overcount being greater than a preset value, generate a weight monitoring pause instruction and mark the current patient's weight as an outlier. By marking the outlier, it can be used to exclude abnormal data when using the patient's weight data subsequently. Thus, the influence on feature extraction can be avoided, and the accuracy can be improved accordingly.

[0046] In practice, the determination of the number of people using the toilet can be done by means of a sliding window to determine the data at consecutive time points (e.g., 10 frames), and then the final result is obtained by summarization. Thus, the influence of individual sudden data on the discrimination result can be avoided.

[0047] In some optional implementation manners of some embodiments, the execution subject monitors the toilet use duration and weight data of the patient to obtain a monitoring result, and further includes: In response to the number of people using the toilet being equal to 1, perform the following processing steps according to the added patient weight data table: First step: Extract the weight data after the door opening time point from the patient weight data table to obtain the patient weight sequence, the patient left foot gravity sequence, and the patient right foot gravity sequence. Among them, the patient weight sequence, the patient left foot gravity sequence, and the patient right foot gravity sequence can be obtained from the data corresponding to the patient weight field in the patient weight data table and the weight data after the door opening time point.

[0048] Second step: Mark the values with outliers in the patient weight sequence, the patient left foot gravity sequence, and the patient right foot gravity sequence to obtain the patient weight sequence after removal, the patient left foot gravity sequence after removal, and the patient right foot gravity sequence after removal.

[0049] In practice, considering that the patient's weight data is collected by the first sensing device and the second sensing device, when the patient moves their feet, it is easy to detect weight data that is large and small. The change in the data itself also represents the change characteristics of the patient's posture. Therefore, when performing data denoising, the commonly used denoising algorithms are not applicable, and the abnormal points cannot be directly removed using the commonly used denoising methods. Instead, the data previously marked as outliers should be removed. In contrast, not only is the removal more accurate, but it can also reduce the computing power, and at the same time, it can retain the patient's own posture characteristics, and then be used to monitor whether the patient has a sudden abnormality during toilet use based on this data.

[0050] In the third step, based on the current patient's weight described above, weight regression processing is performed on the gravity sequence of the patient's left foot after the above removal and the gravity sequence of the patient's right foot after the above removal, to obtain the processed gravity sequence of the patient's left foot and the processed gravity sequence of the patient's right foot. Among them, the weight regression processing uses the current patient's weight as the reference value to perform noise reduction on the gravity sequence of the patient's left foot after the above removal and the gravity sequence of the patient's right foot after the above removal. The weight regression processing is used to remove the inertial characteristics generated due to the patient's movement, so as to retain the original behavioral characteristics of the patient's left and right feet.

[0051] Specifically, first, the ratio between the sum of the gravity of the patient's left foot after the above removal and the gravity of the patient's right foot after the above removal corresponding to the same time stamp in each group and the current patient's weight can be determined. If the ratio is greater than 1, it is determined that there are inertial characteristics. Then, the ratio between the gravity difference of the patient's two feet and the current patient's weight is determined as the correction ratio. After that, the product of the above correction ratio and the gravity difference of the patient's two feet can be determined as the correction value. Finally, the larger value among the gravity of the patient's left foot after the above removal and the gravity of the patient's right foot after the above removal can be subtracted by the above correction value to obtain the gravity of the patient's left foot after the above removal or the gravity of the patient's right foot after the above removal.

[0052] In practice, for the other relatively smaller gravity of the patient's right foot after the above removal or the gravity of the patient's left foot after the above removal, it can remain unchanged. Here, considering that there are those with relatively large inertia, what often affects the subsequent judgment is the larger value among the two values. Therefore, if it is determined that there are inertial characteristics, the larger value among the two values is reduced. In addition, in order to avoid excessive reduction, the ratio between the gravity difference of the patient's two feet and the current patient's weight is determined as the correction ratio. The larger the correction ratio, the greater the inertia of the larger value, so the correction value is greater. At the same time, in order to avoid being less than the current patient's weight after correction, the gravity difference of the patient's two feet is also used as the base of the correction value, and thus correction is performed on this basis. It can not only reduce the inertial characteristics, but also retain the original characteristics of the gravity data of the two feet.

[0053] In the fourth step, based on the weight sequence of the patient after the above removal, the toilet use method of the above patient is determined to obtain a toilet use method identifier. Among them, the above toilet use method identifier represents a standing position or a sitting position. Among them, if the weight of the patient after the above removal in the weight sequence of the patient after the above removal exists in a certain proportion range (for example, between [20%, 40%]) of the current patient's weight for a continuous time period (for example, continuous 5 seconds), it can be determined that the toilet use posture of the above patient is a sitting position. Otherwise, it can be determined that the posture is a standing position.

[0054] Step 5: Conduct overall weight monitoring on the above-mentioned post-removal patient weight sequence to generate an overall weight monitoring result. Among them, the overall weight monitoring is used to detect whether there is a situation where the post-removal patient weight sequence exceeds the preset weight monitoring range continuously (for example, within a continuous 3-second period). If the post-removal patient weight that continuously exceeds the preset weight monitoring range indicates that the patient has a sudden abnormality during toilet use, and the above-mentioned preset weight monitoring range is adaptively adjusted according to the above-mentioned toilet use method identifier and the current patient weight. In practice, the overall weight monitoring result can be used to determine whether the patient has sudden situations such as falling, convulsions, and fainting from the perspective of the patient's overall physical signs. In addition, considering that the patient's toilet use postures are different, the corresponding applied gravity is also different. Therefore, the preset weight monitoring range is adaptively adjusted according to the above-mentioned toilet use method identifier and the current patient weight.

[0055] Step 6: According to the above-mentioned toilet use method identifier, perform feature extraction on the two-dimensional data formed by combining the above-mentioned processed patient left-foot gravity sequence and the processed patient right-foot gravity sequence to generate patient abnormal posture abnormal information. Among them, considering that the above-mentioned processed patient left-foot gravity sequence and the processed patient right-foot gravity sequence are continuous data sequences, even if there is a situation where the left and right foot gravities are swapped, the data in the above-mentioned processed patient left-foot gravity sequence and the processed patient right-foot gravity sequence still belong to a gradually changing state. However, sudden situations of the patient, such as falling, convulsions, and fainting, often show a sudden change in the feedback of gravity. Therefore, the combined two-dimensional data is detected through a preset dynamic sliding window, and at the same time, feature extraction is performed on the data within the window through a pre-trained SVM (Support Vector Machine) algorithm to obtain an abnormal posture identifier. The abnormal posture identifier is determined as the patient abnormal posture abnormal information. Here, the step size of the dynamic sliding window can vary according to the detected abnormal posture identifier.

[0056] In practice, when an abnormal posture identifier indicating abnormal situations such as falling and convulsions is detected, considering that it belongs to a mutant feature, in order to improve the detection accuracy, the window step size can be reduced. For example, the window step size is reduced by 20%. If an abnormal posture identifier indicating abnormal situations such as fainting is detected, considering that it belongs to a long-term trend, the window length can be increased, and the step size can be increased on the basis of the fixed window length. For example, the window step size is increased by 20%. Thus, the detection accuracy is improved.

[0057] Here, the SVM algorithm can extract data from the data within the window: mean, standard deviation, kurtosis, skewness, quantiles, dynamic features, etc. Here, the dynamic features can include acceleration, impact index, etc. A radial basis kernel function can be set in the SVM algorithm. Additionally, feature extraction can also be performed in combination with auxiliary judgment to obtain an abnormal posture identifier. For example, if it is detected that the data within the window fluctuates little and remains unchanged for a long time, it can be determined that the patient has fainted, and an abnormal posture identifier representing fainting is generated. Thus, there is no need to introduce more models, reducing the consumption of computing resources.

[0058] Optionally, the above monitoring terminal is further configured as follows: In the first step, obtain heart rate monitoring data. Among them, the above heart rate monitoring data is the data detected by the above personal care wristband corresponding to the same time period as the above removed patient weight sequence. Here, the personal care wristband can be a wristband with sensing functions. It can not only be used to unlock the access control but also be used to monitor data such as the patient's heart rate.

[0059] In the second step, perform abnormal analysis on the above heart rate monitoring data to generate a heart rate abnormal analysis result. Among them, first, the heart rate data corresponding to the abnormal information of the patient's abnormal posture in the above heart rate monitoring data can be located. Then, through a pre-set abnormal analysis algorithm, abnormal analysis can be performed on the above heart rate data to generate a heart rate abnormal analysis result. Here, the heart rate data corresponding to the abnormal information of the patient's abnormal posture can be the timestamp of the data within the sliding window corresponding to the patient's posture abnormal identifier when the patient's posture abnormal identifier is detected, as the timestamp for selecting the heart rate data. Thus, the heart rate data at the same moment as the patient's abnormal posture can be located. Therefore, the abnormal situation of the patient can be assisted in being determined through the heart rate data.

[0060] In some optional implementation manners of some embodiments, the above execution subject performs corresponding warning operations according to the monitoring results, including: In the first step, in response to determining that the above toilet use duration is greater than the preset duration threshold, issue a toilet use timeout warning operation. Among them, if the toilet use duration is greater than the preset duration threshold (for example, 15 minutes), it is easy to have undetected abnormal situations. At the same time, too long toilet use time has an adverse impact on the patient. Therefore, it is necessary to issue a toilet use timeout warning operation. For example, issue a voice prompt through the door lock control device or notify the medical staff terminal.

[0061] Second step, in response to the identification indicating abnormal patient behavior included in the above abnormal patient posture and movement information, or the identification indicating abnormal patient heart rate included in the above abnormal heart rate analysis result, an emergency rescue instruction is sent to the target terminal, and the above door lock control device is controlled to perform emergency unlocking. Thus, effective monitoring during the patient's toilet use is achieved, and emergency unlocking and the implementation of the alarm mechanism can be carried out in a timely manner according to the patient's abnormal conditions. Furthermore, the safety of the patient is improved.

[0062] The above-mentioned various embodiments of the present disclosure have the following beneficial effects: Through the patient behavior monitoring and warning system of some embodiments of the present disclosure, the toilet use time of the patient can be accurately recorded, the toilet use status of the patient can be monitored in real time, and mechanisms such as emergency unlocking and alarm mechanisms can be equipped to ensure the safety of the patient. Specifically, the reasons for the problems such as the inability to accurately record the patient's toilet use time, the inability to monitor the patient's toilet use status in real time, and the lack of emergency unlocking and alarm mechanisms are as follows: The existing ward toilet door locks are ordinary door locks. Even if they are set as intelligent door locks, they require relatively complex recognition logics, and it is difficult to ensure the accuracy of recognition. Based on this, for the patient behavior monitoring and warning system of some embodiments of the present disclosure, first, in order to accurately record the patient's toilet use time, a door lock control device and a personal monitoring wristband are introduced. Specifically, according to the received access card swiping information, the toilet door of the ward toilet is opened or closed, and the opening time point and closing time point of opening or closing the toilet door are sent to the above-mentioned monitoring terminal. Among them, the access card swiping information is generated by the patient wearing the personal monitoring wristband to sense the door lock control device. A unique identification signal is set in the above-mentioned personal monitoring wristband. During the hospitalization period of the above-mentioned patient, the identification signal of the above-mentioned personal monitoring wristband is bound to the patient number of the above-mentioned patient. Here, by wearing the bound personal monitoring wristband for the patient, it can not only be used to record the patient's vital sign data, but also be used to record the time when the patient swipes the card for toilet use as the patient's toilet use time. Thus, it can be used to accurately record the patient's toilet use time. Then, considering the situation that it is difficult to monitor the patient's toilet use status, and considering the factor that it is not suitable to install a camera in the toilet, and there are also problems such as computing power, accuracy, and interference when installing measurement instruments such as radar and infrared. Therefore, a weight sensing device that can directly measure the patient's weight is introduced. Here, the weight sensing device can collect the weight data of the above-mentioned patient in the open state and send the above-mentioned weight data to the above-mentioned monitoring terminal. Among them, the above-mentioned weight sensing device includes a first sensing device and a second sensing device, and the above-mentioned first sensing device and the second sensing device are used to measure the gravity exerted by the patient's feet when using the toilet as the weight data. Thus, the patient's weight data can be collected in real time through the weight sensing device. Therefore, the number of times of manually guiding the patient to weigh can be greatly reduced, and the medical staff resources can be released. Finally, by introducing the monitoring terminal, the opening time point and closing time point can be stored in the patient toilet use record table corresponding to the above-mentioned patient number, the received gravity data can be recorded in the pre-established patient weight data table, and the toilet use duration and weight data of the above-mentioned patient can be monitored for behavior monitoring to obtain the monitoring result, and corresponding warning operations can be performed according to the monitoring result. Among them, the above-mentioned patient toilet use record table and the above-mentioned patient weight data table are both bound to the patient number of the above-mentioned patient. Thus, the patient behavior can be analyzed in combination with the patient's weight data measured by the weight sensing device to determine whether there is an abnormal situation in the toilet for the patient. For example, there are sudden situations such as falling, convulsing, and fainting.Thus, the real-time monitoring of the patient's physical condition when using the toilet is achieved. Furthermore, an alarm can be given in a timely manner to improve the personal safety of the patient. Reference is made below Figure 4 to FIG. [FIGURE NUMBER], which shows a schematic structural diagram of an electronic device (such as a computing device) suitable for use in implementing some embodiments of the present disclosure. Figure 4 The electronic device shown is merely an example and should not impose any limitations on the functions and scope of use of the embodiments of the present disclosure. As Figure 4 shown, the computer device includes a processor, a memory, and a network interface connected via a system bus. Among them, the memory may include a non-volatile storage medium and an internal memory. The non-volatile storage medium can store an operating system and a computer program. The computer program includes program instructions, and when the program instructions are executed, the processor can execute any one of the methods. The processor is used to provide computing and control capabilities to support the operation of the entire computer device. The internal memory provides an environment for the operation of the computer program in the non-volatile storage medium, and when the computer program is executed by the processor, the processor can execute any one of the methods. The network interface is used for network communication, such as sending assigned tasks, etc. Those skilled in the art can understand that Figure 4 the structure shown in FIG. [FIGURE NUMBER] is only a block diagram of some structures related to the solution of the present disclosure and does not constitute a limitation on the computer device to which the solution of the present disclosure is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine some components, or have a different component layout.

[0063] It should be understood that the processor may be a central processing unit (CPU), and the processor may also be other general-purpose processors, digital signal processors (DSPs), application specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Among them, the general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0064] Note: The figure number in "[FIGURE NUMBER]" needs to be filled with the actual figure number in the original text. Since it's not provided in the given text, it remains as a placeholder here.Among them, in one embodiment, the above-mentioned processor is used to run a computer program stored in the memory to implement the following steps: The door lock control device is configured to: open or close the toilet door of the ward toilet according to the received access card swiping information, and send the opening time point and closing time point of opening or closing the toilet door to the above-mentioned monitoring terminal, where the access card swiping information is generated by the patient through the personal monitoring wristband worn by the patient to sense the door lock control device. A unique identification signal is set in the above-mentioned personal monitoring wristband. During the hospitalization period of the above-mentioned patient, the identification signal of the above-mentioned personal monitoring wristband is bound to the patient number of the above-mentioned patient; The weight sensing device is configured to: in the open state, collect the weight data of the above-mentioned patient, and send the above-mentioned weight data to the monitoring terminal, where the above-mentioned weight sensing device includes a first sensing device and a second sensing device, and the above-mentioned first sensing device and the second sensing device are used to measure the gravity exerted by the two feet of the above-mentioned patient when using the toilet as the weight data; The monitoring terminal is configured to: store the opening time point and closing time point into the patient toilet use record table corresponding to the above-mentioned patient number, record the received gravity data in the pre-established patient weight data table, and perform behavior monitoring on the toilet use duration and weight data of the above-mentioned patient to obtain a monitoring result, and according to the monitoring result, perform a corresponding warning operation, where the above-mentioned patient toilet use record table and the above-mentioned patient weight data table are both bound to the patient number of the above-mentioned patient.

[0065] The embodiments of the present disclosure also provide a computer-readable storage medium. A computer program is stored on the above-mentioned computer-readable storage medium. The above-mentioned computer program includes program instructions. The method implemented when the above-mentioned program instructions are executed can refer to the various embodiments of the above-mentioned patient behavior monitoring and warning system of the present disclosure.

[0066] Among them, the above-mentioned computer-readable storage medium may be an internal storage unit of the computer device in the foregoing embodiment, such as the hard disk or memory of the above-mentioned computer device. The above-mentioned computer-readable storage medium may also be an external storage device of the above-mentioned computer device, such as a plug-in hard disk equipped on the above-mentioned computer device, a Smart Media Card (SMC), a Secure Digital (SD) card, a Flash Card, etc.

[0067] It should be noted that, in this document, the terms "including", "comprising" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or system including a series of elements not only includes those elements but also includes other elements not expressly listed, or further includes elements inherent to such process, method, article or system. Without further limitation, an element defined by the statement "including one..." does not exclude the existence of additional identical elements in the process, method, article or system including such element.

[0068] The above description is only some preferred embodiments of the present disclosure and an explanation of the applied technical principles. Those skilled in the art should understand that the scope of the invention involved in the embodiments of the present disclosure is not limited to the technical solutions formed by the specific combination of the above technical features, and should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the above inventive concept. For example, the technical solutions formed by mutually replacing the above features with the technical features (but not limited to) having similar functions disclosed in the embodiments of the present disclosure.

Claims

1. A patient behavior monitoring and early warning system, characterized in that: The patient behavior monitoring and early warning system includes: a door lock control device, a weight sensing device, a personal monitoring wristband and a monitoring terminal, wherein: The door lock control device is configured to: open or close the toilet door of the ward toilet according to the received access card swiping information, and send the opening time point and closing time point of opening or closing the toilet door to the monitoring terminal, wherein the access card swiping information is generated by the patient through the personal monitoring wristband induction door lock control device, and the personal monitoring wristband is provided with a unique identification signal, and during the patient's hospitalization period, the identification signal of the personal monitoring wristband is bound to the patient number of the patient; The weight sensing device is configured to: in an on state, collect the weight data of the patient, and send the weight data to the monitoring terminal, wherein the weight sensing device comprises a first sensing device and a second sensing device, the first sensing device and the second sensing device are used to measure the gravity applied by the patient's feet when entering the toilet as the weight data; The monitoring terminal is configured to: store the opening time point and the closing time point in the patient toilet record table corresponding to the patient number, record the received gravity data in a pre-established patient weight data table, and perform behavioral monitoring on the patient's toilet usage time and weight data to obtain monitoring results, and execute corresponding early warning operations based on the monitoring results, wherein the patient toilet record table and the patient weight data table are bound to the patient number of the patient.

2. The patient behavior monitoring and early warning system according to claim 1, characterized in that: The door lock control device comprises: a door lock device, an outside door sensing device and an inside door sensing device; and The method of opening or closing the toilet door of the ward toilet according to the received access card swiping information, and sending the opening time point and the closing time point of opening or closing the toilet door to the monitoring terminal, includes: In response to receiving access card swiping information for the door sensor, determining whether the ward toilet is occupied, wherein when the toilet is occupied, other personal monitoring wristbands cannot open the door through the induction of the door sensor, the door lock control device extracts the corresponding patient number when the personal monitoring wristband is scanned, and the door lock device is used to automatically lock the door after the patient manually closes the door; In response to being occupied, issuing a toilet occupancy reminder; In response to being unoccupied, issuing a prompt to indicate entry, and determining the door opening time point as the opening time point; In response to receiving access control card swiping information for the door interior sensing device, the door lock device is controlled to be unlocked, and the time point of the card swiping information is determined as the closing time point, wherein after the toilet door is unlocked, the occupancy status of the ward toilet is adjusted, and before the access control card swiping information for the door interior sensing device is received and the access control card swiping information for the door exterior sensing device is not received, the time point when the toilet door is closed is determined as the starting time point.

3. The patient behavior monitoring and early warning system according to claim 2, characterized in that: The weight sensing device is further configured to: When the ward toilet is not occupied, in response to detecting access card swiping information for the door sensor, the weight sensing device is activated; In response to not detecting the access card swiping information for the door sensor device outside the door and receiving the information that the toilet door is automatically locked, starting the weight sensing device; In response to detecting access card swiping information for the in-door sensing device, the weight sensing device is turned off.

4. The patient behavior monitoring and early warning system according to claim 1, characterized in that: In the turned-on state, collecting the patient's weight data and sending the weight data to the monitoring terminal includes: Initializing the weight sensing device; The weight sensing device comprises a first sensing device and a second sensing device, respectively measuring the gravity applied by the patient when entering the toilet, to obtain first weight sensing data and second weight sensing data; The first weight sensing data, the second weight sensing data and the corresponding timestamp are combined into weight data, and the weight data is sent to the monitoring terminal.

5. The patient behavior monitoring and early warning system according to claim 1, characterized in that: The patient's toilet time and weight data are monitored to obtain monitoring results, including: In response to the access card swiping information for the door sensor, extracting the predicted patient weight corresponding to the patient number in the access card swiping information from a preset database, wherein the predicted patient weight is the patient weight measured in advance; Determine the sum of the first weight sensing data and the second weight sensing data in the weight data as the current patient weight; Determine the difference between the first body weight sensing data and the second body weight sensing data in the body weight data as the gravity difference between the patient's feet, wherein the continuous gravity difference between the patient's feet is used to determine whether the patient's standing posture is stable; The number of people using the toilet is determined based on the predicted patient weight, the current patient weight, and the difference in gravity between the patient's feet, wherein in response to the difference between the current patient weight and the predicted patient weight being greater than a preset weight interval, it is determined that the number of people using the toilet is greater than 1; In response to the number of people entering the toilet being greater than 1, and the number of people entering the toilet in the last toilet visit record of the patient is also greater than 1, adding 1 to a preset excess count of the number of people entering the toilet, wherein the excess count of the number of people entering the toilet is a statistical value in which the number of people entering the toilet is greater than 1 in the patient's continuous toilet visit records; In response to the excess count of the number of people entering the toilet being greater than a pre-set value, a weight monitoring pause instruction is generated, and the current patient weight is marked as an abnormal value.

6. The patient behavior monitoring and early warning system according to claim 5, characterized in that: The monitoring of the patient's toilet time and weight data to obtain the monitoring results also includes: In response to the number of people entering the toilet being equal to 1, the following processing steps are performed according to the added patient weight data table: Extracting the weight data after the door opening time point from the patient weight data table to obtain the patient weight sequence, the patient left foot gravity sequence and the patient right foot gravity sequence; The values ​​marked with abnormal values ​​in the patient weight sequence, the patient left foot gravity sequence and the patient right foot gravity sequence are obtained to obtain a post-removal patient weight sequence, a post-removal patient left foot gravity sequence and a post-removal patient right foot gravity sequence; According to the current patient weight, weight regression processing is performed on the patient's left foot gravity sequence after removal and the patient's right foot gravity sequence after removal to obtain a processed patient's left foot gravity sequence and a processed patient's right foot gravity sequence, wherein the weight regression processing uses the current patient weight as a reference value to perform noise reduction on the patient's left foot gravity sequence after removal and the patient's right foot gravity sequence after removal, and the weight regression processing is used to remove inertial features generated by patient movement to retain original behavioral features of the patient's left and right feet; Determine the patient's toileting method according to the removed patient weight sequence, and obtain a toileting method identifier, wherein the toileting method identifier represents a standing posture or a sitting posture; Performing overall weight monitoring on the post-removal patient weight sequence to generate an overall weight monitoring result, wherein the overall weight monitoring is used to detect whether there is a situation in the post-removal patient weight sequence that continuously exceeds a preset weight monitoring range, and the post-removal patient weight that continuously exceeds the preset weight monitoring range indicates that the patient has a sudden abnormality during toileting, and the preset weight monitoring range is adaptively adjusted according to the toileting method identifier and the current patient weight; According to the toileting method identifier, feature extraction is performed on the two-dimensional data formed by merging the processed patient's left foot gravity sequence and the processed patient's right foot gravity sequence to generate abnormal posture information of the patient.

7. The patient behavior monitoring and early warning system according to claim 6, characterized in that: The monitoring terminal is further configured to: Acquire heart rate monitoring data, wherein the heart rate monitoring data is data detected by the personal monitoring wristband and corresponds to the same time period as the weight sequence of the patient after removal; An abnormality analysis is performed on the heart rate monitoring data to generate a heart rate abnormality analysis result.

8. The patient behavior monitoring and early warning system according to claim 7, characterized in that: The corresponding early warning operation is performed according to the monitoring result, including: In response to determining that the toilet time duration is greater than a preset time threshold, issuing a toilet timeout warning operation; In response to the abnormal posture information of the patient including an identification indicating abnormal patient behavior, or the abnormal heart rate analysis result including an identification indicating abnormal patient heart rate, an emergency rescue instruction is issued to the target terminal, and the door lock control device is controlled to perform emergency unlocking.

9. An electronic device, comprising: one or more processors; a storage device having one or more programs stored thereon, When the one or more programs are executed by the one or more processors, the one or more processors implement the system according to any one of claims 1 to 8.

10. A computer readable medium having a computer program stored thereon, wherein: When the program is executed by a processor, the system according to any one of claims 1 to 8 is implemented.

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