22 results about "Functional status" patented technology

The invention discloses a shoulder operation rapid rehabilitation regulation and control system combined with an analgesia path, and the system firstly collects signals in real time through a multi-mode physiological sensing network, constructs a shoulder dynamic function spectrogram reflecting pain and functional states, and recognizes a functional abnormality core region; then, a targeted drug infusion system is controlled, and a personalized analgesia path matched with the physiological response of the object is generated in combination with a multi-physics field coupling model and a model prediction control algorithm; thirdly, calculating the comprehensive rehabilitation confidence coefficient for quantifying the rehabilitation potential by analyzing the space-time correlation between the functional spectrogram and the analgesia path; and finally, based on the comprehensive rehabilitation confidence, generating a safe, effective and object-tolerant personalized rehabilitation training instruction set by using a multi-target rehabilitation optimization model, and driving rehabilitation equipment to execute. The method has the following advantages and effects: precise space-time matching and dynamic coordination of analgesia and rehabilitation training are realized, so that the rehabilitation efficiency and quality are remarkably improved on the premise of ensuring safety.

1. Name of the product in this design: Electromyography Evoked Potential Instrument. 2. Purpose of this design: To determine the functional status and suspected lesions of the peripheral neuromuscular system and central nervous system, detect subclinical lesions, and accurately locate lesions. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model. 5. The bottom surface of this product is a part that is not easily seen or cannot be seen during use, so the bottom view is omitted.

The application discloses a kind of management methods and systems to cope with nursing rehabilitation service, it is related to nursing management technical field;The method includes the steps of: collecting and maintaining the personal information of all users;Regular health assessment is carried out to target user, and obtains rehabilitation state data set;Its technical points are: the daily nursing time length fine tuning operation when the nursing level has reached the limit is constructed, and the ideal range deviation degree of Barthel index, PEI value and body state evaluation value is introduced therein, so that the overall scheme can flexibly adjust the nursing time length under the premise that the nursing level is unchanged or cannot continue to adjust, to adapt to the rehabilitation trend change, on the one hand, individualized nursing resource allocation is realized according to functional state difference, while maintaining the stability of nursing level, enhance service flexibility, on the other hand, avoid the nursing disjointedness phenomenon caused by level limit, complete the optimization management operation of nursing operation.

1. The name of this design product: Portable health instrument. 2. Purpose of the product of this design: used to conduct preliminary examination or screening of users to obtain information about blood composition, human organs and system functional status. 3. The key point of the design of this product lies in its shape. 4. The picture or photo that best illustrates the design points: three-dimensional picture.

The invention relates to a method for evaluating the hand function state of a stroke patient, and belongs to the field of stroke, the method combines a Fugle-Meyer motion function evaluation scale and doctor suggestions, determines nine standard hand actions for evaluation, accurately obtains the three-dimensional coordinates of 21 key points of the hand of the patient by adopting a Mediape algorithm, provides an accurate data basis for evaluation, and improves the accuracy of the evaluation. According to the characteristics of each hand action, the geometric features with the highest distinguishing degree for healthy or sick states are selected as evaluation indexes, including angles and distances, and the hand function states of different rehabilitation levels can be stably distinguished. In the evaluation process, a weighted average method is adopted, reasonable weights are given to different fingers, the difference between healthy and affected hands is highlighted, the evaluation accuracy is further improved, meanwhile, a particle swarm optimization (PSO) algorithm is introduced to achieve automatic selection of a threshold value, subjectivity and uncertainty of manually setting the threshold value are avoided, and the evaluation accuracy is improved. And the evaluation result is more scientific and reasonable.

This document discusses, among other things, systems and methods for managing pain of a subject. A system includes a first sensor circuit to sense a first signal indicative of a functional state of the subject, a second sensor circuit to sense a second signal different from the first signal, and a controller circuit. The controller circuit may determine an operating mode of the second sensor circuit according to the sensed first signal, trigger the second senor circuit to sense the second signal under the determined operating mode, and generate a pain score using at least the second signal sensed under the determined operating mode. The pain score may be output to a patient or used for closed-loop control of a pain therapy.

This invention discloses a method and system for assessing implant-bone sensory function status. The method includes the following steps: S1. Applying a dynamic test excitation signal to a sensory measurement rod rigidly connected to the implant via a standard force generator; S2. Simultaneously acquiring the standard input force signal (F) output by the standard force generator. input ), and the implant response force signal (F) measured by the sensory measuring rod. implant S3. Response force signal (F) to the implant implant S4. Perform time-domain or frequency-domain analysis to extract at least one characteristic parameter characterizing the implant-bone sensing dynamic mechanical properties; S5. Based on the characteristic parameter, evaluate the implant-bone sensing functional state and mechanical stability.

The invention relates to the technical field of rehabilitation assessment, in particular to a cerebral apoplexy rehabilitation assessment method and system based on voice multi-task learning, and the method comprises the following steps: carrying out the psychological emotion recognition of assessment voice data, and obtaining a cerebral apoplexy rehabilitation subjective assessment task used for perceiving the subjective rehabilitation feeling of an assessment object; performing physiological function recognition on the evaluation voice data to obtain a cerebral apoplexy rehabilitation objective evaluation task for perceiving the objective rehabilitation state of the evaluation object; and performing weight adaptive combination on the stroke rehabilitation subjective evaluation task and the stroke rehabilitation objective evaluation task by using a multi-task learning mechanism to obtain a stroke rehabilitation evaluation model. According to the method, objective function states and subjective emotional feelings fed back from the voices of the patient can be taken into consideration during rehabilitation evaluation, pain and discomfort of the stroke patient can be perceived during functional evaluation, the individual accuracy of stroke rehabilitation evaluation is improved, and the user experience is enhanced.

The present invention discloses an intelligent ICF-RS functional assessment and grading system and method, which specifically includes an input module, different dimensional assessment modules, and an output module; the different dimensional assessment modules include: a physical function dimension assessment module, an activity function dimension assessment module, a participation function dimension assessment module, and an overall functional status assessment module. The outputs of the input modules are respectively input into the different dimensional assessment modules, and the outputs of the different dimensional assessment modules are then input into the output module and output the final functional status grading results. Compared with the traditional clinical technology that applies the ICF evaluation standard, this method uses a large amount of ICF-RS quantitative standard functional status grading data to train and optimize the four-dimensional neural network model, and can evaluate the patient's functional status in 30 categories separately, and at the same time output the four-dimensional functional grade assessment results, so as to obtain more objective diagnostic results, reduce the misdiagnosis rate, and reduce the patient's medical costs.

The invention relates to the fields of computing and medicine. A method for remotely monitoring the health status of patients includes the steps of: setting acceptable numerical and / or qualitative values with respect to physiological parameters of a patient; collecting information at predetermined intervals regarding the current functional status of a patient; transmitting the collected information about the current functional status of the patient to a computing device of the patient at predetermined intervals; transmitting the information about the functional status of the patient from the user computing device to at least one cloud server at predetermined intervals, wherein data arrive at the server in a structured form and are stored in a relational database; comparing the information arriving at the cloud server about the current functional status of the patient with the predetermined acceptable numerical and / or qualitative values of physiological parameters of the patient; generating an urgent notification in the event that the current values of the functional status of the patient do not correspond to the predetermined acceptable numerical and / or qualitative values of physiological parameters, said urgent notification being sent to the computing device of the patient and / or of a doctor and / or of a designated representative.

The invention relates to the fields of computing and medicine. A method for remotely monitoring the health status of pregnant persons includes the steps of: setting acceptable numerical and / or qualitative values with respect to physiological parameters, taking into account medical conditions and personal health parameter values for each individual pregnant person; collecting information at predetermined intervals regarding the current functional status of a pregnant person; transmitting the collected information about the current functional status of the pregnant person to a computing device at predetermined intervals; transmitting the information about the functional status of the pregnant person from the computing device to at least one cloud server at predetermined intervals, wherein data arrive at the server in a structured form and are stored in a relational database; comparing the information arriving at the cloud server about the current functional status of the pregnant person with the predetermined acceptable numerical and / or qualitative values of physiological parameters; generating an urgent notification in the event that the current values of the functional status of the pregnant person do not correspond to the predetermined acceptable numerical and / or qualitative values of physiological parameters, said urgent notification being sent to a computing device of the pregnant person and / or of a doctor and / or of a designated representative.

A system and method of quantifying, maintaining and managing the functional status and / or therapy settings of an IMD based on code path metrics is disclosed. The codebase of device firmware modules may be instrumented to obtain tracing data and timing metrics data corresponding to different code paths that may be taken when a device subsystem or associated functionality is accessed or activated. Code path metrics of actual code paths may be analyzed to detect a deviation from baseline code path metrics and generate a corresponding graduated response.

The invention provides a double-lower-limb intelligent weight-bearing training system and method suitable for recumbent rehabilitation, and relates to the technical field of rehabilitation training.The method comprises the steps that after a patient wears a double-lower-limb training structure in a recumbent state, patient information is input, corresponding training data is inquired, healthy side simulation training is conducted on the patient without the training data stored, and the training data is obtained; training data are obtained and stored based on the detection value of the pressure sensor and the movement track of the double-lower-limb training structure in the simulation training process, and then lower limb training movement is conducted on the patient with the stored training data according to the corresponding training data. The device has the beneficial effects that the problem of lack of key stress stimulation due to incapability of getting out of bed during postoperative early rehabilitation is effectively solved; an accurate basis is provided for a host to monitor and adjust the axial stress applied by the mechanical arm, and the blindness of manual force application is overcome; the training load and the motion mode of the affected side are strictly matched with the tolerance level and the function state of the patient, and the precise rehabilitation of one person with one strategy is realized.

The invention discloses a shoulder action recognition method and system based on multiple modes and a trunk coordinate system, and the method combines 2D and 3D key point information, and improves the evaluation precision and robustness. According to the method, the trunk coordinate system is dynamically constructed through each frame, and the influence of body swing and camera visual angle change is eliminated; eight standardized shoulder joint actions are designed, three types of active activities, passive stretching and resistance tests are covered, and the functional states of core muscle groups such as supraspinatus, subspinatus and subscapular muscles are comprehensively evaluated. The system analyzes videos of the actions executed by the patient, and uses a deep learning algorithm to extract a plurality of key indexes such as shoulder joint motion range, muscle force exerting symmetry, action track deviation and the like.

This invention relates to the field of rehabilitation data management technology, specifically to a method, device, and medium for predicting postoperative rehabilitation stages for osteoarthritis. The method includes: acquiring multi-dimensional prognostic factors corresponding to the patient; outputting a personalized postoperative rehabilitation stage for the patient through a pre-trained machine learning model; periodically updating physical function parameters; updating psychosocial parameters; and updating the personalized postoperative rehabilitation stage based on the updated parameters of the multi-dimensional prognostic factors. By integrating multi-dimensional prognostic factors such as basic physical characteristics, intraoperative parameters, functional status, and psychosocial factors, this invention overcomes the limitations of traditional template-based rehabilitation stages, generating a rehabilitation stage prediction tailored to each patient's individual circumstances, thus achieving personalized assessment of the patient's rehabilitation stage.

The invention relates to the technical field of hip joint evaluation, and relates to a hip joint evaluation method and system, and the method comprises the steps: obtaining the adduction moments and adduction angles of a hip joint of a patient at a plurality of moments in the hip joint adduction process; calculating an adduction evaluation coefficient; obtaining abduction moments and abduction angles of the hip joint at multiple moments in the abduction process of the hip joint of the patient; calculating an abduction evaluation coefficient; obtaining a Harris hip joint score of the patient; and correcting the Harris hip joint score according to a minimum value in the adduction evaluation coefficient and the abduction evaluation coefficient to obtain a target hip joint score, and outputting the hip joint score. According to the invention, the accuracy and precision of evaluation of the hip joint function state are improved, so that a more appropriate treatment scheme and rehabilitation plan can be appointed for a patient.

Inventions relates to medicine and can be used to control the functional state of a person. Using the system to implement the methods, two or more electrocardiograms are recorded, processed using a mathematical model from a group that includes a decision tree, a neural network, and one of three regressions: linear, logistic, and probit, used to obtain the value E of an estimate of a person's functional state. Thereby, the values obtained are compared with the tabular evaluation values selected from the table of the corresponding therapeutic test. In this case, the table of the corresponding therapeutic test contains a set of values for assessing the functional state from 1 to M and descriptions for each value of the assessment of the corresponding functional state, as well as standard recommendations and a determination of the correspondence of the obtained value of the assessment of the functional state to one of the assessment values. They make recommendations, monitor the implementation of the formed recommendations and adjust the implementation process based on monitoring data, as well as correct the functional state in accordance with the formed recommendations of a person. Inventions ensuring an increase in the reliability of the result of assessing the functional state of a person and a reduction in the duration of the assessment.

This invention discloses a rapid rehabilitation control system for shoulder surgery that integrates analgesia pathways. The system first acquires signals in real time through a multimodal physiological sensor network to construct a dynamic functional spectrum of the shoulder reflecting pain and functional status, identifying core areas of functional abnormalities. Then, it controls a targeted drug infusion system, combining a multiphysics coupling model and a model predictive control algorithm to generate a personalized analgesia pathway that matches the patient's physiological response. Next, by analyzing the spatiotemporal correlation between the functional spectrum and the analgesia pathway, a comprehensive rehabilitation confidence score quantifying rehabilitation potential is calculated. Finally, based on the comprehensive rehabilitation confidence score, a safe, effective, and patient-tolerable personalized rehabilitation training instruction set is generated using a multi-objective rehabilitation optimization model, driving the rehabilitation equipment to execute the instructions. This invention has the following advantages and effects: it achieves precise spatiotemporal matching and dynamic synergy between analgesia and rehabilitation training, thereby significantly improving rehabilitation efficiency and quality while ensuring safety.

The invention relates to the technical field of rehabilitation data management, in particular to a postoperative rehabilitation stage estimation method and device for osteoarthritis and a medium, and relates to the field of rehabilitation data management.The method comprises the steps that a multi-dimensional prognosis factor corresponding to a patient is obtained; outputting a personalized postoperative rehabilitation stage corresponding to the patient through a pre-trained machine learning model; the body function parameters are updated regularly; updating the psychological and social parameters; the personalized postoperative rehabilitation stage is updated through the updating parameters of the multi-dimensional prognosis factors. By integrating basic body characteristics, intraoperative parameters, functional states, psychological society and other multi-dimensional prognosis factors, the limitation of a traditional templated rehabilitation stage is broken through, rehabilitation stage estimation fitting personal actual conditions can be generated for each patient, and personalized evaluation of the rehabilitation stage of the patient is achieved.

A method for assessment and correction of a person's functional state involves recording electrocardiograms (ECGs) of at least the first lead. Initially, the first ECG is recorded. The second ECG is recorded after the person completes the first therapeutic test, and the third and subsequent ECGs are recorded after the second and subsequent therapeutic tests. At least one pair of ECGs is selected, and the corresponding sets of heart rate variability parameters, Vi and Vj, are calculated for each ECG from the selected pair of ECGs (ECGi and ECGj). A group of parameters Gij is formed for each calculated pair of sets, consisting of Vi, Vj, and their calculated difference, Δij. Each group Gij is processed in a functional state assessment unit using a mathematical model selected from a group consisting of a decision tree, a neural network, or one of three regressions—linear, logistic, and probit. The values of the person's functional state assessment, Eij, are obtained for each group of Gij. Each obtained value Eij is compared with the tabular assessment values selected from the table for the corresponding therapeutic test. The table comprises a set of values for assessing a functional state from 1 to M and corresponding descriptions for each assessment value of the corresponding functional state, as well as standard recommendations. The correspondence of each obtained value Eij of the person's functional state assessment to one of the assessment values provided in the table is determined. Recommendations are formed based on the descriptions of functional state and standard recommendations provided in the table for all obtained functional state assessment values for all selected pairs of recorded ECGs. The person's implementation of the formed recommendations is monitored. Adjustment is performed, if necessary. The functional state is corrected by adjusted implementation of the formed recommendations. The method allows obtaining a quality assessment value of implementation of the formed recommendations. A system for assessment and correction of the person's functional state is also proposed.