A data processing-based anti-tube pulling method and system

By collecting user facial images and tension change curves, combined with the automated control of restraint straps and contraction sleeves, the problem of preventing unplanned extubation in delirium patients was solved, achieving a real-time and humanized extubation prevention effect.

CN122157959APending Publication Date: 2026-06-05NINGBO REHABILITATION HOSPITAL (NINGBO REHABILITATION CENT FOR DISABLED PERSONS NINGBO REHABILITATION CENT FOR DEAF CHILDREN)
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
NINGBO REHABILITATION HOSPITAL (NINGBO REHABILITATION CENT FOR DISABLED PERSONS NINGBO REHABILITATION CENT FOR DEAF CHILDREN)
Filing Date
2026-03-05
Publication Date
2026-06-05

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  • Figure CN122157959A_ABST
    Figure CN122157959A_ABST
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Abstract

The application relates to a data processing-based anti-pipe pulling method and system, and relates to the technical field of data processing, which comprises the following steps: collecting a user's face image, and matching a personnel state type based on the user's face image; in a first state, collecting a traction tension condition of a restraint belt and positioning information of a finger sleeve, generating a tension change curve according to the traction tension condition, restraining the wrist of the user by the restraint belt when the tension change curve appears an upward mutation, and determining a close distance according to the positioning information of the finger sleeve and the positioning information of a nasal cannula; matching a real-time contraction amount according to the close distance, and controlling a contraction sleeve at the elbow joint of the user to contract and restrain based on the real-time contraction amount; after the contraction sleeve completes the contraction and restraint, the restraint belt releases the restraint on the wrist of the user, and the contraction sleeve continues to adjust the real-time tightness. The application has the effects of reducing excessive restriction on a delirious user and reducing artificial monitoring and intervention.
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Description

Technical Field

[0001] This invention relates to the field of data processing, and in particular to a method and system for preventing pipe pulling based on data processing. Background Technology

[0002] Delirium is a common acute disorder of consciousness syndrome in clinical nursing care in intensive care units and general wards. Patients often present with symptoms such as confusion, cognitive dissonance, agitation, and loss of behavioral control. For delirious patients with indwelling nasal intubations or other therapeutic catheters, unplanned extubation is a high-risk adverse event in clinical nursing care.

[0003] To prevent unplanned extubation in delirious patients, the most common clinical intervention is physical restraint, which involves using cotton restraint straps to directly bind and fix the patient's wrists to the bed rails, thereby forcibly restricting limb movement and preventing them from touching the tubes.

[0004] Traditional restraint methods overemphasize the function of restriction while neglecting the patient's physiological comfort and psychological needs. Forcible restraint can exacerbate psychological stress responses, leading to more intense struggling behavior. Furthermore, traditional restraint methods rely on manual monitoring and intervention, which suffers from response lag and assessment bias. Medical staff need to make regular rounds to assess the user's restraint status and the risk of extubation, but cannot capture the patient's limb movement intentions in real time. Summary of the Invention

[0005] To reduce excessive restrictions on delirium patients and to reduce manual monitoring and intervention, this invention provides a data processing-based method and system for preventing extubation.

[0006] In a first aspect, the present invention provides a data processing-based method for preventing tube unplugging, employing the following technical solution: A data processing-based method for preventing tube pull-out includes: Collect user facial images and match the user's status type with preset recognition features. The user status type includes a first status and a second status. In the first state, the traction force of the user on the restraint strap preset on the wrist and the positioning information of the positioning finger sleeve installed on the user's fingers are collected. Generate a tension variation curve based on the traction force; When the tension change curve shows a sudden upward change, the restraint strap restrains the user's wrist and determines the approach distance based on the finger cot positioning information and the preset nasal cannula positioning information. The real-time contraction amount is matched according to the proximity distance, and the contraction sleeve preset at the user's elbow joint is controlled to contract and restrain based on the real-time contraction amount; After the shrink sleeve completes its shrinking and binding action, the restraint straps loosen their binding on the user's wrists, and the shrink sleeve continues to adjust its tightness in real time according to the amount of shrinkage.

[0007] By adopting the above technical solution, when a user falls ill, the system can determine in real time whether the user intends to pull the tube unplanned, under the condition of manual intervention. When there is a sudden attempt to pull the tube, the user's wrist is temporarily restrained by a restraint strap so that the system can linearly contract the retractable sleeve installed at the user's elbow joint. After the retractable sleeve completes contraction, the restraint strap is released from the user. The retractable sleeve continues to adjust the amount of contraction in real time according to the user's movements. At this time, the user's arm is restricted from bending to avoid pulling the tube. Moreover, the user's arm can still move when the retractable sleeve is restraining the user. This is more humane than the method of directly and forcibly restricting limb movement.

[0008] Optionally, methods for matching real-time contraction based on proximity include: User registration information is retrieved from a pre-set medical database based on the user's facial image; Retrieve user height information from user registration information; Based on the user's height information, a reference distance between the hand and nose and a reference elbow thickness are matched; Based on the reference elbow circumference, a reference contraction amount is matched; Calculate the proximity ratio between the proximity distance and the hand-nose reference distance; The real-time shrinkage amount is matched based on the proximity ratio and the baseline shrinkage amount, and the real-time shrinkage amount is output.

[0009] Optional, also includes: Retrieve user weight information from user registration information; Body mass index is determined based on user height and weight information; The index deviation rate is determined based on the body mass index and a preset benchmark index; The shrinkage correction amount is determined based on the index deviation rate and the baseline shrinkage amount; The baseline shrinkage is increased or decreased based on the shrinkage correction amount, and the corrected baseline shrinkage is output.

[0010] Optional handling methods when the tensile force change curve does not show a sudden upward change include: User registration information is retrieved from a pre-set medical database based on the user's facial image; Retrieve user height information from user registration information; Matches hand-nose reference distance based on user height information; The hand-nose baseline distance is divided into multiple activity zones using a preset division method. Each activity zone is matched with the corresponding zone contraction amount based on the minimum distance from the nose. The approach distance is determined based on the positioning information of the finger cot and the preset positioning information of the nasal cannula; Match the corresponding activity range based on proximity and retrieve the corresponding range contraction amount; Adjust the tightness of the shrink sleeve according to the amount of shrinkage in the interval.

[0011] By adopting the above technical solution, when a user has an attack, if the user does not attempt to remove the tube unplanned, the system will adjust the retractable sleeve in stages. By dividing the space between the user's hand and nose into multiple activity zones, the force exerted on the user by the retractable sleeve remains constant within each activity zone, improving the user's comfort when moving within a certain area. The system will only control the retractable sleeve to retract when the user moves their hand to other activity zones.

[0012] Optional, also includes: Each activity zone has a corresponding limit on the length of the restraint straps; Match the corresponding restriction length according to the current activity range, and control the length that the restraint strap can extend to allow the user's wrist movement according to the restriction length; When the user's wrist moves toward the nasal cannula to transition between ranges of motion, a restraint strap of limited length restricts the user's wrist and matches the corresponding range of contraction amount according to the range of motion after the transition. Adjust the shrinkage sleeve according to the interval shrinkage amount. After the adjustment is completed, rematch the corresponding restraint length according to the activity interval after the jump, and adjust the restraint length according to the new restraint length.

[0013] Optional handling methods for when the user's head position changes actively include: When the approach distance is less than the preset danger distance, the change in nasal cannula positioning is collected per unit time. If the change in the nasal cannula positioning is not zero, adjust the length of the restraint strap according to the change in the nasal cannula positioning and the retraction of the strap. Adjust the length of the restraint strap according to the retraction to pull the user's hand away from the nasal cannula.

[0014] By adopting the above technical solution, the system controls the restraint strap to have a limited length. When the user's hand moves within the activity range, the restraint strap will not restrict the user, improving the user's comfort. Only when the user moves in the direction of the nose and the user's hand moves to the critical position of two adjacent activity ranges will the limited length of the restraint strap be triggered to temporarily restrict the user's hand from continuing to move. During this process, the system can adjust the shrink sleeve.

[0015] Optionally, the handling methods when the user is lying in bed in the first state include: Capture images of the user in a lying position; Identify features of bedding and user wrists from images of a user lying down; When there are bedding features but no user wrist features, the position of the edge of the bedding closest to the nasal cannula is identified from the image of the user lying down, and the edge positioning information is determined. The coverage limit distance is determined based on edge positioning information and fingertip positioning information; When the coverage limit distance is greater than the preset baseline limit distance, the control strap switches to free contraction mode.

[0016] Optional preventative measures for the user in the second state include: The shrink sleeve is controlled to cyclically contract and relax based on a preset contraction cycle and monitored contraction amount. During the contraction process, the contraction sleeve is controlled to collect the user's blood pressure readings; Retrieve the user's delirium blood pressure range from the user's past medical records database; A preventative alert is issued when a user's blood pressure reading falls within the range associated with delirium.

[0017] Optional, also includes: After a preventative alarm is issued, the contraction cycle is replaced with a preset detection cycle, and the contraction sleeve is controlled to cyclically contract and relax according to the detection cycle. Assess disease risk rate based on user blood pressure readings; Match the range of motion of the wrist according to the risk rate of the disease, and match the binding length of the restraint belt according to the range of motion of the wrist; The restraint length controls the retraction of the restraint strap and restricts the user's wrist movement to only the range of motion of the wrist.

[0018] Secondly, this application provides a data processing-based anti-tear tube system, which adopts the following technical solution: A data processing-based anti-tear tube system includes: The data acquisition module is used to acquire images of the user's face, traction force, finger cot positioning information, changes in nasal cannula positioning, and images of the user in a lying position. Memory for storing a program for a data processing-based method to prevent tube unplugging; The processor can load and execute programs in memory and implement a data processing-based method to prevent unplugging.

[0019] In summary, this application includes at least one of the following beneficial technical effects: When a patient experiences an attack, the system, under manual intervention, determines in real time whether the user intends to pull the tube unplanned. If a sudden attempt to pull the tube is detected, the system temporarily restrains the user's wrist with a strap, allowing the system to linearly contract the retractable sleeve installed at the user's elbow joint. After the retractable sleeve completes its contraction, the strap is released from the user. The retractable sleeve continues to adjust the amount of contraction in real time based on the user's movements. At this time, the user's arm is restricted from bending to prevent tube pulling. Even when the retractable sleeve is restricting the user's movement, the user's arm can still move. This is more humane than directly forcibly restricting limb movement. When a patient experiences an attack, if the user does not attempt to remove the tube unplanned, the system will adjust the retractable sleeve in stages. By dividing the space between the user's hand and nose into multiple activity zones, the system ensures that the force exerted on the user by the retractable sleeve remains constant within each activity zone, thereby improving the user's comfort during movement within a certain area. The system will only control the retractable sleeve to retract when the user moves their hand to other activity zones. The system controls the restraint strap to have a limited length. When the user's hand moves within the range of motion, the restraint strap will not restrict the user, improving the user's comfort. Only when the user moves in the direction of the nose and the user's hand moves to the critical position between two adjacent ranges of motion will the restraint strap's limited length be triggered to temporarily restrict the user's hand from moving further. During this process, the system can adjust the shrink sleeve. Attached Figure Description

[0020] Figure 1 This is a flowchart of a data processing-based method for preventing pipe pulling according to an embodiment of the present invention; Figure 2 This is a method flow diagram of the handling method when the tensile force change curve does not show a sudden upward change according to an embodiment of the present invention. Figure 1 ; Figure 3 This is a method flow diagram of the handling method when the tensile force change curve does not show a sudden upward change according to an embodiment of the present invention. Figure 2 . Detailed Implementation

[0021] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0022] This application discloses a data processing-based method for preventing nasal tube removal. By wearing a retractable sleeve at the user's elbow joint, the sleeve inflates to wrap around the arm, and the contraction of the sleeve restricts the maximum degree of elbow flexion, thus preventing the delirious user from directly removing the nasal tube from their nose with their hand.

[0023] Reference Figure 1 A data processing-based method for preventing pipe pulling includes the following steps: Step S1: Collect user facial images and match the user's facial images with preset recognition features to determine the person's status type, which includes a first status and a second status.

[0024] A user facial image refers to an image of the overall shape of the user's face. A one-to-one monitoring camera is installed in the ward, facing the bed. The user's facial image is obtained by capturing images of the user's face through these cameras.

[0025] The identification features are the distinctive reference features of the user's face, used to identify the user's current person status type, which will not be elaborated here.

[0026] The personnel status type refers to two core physical states related to delirium, determined based on collected user facial images and a preset feature matching algorithm. Specifically, it is divided into a first state (symptom onset) and a second state (normal state). Feature matching algorithms are standard techniques in image recognition and will not be elaborated upon here.

[0027] Step S2: In the first state, collect the traction force of the user on the restraint strap preset on the wrist and the positioning information of the positioning finger sleeve installed on the user's finger.

[0028] The restraint strap is a device used to restrain a user's wrists. It consists of a strap and a retractor for winding the strap. There are two retractors, one installed on each side of the hospital bed, corresponding to the user's arms respectively. One end of the strap is detachably slipped over the user's wrist, and the other end is wound into the retractor. The retractor connects to the system and can electrically control the strap to retract or release, and the user can also actively stretch the strap. When the strap is not tightened, the system can control the system to actively tighten it. When the strap is suddenly stretched, the retractor can lock the strap, similar to the structure of a seat belt in a car, which will not be described in detail here.

[0029] The positioning finger sleeve functions as a locator, worn on one of the user's fingers. It contains a positioning chip that connects to the system. The positioning finger sleeve allows the system to determine the user's hand position.

[0030] The traction force refers to the force exerted by the user on the restraint strap. A tension sensor is installed inside the restraint strap's reel box, allowing the system to collect data on the traction force.

[0031] Finger sleeve positioning information refers to the positioning information of the finger sleeve's location, which is also the positioning information of the hand. There are two types of finger sleeve positioning information, corresponding to the positioning information of the user's left and right hands respectively. The system can directly obtain the finger sleeve positioning information through the positioning chip within the finger sleeve.

[0032] A spatial coordinate system is established here, with the nasal cannula at the user's nose position as the origin. The finger cot positioning information is a coordinate position within this spatial coordinate system.

[0033] Step S3: Generate a tension change curve based on the traction force.

[0034] A tension variation curve is a tension curve obtained by fitting real-time changes in traction tension. The tension variation curve can identify how much tension the user applies to the restraint strap.

[0035] Step S400: When the tension change curve shows a sudden upward change, the restraint strap restrains the user's wrist and determines the approach distance based on the finger cot positioning information and the preset nasal cannula positioning information.

[0036] By monitoring the tension change curve in real time, when a sudden upward change occurs in the tension change curve, it indicates that the delirious user may have the urge to raise their hand to pull out the tube when the illness occurs. Since the shrink sleeve takes a certain amount of time to inflate, the restraint strap is first locked by the user's sudden force, and then the user's wrist is restrained by the restraint strap to allow the shrink sleeve to inflate.

[0037] A positioning chip is installed on the nasal cannula. The system uses this location as the position of the nasal cannula and determines its positioning information through the positioning chip. In this embodiment, the position of the nasal cannula at this location is fixed, thus serving as the origin of the spatial coordinate system.

[0038] The proximity distance refers to the distance between the user's hand and the nasal cannula. In practical terms, it represents the remaining distance between the user and the nasal cannula before it can be removed. Once the system obtains the finger cot's positioning information, it uses the nasal cannula's positioning information as the origin of the spatial coordinate system and can calculate the proximity distance between the two points.

[0039] Step S401: Match the real-time contraction amount according to the proximity distance, and control the contraction sleeve preset at the user's elbow joint to contract and bind based on the real-time contraction amount.

[0040] Real-time contraction refers to the amount of contraction that the compression sleeve applies to the elbow joint to limit arm flexion. This real-time contraction is a linearly changing physical quantity. The greater the real-time contraction, the worse the arm's mobility. Real-time contraction is inversely proportional to the proximity distance; the smaller the proximity distance, the greater the real-time contraction.

[0041] After the wrist is restrained by the restraint strap, the system controls the retractable sleeve to retract based on the proximity distance.

[0042] Step S402: After the shrink sleeve completes the shrinking and binding, the binding strap loosens its restraint on the user's wrist, and the shrink sleeve continues to adjust its tightness in real time according to the real-time shrinkage amount.

[0043] After the shrink sleeve has finished shrinking, the restraint straps are loosened to allow the user's arm to move freely. The shrink sleeve will continue to shrink and adjust until the user returns to normal. During this process, if the user's arm approaches the nasal cannula, the shrink sleeve will retract to restrict movement, preventing the user from bringing their hand near the nasal cannula.

[0044] The restraint strap here only provides a limiting effect when the tension change curve shows a sudden upward change; otherwise, it can stretch and contract freely without restricting the user.

[0045] The method for matching real-time contraction based on proximity includes the following steps: Step S40100: Retrieve user registration information from a preset medical database based on the user's facial image.

[0046] The medical database is a database within the hospital system that records information about all medical users; it will not be elaborated upon here.

[0047] User registration information refers to the basic personal information registered by a user when seeking medical treatment, including height and weight. By performing facial recognition on the user's facial image, the user registration information can be matched against the medical database.

[0048] Step S40101: Retrieve user height information from user registration information.

[0049] The user registration information includes the user's height information, so the user's height information can be directly retrieved from the user registration information.

[0050] Step S40102: Match the reference distance between the hand and nose and the reference elbow thickness based on the user's height information.

[0051] The hand-nose reference distance refers to the distance between the hand and nose of a person of average build with the same height. An average build is defined as someone who is neither too thin nor too heavy. The hand-nose reference distance can be retrieved from a preset body reference table based on the user's height information. This body reference table is a generally accepted comparison table of height and various human body dimensions, and will not be elaborated upon here.

[0052] The baseline elbow circumference refers to the standard diameter of the elbow joint of a person of average build and height. The baseline elbow circumference can be retrieved from a preset body measurement table based on the user's height information.

[0053] Step S40103: Match the reference contraction amount based on the reference elbow thickness.

[0054] The reference shrinkage amount refers to the amount of shrinkage required when the elastic band is fully restrained at a reference elbow circumference. The reference shrinkage amount is directly proportional to the reference elbow circumference; the thicker the reference elbow, the greater the reference shrinkage amount.

[0055] Step S40104: Calculate the proximity ratio between the proximity distance and the hand-nose reference distance.

[0056] The proximity ratio refers to the ratio of the real-time proximity distance between the user's finger and the nasal cannula to the hand-nose reference distance matched based on the user's height. It is a core parameter for quantifying the risk of a user's hand approaching the nasal cannula. The proximity ratio is the quotient of the proximity distance and the hand-nose reference distance.

[0057] Step S40105: Match the real-time shrinkage amount with the proximity ratio and the baseline shrinkage amount, and output the real-time shrinkage amount.

[0058] The real-time contraction amount is the product of the approximate proportional contraction amount and the baseline contraction amount. The closer the user's hand is to the nasal cannula, the closer the real-time contraction amount of the contraction sleeve is to the baseline contraction amount. The user experiences the greatest restraint force from the contraction sleeve around the nose, making it less likely for the elbow to bend completely, thus making it less likely for the user to pull out the nasal cannula in the event of an attack.

[0059] The method of matching real-time contraction based on proximity distance also includes the following steps: Step S40110: Retrieve user weight information from user registration information.

[0060] User registration information includes user weight information, so user weight information can be directly retrieved from user registration information.

[0061] Step S40111: Determine the Body Mass Index based on the user's height and weight information.

[0062] Body Mass Index (BMI) is an internationally recognized standard for measuring body fatness, categorizing individuals as underweight, average, and overweight. BMI is calculated using a user's height and weight information. It is the quotient of the square of the user's weight information.

[0063] By retrieving a user's height and weight information from their registration information, it is possible to calculate the user's Body Mass Index (BMI).

[0064] Step S40112: Determine the index deviation rate based on the body mass index and the preset benchmark index.

[0065] The benchmark index refers to the standard range of body mass index for people who are of moderate weight.

[0066] The index deviation rate is a relative quantitative indicator that measures the degree of deviation between a user's actual body mass index and a benchmark index. It reflects the magnitude of the difference between a user's body shape and the standard body shape. The index deviation rate is the quotient of the body mass index and the benchmark index.

[0067] Step S40113: Determine the shrinkage correction amount based on the index deviation rate and the baseline shrinkage amount.

[0068] For people of the same height, being underweight or overweight will affect the size of their arms. Therefore, it is necessary to determine the user's body mass index and then adjust the baseline shrinkage amount accordingly. This is to avoid the shrink sleeve failing to fully restrain the arms of people with a slender build.

[0069] The shrinkage correction amount is calculated based on the user's exponential deviation rate and is an adjustment value used to correct the initial baseline shrinkage amount. The shrinkage correction amount is the product of the exponential deviation rate and the baseline shrinkage amount. By adapting the shrinkage sleeve to the individual body shape differences of the user, personalized restraint is achieved.

[0070] Step S40114: Based on the shrinkage correction amount, increase or decrease the reference shrinkage amount and output the corrected reference shrinkage amount.

[0071] For users with a slender build, whose arms are thinner, the baseline shrinkage amount is increased by adjusting the shrinkage amount, resulting in a greater degree of shrinkage than before.

[0072] For users who are overweight, due to their thicker arms, the standard shrinkage amount is reduced and corrected by shrinkage correction amount, so that the shrinkage of the shrink sleeve is smaller than before.

[0073] Reference Figure 2 When the tensile force change curve does not show a sudden upward change, the handling method includes the following steps: Step S4100: Retrieve user registration information from a preset medical database based on the user's facial image.

[0074] The same as step S40100, so it will not be repeated here.

[0075] Step S4101: Retrieve user height information from user registration information.

[0076] The same as step S40101, so it will not be repeated here.

[0077] Step S4102: Match the hand-nose reference distance based on the user's height information.

[0078] The same as step S40102, so it will not be repeated here.

[0079] Step S4103: Divide the hand-nose baseline distance into multiple activity intervals using a preset division method. Each activity interval is matched with the corresponding interval contraction amount based on the minimum distance from the nose.

[0080] The absence of a sudden upward surge in the tension change curve indicates that although the user is ill, they do not yet have the urge to suddenly raise their hand to remove the nasal intubation. However, it is still necessary to prevent the user from slowly raising their hand to remove the nasal intubation. In this case, the contraction sleeve in this embodiment adopts a step-like contraction method, while a linear contraction method is used when the tension change curve shows a sudden upward surge.

[0081] In this embodiment, the hand-nose reference distance is divided into multiple activity intervals. Each activity interval corresponds to a clearly defined distance range, with the nasal cannula position as the reference point. The activity intervals are divided using a fixed method. This method is a distance segmentation rule pre-set based on clinical data and user activity safety thresholds, primarily based on risk gradients. The hand-nose reference distance is divided into three activity intervals according to three risk levels: far, medium, and near, including a high-risk zone, a warning zone, and a safe zone. The high-risk zone is close to the nasal cannula, with the highest risk of cannula removal; the warning zone is also close to the nasal cannula, with a potential risk of cannula removal; and the safe zone is far from the nasal cannula, with the lowest risk of cannula removal.

[0082] The interval contraction amount refers to the contraction amount of the shrinkage sleeve within each active interval. In this embodiment, the contraction amount of the shrinkage sleeve remains constant within the same active interval, and the magnitude of the interval contraction amount is obtained by matching the minimum distance from the nose, that is, the interval contraction amount is determined by the minimum distance from the nose within that active interval.

[0083] Step S4104: Determine the approach distance based on the finger cot positioning information and the preset nasal cannula positioning information.

[0084] The method for determining the proximity distance is the same as in step S400, and will not be repeated here.

[0085] Step S4105: Match the corresponding activity interval based on the proximity distance, and retrieve the corresponding interval contraction amount.

[0086] Based on the division of the active range in step S4103 and the method for determining the range shrinkage amount, if there is no sudden upward change in the tension change curve, the active range where the user's hand is located is first determined according to the position of the user's hand, and the range shrinkage amount of the shrink sleeve is determined accordingly.

[0087] Step S4106: Adjust the tightness of the shrink sleeve according to the shrinkage amount of the interval.

[0088] The compression sleeve is adjusted according to the contraction amount within each activity zone. The contraction amount remains constant within each zone, only changing when the user moves their hand to another zone. In the high-risk zone, the contraction amount is maximum, completely binding the user's arm and preventing bending. In the warning zone, the contraction amount is moderate, allowing free arm movement but with some feeling of restriction. In the safe zone, the user's arm can move freely with minimal feeling of restriction.

[0089] By classifying risks and restricting devices as needed, the system avoids discomfort caused by excessive restriction and can accurately control the risk of extubation at different distances.

[0090] Reference Figure 3 The handling method when the tensile force change curve does not show a sudden upward change also includes the following steps: In this embodiment, when the user's hand transitions from a low-risk activity zone to a high-risk activity zone, the contraction amount of the shrink sleeve needs to increase abruptly. Therefore, during the transition, the user's wrist needs to be restricted first, and the shrink sleeve needs to reach the specified contraction amount.

[0091] Step S4110: Set the corresponding restraint length for each activity zone.

[0092] The limit length is the maximum pull-out length set by the technician for the restraint strap. Once the user's wrist pulls the strap beyond this limit length, it locks and cannot be pulled out further. Each activity zone corresponds to a limit length, the value of which is related to the distance within the activity zone. For example, the limit length for the warning zone is determined by the minimum distance from the nose within that zone. The specific method for determining the limit length is as follows: The positions of the two ends of the strap need to be determined. One end of the strap is the retractor, whose position is fixed and determined by position parameters. The other end of the strap is located on the user's wrist. Within the same activity zone, the minimum distance from the nose is a circular outline. The distance between any point within this circular outline and the retractor position is different; here, the minimum distance is used as the limit length.

[0093] Step S4111: Match the corresponding restriction length according to the current activity range, and control the length that the restraint strap can extend to allow the user's wrist movement according to the restriction length.

[0094] By acquiring the positioning information of the finger cot and determining the proximity distance, the system identifies the user's hand's activity range. When the user's hand moves within this range, the system pre-sets the restriction length of the restraint strap. This restriction length does not affect the user's hand movement within the current activity range.

[0095] Step S4112: When the user's wrist moves toward the nasal cannula to transition between activity ranges, a restraint strap of limited length restricts the user's wrist and matches the corresponding range contraction amount according to the activity range after the transition.

[0096] As the user slowly moves their wrist towards the nasal cannula and reaches the critical point between the two ranges of motion, the restraint strap is stretched to its limit. At this point, the user's wrist is restrained and cannot move further. The user must wait for the contraction amount of the retractable sleeve to adjust to the appropriate range. The contraction amount of the retractable sleeve needs to be increased to match the range of motion after the transition, in order to further restrict the user's arm.

[0097] Step S4113: Adjust the shrinkage sleeve according to the interval shrinkage amount. After the adjustment is completed, rematch the corresponding restraint length according to the active interval after the jump, and adjust the restraint length according to the new restraint length.

[0098] After the shrinkage range of the shrink sleeve is adjusted, the restriction length of the restraint strap will be rematched according to the activity range after the jump, so that the user can move freely in the new activity range.

[0099] If the user moves their wrist away from the nasal cannula and shifts their range of motion, the restraint strap will not restrict the user. The restraint strap will automatically contract as the user's wrist moves, and the contraction range of the shrinkage sleeve will also automatically decrease, without affecting the user. However, if the user moves back towards the nasal cannula, the shrinkage sleeve and restraint strap need to be adjusted according to steps S4110 to S4113.

[0100] In this embodiment, the handling method when the tension change curve shows an abrupt upward change and the handling method when no abrupt upward change occurs can be freely switched according to the actual situation. That is, if the tension change curve shows an abrupt upward change during the step adjustment process of the shrink sleeve, the shrink sleeve can immediately switch to the linear adjustment mode, and the restraint strap is set in the same way.

[0101] The handling method when a user actively changes their head position includes the following steps: In this embodiment, when a delirious patient experiences an attack, their elbow joint is restricted and they cannot move freely. They may actively move their head to get closer to their hands. In this case, there is a risk of removing the nasal tube. Therefore, this situation of the patient actively changing their head position is addressed.

[0102] Step S420: When the approach distance is less than the preset danger distance, collect the change in nasal cannula positioning per unit time.

[0103] The danger distance is a distance parameter set by technicians based on clinical data and user activity safety thresholds. When the user's hands are restrained and the approach distance is not less than the danger distance, it is not easy for the user to remove the nasal tube even if they move their head, and the risk of tube removal is low. However, when the approach distance is less than the danger distance, the user's head movement can directly cause the nasal tube to come into contact with their hand, and the risk of tube removal is high.

[0104] Therefore, by first determining the proximity distance, if it is not less than the danger distance, there is no need to consider changes in the user's head position. Only when the proximity distance is less than the danger distance should changes in the user's head position be considered, at which point the change in nasal cannula positioning is collected. The change in nasal cannula positioning refers to the change in the position of the nasal cannula. The nasal cannula moves synchronously with the user's head. Positioning information is continuously collected by the positioning chip on the nasal cannula within a unit of time. By analyzing multiple collected positioning information, the change in nasal cannula positioning can be determined.

[0105] Step S421: If the change in nasal cannula positioning is not zero, adjust the length of the restraint strap according to the change in nasal cannula positioning.

[0106] The change in nasal cannula positioning is 0, indicating that the user's head has not moved. Continue to monitor the change in nasal cannula positioning.

[0107] When the change in nasal cannula positioning is not zero, it indicates that the user's head has begun to move, and the nasal cannula's position has changed. The retraction adjustment length refers to the distance the restraint strap actively pulls the user's wrist back. The retraction adjustment length is consistent with the change in nasal cannula positioning.

[0108] Step S422: Adjust the length of the restraint strap according to the retraction to pull the user's hand away from the nasal cannula.

[0109] When the user moves their head, the system will adjust the length of the restraint strap according to the retraction and pull on the user's wrist, so that when the nasal cannula is close to the hand, the hand can move away from the nasal cannula accordingly.

[0110] Furthermore, if the user's head moves away from the user's hands, the system does not need to control the restraint straps.

[0111] The procedure for handling a user lying down in bed in the first state includes the following steps: Step S430: Acquire an image of the user in a lying position.

[0112] User lying-down images refer to images of a user lying on a hospital bed. These images are captured by a one-to-one camera, showing both the user and the bed.

[0113] Step S431: Identify the features of the bedding and the user's wrists from the image of the user lying down.

[0114] The characteristics of bedding refer to the bedding on the hospital bed.

[0115] When the image of a user lying down contains features of bedding and the user's wrist, image feature recognition can be performed on the image of the user lying down based on the features of bedding and the user's wrist, respectively.

[0116] Step S432: When there are bedding features but no user wrist features, identify the position of the edge of the bedding closest to the nasal cannula from the image of the user lying down, and determine the edge positioning information.

[0117] In this embodiment, whether the user is lying in bed and whether their arms are covered by the bedding affects their movement during an attack. The bedding acts as a barrier, preventing the user from reaching for the nasal cannula, allowing the system to adjust the retraction sleeve. Therefore, it is necessary to identify and detect the characteristics of the bedding and the user's wrist.

[0118] If the bedding features are not present, the user will be restrained with a restraint strap during an attack. If the user's wrist features can be identified, it means that the user's wrist is outside the bedding during an attack, and the bedding cannot obstruct the user's arm. In this case, the user will also be restrained with a restraint strap during an attack.

[0119] Only when there are bedding features but no user wrist features does it indicate that the user's arm is under the bedding. If the user develops a disease in this case, they will need to overcome the obstruction of the bedding to remove their hand. The time spent in this process can be used for the system to adjust the contraction sleeve. At this point, it is necessary to determine whether a restraint belt is needed to intervene, depending on the situation.

[0120] Furthermore, the depth to which a user's hand penetrates the bedding also affects their movement during an attack. When the hand is inserted only a small distance, it is easy to pull it out, requiring intervention with a restraint strap. However, when the hand is inserted a large distance, it is difficult to pull it out, and in this case, intervention with a restraint strap is not necessary.

[0121] The edge position refers to the edge of the bedding, which is used as a parameter to measure the depth to which the user's hand is inserted into the bedding. Here, the edge position is the location on the bedding closest to the nasal cannula. By identifying and analyzing the features of the bedding and the nasal cannula in an image of the user lying down, the edge position can be determined, and edge localization information can be obtained. Edge localization information refers to the positional relationship between the edge of the bedding and the position of the nasal cannula.

[0122] Step S433: Determine the coverage limit distance based on edge positioning information and finger sleeve positioning information.

[0123] The coverage limitation distance refers to the spatial distance between the edge of the bedding and the location of the finger cot, which is the distance the user needs to move when extending their hand out of the bedding. Both the edge positioning information and the finger cot positioning information are based on the nasal cannula position as the origin of the coordinate system. Therefore, the coverage limitation distance can be calculated in the spatial coordinate system by combining the finger cot positioning information and the edge positioning information.

[0124] Step S434: When the coverage limit distance is greater than the preset baseline limit distance, control the restraint strap to switch to free contraction mode.

[0125] The baseline limiting distance is a critical distance threshold used to determine whether the user's hands are at risk of breaking free from the blankets and touching the nasal intubation tube in the scenario where the user is lying in bed in the first state. It is a distance parameter set by the technicians and will not be elaborated here.

[0126] If the coverage limit distance is not greater than the baseline limit distance, it means that the user's reach into the bedding is too small, and a restraint strap is needed for intervention.

[0127] When the coverage limit distance is greater than the baseline limit distance, it means that the user has extended too far into the bedding. At this time, the system will switch the restraint strap to the free retraction mode. In the free retraction mode, the system does not control the restraint strap, and the straps of the restraint strap can extend and retract freely without hindering the user's hand movements.

[0128] Prevention methods for users in their second state include the following steps: Step S21: Control the contraction sleeve to perform cyclic contraction and relaxation by using a preset contraction cycle and monitoring the contraction amount.

[0129] In this embodiment, although the user is in the second state, there is still a risk of illness, which needs to be prevented. Since the contraction sleeve can contract and relax by inflation under system control, it can be combined with a blood pressure monitor to take on the functions of a blood pressure monitor.

[0130] The contraction cycle is the time it takes for the contraction sleeve to complete one cycle of contraction and relaxation when the system performs daily monitoring through the contraction sleeve in the user's second state. The contraction cycle is a parameter set by the technician and will not interfere with the user's daily activities.

[0131] The monitored contraction amount is the maximum contraction amount of the contraction sleeve during daily monitoring by the user. The monitored contraction amount is automatically adjusted according to the user's own situation and is consistent with the contraction amount required when the blood pressure monitor measures blood pressure.

[0132] Step S22: During the contraction process, control the contraction sleeve to collect the user's blood pressure measurement value.

[0133] The user's blood pressure reading is the user's blood pressure status. The retractable device collects the user's blood pressure once during each contraction cycle to obtain the user's blood pressure reading.

[0134] Step S23: Retrieve the user's delirium blood pressure range from the user's past medical records database.

[0135] Users experiencing delirium may have either high or low blood pressure at the onset of the illness, depending primarily on the triggering factors. The blood pressure range for delirium refers to the user's blood pressure at the time of the onset of delirium.

[0136] The past medical records database records all the detailed medical records of each user's past illnesses. These records are stored in the hospital's medical system and can be retrieved and viewed by the hospital system.

[0137] Based on the user's identity information, the system can retrieve the user's blood pressure range during delirium episodes from the past medical records database, thereby determining whether the user had high or low blood pressure at the time of the episode.

[0138] Step S24: When the user's blood pressure reading falls within the range of the user's delirium blood pressure, a preventative alarm is issued.

[0139] When the system monitors a user's blood pressure daily using a compression sleeve, if the system detects that the user's blood pressure falls into the range of delirium blood pressure, the user may be at risk of developing delirium. In this case, the system will issue a preventive alert to the attending physician and nursing staff.

[0140] Prevention methods for users in the second state also include the following steps: Step S25: After issuing a prevention alarm, replace the contraction cycle with a preset detection cycle, and control the contraction sleeve to cyclically contract and relax according to the detection cycle.

[0141] The detection cycle is the cycle in which the shrink sleeve is reset after the system detects that a user has a risk of developing the disease. The detection cycle is much shorter than the shrinkage cycle.

[0142] After the system issues a preventative alert, it continuously monitors the user's blood pressure in real time according to a detection cycle to prevent the onset of symptoms. Secondly, the cyclical contraction of the compression sleeve provides a temporary stimulating massage effect on the user.

[0143] Step S26: Assess the risk of disease based on the user's blood pressure measurement value.

[0144] The morbidity rate is a probabilistic indicator used to quantify the likelihood of a user experiencing delirium symptoms, based on their blood pressure readings. The morbidity rate is directly proportional to the user's blood pressure reading; the higher the blood pressure reading, the greater the morbidity rate.

[0145] Step S27: Match the range of motion of the wrist according to the risk rate of the disease, and match the binding length of the restraint belt according to the range of motion of the wrist.

[0146] Wrist range of motion refers to the range of wrist movement a user can make when the system detects a potential risk of illness. Wrist range of motion is inversely proportional to the risk rate; the higher the risk rate, the smaller the wrist range of motion, and the greater the distance the user's wrist is allowed to approach the nasal cannula.

[0147] The restraint length refers to the length that the restraint strap needs to retract when the system restrains the user's wrist within the range of wrist movement. The restraint length of the strap is related to the range of wrist movement and is determined by the minimum distance from the nasal cannula within that range of movement.

[0148] Step S28: Control the retraction of the restraint strap with the restraint length and restrict the user's wrist to move only within the range of wrist movement.

[0149] When the system detects a risk of delirium in a user, it pre-constricts the user's wrist within its range of motion, based on the level of risk, to prevent a sudden onset of the illness. The user's wrist remains free to move within this range, and the restraints do not restrict movement.

[0150] Based on the same inventive concept, embodiments of the present invention provide a data processing-based anti-pulling system.

[0151] A data processing-based anti-tear tube system includes: The data acquisition module is used to acquire images of the user's face, traction force, finger cot positioning information, changes in nasal cannula positioning, and images of the user in a lying position. Memory for storing a program for a data processing-based method to prevent tube unplugging; The processor can load and execute programs in memory and implement a data processing-based method to prevent unplugging.

[0152] The above description is merely a preferred embodiment of the present invention. The scope of protection of the present invention is not limited to the above embodiments. All technical solutions falling within the scope of the present invention's concept are within the scope of protection of the present invention. It should be noted that for those skilled in the art, any improvements and modifications made without departing from the principles of the present invention should also be considered within the scope of protection of the present invention.

Claims

1. A data processing-based method for preventing pipe pulling, characterized in that, include: Collect user facial images and match the user's status type with preset recognition features. The user status type includes a first status and a second status. In the first state, the traction force of the user on the restraint strap preset on the wrist and the positioning information of the positioning finger sleeve installed on the user's fingers are collected. Generate a tension variation curve based on the traction force; When the tension change curve shows a sudden upward change, the restraint strap restrains the user's wrist and determines the approach distance based on the finger cot positioning information and the preset nasal cannula positioning information. The real-time contraction amount is matched according to the proximity distance, and the contraction sleeve preset at the user's elbow joint is controlled to contract and restrain based on the real-time contraction amount; After the shrink sleeve completes its shrinking and binding action, the restraint straps loosen their binding on the user's wrists, and the shrink sleeve continues to adjust its tightness in real time according to the amount of shrinkage.

2. The data processing-based method for preventing pipe pulling according to claim 1, characterized in that, Methods for matching real-time contraction based on proximity include: User registration information is retrieved from a pre-set medical database based on the user's facial image; Retrieve user height information from user registration information; Based on the user's height information, a reference distance between the hand and nose and a reference elbow thickness are matched; Based on the reference elbow circumference, a reference contraction amount is matched; Calculate the proximity ratio between the proximity distance and the hand-nose reference distance; The real-time shrinkage amount is matched based on the proximity ratio and the baseline shrinkage amount, and the real-time shrinkage amount is output.

3. The data processing-based method for preventing pipe pulling according to claim 2, characterized in that, Also includes: Retrieve user weight information from user registration information; Body mass index is determined based on user height and weight information; The index deviation rate is determined based on the body mass index and a preset benchmark index; The shrinkage correction amount is determined based on the index deviation rate and the baseline shrinkage amount; The baseline shrinkage is increased or decreased based on the shrinkage correction amount, and the corrected baseline shrinkage is output.

4. The anti-tear tube method based on data processing according to claim 1, characterized in that, When the tensile force change curve does not show a sudden upward change, the handling methods include: User registration information is retrieved from a pre-set medical database based on the user's facial image; Retrieve user height information from user registration information; Matches hand-nose reference distance based on user height information; The hand-nose baseline distance is divided into multiple activity zones using a preset division method. Each activity zone is matched with the corresponding zone contraction amount based on the minimum distance from the nose. The approach distance is determined based on the positioning information of the finger cot and the preset positioning information of the nasal cannula; Match the corresponding activity range based on proximity and retrieve the corresponding range contraction amount; Adjust the tightness of the shrink sleeve according to the amount of shrinkage in the interval.

5. The data processing-based method for preventing pipe pulling according to claim 4, characterized in that, Also includes: Each activity zone has a corresponding limit on the length of the restraint straps; Match the corresponding restriction length according to the current activity range, and control the length that the restraint strap can extend to allow the user's wrist movement according to the restriction length; When the user's wrist moves toward the nasal cannula to transition between ranges of motion, a restraint strap of limited length restricts the user's wrist and matches the corresponding range of contraction amount according to the range of motion after the transition. Adjust the shrinkage sleeve according to the interval shrinkage amount. After the adjustment is completed, rematch the corresponding restraint length according to the activity interval after the jump, and adjust the restraint length according to the new restraint length.

6. The anti-tear tube method based on data processing according to claim 1, characterized in that, The handling methods for when a user actively changes their head position include: When the approach distance is less than the preset danger distance, the change in nasal cannula positioning is collected per unit time. If the change in the nasal cannula positioning is not zero, adjust the length of the restraint strap according to the change in the nasal cannula positioning and the retraction of the strap. Adjust the length of the restraint strap according to the retraction to pull the user's hand away from the nasal cannula.

7. The anti-tear tube method based on data processing according to claim 1, characterized in that, The procedures for handling a user lying down in bed in the first state include: Capture images of the user in a lying position; Identify features of bedding and user wrists from images of a user lying down; When there are bedding features but no user wrist features, the position of the edge of the bedding closest to the nasal cannula is identified from the image of the user lying down, and the edge positioning information is determined. The coverage limit distance is determined based on edge positioning information and fingertip positioning information; When the coverage limit distance is greater than the preset baseline limit distance, the control strap switches to free contraction mode.

8. The method for preventing pipe pulling based on data processing according to claim 1, characterized in that, Prevention methods for users in their second state include: The shrink sleeve is controlled to cyclically contract and relax based on a preset contraction cycle and monitored contraction amount. During the contraction process, the contraction sleeve is controlled to collect the user's blood pressure readings; Retrieve the user's delirium blood pressure range from the user's past medical records database; A preventative alert is issued when a user's blood pressure reading falls within the range associated with delirium.

9. The method for preventing pipe pulling based on data processing according to claim 8, characterized in that, Also includes: After a preventative alarm is issued, the contraction cycle is replaced with a preset detection cycle, and the contraction sleeve is controlled to cyclically contract and relax according to the detection cycle. Assess disease risk rate based on user blood pressure readings; Match the range of motion of the wrist according to the risk rate of the disease, and match the binding length of the restraint belt according to the range of motion of the wrist; The restraint length controls the retraction of the restraint strap and restricts the user's wrist movement to only the range of motion of the wrist.

10. A data processing-based anti-tear tube system, characterized in that, include: The data acquisition module is used to acquire images of the user's face, traction force, finger cot positioning information, changes in nasal cannula positioning, and images of the user in a lying position. A memory for storing a program for a data processing-based anti-tampering method as described in any one of claims 1 to 9; The processor can load and execute programs in memory and implement a data processing-based method to prevent unplugging.