18 results about "Postural orientation" patented technology

The invention relates to a postural chair (1) comprising a base (10), legs (30), and a backrest (40), said base (10) defining an internal space and comprising a lower face, a front face, a rear face opposite said front face, and an upper face opposite the lower face, the base (10) comprising, at its lower face, a flat support and delimiting, on its upper face, a circular opening, said chair (1) further comprising a proprioceptive element (20) comprising a seat portion configured to receive the gluteal region of a user and a spherical cap extending partially through the circular opening, forming a space with the edge of the circular opening, and a portion of which, including the pole of the spherical cap, rests on the flat support so as to allow the spherical cap to tilt on a surface of said flat support. Figure 1

This invention discloses a method and device for dynamic blood pressure assessment based on postural transition phases. It identifies postural transitions from postural sensor data and delineates the boundaries of the preparation, transition, and stabilization phases based on individualized reflex delay compensation. It constructs an individualized blood pressure baseline curve based on phased sampling and establishes a phased reference benchmark. It detects a continuous downward trend in the blood pressure deviation sequence and applies individualized rate constraints to form a dynamic trajectory. It removes physiological periodic components using an adaptive rhythm template and determines abnormal fluctuation ranges and completes phased risk assessment based on a joint score of non-rhythmic fluctuation amplitude and duration. It integrates the risk assessment results with the individual baseline level for adaptive weighting based on postural orientation, determines differentiated warning thresholds, and outputs blood pressure change assessment results. This achieves individualized and phased-differentiated accurate assessment of blood pressure abnormalities induced by postural transitions, improving the accuracy and adaptability of orthostatic hypotension risk assessment.

An exemplary system and method are disclosed for capturing visual body signals using distance measurements among different parts of the body and for providing classification for them. The exemplary system and method can be employed to generate the classification and provide a second source of communication of the classification to supplement the visual cues provided by such body motion or positioning.

The invention discloses a rehabilitation chair integrating sitting and standing assistance and joint motion range training, and relates to the technical field of medical equipment, the rehabilitation chair comprises a base, and a bottom plate is slidably arranged on one side of the base; the adjusting assembly is assembled at the upper end of the base and used for adjusting the sitting posture and the standing posture of the patient; the movable assembly is assembled at the upper end of the bottom plate and used for carrying out flexion and extension training on knee joints of the legs of the patient; according to the rehabilitation chair integrating sitting and standing assistance and joint motion range training, the angle and height of the seat are adjusted through the adjusting assembly, a patient can complete sitting and standing conversion more naturally and more comfortably, and body discomfort or fatigue caused by improper postures is reduced; meanwhile, joint motion range training is carried out through a transition posture converted from sitting to standing, the training is closer to a real life scene, integration of neuromuscular control and functional strength is promoted, and the rehabilitation effect is better.

The media application receives a set of images including a source image and a target image. The source image and the target image include at least a subject. The media application determines whether to use one or more editors selected from the group of a head editor, a face editor, or a combination thereof. In response to determining to use the head editor, the media application generates a composite image by replacing at least a portion of head pixels associated with a target head of the subject in the target image with head pixels from the source head of the subject in the source image, and replacing neck pixels associated with the target neck and shoulder pixels associated with the target shoulders, including a region between the target head and the target torso, with interpolated regions generated from interpolation between the source image and the target image.

A kneeling sitting postural positioning device characterized in that it comprises a first cushion (1) and a second cushion (2), available one on top of the other and joined by a connecting element (3).

This application provides a method and system for gait and cognitive training adjustment for patients with cerebral small vessel disease. The method superimposes a preset cognitive task during the patient's normal walking process, simultaneously collecting gait and cognitive data under dual-task conditions to obtain dual-task data. Based on gait baseline data, cognitive baseline data, and dual-task data, a dual-task interference index is calculated. Postural control training is then performed on the patient using a balance training device. The perturbation parameters and visual feedback parameters of the balance training device are adaptively adjusted according to the dual-task interference index grading results. Within the training cycle, the dual-task walking phase is repeatedly executed at a preset retest frequency, updating the dual-task interference index and its corresponding grading results. Based on the updated grading results, the balance device training parameters for the next training cycle are dynamically adjusted. This method can suppress the influence of learning effects on training results during the dual-task training phase, improving the accuracy of the training control process for patients with cerebral small vessel disease.

Disclosed is a computer-implemented medical method of determining the position of an anatomical region of interest of a patient's body, the method comprising the following steps: a) finger model data is acquired (S11) which describes at least one model of a pose of at least one finger of a user; b) finger position data is acquired (S12) based on the finger model data and based on imaging the at least one finger, wherein the finger position data describes a position of the at least one finger at which the at least one finger points at the anatomical region of interest and wherein the finger position data is acquired by extracting, from a camera image generated by the imaging and describing the at least one finger, the position of the image representation of at least part of the at least one finger by comparing the camera image to the model of the at least one finger; c) planning image data is acquired (S13) which describes a planning external surface of the anatomical region of interest; d) anatomical region position data is determined (S14) based on the finger position data and the planning image data, wherein the anatomical region position data describes the position of the anatomical region of interest, wherein the anatomical region position data is determined by determining, based on the finger position data, an actual surface of the anatomical region of interest and comparing the actual external surface to the planning external surface, wherein the actual surface is determined by generating or represented by a point cloud of positions of the at least one finger, wherein the actual external surface is determined to be the planning external surface if the comparison between the actual external surface and the planning external surface results in that the actual external surface is similar to the planning external surface at least to a predetermined degree of similarity, wherein the finger model data describes a user-specific model of the pose which is acquired by imaging the at least one finger when it attains the pose.

The invention discloses neural rehabilitation training equipment based on a virtual reality technology, and relates to the technical field of neural rehabilitation training. The training equipment comprises supporting frames and a training equipment body, the training equipment body is installed on the outer sides of the supporting frames, telescopic frames are slidably arranged on the opposite sides of the two supporting frames, a connecting frame is fixedly connected to the top ends of the two telescopic frames, rotating shafts are rotatably arranged on the opposite sides of the two telescopic frames, and mounting frames are fixedly connected to the outer sides of the two rotating shafts; a threaded rod is rotationally arranged in the square groove, a threaded sliding block is arranged on the outer side of the threaded rod in a threaded sleeving mode, and a rotating plate is rotationally connected to the outer side of the threaded sliding block; through mutual cooperation of the threaded rod, the threaded sliding block, the rotating shaft, the rotating plate and other structures, the training equipment body can be subjected to visual angle adjustment, a bedridden patient can more conveniently perform training interaction, meanwhile, the pressure of the neck and the shoulders can be relieved through proper angle adjustment, and the patient is helped to keep a comfortable posture.

Disclosed herein is a medical instrument (100, 300). Execution of the machine executable instructions cause the processor (106) to receive (206) a set of joint position coordinates (128) for a subject (118) placed on a subject support (120), receive (207) a body orientation (132) in response to inputting the set of joint position coordinates into a predetermined logic module (130), calculate (208) a torso aspect ratio (134) from the set of joint position coordinates. If (210) the torso aspect ratio is greater than a predetermined threshold (136), then (212) the body posture of the subject is a lateral decubitus posture. Execution of the machine executable instructions further cause the processor to assign (220) the body posture as a supine posture if the torso aspect ratio is less than or equal to the predetermined threshold, if the subject is face up on the subject support, or as a prone posture if the subject is face down on the subject support. Execution of the machine executable instructions further cause the processor to generate (216) a subject posture label (142).

The invention relates to the technical field of dance treatment and intelligent rehabilitation, in particular to a dance treatment posture correction method based on deep learning. According to the method, a multi-modal sensing system is constructed, three-dimensional attitude data of a dancer is acquired by using an RGB-D visual sensor, an inertial measurement unit (IMU) and motion capture equipment, a depth attitude recognition model is established in combination with a convolutional neural network (CNN) and a time sequence long-short-term memory network (LSTM), and feature extraction and time sequence analysis are performed on dancing motions. The system evaluates the difference between the posture of the dancer and the standard dance posture in real time through the posture error calculation module, outputs vision and voice dual-mode feedback according to a correction algorithm, guides the dancer to adjust the body posture, and achieves personalized dance treatment and exercise rehabilitation. According to the method, high-precision posture correction and situation feedback can be realized under different dance types and treatment scenes, and the scientificity and the intelligent level of dance treatment are remarkably improved.

[Problem] To provide a training machine in which a back pad is locally in contact with the back, thereby making it easy to be aware of the orientation or position of the trunk via skin sensation or pressure sensation and in which a user performs postural control, thereby making it easy to maintain a trunk-extended position. [Solution] Provided is a training machine for performing training while being seated with the trunk substantially perpendicular to the floor surface, said training machine comprising a back pad which is capable of locally pressing the back in a seated state. A user performs postural control such that the back pad is always fitted to the back, thereby making it easy to maintain a trunk-extended position. Stretching of core muscles around the scapula required to exert physiologically large energy is effectively facilitated. The pad is in contact with the back, thereby making it possible to have a function such as an indicator which makes it easy to be aware of the orientation or position of the trunk via skin sensation or pressure sensation, and making it possible to further promote learning of how to use the trunk part.