1809 results about "Body positions" patented technology

The invention relates to the technical field of health monitoring, and discloses a patient health monitoring method and system based on dynamic electrocardiogram analysis, and the method comprises the steps: synchronously obtaining multi-lead dynamic electrocardiogram data continuously collected by a patient within a preset duration, and related physiological parameters of exercise intensity, respiratory rate and body position change; performing dynamic self-adaptive preprocessing on the dynamic electrocardiogram data based on the associated physiological parameters to obtain standardized electrocardiosignals; extracting a multi-dimensional characteristic parameter set from the standardized electrocardiosignal, and sampling according to a preset time window to generate a characteristic parameter sequence with a timestamp; and inputting the characteristic parameter sequence into a dynamic optimization analysis model capable of iteratively updating parameters through real-time physiological parameter feedback, and performing graded evaluation on the health state of the patient to generate an evaluation result. The system corresponds to the method. By adopting the method and the system, the accuracy of dynamic electrocardiogram monitoring and the evaluation refinement level meet the dynamic monitoring requirement of cardiovascular health.

The invention provides a PPG optical sleep and respiration monitoring method and system based on a gravity sensing intelligent ring, and the method comprises the steps: synchronously collecting a PPG signal and a three-dimensional gravity acceleration signal of a hand through the intelligent ring, carrying out the adaptive filtering of the PPG signal, extracting a time-domain pulse wave and a frequency-domain heart rate variability feature, and carrying out the detection of the PPG signal. Body movement intensity and body position change frequency are calculated according to the gravitational acceleration signals, and body movement feature vectors are generated. And then fusing the pulse wave characteristics, the heart rate variability characteristics and the body movement characteristics, constructing a multi-dimensional physiological parameter matrix, analyzing and dividing sleep stages based on spatial-temporal correlation of the matrix, and detecting abnormal respiratory rhythm. And finally, dynamically adjusting a judgment threshold value of the abnormal respiratory rhythm, and outputting a sleep quality evaluation result and a respiratory event alarm. According to the invention, the accuracy and real-time performance of sleep monitoring can be improved.

The present invention relates to the field of medical equipment, and in particular to a body position reversal device and a method of using the same. The body position reversal device comprises a support structure and a retaining device for fixing a human body, wherein the retaining device is rotatably mounted on the support structure, and the retaining device comprises a front support mechanism for supporting the front side of the human body and a rear support mechanism for supporting the rear side of the human body, wherein a retaining space for accommodating the human body is formed between the rear support mechanism and the front support mechanism; the body position reversal device also comprises an operating mechanism or a driving device for driving the retaining device to reverse so that the human body can switch between a supine position and a prone position. The beneficial effects of the present invention are: it is convenient for the reversal and adjustment of the human body position, the device has a simple structure, the reversal is flexible and labor-saving, and the safety of the human body during the reversal process is ensured.

The invention relates to the technical field of non-electrical variable control or regulation systems, and discloses a temperature rising blanket temperature closed-loop control method and system based on human body position recognition feedback, and the method comprises the steps: calculating a form compactness coefficient representing a heat dissipation boundary based on pressure data, and calling a mapping function to convert the form compactness coefficient into an equivalent thermal impedance estimated value; introducing the estimated value and dynamically constraining the forward channel gain of the temperature closed-loop controller according to a negative correlation strategy; according to the method, a real-time mapping mechanism of the contact topological characteristics and the control gain is constructed, so that the problem of model mismatch caused by body position change of the controlled object is solved; when the high-impedance contact state is detected, energy input is automatically reduced, the local heat accumulation effect is restrained, and the convergence and safety of the thermodynamic control process under the variable boundary condition are ensured.

The invention discloses an AI intelligent control pressure sore prevention self-adaptive mattress system which comprises a mattress body provided with a polymer support column structure covering in all directions and designed into a plurality of areas, and the areas are accurately divided to support a human body and disperse pressure; the sensor array module is used for recording monitoring data of contact between each part of a human body and a plurality of areas of the mattress body in real time; the AI chip control module integrates an advanced algorithm and a processor and is used for receiving and analyzing the monitoring data from the sensor and sending out a control instruction based on an analysis result; and the database management module is used for storing monitoring data of patients with different weights, heights, ages and body positions and is used for predicting and early warning pressure sore risks. According to the invention, pressure sore risk areas can be accurately identified in a zoning manner, pressure, temperature and humidity information can be monitored in real time, and meanwhile, a proper pressure state is automatically adjusted, so that the occurrence of pressure sores is effectively prevented.

The invention discloses a spine Cobb angle measuring method and device and electronic equipment, and the method comprises the steps: inputting a to-be-measured spine image into a body position recognition model, and obtaining a spine shooting body position of the to-be-measured spine image outputted by the body position recognition model; inputting the to-be-detected spine image into the target detection model to obtain a spine region image of a spine in the to-be-detected spine image output by the target detection model; inputting the spine area image into a key point identification model corresponding to the spine shooting body position to obtain position information output by the key point identification model to each section of vertebral body of the spine; and calculating a spine Cobb angle in the spine area image according to the position information of each section of vertebral body. A complex vertebral body recognition task is split and refined, different lightweight models are respectively trained and used for completing tasks of all stages, the tasks comprise body position recognition, spine coarse positioning and key position recognition, precise positioning of a vertebral body from coarse to fine is gradually completed in each link, and the precise positioning of the vertebral body from coarse to fine is completed. And finally, completing Cobb angle calculation based on precise positioning of the vertebral body in the image.

The invention relates to the technical field of sleep cabins, in particular to intelligent control equipment of novel pressure reducing and sleep promoting equipment, which comprises a chair body, a side plate, an intelligent control module and an electromagnet body, a plurality of optocoupler sensors are fixed on the surface of the side plate, and a plurality of pressure sensors are arranged on the surface of the chair body. A plurality of detection probes are further arranged in the chair body, the box bodies are arranged in the chair body, and the number of the box bodies is two groups; a second motor is started to drive a long rod and a first gear to rotate, the first gear walks along the surface of a tooth rail, a box is driven to ascend and descend, the vertical position of an electromagnet body is controlled and adjusted, and the effect of controlling and adjusting the position of the electromagnet body is achieved; under the cooperation of the push-pull rod, the movable seat and the electromagnet body are driven to move, the magnetic field range is enlarged or reduced, and therefore switching between wide-area massage and precise massage is achieved.

The invention relates to the technical field of monitoring, and particularly discloses an anti-esophageal reflux monitoring system for old patients with dysphagia, which is used for solving the problems of oesophageal elastic degeneration, frequent body position change, low swallowing amplitude and the like of the old patients with dysphagia. Therefore, the problem that an existing reflux monitoring system based on single-point sensing, static threshold control and periodic model updating cannot meet the dynamic reflux early warning requirements of individualization, high sensitivity, real-time performance and low power consumption is solved. Comprising a wearable esophagus comprehensive monitoring module, a body position and esophagus deformation recognition module, a personalized pressure threshold self-adaption module, an intelligent prediction and early warning module, an air bag execution module and a cloud model training and updating module. According to the invention, multi-modal sensing and dynamic threshold, self-adaptive sampling and online model fine tuning are fused, low-amplitude swallowing and early-stage reflux signals are effectively captured, the iteration period is shortened by cloud differential updating, the equipment endurance is prolonged, and the esophageal injury risk is reduced.

Systems and methods for predicting problem behavior in individuals with developmental and behavior disabilities. A plurality of sensors are configured to collect multimodal data signals of a subject individual including a wearable upper body motion sensing device with a plurality of inertial measurement units (IMUs). An electronic controller is configured to receive output signals from each of IMUs and to model an upper body position of the subject individual based on the output signals from the IMUs. A trained machine-learning model is then applied by providing an input data set that includes multimodal signal data (e.g., including signal data from at least one IMU) and / or features extracted from the multimodal signal data. The machine-learning model is trained to produce as output an indication of whether a precursor to the problem behavior is detected and, in response to detecting the precursor, a notification (or alarm) is generated.

The invention belongs to the technical field of intelligent mattresses, and particularly relates to a rehabilitation nursing bed capable of intelligently converting body positions and a control method. Comprising a bed board and an intelligent control system, and the bed board is sequentially provided with a first airbag layer and a second airbag layer from top to bottom; each air bag in the first air bag layer and the second air bag layer is connected with a pneumatic system; the first air bag layer comprises a plurality of first air bag groups which are transversely arranged; the second air bag layer comprises a plurality of second air bag groups which are vertically arranged; the first air bag sets and the second air bag sets are in one-to-one correspondence in position, and the first air bag sets and the second air bag sets are symmetrically divided into a left part and a right part with respect to the center line of the human body. A data acquisition module is arranged on the first airbag layer; the intelligent control system is connected with the data acquisition module and the pneumatic system; the first air bag layers are vertically arranged; the second air bag layers are transversely arranged; fine body position adjustment is facilitated, and the device is responsible for fine body position adjustment and supporting for a specific area.

The invention belongs to the technical field of acupuncture and moxibustion, and discloses a needle body tracking type intelligent acupuncture and moxibustion system which comprises a data collecting and processing module, a needle body positioning module, a 3D model registration and dynamic updating module, a real-time rendering display module and an interaction module. Three-dimensional coordinates, puncture depth and angle information of a needle body are obtained in real time with high precision through a multi-modal composite positioning technology, and real-time visual association of the needle body with key anatomical structures such as bones, blood vessels and nerves in the in-vivo penetrating process is achieved by combining a dynamically-registered 3D anatomical model and the actual body position of a patient. The needle inserting precision and the operation safety are obviously improved; meanwhile, through multi-plane fusion view presentation, a dynamic breathing compensation mechanism and a layered rendering updating strategy, it is ensured that a physician can visually master the real-time space relation between a needle body and surrounding tissue, and important structures are effectively prevented from being accidentally injured; and diversified touch interaction and instant operation feedback are supplemented, so that the operation complexity is greatly reduced.

The invention discloses an intelligent analysis method for a sleep-aiding scheme driven by intelligent perception, and relates to the technical field related to data processing.The method comprises the steps that pressure sensing data and temperature sensing data of sleep of a user are sensed and collected through a sensor array arranged in sleep equipment in advance; performing integrated comfort analysis to obtain pressure comfort information and temperature comfort information of the user; performing screening and body position change analysis on the first user body position information sequence and the second user body position information sequence to obtain a body position change frequency; analyzing and calculating the sleep-aiding comfort level of the sleep-aiding scheme to obtain the sleep-aiding comfort level as an analysis result of the sleep-aiding scheme. The technical problems that in the prior art, it is difficult to comprehensively perceive and analyze the sleep state of the user to reflect the comfort level of the user, dynamic optimization based on body position changes is lacked, and consequently the scientificity and individuation of the sleep scheme of the user are insufficient are solved, and the technical effect of improving the analysis scientificity and individuation adaptation capacity of the sleep scheme is achieved.

The invention discloses a body position fixing device for radiology department examination, which comprises a bed body, a limiting mechanism, an unlocking mechanism and a plurality of fixing units, the limiting mechanism, the unlocking mechanism and the plurality of fixing units are arranged on the bed body, and the limiting mechanism and the unlocking mechanism are matched with the fixing units. Each fixing unit comprises a clamping plate, a first connecting rod, a second connecting rod, a crank, a movable block, a cylinder and a base, a movable groove is formed in the base, the cylinder is arranged in the movable groove and connected with the movable block, the second connecting rods are symmetrically arranged on the two sides of the movable block, the crank and the movable block are rotationally connected with the second connecting rods, and the crank is rotationally connected with the clamping plate; the clamping plate and the base are both rotationally connected with the first connecting rod. Through the application of the body position fixing device for examination in the radiology department, the operation process is simplified, the operation burden of medical staff is relieved, and the working efficiency of the medical staff is improved.

The invention discloses an intelligent nursing body position adjusting method and system based on respiratory function protection, and relates to the technical field of artificial intelligence and medical nursing. The method comprises the steps that body pressure distribution signals and respiratory thoracic impedance signals of a patient are collected in real time, a physiological data sequence is generated through Kalman filtering and wavelet fusion noise reduction, the physiological data sequence is input into a pre-trained deep learning network, and fusion feature vectors and body position performance indexes are output. And if the body position performance index is not lower than a preset threshold value, inputting the fusion feature vector into a pre-trained classification model, and outputting a classification label of the breathing state. A preset parameter optimization mapping table is inquired according to the classification labels, candidate parameter combinations sorted according to priorities are obtained, the parameter group with the highest priority is selected, a multi-motor cooperation instruction is calculated through a feedback control algorithm, and dynamic regulation and control of the bed surface are achieved. The invention aims to realize respiratory function protection and individualized nursing by sensing the respiratory state in real time, intelligently deciding and adjusting parameters, cooperatively executing control and adopting a safety protection mechanism.

The invention provides a treatment device capable of automatically and accurately adjusting a body position. The treatment device comprises a treatment pad body, a body position adjusting mechanism, a pressure sensor and a controller. The treatment pad body is provided with four body units which are arranged in a parallel array mode. The body position adjusting mechanism comprises a supporting frame; the connecting frame is provided with four body areas, the four body units of the treatment pad body are fixedly installed above the four body areas of the connecting frame respectively, the four body areas of the connecting frame are in pivot joint through pivots, and the supporting frame is in pivot joint with the four body areas of the connecting frame through pivots; the electric telescopic rod is mounted on the supporting frame through a base; the connecting rod is rotatably mounted on the supporting frame, and a connecting piece pivoted with the electric telescopic rod is arranged on the connecting rod; one end of the boosting rod is fixedly connected with the connecting rod, and the other end abuts against the four body areas of the connecting frame. The pressure sensor is arranged on the treatment pad body. The controller is electrically connected with the pressure sensor and the electric telescopic rod of the body position adjusting mechanism.

The invention relates to the technical field of medical images, in particular to an intelligent medical image evaluation system, which comprises a data acquisition module used for acquiring a body position image sequence of a patient, imaging equipment operation data and equipment operation environment data, and acquiring body thickness data of the patient at the same time; the image registration module is used for carrying out image registration on the patient body position image sequence; the body position shaking evaluation module is used for evaluating the body position shaking degree of the patient; the scanning range evaluation module is used for evaluating the matching degree of the scanning range; the equipment operation evaluation module is used for evaluating the operation stability of the imaging equipment; and the imaging quality pre-estimation module is used for analyzing the body position shaking degree, the scanning range matching degree and the imaging equipment operation stability and pre-estimating the medical image imaging quality. According to the method, the accuracy and reliability of medical image quality evaluation are improved by quantitatively analyzing the body position shaking condition of the patient and the operation state of the imaging equipment.

The invention relates to a body position auxiliary detection method and system based on DR equipment. The method comprises the following steps: performing coordinate alignment on pressure distribution data and three-dimensional depth information of a patient to generate an initial body position three-dimensional point cloud model; matching a corresponding reference skeleton-muscle model based on the registration information, generating a registered body position three-dimensional model through non-rigid registration, and extracting coordinates of key anatomical mark points; a target structure theoretical projection area is calculated by combining a DR equipment C arm projection angle, an angle deviation vector is acquired by comparing an actual projection boundary, and a dynamic correction mark is generated. According to the method, through space coordinate alignment, personalized model registration and real-time projection angle deviation correction, the accuracy and efficiency of body position placement are remarkably improved, radiation exposure caused by repeated shooting is reduced, and therefore the medical image quality and diagnosis reliability are remarkably improved.

The invention provides a capsule endoscopy path prediction method and device based on multi-modal data fusion, and belongs to the technical field of medical equipment.The method comprises the steps that body position time sequence data of a patient are collected in the current time period through a plurality of inertial measurement units (IMUs), collecting time sequence image data of the digestive tract of the patient in the current time period through a capsule endoscopy; preprocessing the body position time sequence data and the time sequence image data to obtain preprocessed body position time sequence data and preprocessed time sequence image data; and inputting the preprocessed body position time sequence data and the preprocessed time sequence image data into a pre-trained prediction model to obtain a capsule endoscopy path prediction result output by the prediction model and a body position adjustment prompt of the patient. According to the method, the accuracy of capsule endoscopy path prediction is improved, and missing detection can be effectively avoided.

The invention provides an intelligent ward nursing information acquisition and processing method and system. The method comprises the following steps: acquiring mattress pressure data to construct a pressure grey-scale map sequence, calculating a pressure barycentric coordinate difference value between continuous frames to generate a patient movement vector set and a body barycentric movement path, extracting a continuous pixel region exceeding a pressure threshold in a single-frame image as a high-pressure region, and counting the duration of the high-pressure region; calculating gradient distribution by using the pressure data, decomposing the gradient distribution into direction and intensity data, and generating a pressure topological graph through dual-channel fusion; integrating the bending characteristics of the moving path, the time distribution characteristics of the duration of the high-pressure area and the spatial gradient characteristics of the pressure topological graph, and constructing a body position dynamic space-time diagram with the central point of the high-pressure area as a node and the moving distance and angle of the node as edges; when it is recognized that the high-risk static body position features exist in the image, a turning-over reminding process is triggered, and a control instruction is generated. According to the invention, accurate recognition and automatic nursing response of high-risk body positions are realized.

The invention discloses a method and a system for preventing a pressure sore pad based on deep Q learning and an attention mechanism. The method comprises the steps that pressure distribution data and posture data of a patient are collected through a pressure sensor and a posture sensor, normalization processing is carried out on the collected data, and a standardized state data flow is generated; and constructing a contact surface pressure distribution model of the patient and the pressure sore prevention pad according to the standardized state data flow to obtain a contact surface state matrix and the like. According to the method, a self-attention mechanism and a deep neural network are adopted, a Q learning algorithm is combined, predefined air bag pressure adjustment actions are evaluated and optimized, and an optimal air bag adjustment strategy is generated. The local pressure of the pressure sore prevention pad is adjusted according to the strategy. The state of a patient can be intelligently sensed, pressure distribution of the pressure sore prevention pad can be adjusted in a self-adaptive mode, pressure sores are effectively prevented, and nursing quality and patient comfort are improved.

The invention discloses a thoracic surgery patient postoperative remote monitoring method and system based on the Internet of Things, and relates to the technical field of medical rehabilitation monitoring. Feature index extraction is carried out by taking body position pressure and respiration collaborative response as a two-factor dynamic evaluation basis, so that high-sensitivity judgment on a thoracic cavity load state is formed; after the abnormal state is recognized, body position adjustment is carried out, acoustic feedback analysis is linked, secondary evaluation after body position adjustment is achieved, intervention effectiveness of body position adjustment is ensured, personalized adjustment suggestions are automatically generated, the whole process of'perception-recognition-execution 'of remote monitoring is opened, the intelligent level and response real-time performance of postoperative recovery management are improved, and the postoperative recovery management efficiency is improved. According to the overall scheme, health risks caused by position misjudgment, intervention lag and monitoring blind areas in a traditional system are effectively avoided.

The utility model relates to the field of femoral stem detection, and specifically discloses a femoral stem detection device, which solves the problems in the prior art of cumbersome operation, low detection efficiency, and limited detection regionality, resulting in inaccurate detection results. The device includes a storage rack, a detection rack, a classification rack, a collection box, a data acquisition module, and a processing module. The inner wall of the detection rack has a plurality of laser displacement sensors connected to the data acquisition module, and the data acquisition module is communicatively connected to the processing module; the storage rack is connected to the detection rack, and is provided with a plurality of positioning grooves, and the femoral stem can be embedded in the plurality of positioning grooves. The classification rack is connected to the storage rack, and the classification rack is used to classify the detected femoral stems and place them in the corresponding collection boxes. The device is convenient for quickly and accurately placing a plurality of femoral stems in the same position at a designated position, and automatically transporting, detecting, and classifying, and the processes of placement, detection, and classification can be carried out simultaneously, with simple operation, high detection efficiency, and more accurate results.

The invention discloses an assembly fixture for a fuselage of a large freight unmanned aerial vehicle and an assembly method of the assembly fixture. The assembly fixture comprises a base, a fuselage positioning frame and a skin gluing frame, the fuselage positioning frame is installed in the middle of the base, sliding rails are arranged on the two sides of the base, and the skin gluing frame is divided into a left skin gluing frame and a right skin gluing frame which are arranged on the sliding rails on the two sides of the base respectively and are in sliding fit with the sliding rails; the base is provided with a servo motor for driving the left skin gluing frame and the right skin gluing frame to horizontally move along the sliding rails, and the skin gluing frames are provided with a PLC control module used for controlling the servo motor to work. The fuselage positioning frame and the skin gluing frame are integrated on the same base, and the left skin and the right skin of the whole fuselage are integrally glued through the sliding rail and the appearance clamping plate device; and the positions of the left skin and the right skin are accurately controlled by utilizing the PLC control module, so that the appearance and the position degree of the fuselage skin are ensured.

The invention relates to the technical field of mattresses, in particular to a multifunctional anti-bedsore intelligent mattress which comprises a fixing part made of rubber, a plurality of expansion layers used for pushing a patient to change the body position are arranged on the fixing part, and a cloth layer used for shielding the fixing part and the expansion layers is arranged above the fixing part. The expansion layer comprises a plurality of first air bags uniformly arranged in the length direction of the fixing part and second air bags uniformly arranged in the width direction of the fixing part; a driving mechanism for pushing the first airbag to vertically lift is arranged at the bottom of the first airbag; a lateral pushing mechanism for pushing the second airbag to bend and deform is arranged on one side, far away from the center of the fixed part, of the second airbag; the turning-over assisting device is used for assisting a patient in turning over, the breathability in the using process is enhanced, the body position fixing requirement is met, and the using comfort is guaranteed.

A bed apparatus includes: a mattress mounted on a bed body; and, first cells arranged on both left and right sides in a longitudinal direction of the bed body and is configured to change the body position of a patient on the mattress by inflating the first cells alternately. When the first cells on the left and right sides are inflated, and when a difference in pressure between the first cells on the left and right sides has continuously fallen within a decision pressure value range for a decision pressure value continuation time, the body position of the patient is changed, whereas when the difference has not continuously fallen within the pressure value range for the continuation time or when the difference has continuously fallen out of the pressure value range for the continuation time, change of the body position of the patient will not be performed.

The invention relates to the technical field of medical treatment, in particular to an intra-abdominal pressure adjusting device and method.The device comprises an adjustable support used for supporting a skin contact assembly and allowing the position and angle of an electromagnet to be adjusted; the electromagnetic adsorption assembly is fixed on the adjustable bracket and is used for lifting the abdominal skin of the patient according to an electromagnetic adsorption effect so as to reduce the abdominal wall pressure; the skin contact assembly connected with the electromagnetic adsorption assembly is used for being attached to the skin of a patient and forming a sealed space; the control assembly is electrically connected with the electromagnetic adsorption assembly and used for collecting current pressure data and dynamically adjusting current output of the electromagnetic adsorption assembly according to a preset pressure threshold value and the current pressure data. Therefore, the problem that in the prior art, although the body position therapy can relieve the gravity compression of the abdominal wall, in a critical patient needing to be kept in a semi-reclining or upright position, the reverse effect of chest pressure conduction and diaphragm downward movement possibly aggravates the pressure load of the abdominal cavity is solved.

The invention relates to the technical field of medical auxiliary equipment, and discloses a self-adaptive guiding system and method based on patient posture positioning, and the system comprises a multi-modal sensing module which obtains a skeleton key point sequence, body pressure distribution data and human eye vision parameters of a patient; the intelligent processing module is used for calculating the real-time posture of the patient and matching the real-time posture with the reference posture to generate a multi-dimensional adjustment instruction; the AR-HUD display module is used for calibrating a virtual image based on human eye visual parameters, superposing a three-dimensional arrow direction indication and a semitransparent target body position contour to an actual visual field through a space registration technology, and synchronously displaying a respiratory rhythm guide light band and instruction text content; and the bidirectional feedback module is used for receiving the body position adjustment completion signal of the patient and synchronously displaying an AR view, a skeleton key point matching result and an instruction execution state in real time. According to the invention, the accuracy of posture adjustment of the patient and the treatment efficiency are remarkably improved, and the risk of treatment effect reduction caused by action deviation is effectively reduced.

The invention discloses an intelligent anti-falling risk management system based on artificial intelligence, and relates to the technical field of artificial intelligence, the intelligent anti-falling risk management system comprises a management center, and the management center is connected with a monitoring acquisition module, a transmission processing module, a body position analysis module and a multi-dimensional supervision module; constructing a resting virtual space for the bedridden old person, and performing position marking on the collected bedridden state data through the resting virtual space based on the intelligent anti-falling bed to obtain a continuous track of the bedridden old person; boundary distance statistics is carried out according to the continuous track of the bedridden patient, the boundary distance is converted into a real-time track fluctuation map, range division is carried out on the real-time track fluctuation map, the range proportion is counted, and a curve judgment range is obtained; carrying out simulation diagnosis through the static lying virtual space to obtain an abnormal identification state, and carrying out dynamic feedback adjustment on the bedridden old people according to the abnormal identification state based on the static lying virtual space to obtain an anti-falling intervention measure; the occurrence of falling-off accidents of old people is effectively reduced, the nursing efficiency is improved, and the burden of nursing personnel is relieved.

The utility model relates to a turn-over pillow with a timed reminding function, which comprises a bottom plate, a rotating plate, a movable plate, a lifting device, a timed alarm device and a trigger device, one end of the rotating plate is hinged on the bottom plate, the other end of the rotating plate is movably arranged, the lifting device is arranged on the bottom plate, in the use process, the angle of the rotating plate is adjusted through the lifting device, and the timed alarm device is arranged on the bottom plate. Secondly, a sliding rod is arranged on the movable plate, a sliding groove is formed in the rotating plate, the movable plate is arranged on the rotating plate through the sliding rod, the sliding rod is arranged in the sliding groove in a telescopic mode, the trigger device is arranged at the bottom end of the sliding groove, and the trigger device is electrically connected with the timing alarm device. At the moment, the patient presses the movable plate, the sliding rod abuts against the trigger device, the trigger device controls the timing alarm device to start timing, and when the time reaches the preset time, the timing alarm device gives an alarm so that medical staff can be reminded to adjust the body position of the patient.

The invention provides a multi-scene body position conversion-based standing-up assisting control method and system for the elderly suffering from stroke. According to the method, firstly, the standing-assisting device is controlled to obtain a fusion sensing result composed of body pressure distribution data and joint movement data, multi-feature coupling analysis is carried out to generate a combined recognition conclusion containing a body position state and a scene type, and then dynamic mode mapping is carried out according to the combined recognition conclusion. Outputting a target control mode matched with the current scene type and the body position, and finally performing power instruction synthesis by utilizing the target control mode to generate a cooperative control signal for driving the standing assisting equipment to execute body position conversion; according to the technical scheme provided by the invention, accurate conversion from standardized control to personalized control is realized, the suitability and the user experience of the standing assisting process are improved, the uncertainty and the individual difference in actual operation are overcome, and the stability, the safety and the adaptability of the body position conversion process are improved.