18 results about "Limbs movements" patented technology

The invention discloses a method and a system for evaluating movement of two lower limbs of a stroke patient, and relates to the technical field of movement function evaluation. The invention discloses a stroke patient double-lower-limb movement evaluation system which comprises a task guide module, a movement acquisition module, a movement scoring module, an interference evaluation module, a trend analysis module, a combination analysis module and a result output module. According to the method, the scoring model based on crowd category feature matching is constructed, exercise ability scoring is performed by adopting a machine learning algorithm or a fixed weighted combination, personalized evaluation is realized according to the group features of different patients, and the generalization ability and prediction accuracy of the scoring model are improved; group modeling is carried out by introducing features such as patient age, gender and motion level, and a scoring strategy is automatically switched according to the number of samples, so that the scoring mechanism also has reliability and clinical consistency in a family scene with limited data volume.

The invention relates to the technical field of health management, in particular to a risk assessment method and device for a stroke patient, equipment and a medium, and the method comprises the steps: obtaining a video image and audio data of the stroke patient, the video image comprises a face reaction image made by the stroke patient based on the first guide instruction and a limb reaction image made by the stroke patient based on the second guide instruction, and the audio data is a reply made by the stroke patient based on the third guide instruction; determining a facial paralysis recognition result and an eye response recognition result based on the facial response image; determining a limb motion recognition result based on the limb reaction image; based on the audio data, determining a language pronunciation recognition result; according to the method, the risk assessment level of the stroke patient is determined based on the facial paralysis recognition result, the eye response recognition result, the limb movement recognition result and the language composition recognition result, and the risk of the stroke patient can be accurately and quickly assessed without considering medical environment conditions.

The invention provides a human activity fine-grained identification method based on a human body RFID skeleton, and belongs to the field of deep learning. According to the method, an advanced identification method and existing problems are considered, firstly, 16 RFID flexible tags are arranged at main joints of a human body by using an RFID technology and distribution of a human skeleton, a new human activity data set is acquired by reading the tags, the data set is an activity data set with most human activity types in the HA R field of bound RFID so far, and the data set is a new human activity data set with most human activity types in the HA R field of bound RFID. The problems that at present, the HA R based on the binding type RFID mainly utilizes human body trunk movement information, four-limb movement information related to human activities is lacked, human activity characteristics cannot be effectively captured, and the types and the number of human activities are small are solved. Then, based on the sampling data, a space-time skeleton diagram of human body activities is designed, and the problem that at present, HAR based on binding type RFID cannot utilize a graphic interaction network to classify graphs is solved. And finally, designing a space-time skeleton diagram convolutional network for human activity identification, and classifying the space-time skeleton diagram to realize human activity identification, thereby solving the problems that the HAR based on binding type RFID uses the traditional machine learning as an identification method at present, the HAR is limited in modeling capability for complex activities and low in accuracy. Experiments show that the method is a simple and feasible fine-grained human activity identification method.

Mobility training device (1), in particular for the controlled movement of a person's extremities, comprising a limb receptacle (4, 6) for receiving at least a part of an extremity, which is connected to an outer wall (10) of a fluid-tight hollow body (8), wherein the hollow body (8) can be connected to a fluid pump (2) such that a fluid pressure can be built up and released within the hollow body (8), wherein the limb receptacle (4, 6) can be moved into at least an extended position and a loose position by means of the fluid pressure within the hollow body (8), characterized in that the hollow body (8) is designed to be flexible such that, with an increase in fluid pressure, the outer wall (10) of the hollow body (8) enters a state of tension and thereby the limb receptacle (4, 6) can be moved into a flexed position and a loose position.6) is moved into the extended position and, upon a drop in fluid pressure, the outer wall (10) of the hollow body (8) transitions into a stress-free state, thereby moving the link receptacle (4, 6) into the loose position.

A computer-implemented method for quantifying movement or load asymmetry of a pair of extremities is presented for computer-aided diagnosis and / or for assessing the effectiveness of surgery or treatment. The method comprises: providing (102) a first pattern representing a movement or load pattern of a first extremity; providing (104) a second pattern representing a movement or load pattern of a second extremity; performing (106) a linear transformation of the data values ​​of the first and second data points such that scaled first and second patterns are obtained, the data values ​​of the scaled first and second data points having been transformed into a common data value range; identifying (108) pairs of first and second scaled data points that represent the same time point;Calculation (110) of a normalized asymmetry score pattern comprising a variety of normalized asymmetry scores, each asymmetry score being calculated as a function of the difference between the data value of a pair of first and second scaled data points; and output (112) of a display of the presence and / or magnitude of the subject's asymmetry as a function of the normalized asymmetry score patterns to enable the use of the display for computer-assisted diagnosis and / or for evaluating the effectiveness of a surgical intervention or treatment to compensate for or reduce movement asymmetries.

The application discloses a kind of cerebral apoplexy patient double lower limbs movement evaluation method and system, it is related to motor function evaluation technical field.A kind of cerebral apoplexy patient double lower limbs movement evaluation system, including have: task guide module, motion acquisition module, motion scoring module, interference evaluation module, trend analysis module, combination analysis module and result output module.The application is matched by constructing the scoring model based on population category characteristics, and motion ability score is carried out using machine learning algorithm or fixed weighting combination, and personalized evaluation is realized according to different patient population characteristics, to improve the generalization ability and prediction accuracy of scoring model;By introducing patient age, gender, movement grade and other characteristics for grouping modeling, and automatically switching scoring strategy according to sample quantity, the scoring mechanism also has reliability and clinical consistency in the limited data amount of home scene.

The invention belongs to the field of rehabilitation training equipment, and discloses a prone four-limb linkage crawler and a control method thereof. The crawler comprises a main body support, and a hand movement mechanism, a transmission mechanism, an abdomen flexible supporting device, a foot movement mechanism, a man-machine interaction module, a power module, a sensing module and a control module which are respectively fixed on the main body support. The transmission mechanism comprises a transmission piece which is connected with the hand movement mechanism and the foot movement mechanism and enables the end executors on the same side to move synchronously. Opposite-side end actuators on the hand movement mechanism and the foot movement mechanism are fixed in opposite directions and perform circular motion; the abdomen flexible supporting device can achieve small-amplitude springing or / and twisting or / and swinging of the abdomen and the waist of the user along with movement of the four limbs in the training process. According to the crawler, the movement of four limbs of a user during training is closer to the multi-axis movement of an animal during crawling, an intelligent control method is introduced, and the self-adaptive and personalized rehabilitation requirements of the user are met.

The utility model provides a limb exercise rehabilitation device, relates to medical rehabilitation technical field, including bottom plate, the surface of bottom plate is fixedly equipped with the base, the inside of base is fixedly equipped with the threaded block, the inside of threaded block is in threaded connection with the twin screw, the surface of twin screw is fixedly equipped with the top block, and the top block is in threaded connection with the threaded block. By arranging the threaded block, the double screws, the top block, the bevel gear rotating handle, the seat, the sliding groove, the sliding seat and the moving frame, the double screws are meshed with the bevel gear rotating handle, so that the moving height of a patient can be adjusted; meanwhile, the overall angle of the exercise frame can be adjusted through rotating connection between the sliding base and the exercise frame, so that rehabilitation schemes can be customized for different patients, the rehabilitation device is suitable for various rehabilitation items and use environments, the exercise posture and comfort degree are optimized, and then the rehabilitation effect and experience are effectively improved.

The utility model provides a lower limbs movement intelligence electric power assisting device, including the positioning mechanism of binding in the waist, the thigh exoskeleton of binding on the upper thigh, the lower leg exoskeleton of binding on the lower leg, the foot support mechanism of binding in the foot, the positioning mechanism, the thigh exoskeleton, the lower leg exoskeleton and foot support are connected in proper order, the positioning mechanism includes the waist support, sets up the waist band on the waist support, and the waist support is bound in the waist through the waist band. The lower limbs movement intelligence electric power assisting device provided by the utility model avoids the problem of poor wearing comfort under complex motion, improves the adaptability of the device and the human body, further buffers the motion limit position between the lower leg exoskeleton and the thigh exoskeleton of the human body through rubber pad one and rubber pad two, avoids the damage of the knee part caused by the rigid contact between support plate two and support plate three in the device wearing process, and further improves the adaptability of the device.

The invention discloses a limb movement posture detection method based on multi-modal multi-view video feature fusion, relates to the field of computer vision, and aims to solve the problems of incomplete single-view data information, limited single-modal feature expression and low posture detection accuracy in the prior art. According to the method, two-dimensional videos and three-dimensional skeleton data of the front face, the left side face and the right side face are synchronously obtained, a double-flow neural network is used for processing different modal data and achieving deep fusion, complementary information of a main view angle and a side view angle is fused through a cross-view-angle attention mechanism, and finally accurate detection of the movement postures of the four limbs is achieved.

The present application relates to a kind of bionic lizard robot and its crawling control method, solve the problem that existing bionic lizard robot lacks the cooperation of waist torsion and limb movement.This device includes forebody and hindbody, the forebody is provided with forelimb connecting rod, the left and right ends of forelimb connecting rod are respectively connected with left forepaw and right forepaw, the forebody is provided with forelimb servo, and the output shaft of forelimb servo is connected with forelimb connecting rod;The rear part of the hindbody is provided with hindlimb connecting rod, and the left and right ends of hindlimb connecting rod are respectively connected with left hindpaw and right hindpaw, and the rear part of the hindbody is provided with hindlimb servo, and hindlimb servo is connected with hindlimb connecting rod;Torsion servo is arranged between forebody and hindbody.The present application uses torsion servo between forebody and hindbody to cooperate with forelimb servo and hindlimb servo of forebody and hindbody to realize simulation crawling, and the structure is simple and reliable, control is simple, action is flexible, and simulation degree is high, so it is an ideal bionic lizard robot.

The utility model relates to the technical field of rehabilitation nursing devices, in particular to a rehabilitation training nursing device which comprises an installation base, a containing groove is formed in the top end of the installation base, a reel is rotationally connected into the containing groove, an adjusting belt is fixedly arranged on the side face of the reel, a rotating disc is fixedly arranged at one end of the reel, and a limiting pipe is fixedly arranged in the rotating disc. A limiting pipe is arranged in the protective barrel, a sliding groove is formed in the limiting pipe, a sliding block is arranged in the sliding groove, a limiting shaft is fixedly arranged on one side of the sliding block, and an extrusion spring is arranged on the other side of the sliding block. Therefore, the pulling force applied to the four limbs of the patient during movement is appropriate, the probability that the patient is strained due to the fact that the pulling force is too large or the exercising effect is poor due to the fact that the pulling force is too small is reduced, and the use safety and the exercising effect of the device are improved.

The present invention relates to the field of rehabilitation nursing technology, and discloses an upper and lower limb rehabilitation training vehicle, including a base frame, an outer protective shell is fixed on the top of the base frame, a column is fixed on the top of the outer protective shell, a front side wall of the column is provided with a rotatable inner protective shell, a knob is fixed on the inner cavity of the column, and the bottom of the knob is located in the inner cavity of the outer protective shell. The upper and lower limb rehabilitation training vehicle, through the above, if the patient needs to perform rehabilitation training on the lower limbs, first rotate the inner protective shell to the left, the rotating inner protective shell drives the eccentric wheel to rotate, and the toggle block on the eccentric wheel causes its self-locking disk to move to the left. When the self-locking disk moves to the left, individual upper limb movement, individual lower limb movement and four limb movement are realized, reducing the inconvenience brought by traditional rehabilitation training vehicles, and can also adapt to the rehabilitation training needs of multiple patients, thereby improving the overall practicality.

The utility model relates to the field of medical instruments, in particular to an assembled ankle joint pad with a fixing function. The foot pad comprises the foot pad main body and the fixing component, the foot pad main body is provided with the groove for placing the foot, the pressure of the heel part can be completely reduced, and the pressure is dispersed along the shank, so that the pressure cannot be generated on the achilles tendon and popliteal vein, the pressure injury can be effectively prevented, and the pain caused by the pressure injury can be effectively relieved. The foot pad is fixed on a sickbed through the fixing band, so that the whole foot pad can be fixed, and for dysphoria and dementia patients, the foot pad plays a role in restraining while preventing pressure injury, preventing lower limbs of the patients from moving, and avoiding more serious injury to heels.

The present application relates to the technical field of health management, and particularly relates to a risk assessment method, device and equipment for a stroke patient and a medium, the method comprising: acquiring video images and audio data of the stroke patient, the video images comprising facial response images of the stroke patient based on a first guide instruction and limb response images based on a second guide instruction, and the audio data being replies of the stroke patient based on a third guide instruction; determining facial paralysis recognition results and eye response recognition results based on the facial response images; determining four-limb movement recognition results based on the limb response images; determining language articulation recognition results based on the audio data; and determining a risk assessment level of the stroke patient based on the facial paralysis recognition results, the eye response recognition results, the four-limb movement recognition results and the language articulation recognition results, so that the risk of the stroke patient can be accurately and quickly assessed without considering medical environmental conditions.

1. Name of the design product: lower limbs rehabilitation machine. 2. Use of the design product: the design product is used to help the lower limbs movement and rehabilitation of human body. 3. Design points of the design product: in shape. 4. Picture or photo best indicating the design points: perspective view.

The invention relates to the technical field of intelligent control, in particular to an exoskeleton rehabilitation exercise control method based on multi-sensor monitoring, and the method comprises the steps: connecting four-limb linkage exoskeleton accessories, activating multi-source monitoring equipment in a wearing state, collecting the exercise data of each joint in real time, and constructing a staged exercise ability model. And extracting coordination deviation characteristics of upper and lower limbs, carrying out iterative updating in combination with user feedback and a staged coordination process, and obtaining a rehabilitation complete-cycle training scheme, so that the technical problems that the movement process is limited to power-assisted auxiliary control and cannot dynamically adapt to the real-time movement state and rehabilitation process of a patient are solved, and the aim of realizing rehabilitation of the patient by activating multi-source monitoring equipment is achieved. The method comprises the following steps: acquiring limb movement data of a user in real time, constructing a staged movement ability model, identifying coordination deviation characteristics of a patient in a rehabilitation process, and carrying out iterative updating in combination with feedback data of the user and a staged rehabilitation process, so as to realize the technical effect of dynamic adjustment of limb linkage and joint collaboration.

1. The name of the product of this appearance design: Four-limb linkage rehabilitation training device. 2. Purpose of this design product: used for limb movement rehabilitation training. 3. The design key point of this appearance design product lies in the shape. 4. The picture or photo that best illustrates the design points: three-dimensional picture.