17 results about "Balance assessment" patented technology

The invention relates to the technical field of rehabilitation medical equipment, in particular to human body balance assessment equipment, a human body balance assessment method and a human body balance assessment device. Acquiring pressure information on the standing platform through a three-dimensional force sensor, and calculating human body pressure data based on the pressure information; acquiring a human body contour image and a human eye image through a pose acquisition device, and acquiring a plantar image through a plantar image acquisition device; human body balance state evaluation is carried out according to at least one of the human body pressure data, the plantar image, the human body contour image and the human eye image, the human body balance state is analyzed through multi-dimensional balance evaluation, comprehensive dynamic balance evaluation is achieved, the precision is higher, meanwhile, a mechanical part and a processing part are flexibly combined, and the dynamic balance evaluation efficiency is improved. And the applicability is wider.

This invention relates to the field of balance assessment, and more specifically, to a method for assessing the dynamic balance performance of micro fan blades. The method includes: reconstructing a high-precision instantaneous phase sequence using Hall signals and performing a two-stage fitting: first, identifying interference frequencies through preliminary fitting; then, constructing a hybrid domain full-basis matrix containing rotor phase basis and time-domain interference basis, and globally fitting the original vibration signal to achieve accurate separation of the target signal and interference. Finally, calculating the unbalance amplitude from the fitting coefficients and calculating the goodness of fit to quantify the assessment measurement confidence. This invention effectively mitigates speed fluctuations, separates interference, and performs self-verification, significantly improving the accuracy and reliability of the assessment.

The invention relates to the technical field of intelligent fitness and exercise rehabilitation, in particular to an intelligent dumbbell based on muscle-bone model action chain type correction. According to the intelligent dumbbell, the motion trail of the dumbbell during training of a user is collected through a built-in inertial measurement unit, human body parameters of the user are combined, the motion trail is input into a preset human body muscle-bone model, and a real-time angle sequence of main joints of the whole body of the user is reversely deduced through inverse kinematics calculation; the sequence is compared with a standard action library, the initial compensation joint with the earliest abnormal deviation in the action chain is accurately recognized, and then a targeted correction instruction is provided for a user in a voice mode or an augmented reality mode and the like. A chained correction mechanism can guide correction from a biomechanical source, so that the action normalization and the training efficiency are effectively improved; meanwhile, the functions of bilateral balance evaluation, dynamic resistance adjustment and long-term stability tracking jointly form a personalized training system integrating accurate evaluation, real-time feedback and active intervention.

The utility model discloses a proprioceptive sensation and balance evaluation training device which comprises a base, a standing platform is arranged on the base, a rotating disc is rotationally arranged on the standing platform through a rotating supporting structure, and a foot pushing plate is arranged on the rotating disc in a sliding mode in the radial direction of the rotating disc. A length display structure used for displaying the distance adjustment of the foot push plate is arranged on the rotating disc, and an angle display structure used for displaying the rotating angle of the rotating disc is arranged on the base. The body feeling and balance training degree and condition can be directly evaluated and displayed, and training evaluation can be performed on footstep linear movement and rotation angle.

The invention relates to the technical field of man-machine collaboration, and discloses a man-machine collaboration die-casting workshop safety efficiency balance assessment system, which comprises the steps of collecting multi-source heterogeneous data of a die-casting workshop, performing fusion calculation to obtain a splashing risk probability and a temperature field gradient of a die, calculating an action risk index to assess a worker action risk, constructing a high-temperature anti-interference transmission framework, and performing high-temperature anti-interference transmission on the high-temperature anti-interference transmission framework. Upgrading a bidirectional interaction mechanism; feature enhancement is performed on the multi-source heterogeneous data, a worker risk index and a die-casting machine safety coefficient are obtained through analysis and calculation in the aspect of safety features, an energy efficiency feature value is obtained through analysis and calculation in the aspect of energy efficiency features, a dynamic association model is constructed, and model updating parameters are obtained through learning and calculation in combination with time sequence features; an energy consumption dimension is introduced, a three-objective optimization framework is constructed, and dynamic balance is realized through deep reinforcement learning; and a compensation injection speed is calculated through a double closed-loop control processing mechanism, energy efficiency feedback is optimized, an obtained state vector is obtained, and a dynamic balance index balance system is calculated.

This invention relates to the field of medical assistive device technology, and more particularly to a dynamic and static balance assessment and training system. The system includes a base with a training seat movably mounted inside. A single-leg progressive training mechanism is positioned above the base. The single-leg progressive training mechanism comprises two housings and two pedals. The two pedals are located on opposite sides of the training seat. Both housings are fixedly connected to the upper surface of the base, with each housing corresponding to one pedal. The housings and pedals are connected via a transmission assembly, and a linkage assembly is provided between the two housings. By incorporating the single-leg progressive training mechanism, the dynamic movement of the pedals during single-leg training can be achieved, meeting the full rehabilitation cycle needs of patients from basic bipedal training to advanced single-leg training. Simultaneously, it can accurately assess the patient's dynamic and static balance ability in a single-leg state, improving the targeting and effectiveness of rehabilitation training.

The invention provides a human body balance ability evaluation method and system based on a wearable inertial sensor, and the method comprises the steps: building a data collection environment, carrying out the data collection, including experiment preparation, sensor wearing and experiment testing, and guaranteeing the obtaining of comprehensive and reliable three-dimensional human body motion data; preprocessing the collected data, extracting characteristic parameters, optimizing the data by adopting adaptive filtering, coordinate system conversion, data fusion and error correction methods, and extracting balance capability related characteristic parameters; combining the extracted characteristic parameters with a standard balance evaluation result, constructing a balance capability evaluation model, and modeling by adopting multivariable regression analysis and a machine learning algorithm; and monitoring and evaluating the balance ability of the human body based on the constructed evaluation model. According to the invention, high-precision and portable balance capability evaluation can be realized in a daily environment.

The present application describes computer apparatus and software programs useful to the field of corrective spinal surgery. The apparatus and software implement and facilitate methods for assessing the degree of balance and alignment achieved through corrective measures applied to the spine prior to completing a surgical procedure. The apparatus and software facilitate pre-operative planning and virtual testing of the corrective measures to be applied. The apparatus and software further facilitate intra-operative reconciliation with the pre-operative plan prior to completing the surgery.

The invention belongs to the field of cerebral apoplexy rehabilitation, and particularly relates to a cerebral apoplexy rehabilitation balance testing device which comprises a bearing plate, a supporting frame, a seat, a testing mechanism and a protection mechanism, a mounting groove is formed in the side wall of the bearing plate, a supporting table is fixedly connected to the top of the bearing plate, and two placing sleeve plates are symmetrically clamped to the top of the supporting table in a sliding mode. The supporting bottom plate is fixedly connected to the bottom of the containing sleeve plate, the assembling bottom plate is fixedly connected to the bottom of the inner side of the mounting groove, the monitoring assembly is arranged between the top of the assembling bottom plate and the bottom of the supporting bottom plate, the assembling bottom plate and the supporting bottom plate are connected through the monitoring assembly, and the protection mechanism is mounted on the supporting frame. Therefore, the problems that an existing device is not provided with independent induction units for the two feet, differential pressure of the two feet is difficult to capture in real time, balance evaluation data is distorted, and a reliable basis cannot be provided for protection triggering are solved.

The invention relates to the field of human body motion detection and balance ability evaluation, and discloses a human body gravity center track estimation and balance ability detection method and device.The method comprises the steps that multi-dimensional motion data of nine-axis inertial measurement units worn on the head and the waist and multi-dimensional individual feature data of a human body are synchronously collected; embedding individual features through a self-adaptive attention mechanism, and performing deep fusion with the motion data; and inputting the fusion data into a special time convolution network model containing a differential expansion convolution structure and an adaptive activation function to realize end-to-end direct mapping from original data to three-dimensional gravity center trajectory parameters. According to the method, physical model hypothesis is abandoned, model errors are fundamentally eliminated, the calculation efficiency and the estimation precision in a dynamic scene are greatly improved, individual differences can be adaptively learned, the generalization ability is high, and the high-precision real-time balance ability detection requirement can be met.

This invention discloses a system and method for analyzing human balance based on digital video. The system includes: a human keypoint acquisition module for detecting multiple human keypoints in a single frame of the digital video; a human balance point calculation module for calculating a human balance point based on multiple human keypoints in at least two consecutive frames of the digital video; a human support zone calculation module for calculating a human support zone based on multiple human keypoints in a single frame of the digital video; and a human balance assessment module for assessing whether the human body is in a balanced state based on the human balance point and the human support zone.

A modular balance device having a platform that supports a user, a connection component coupled to the underside of the platform with a stem portion that includes one or more keyway grooves, and a set of interchangeable base portions that can be removably attached to the stem. Each base portion has a curved contacting surface that rests on the ground and an internal key that engages the stem's keyway groove to secure the base in place. The base portions differ from one another in the radius of curvature of their contacting surfaces, allowing the balance difficulty of the device to be adjusted by swapping bases.

A dynamic balance measurement and training device provides an efficient, portable, and versatile solution for dynamic balance measurement and training. Three detachable rods are arranged in a ‘Y’ shape around a main platform. A movable sliding box, guided by the patient's leg movement, is configured to move along the detachable rods. The device includes laser distance sensors for accurate, automated balance measurement, as well as a microcontroller configured to process the laser distance sensor measurements and calculate balance scores, target distances, and other relevant information. These data can be recorded and may be displayed on a built-in screen or transmitted wirelessly for further analysis and tracking. An integrated pressure sensor provides feedback to the patient or clinician, indicating when assessments should be redone due to missteps or loss of balance. The device offers an integrated solution for balance assessment and training, promoting patient engagement and improving clinical efficiency.

The present application relates to the technical field of rehabilitation medical equipment, and more particularly to a human body balance assessment device, a human body balance assessment method and device, which starts a projection device and a three-dimensional force platform in the human body balance assessment device; obtains pressure information on a standing platform through a three-dimensional force sensor, and calculates human body pressure data based on the pressure information; collects a human body contour image and a human eye image through a pose collection device, and collects a foot bottom image through a foot bottom image collection device; and performs human body balance state assessment according to at least one of the human body pressure data, the foot bottom image, the human body contour image and the human eye image, analyzes the human body balance state through multi-dimensional balance assessment, realizes comprehensive dynamic balance assessment, has higher precision, and flexibly combines mechanical parts and processing parts, and has wider applicability.

The present invention provides a spinal coronal plane balance assessment device, including a reference rod, two positioning rods and a measurement unit. The measurement unit is used to measure the distance between the reference rod and the spinous process of the C7 vertebra. Since one ends of the two positioning rods are both hinged to the reference rod at the same hinge point and form a positioning angle, and the other ends are both arranged on the back of the human body and respectively correspond to the upper edge points of the two iliac crests, and the reference rod coincides with the angular bisector of the positioning angle, so that the reference rod coincides with the perpendicular bisector of the line connecting the two iliac crest upper edge points of the human body. And the line connecting the two iliac crest upper edge points of the human body is the anterior superior iliac spine connection line. Therefore, the spinal coronal plane balance assessment device of the present invention can always stably measure the distance between the perpendicular bisector of the anterior superior iliac spine connection line and the spinous process of the C7 vertebra, and effectively evaluate the spinal coronal plane balance state through the stable measurement result of the self - contained measurement unit.

A patient monitoring and nursing method and system based on AI multi-scenario linkage is disclosed. The method includes: (1) installing monitoring terminals at the bedside, ward entrance, corridor wall, toilet wall, toilet cubicle wall and main entrance of medical institution respectively; (2) incorporating a pre-trained patient identification model, balance assessment algorithm and companion identification model, and completing patient identity confirmation, gait feature extraction, balance status quantification score, physical fitness status assessment and identification of whether there are family members accompanying the patient through real-time image data collected by the monitoring terminal; (3) triggering an alarm when the patient is detected to be out of bed and the balance score is ≤6 points, without family members accompanying the patient, appearing in the high-risk area of ​​the corridor wall / toilet wall and with an unstable gait, near the main entrance without a caregiver and without triggering the discharge registration process; (4) the monitoring terminal transmits the alarm signal, the patient's real-time location, risk level and on-site image to the server through wireless communication, and the server pushes it to the nurse's early warning terminal simultaneously.

The invention discloses a rehabilitation exercise detection system and method. A rehabilitation exercise detection system comprises a base, a supporting frame, a seat, sensors corresponding to detection parts and data processing equipment. Pressure sensors are respectively arranged on the base and the seat; the data processing equipment is in communication connection with the sensors and the pressure sensors corresponding to the detection parts; the data processing equipment is used for acquiring first detection data of each detection part of the target object in a balance detection posture and keeping duration of the target object in the balance detection posture; determining a balance evaluation result of the target object in the balance detection attitude based on the first detection data and the retention duration; the data processing equipment is further used for acquiring second detection data of each detection part and pressure data of the pressure sensor on the base or the seat in the balance training process of the target object; and generating balance training result data based on the second detection data and the pressure data, thereby realizing balance detection and training of the target object.