1642 results about "Body position" patented technology

The invention discloses an operating room intelligent monitoring method and system based on monitoring video recognition, and relates to the technical field of medical safety supervision, and the method comprises the steps: collecting a video through an operating room camera array, and constructing an operation region panoramic sequence through a residual neural network and an optical flow field; a double-branch target detection network is adopted to extract the position of a medical worker, the body position of a patient and the characteristics of surgical instruments, and a surgical scene model is constructed; performing trajectory tracking based on skeleton key point extraction and Kalman filtering, and constructing a dynamic graph of the operation process; generating an operation process state report by using the time sequence diagram convolutional network and a multi-head attention mechanism; and comparing the operation specification library through a knowledge distillation algorithm, and carrying out grading recording on abnormal events. According to the invention, efficient abnormal event tracking and recording functions are realized, technical support is provided for operation quality control and safety management, and the overall performance of operating room intelligent monitoring is improved.

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 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 provides an AR-assisted acupoint dynamic positioning method and system based on biological characteristics, and relates to the technical field of medical assistance, and the method comprises the steps: building a three-dimensional body model based on the body shape point cloud data, collected in real time, of a current user, and calculating the theoretical coordinates of acupoints in combination with a traditional Chinese medicine acupoint positioning rule; dynamically calibrating the theoretical coordinates on the basis of synchronously acquired body surface conductivity change characteristics and body surface temperature distribution characteristics of the to-be-acupunctured body area of the current user, and generating acupuncture point coordinates and corresponding needle inserting parameters; the acupuncture point coordinates are mapped to the body part of the current user, visual acupuncture point marks are displayed in real time through AR equipment, and operation guidance related to the needle inserting parameters is synchronously provided; when it is detected that the body position change of the user exceeds the preset threshold value, the above steps are executed again, and the acupoint coordinates and the operation guidance are updated, and through multi-modal biological feature fusion, dynamic calibration and AR visualization interaction, acupoint positioning is precise, dynamic and visualized.

The invention discloses a bedsore prevention and body position management system and method.The system comprises a mattress, a multi-mode sensing unit, a central processing unit and a body position adjusting unit, the mattress is used for providing lying support for a patient, the multi-mode sensing unit is arranged on the mattress, the central processing unit is arranged on the mattress, and the body position adjusting unit is arranged on the central processing unit. The multi-mode sensing unit is used for collecting pressure distribution data, temperature and humidity data and body posture data of a bedridden patient in real time, and the central processing unit is in communication connection with the multi-mode sensing unit and used for receiving, fusing and processing the data collected by the multi-mode sensing unit and conducting bedsore risk assessment based on a preset bedsore risk model. The central processing unit is used for generating a bedsore risk level and a body position management instruction, and the body position adjusting unit is arranged in the mattress, connected with the central processing unit and used for receiving and executing the body position management instruction so as to adjust the distribution of pressure borne by the body surface of a patient. According to the system, real-time monitoring of bedsore risks and automatic body position adjustment are achieved, the nursing load is relieved, and the nursing efficiency and quality are improved.

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.

The invention provides a massage control method, a massage chair and a controller applied to the massage chair, the massage chair at least comprises the controller, a massage chair main body, an image acquisition device and at least one massage arm.The method comprises the steps that if it is detected that a user sits stably, the image acquisition device is controlled to acquire a current image of the user; identifying a body model of the user according to the current image; and according to the body type model and the current massage mode, determining an action track sequence of each massage arm, and according to the action track sequence of each massage arm, controlling each massage arm to execute massage. The massage process can cover a wider massage area, the personalized massage path can be automatically generated according to the body shape of the user, the massage fitting degree and comfort degree are improved, the whole body surface of the user is massaged, meanwhile, the personalized adaptation capacity of the massage process is improved, and the user experience is improved. The massage experience of the user in the massage process is enhanced, and the personification of the massage process is improved.

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 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 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 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 invention relates to a positioning and fixing device for tumor radiotherapy, and belongs to the technical field of medical instruments. In order to solve the problems of poor radiotherapy effect, body burden of a patient and the like caused by the influence of the body shape change of the patient on radiotherapy positioning at present, a headrest checking mechanism, a mold forming mechanism, a trunk wrapping and fixing mechanism, a lower limb limiting mechanism and a main controller are arranged, and the headrest checking mechanism corresponds to the head position of the patient in a lying position; the mold forming mechanism is adjacent to the headrest checking mechanism, the trunk wrapping and fixing mechanism is arranged above the mold forming mechanism, the lower limb limiting mechanism is arranged at the end, close to the tail, of the mold forming mechanism, and the main controller is arranged at the rear end of the lower limb limiting mechanism; the main controller is in communication connection with the headrest checking mechanism, the mold forming mechanism and the trunk wrapping and fixing mechanism. The device can be adaptively adjusted according to the posture of a patient, so that the influence of the body shape change of the patient on the radiotherapy precision is avoided, and the radiotherapy positioning time and the workload of doctors are shortened.

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.

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 invention relates to the technical field of intelligent traditional Chinese medicine diagnosis and treatment, and discloses a thermosensitive moxibustion tracking algorithm and system based on long-acting moxibustion therapy sensing and posture three-dimensional sensing, and the algorithm comprises a long-acting flexible thermosensitive sensing subsystem, a three-dimensional posture sensing module, a multi-modal data fusion processing unit, a dynamic thermal field modeling algorithm, and a self-adaptive moxibustion applying control subsystem. Through full-chain innovation of long-acting sensing, three-dimensional sensing, coupling modeling and intelligent control, the performance stability problem (drift error is less than or equal to + / -0.3 DEG C) of the flexible sensor under long-term work (more than or equal to 72 hours) is solved; establishing a posture-thermal field-time four-dimensional coupling model, and realizing submillimeter thermosensitive point tracking under a dynamic posture; a millisecond-level response (less than or equal to 50ms) closed-loop control system is constructed, and the adaptability to complex clinical scenes is improved; therefore, the key technical problem in the dynamic moxibustion therapy scene is systematically solved.

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.

The utility model discloses a bleeding expelling and stopping ring with a fixing support, and relates to the technical field of medical instruments. The hemostasis device comprises a hemostasis ring and a fixing support, one end of the fixing support is detachably and fixedly connected with the hemostasis ring, and the other end of the fixing support is detachably and fixedly connected with a diseased limb. The elastic contraction ring and the bleeding stopping ring are arranged and can be tightly attached to the diseased limb, the uniform and lasting bleeding stopping effect is achieved, complications caused by a conventional air pressure tourniquet are reduced, and the occurrence of lower limb deep vein thrombosis is reduced; the rod-rod fixing clamp is arranged, the angle and the position of the support can be adjusted according to the operation requirement and the change of the body position of the patient, and therefore the accurate control over the operation body position of the patient is achieved; the bleeding expelling and stopping ring and the fixing support are connected and combined for use, so that the risk that the operation operable area range is possibly reduced and the operation difficulty is increased when one end close to the operation part is fixed through an external support is avoided, and the operation success rate is increased.

The invention relates to the technical field of intelligent medical instruments, in particular to an intelligent microwave physical therapy device and a control method thereof.The device comprises a microwave physical therapy device body and a microwave generating and radiating unit used for generating and radiating microwave energy to the focus area of a patient; the multi-mode sensing unit is used for monitoring body position information of a patient and temperature information of a treatment area in real time; the motion execution unit is used for adjusting the spatial position of the microwave generation and radiation unit according to the body position information; and the control unit is connected with the microwave generation and radiation unit, the multi-mode sensing unit and the motion execution unit, and is configured to be used for controlling the motion execution unit to adjust the microwave radiation area according to the body position information and adjusting the output power of the microwave generation and radiation unit according to the temperature information. According to the scheme, the safety of the treatment process and the accuracy of energy control are guaranteed, and the burn risk is effectively avoided.

The invention provides a spinal pedicle screw implantation system based on a multi-modal image and MR navigation, and relates to the technical field of screw implantation, the system comprises a preoperative image processing module used for identifying bony characteristics of a patient and delimiting a screw implantation safety boundary according to the bony characteristics; and the bone image fusion navigation module is used for analyzing to obtain anatomical data of the patient, and calculating a screw implantation path according to a crown porcupine optimization algorithm in combination with bony characteristics. And the body position correction module is used for calculating the body position deviation value and synchronously adjusting the screw implantation path according to the body position deviation value and the screw implantation safety boundary. And the path risk early warning module is used for calculating the distance between the surgical tool and the key tissue in real time, and performing collision risk assessment and early warning. And the postoperative evaluation module is used for quantitatively evaluating the screw implantation precision and generating a postoperative report. According to the method, more accurate positioning can be provided for screw implantation, the accuracy of a screw implantation path is ensured, early warning is performed through extraction, a doctor is reminded to take measures in time, and operation safety is ensured.

The invention discloses an anti-resistance exercise training system for old people based on intelligent wearable equipment, and relates to the technical field. The problems that in the prior art, a dynamic action monitoring error correction mechanism is lacked, exercise intensity adjustment is not personalized and real-time, interaction and data feedback functions do not exist, and equipment portability and wearing adaptability are insufficient are solved. The system collects data in real time through the whole body position intelligent wearable device, corrects non-standard actions through the action recognition feedback module, dynamically regulates the intensity through the exercise intensity evaluation module, reduces the risks of muscle strain, cardiovascular burden and the like, takes standardized action guidance, personalized intensity adaptation and data visualization as the core, ensures target muscle activation, and improves the training efficiency. The training effect is quantified, the operation is simple, the use threshold is reduced through voice guidance, the boring feeling is relieved through personalized plans and summary reports, the training achievement feeling and compliance of the old people are enhanced, the muscle strength can be improved through whole body position training, and the anti-resistance exercise requirement of the old people is met.

The invention relates to a lumbar drainage tube decompression secondary fixing device which mainly solves the problem that in the prior art, a lumbar drainage tube fixing device cannot be individually adjusted according to the waist curve and the body shape of a patient. The device comprises a bottom frame, an adjusting mechanism and a supporting mechanism, the bending degree of the supporting mechanism is adjusted through the adjusting mechanism to adapt to waist curves of different patients, it is ensured that the supporting mechanism is tightly attached to the waist, and a drainage tube is prevented from being pressed. The supporting mechanism is composed of a plurality of bow plates and chain blocks, the chain blocks are connected through pins, and the angles of the bow plates can be adjusted according to needs. The adjusting mechanism is matched with the sliding table through the driving rod, so that the supporting mechanism can be stably adjusted to adapt to different body position changes of the patient, the pressure of the waist is relieved, and the drainage tube is prevented from being pressed. The device can effectively solve the problem that a traditional supporting device cannot be flexibly adjusted, the comfort of a patient is improved, complications caused by improper fixation are reduced, and the device has good application prospects.

The invention provides a method for detecting infant sleep based on a multi-mode signal and a dynamic threshold value. The method comprises the steps that a photoelectric volume pulse wave signal and an acceleration signal of a collection area are obtained; optimizing the photoelectric volume pulse wave signal and the acceleration signal to obtain an optimized photoelectric volume pulse wave signal and an optimized acceleration signal; wherein the optimized photoelectric volume pulse wave signal and the optimized acceleration signal are optimized signals screened through filtering and multi-mode signal quality evaluation; determining the posture of the baby according to the optimized acceleration signal; and determining a monitoring risk level according to the baby posture and the optimized photoelectric volume pulse wave signal. The optimized photoelectric volume pulse wave signal and the optimized acceleration signal are obtained through optimization, the monitoring signal is screened and optimized, the noise interference resistance is improved, the accuracy of the monitoring result is ensured, meanwhile, the threshold value can be dynamically adjusted, and the applicability is improved.

The utility model discloses a deep vein puncture training simulation device, which comprises a puncture training platform, a dummy man device and a puncture training device, the dummy man device comprises a dummy man body and simulated deep veins distributed in the dummy man body, and each simulated deep vein is filled with simulated blood. The surface of the simulation human body is coated with a transparent observation layer through which all the simulation deep veins can be observed; a body position adjusting device is arranged on the puncture training table; the puncture training device comprises a puncture training needle and a puncture feedback device; teaching and training requirements of different body positions can be met by adjusting the body position of the simulated human body, all simulated deep veins can be observed through the transparent observation layer, and puncture results can be fed back in time when puncture training is conducted through cooperation of the puncture training needle and the puncture feedback device. When puncture fails, failure causes can be known through observation of the transparent observation layer, so that trainees can adjust and correct in time, and accuracy, training efficiency and quality of puncture operation are improved.

A method of modifying a living environment to assist in fall prevention is described. The method includes the steps of detecting a first illumination level within the living environment; determining the first illumination level is below an illumination threshold; detecting a first body transition based on comparing a first detected body position to a second detected body position; determining the first body position transition is indicative of an unsafe transition; and increasing an illumination level within the living environment to a second illumination level that is greater than the first illumination level based on the determining the first illumination level and the determining the body position transition. A system for modifying a living environment to assist in fall prevention is also described.