87 results about "Hand movements" patented technology

The invention relates to the technical field of medical hygiene, and particularly discloses a hygiene visual intelligent monitoring and guiding system suitable for surgical hand disinfection, hand motion data is collected by fusing a multi-modal motion capture module with a depth camera and an inertial sensor, and a high-risk area identification module analyzes the risk of microbial residues in finger seams and fingernail edges. The three-dimensional motion modeling module constructs a biomechanical model to calculate a trajectory, the dynamic compliance guiding module marks deviation in real time through optical projection, the multi-source data fusion module integrates a risk value and a spectral data evaluation effect, and the intelligent decision engine module outputs an operation matching degree and a correction instruction based on a neural network. Omnibearing monitoring, accurate risk assessment, real-time action guidance and quantitative effect evaluation of the hand disinfection process of an operator are realized, the standardization and effectiveness of surgical hand disinfection operation are finally improved, and the infection risk of a surgical site is reduced.

The invention belongs to the technical field related to medical robots, and discloses a rigid-flexible coupling pneumatic humanoid dexterous finger and a dexterous hand. The dexterous finger comprises a sectional corrugated pipe actuator, a rigid cover plate, a rigid bottom plate, a flexible finger pulp patch and a one-way stretchable fabric; a cooperative structure of rigid supporting, flexible driving and contact adaptation is formed through a preset assembly relation; by designing the wave number of the corrugated pipe at each joint of the pneumatic dexterous finger, the bending proportion of each joint is ensured to accord with the human hand movement rule; the one-way stretchable fabric can restrain ineffective upheaval at the joints, and the energy conversion efficiency is improved. The dexterous hand can integrate five anthropomorphic-size dexterous fingers, and the palm notch angle, the thumb turning direction angle and the flexible palm patch are all engraved with the physiological characteristics and structure of the hand of the human body. According to the pneumatic dexterous hand, personification of the pneumatic dexterous hand in appearance and movement modes is achieved, flexibility and bearing stability are both considered, and the pneumatic dexterous hand can meet the requirements of multiple scenes such as medical care and industrial assembly.

The invention provides a three-dimensional hand reconstruction method and device based on multi-view feature interaction, and the method comprises the following steps: obtaining hand images corresponding to the same hand under at least three views, inputting each preprocessed hand image into a pre-trained hand feature reconstruction network, and obtaining a vertex offset matrix, and performing reconstruction based on the vertex offset matrix and a preset standard hand grid to obtain a three-dimensional hand reconstruction result. According to the scheme, in the feature fusion stage, geometric features and key information are extracted at the same time through the dynamic feature fusion module and the multi-view feature fusion module, and in the decoding stage, the interaction relation between joints and vertexes and the physical characteristics of hand movement are deeply excavated, so that accurate three-dimensional reconstruction is completed.

The invention relates to the technical field of rehabilitation medical treatment, in particular to a hand rehabilitation training system based on virtual reality and gesture interaction, and the system comprises a gesture sensing module which collects a hand movement track, a muscle electric signal, grip pressure and a joint movement angle; the VR rehabilitation scene construction module constructs a rehabilitation training virtual scene, simulates a hand interaction behavior and a force feedback effect through an adaptive physical engine and a neural action mapping algorithm, and outputs simulation data; the intelligent evaluation center evaluates the action standard degree and the muscle activation efficiency based on an improved CNN-GRU model, identifies an action compensation mode and abnormal force generation, and outputs an evaluation report; the interactive training unit renders a motion state and a training process in real time, and generates personalized training guidance in combination with voice, visual and tactile prompts; and the personalized regulation and control unit predicts a rehabilitation trend and a stage target through a reinforcement learning algorithm, and dynamically adjusts training parameters and scene difficulty. Therefore, the problems of low interaction precision, incapability of sharing and the like in the prior art are solved.

The invention discloses a non-active finger exoskeleton and a non-active hand exoskeleton. The finger exoskeleton comprises a fixed seat, an upper pull rod, a lower pull rod and knuckles. And the far end of the upper pull rod is connected with the middle ends of the knuckles and the near end of the central pull rod. The near end of the lower pull rod is connected with the fixed seat, and the far end is connected with the knuckle near end. A unique ergonomic design is adopted, a user is allowed to control the exoskeleton through simple hand actions without depending on external power, complex holding and operation tasks are completed, and the life self-care ability of a person with finger amputation or insufficiency is remarkably improved.

The utility model discloses a hand rehabilitation training exoskeleton, and relates to the technical field of exoskeletons. According to the hand rehabilitation training exoskeleton, the ends of the palm shells are connected with the joints in a supporting mode through supporting sleeves, and the supporting sleeves are connected with an air conveying device in a communicating mode. The carpal joint is connected with the palm shell through a supporting sleeve, the other end of the carpal joint is connected with the metacarpal joint or the finger joint through the supporting sleeve, and the other end of the metacarpal joint is connected with the finger joint through the supporting sleeve. The problems that in the prior art, the size is large, flexibility is poor, operation is complex and the like are solved, and the requirements for precise assistance and natural training are difficult to meet. According to the hand rehabilitation training exoskeleton, the exoskeleton and the pneumatic technology design are combined, the lightweight design and the intelligent control technology are combined, the hand rehabilitation training exoskeleton aims at assisting a hand dysfunction patient in scientific rehabilitation training, and the hand rehabilitation training exoskeleton is suitable for stroke, brain injury, joint diseases or postoperative hand function recovery. Natural assistance and scientific rehabilitation of hand movement are achieved, and an efficient and safe hand function recovery means is provided for a patient.

This invention discloses a finger joint angle detection mechanism and a method for constructing a 3D model of an object; belonging to the field of exoskeletons for human finger joints, it consists of a fabric substrate, a data storage module, a displacement sensor, and a transmission mechanism, including five sets of three-segment skeletons. The thumb skeleton includes a fingertip joint rod, a root joint rod, a back-of-hand rod, and a wrist rod; the other finger skeletons include a fingertip joint rod, a middle joint rod, a root joint rod, and a back-of-hand rod. Each pair of skeleton segments is connected by a transmission mechanism and a cylindrical pin. The glove does not affect the natural movement of the human hand, and when collecting finger joint data through grasping or other methods, it ensures flexible hand movement, and the range of joint bending angles is unrestricted. When the human hand wears the glove to grasp an object, the bending angles of each finger joint are collected and converted into bending angle images. A convolutional neural network is used to fuse the bending angle images with multi-angle captured object images to achieve accurate 3D reconstruction of the object.

This invention relates to the field of medical and nursing device technology, and in particular to a restraint-type distance-sensing anti-extubation alarm glove and its method of use. The glove includes a restraint glove with a fixing strap on one side of its surface. A magnet is fixedly connected to the top of the fixing strap, and a magnet is disposed within the inner cavity of the magnet. This invention combines physical restraint with intelligent early warning, catheter positioning, and catheter angle adjustment. Through a specially designed enclosed space on the right side of the restraint glove's inner cavity, the range of motion of the patient's ring and little fingers is physically restricted, effectively preventing the patient from pulling the tube by clenching their fist. Simultaneously, a distance monitoring system is constructed using positioning chips one, two, and three. When hand movements pose a risk, multiple alerts are provided through different colored lights, alarm sounds, and vibrations, offering comprehensive warnings to the patient and medical staff from auditory, visual, and tactile dimensions, allowing for timely measures to prevent extubation.

A head-wearable apparatus improves user interactions with virtual interface elements in augmented reality (AR) environments. The apparatus tracks hand movements in 3D space, calculating velocity vectors and positions of fingers. For each virtual interface element, it determines a UI-to-finger vector and calculates alignment with the finger's velocity vector. Interaction zones are dynamically adjusted based on this alignment and velocity magnitude. The system evaluates consistency between finger movement and element locations to predict intended targets. Interactions are triggered when fingers enter adjusted zones of predicted targets. This approach reduces erroneous selections and improves interaction accuracy, even for closely-spaced elements. The invention applies to various AR scenarios, enhancing user experiences in applications like gaming and education.

A method and system for continuous aerial handwriting stroke recognition in extended reality includes: sampling over time to acquire the three-dimensional position sequence of key finger points during user writing and the 6-DOF pose information of an XR computing device at the sampling time; constructing and training a lightweight neural network model, the model flow of which is as follows: preprocessing the input data and constructing kinematic features, then passing the kinematic features through a deep separable temporal convolutional network to output the writing probability and boundary probability at each sampling time, with the boundary probability used for auxiliary supervision during training; passing the sampled data through the trained lightweight neural network model to infer and output the writing probability at the sampling time, and extracting connected segments according to a threshold to recover the stroke segment set, thereby achieving visual interaction with the user. This invention relates to the field of information technology and can automatically identify the position of writing strokes and their boundaries from continuous hand movements without relying on virtual plane constraints or excessive reliance on explicit switching actions.

The invention provides a controllable variable-stiffness hybrid-driven self-adaptive dexterous hand and a driving method thereof, the controllable variable-stiffness hybrid-driven self-adaptive dexterous hand comprises a bionic connecting assembly, a variable-stiffness finger assembly and a thumb assembly, and the variable-stiffness finger assembly comprises an assembly frame, a variable-stiffness assembly, a first driving mechanism, a near knuckle assembly, a middle knuckle assembly and a first fingertip assembly; the thumb assembly comprises a mounting base, a rotary driving mechanism, a second driving mechanism, a thumb knuckle assembly and a second fingertip assembly. The contradiction between fine operation and flexibility of a traditional dexterous hand is broken through, and the grabbing adaptability and operation reliability of the dexterous hand are remarkably improved. According to the variable-rigidity finger assembly, the rigidity of each finger of the variable-rigidity finger assembly is adjusted in real time according to the characteristics of a grabbed object through the magneto-rheological regulation and control technology, and the problem that the dexterous hand lacks rigidity controllability is solved. The thumb assembly can be independently bent, regulated and rotationally adjusted, the hand movement freedom degree and operation flexibility are further expanded, and the requirements of multiple fields for multiple functions and high adaptability of the dexterous hand are met.

The invention discloses an intelligent control auxiliary finger device for fine finger exercise training, and relates to the technical field of hand exercise training, the intelligent control auxiliary finger device comprises a base and a wrist frame fixedly arranged on the base, and an auxiliary assembly for multi-mode cooperative composite training is arranged in the wrist frame; a supporting frame used for supporting the wrist of a user is arranged at the movable end of the auxiliary assembly, a frame plate is arranged on the supporting frame, a training assembly is arranged in the frame plate, the movable end of the training assembly is provided with four first fingerstalls and a second fingerstall which are used for being arranged on the four fingers and the thumb in a sleeving mode, and a sponge ball used for hot compress of the palm of the patient is arranged on the frame plate. At least one pressing plate which is pushed by a user to trigger the training assembly is arranged in the auxiliary assembly, three training modes are integrated, three-dimensional space composite training of wrist rotation, palm pitching and finger grabbing is combined, the training is directly benchmarked with complex actions in daily life, and the functional value of rehabilitation is improved.

The invention relates to the use of a marking instrument (10; 10a), such as a ruler, set square, or protractor, to refine hand movements and increase the confidence and comfort of individuals who have difficulty automating hand gestures in time and space. The instrument comprises a main body (12) with one or more lateral marking elements (22), with one or more sliding systems (14, 15) and one or more gripping systems (16), and is constructed in several blocks. The main body (12) associated with the gripping system(s) (16) and the lateral marking elements (22) associated with the sliding system(s) (14, 15) are separate blocks, and the main body is actuated by pressure to perform a gripping action. Figure for the abstract: Fig. 14

The invention belongs to the technical field of orthopedic lazy arm traction, and particularly relates to an orthopedic lazy arm traction device which comprises a base, a support is fixedly mounted on the base, a support is fixedly mounted on the support, a traction frame is mounted at the top of the support through an adjusting assembly, and the adjusting assembly is used for adjusting the height of the end, away from the support, of the traction frame; and a lifting rope is arranged in the traction frame. The holding ball is arranged on the holding ball, so that a patient can completely hold the holding ball through a palm and can also hook the holding ball through fingers for traction training, different hand movement states of the patient are adapted, and the application range of the device is expanded; by arranging the counterweight assembly at the bottom of the support, the gravity of the device body can be increased, the placement stability of the device is effectively improved, the device is prevented from toppling over in the traction process, graded adjustment of the traction force of the lifting rope can be achieved by increasing or decreasing the counterweight, the stress requirements of patients in different rehabilitation stages can be met, and the rehabilitation treatment effect is improved.

The utility model relates to a pair of restraining gloves, belongs to the technical field of medical instruments, and solves the problem of unsmooth blood circulation caused by the fact that the hands of a patient are not easy to move due to the restraining gloves in the prior art. The device comprises an auxiliary movement mechanism used for finger movement, the auxiliary movement mechanism comprises an arc-shaped elastic metal sheet and a bending control assembly, and the bending control assembly is used for controlling bending or unbending of the arc-shaped elastic metal sheet; the bending control assembly comprises a flexible inserting sleeve and a rigid inserting strip, the flexible inserting sleeve is arranged on one side of the arc-shaped elastic metal sheet, the rigid inserting strip can be inserted into the flexible inserting sleeve to straighten the arc-shaped elastic metal sheet, the arc-shaped elastic metal sheet comprises a fixed section and a movable section, and after the rigid inserting strip is pulled out of the flexible inserting sleeve, the movable section can be bent towards the palm center. After the rigid insertion strip is drawn out of the flexible insertion sleeve, the movable section loses constraint, fingers of a patient are pushed to bend under the action of bending force of the movable section, and hand movement of the patient can be assisted without taking down the constraint glove.

The invention relates to the technical field of arthritis treatment jackets, in particular to a rheumatoid arthritis hand auxiliary treatment jacket which comprises a glove, the glove is divided into a palm face and a hand back face, a wrist is constructed on one side of the glove, and a pressure control piece is arranged on the glove; the pressure control part comprises a cavity constructed in the glove, the cavity divides the glove into an outer layer and an inner layer, the outer layer is made of a heat preservation material, and the inner layer is made of an elastic material; a water injection valve communicated with the cavity is arranged on the glove, and liquid is allowed to enter and exit from the cavity by opening and closing the water injection valve; the three pressure control modes of wrist air bag pressurization and hand movement dynamic pressurization are adjusted through the liquid medicine injection amount, a patient can autonomously select pressure gears according to the illness state and the scene, low-gear mild pressurization is conducted during daily office mild movement, slight aching pain is relieved, operation is not affected, middle-gear moderate pressurization is conducted when joint swelling pain is aggravated, and therefore the patient can feel more comfortable. During night rest, middle and low gears can be flexibly selected, and morning stiffness is relieved while constraint feeling is avoided.

The application provides a Parkinson's disease intelligent screening and evaluation system based on multi-data driving, belongs to the technical field of artificial intelligence, collects hand movement data of a patient based on a multi-modal sensor glove, pre-processes the collected hand movement data to obtain a feature vector corresponding to the corresponding sensor, converts a UPDRS scale evaluation result into numerical data, matches the numerical data with the feature vector to obtain a four-dimension evaluation vector of the patient, trains and tests the four-dimension evaluation vector by using a multi-source heterogeneous evaluation algorithm to obtain a clustering evaluation model, and outputs an evaluation score according to the input four-dimension evaluation vector to obtain a comprehensive disease classification of the patient. The Parkinson's disease intelligent screening and evaluation method and system based on multi-data driving can timely find the disease level of the patient, improve the objectivity and accuracy of the evaluation, and overcome the subjectivity, fuzziness and incoherence of the traditional evaluation scale.

Provided is an electronic prosthetic hand that detects and operates hand movements. The electronic prosthetic hand may include a prosthetic hand including a finger unit capable of joint movement and a control unit that controls the finger unit, a first sensor module positioned on a user's finger, a second sensor module positioned on the back of the user's hand, and a gyro sensor provided in each of the first and second sensor modules to measure displacement according to a change in the positions of the first and second sensor modules. The electronic prosthetic hand can be used more precisely because the first and second sensor modules detect the movements of the user's finger and back of the hand, respectively, and implement joint movements of the finger unit based on the displacement difference values according to the movements of the finger and back of the hand.

The invention relates to the technical field of intelligent rehabilitation equipment, in particular to an evaluation training method and system based on a hand function combination evaluation training board. The method comprises the following steps: acquiring real-time data of a multi-modal sensor array on a hand function combination evaluation training board according to a personalized training task generated by a patient; preprocessing the real-time data, and extracting key performance characteristics representing the hand movement quality of the patient from the real-time data; inputting the key performance characteristics into a preset artificial intelligence evaluation model to obtain a quantitative evaluation score corresponding to the clinical rehabilitation scale; and according to a comparison result of the quantitative evaluation score and a preset performance threshold value, performing adaptive adjustment on the difficulty parameter of the next round of training task. According to the scheme, the objectivity, efficiency and individuation level of rehabilitation are remarkably improved.

The invention provides a nerve block device for enhancing ultrasonic guided effective development, and belongs to the field of medical instruments. Comprising a fixing sleeve, the inner surface of the fixing sleeve is connected with a rack in a clamped mode, the outer surface of the lower end of the rack is fixedly connected with a probe, an adjusting assembly is arranged on the outer side of the fixing sleeve and comprises a mounting plate fixedly connected with the outer surface of the fixing sleeve, and the inner side of the mounting plate is detachably connected with a guide frame. By arranging the adjusting assembly, the puncture angle of the puncture tube can be accurately adjusted and controlled, so that a nerve blocking agent can be accurately injected to a proper part under ultrasonic guidance, and meanwhile, the guide frame can keep the position of the puncture tube stable; the device is simple in structure and convenient to use, puncture errors caused by hand movement of medical staff in the puncture process can be reduced, the puncture depth position is within a proper range, the puncture precision can be further improved, and then the blocking effect on nerves can be effectively guaranteed.

The present disclosure relates to a computer-implemented method for monitoring hand movements of a writing instrument's user, comprising: providing an electromyography sensor on the user's wrist or hand; monitoring hand movements of the user during a writing session with the writing instrument by reading sensors of the writing instrument; monitoring hand muscle activity of the user during the writing session by reading the electromyography sensor; correlating hand motion data and hand muscle data obtained from the monitoring; evaluating the correlated data and classifying the hand movements as normal or abnormal based on at least one of tremor parameters, hypokinetic parameters, and historical data of the user; and providing an indication in case of an abnormal evaluation.

The application discloses an augmented reality environment-based auxiliary assembly human factor ergonomics evaluation method and system based on hand trajectory, converts three-dimensional coordinates of hand joints collected from an operator into a coordinate system with the head of the operator as an origin to obtain hand centroid coordinates, divides the hand movement trajectory into a plurality of discrete action segments based on the motion speed and the motion direction change of the hand centroid at each time; for each action segment, hand movement characteristic indexes are calculated, including an eye-hand unit vector, an actual extension distance, a motion amplitude and smoothness; based on the hand movement characteristic indexes, the operation visibility, the reachability and the posture load score of each action segment of the operator and the overall posture load of the task are comprehensively calculated to perform real-time human factor ergonomics quantitative evaluation. The application can provide technical support for real-time objective quantitative evaluation of human factor ergonomics of assembly operation, action characteristic analysis and process flow optimization.

A head-wearable apparatus improves user interactions with virtual interface elements in augmented reality (AR) environments. The apparatus tracks hand movements in 3D space, calculating velocity vectors and positions of fingers. For each virtual interface element, it determines a Ul-to-finger vector and calculates alignment with the finger's velocity vector. Interaction zones are dynamically adjusted based on this alignment and velocity magnitude. The system evaluates consistency between finger movement and element locations to predict intended targets. Interactions are triggered when fingers enter adjusted zones of predicted targets. This approach reduces erroneous selections and improves interaction accuracy, even for closely- spaced elements. The invention applies to various AR scenarios, enhancing user experiences in applications like gaming and education.

This invention discloses a method, system, and electronic device for personnel operation assessment based on video temporal joint analysis, relating to the field of power safety technology. This application involves acquiring video from the work site and extracting frames; extracting the sequence of key human points from each frame; dynamically defining risk areas for the head, torso, and hands based on these key points; calculating hand movement speed, distance from the risk area, and movement consistency characteristics; triggering refined behavior recognition when hand movement characteristics indicate a tendency to enter the risk area; extracting multi-scale temporal features before and after the trigger; and judging specific risk behaviors using a pre-trained action recognition model. This invention, through a two-level mechanism of "trend triggering + refined recognition," achieves early warning and accurate identification of risk behaviors such as removing helmets and gloves, effectively improving the real-time performance and preventative capabilities of work safety monitoring. This application realizes a shift from post-event identification to pre-event warning, resulting in better safety monitoring performance.

This application relates to the field of medical devices, specifically to a platelet-rich plasma (PRP) separation and preparation stent, comprising: a support frame; a conduit horizontally mounted on the support frame; a first three-way valve mounted on the support frame; a first snap-fit ​​mounted on the support frame; and a first retaining ring fixedly mounted on the support frame. This PRP separation and preparation stent addresses the problem that hand movement during injection using a syringe containing stratified blood can cause mixing of different blood layers within the syringe, leading to a decrease in the purity of the extracted PRP. It improves the purity of the extracted PRP, and is simple and easy to use.

The application discloses a soft prosthesis hand control method based on myoelectric signals, and the soft prosthesis hand is made of soft silicone and driven by air pressure. The method comprises the following steps: (1) collecting myoelectric signals of hand movement process by a myoelectric sensor and identifying movement results; (2) modeling mechanics of a soft driver to obtain a relationship between air pressure borne by the soft driver and object contact force; (3) constructing a non-singular terminal sliding mode function of a deviation between an expected contact force at the end of the soft driver and an actual contact force; (4) approximating a system disturbance and a modeling error function by using a RBF neural network, and obtaining a control rate according to Lyapunov stability discrimination; and (5) combining the control rate with the action identified in the step (1) to control the soft prosthesis hand to complete a grasping task. The control method solves the problem that a traditional PID control has poor control effect in a nonlinear control system of the soft prosthesis hand, reduces the problems of slow system response and serious chattering, and is a complete closed-loop control method for grasping objects by the soft prosthesis hand.

The invention discloses an attitude control method and equipment of a master-slave robot, a medium and a product, and belongs to the technical field of medical equipment. The attitude increment of the master hand is determined by acquiring the attitude information of the master hand at the current moment and the previous moment, and the gradual following of the target attitude of the slave hand is realized by using the disturbance model based on the historical attitude of the master hand, the attitude increment and the current attitude of the slave hand, so that the slave hand smoothly transits and gradually aligns in the motion process of the master hand; and the operation requirement of frequently quitting master-slave or re-aligning due to posture mismatching is obviously reduced, so that the operation efficiency is improved. And by selecting the motion component which enables the master-slave attitude error to be gradually reduced, the system can realize continuous optimization adjustment of the attitude, and the operation accuracy and the control stability are further improved. Compared with the prior art, the progressive following control method provided by the invention can detect and compensate the difference between the master attitude and the slave attitude in real time, and the jumping phenomenon of the instrument is fundamentally inhibited.

This utility model discloses a wave-board glove with an auxiliary elastic ball, comprising a palm fabric and a back fabric for reinforcing support and restricting hand movement, a wrist fabric for fixing and adjusting wrist tightness, and an inflatable elastic ball to meet the patient's functional exercise needs. The palm fabric and the back fabric are fixedly connected by their arc-shaped edges, and an inflatable elastic ball is disposed at the center of the palm fabric near the back fabric. The wrist fabric is fixedly disposed at the lower edge of the back fabric near the palm. By placing an inflatable elastic ball between the palm fabric and the back fabric, and connecting the inflatable elastic ball to an inflation tube and an air bladder through an inflation port, an adjustable-size inflatable elastic ball is placed inside the wave-board glove. While ensuring restraint of the patient's limbs, the glove allows the patient to elevate their limbs to maintain a functional position, thereby promoting blood circulation. It also allows the patient to perform appropriate functional exercises using the inflatable elastic ball without affecting physical recovery, thus promoting the recovery of hand muscle strength.

The utility model relates to the field of medical health care equipment, in particular to an auxiliary glove for improving hand movement dysfunction caused by idiopathic tremor, which comprises a glove body, a plurality of first elastic pieces arranged on the back of the glove body and a plurality of second elastic pieces arranged on the back of the glove body. One end of the first elastic piece is connected to the area, corresponding to the middle lower portion of the finger, of the fingerstall part, and the other end of the first elastic piece is connected to the position, corresponding to the hand back, of the glove body. According to the utility model, the connection mode of the first elastic piece is changed, so that the existing problems are effectively solved.

The utility model discloses a palm back restraining glove which is applied to the field of medical instruments and comprises a glove body, and a flexible body and a hard body are arranged in the glove body. Rope penetrating grooves are formed in the flexible body, the hard body and the glove, a binding rope is arranged in the flexible body, and the binding rope is arranged in the rope penetrating grooves in a sleeved mode. According to the utility model, the flexible body is arranged to provide flexible support for the hand of a patient; by arranging the hard body, the situation that the hand of the patient is connected with the glove and knocks the hard object together, and consequently the hand of the patient is injured can be avoided in the struggling process of the patient through the hard material; by arranging the binding rope, after the glove is connected with the hand of a patient, the binding rope can be bound to the head of a sickbed, so that the hand movement of the patient is limited, and the palm back, the palm center and the arm of the patient are integrally limited; the situation that the patient struggles and scratches to hurt himself or herself or medical staff is avoided; and the lashing rope can be replaced conveniently through the arrangement of the lashing groove.