14 results about "Functional status" patented technology

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.

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 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.

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.

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.