7 results about "Muscular Contractions" patented technology

The invention belongs to the technical field of robots, and particularly relates to an upper limb exoskeleton power-assisted robot simulating muscle contraction movement and a control method.The upper limb exoskeleton power-assisted robot simulating muscle contraction movement comprises a muscle contraction mechanism used for simulating biceps brachii and triceps brachii; the muscle contraction mechanism comprises a rotating wheel coaxially installed with the forearm mechanism, a sliding assembly installed on the inner side of the first fixing bottom plate, a sliding frame installed on the sliding assembly and an electric push rod installed on the outer side of the first fixing bottom plate. The first brachial biceps muscle imitating driving rope is used for driving the rotating wheel to rotate forwards; and the second brachial triceps muscle imitating driving rope is used for driving the rotating wheel to rotate backwards. The electric push rod drives the sliding frame to slide on the sliding assembly, so that the first driving rope and the second driving rope alternately contract and extend, the movement law of human joints is simulated, the contraction law of human biceps brachii and triceps brachii is also simulated, and high-quality and flexible assistance to the human body is achieved.

The utility model relates to the technical field of biomedicine teaching experiment equipment, in particular to muscle contraction stimulation equipment convenient to observe. The utility model provides a muscle contraction stimulation device convenient for observation, which can amplify an experiment area through a lens, is convenient for students to carry out careful observation, and improves the teaching effect of a muscle contraction stimulation experiment. Muscle contraction stimulation equipment facilitating observation comprises an operation box, transparent plates, sliding grooves, lenses and the like, the transparent plates are connected to the left portion and the right portion of the rear portion of the operation box, the sliding grooves are connected to the left side and the right side of the rear portion of the operation box, and the lenses are connected into the sliding grooves in a sliding mode. According to the utility model, the frog legs are pressed on the operation panel for an electrified stimulation experiment, the lens is adjusted to slide in the chute, and the experiment area is amplified through the lens, so that the effects that the experiment area can be amplified through the lens, students can carry out careful observation conveniently, and the teaching effect of the muscle contraction stimulation experiment is improved are achieved.

The application discloses a real-time analysis system and method for muscle activity based on electromyographic signals, and relates to the technical field of electromyographic signals, and comprises the following steps: calling signal acquisition records of user project training, extracting corresponding sampling frequencies, and obtaining target sampling frequencies; collecting electromyographic data of muscle contraction completed by the user; decomposing the training project into a plurality of training actions, obtaining a reference vector set of each limb, and obtaining an effective time period of each training action; dividing the effective time period into a plurality of time windows, establishing a time domain function corresponding to the effective time period, and obtaining a target time length of each training action; acquiring a training action at the current training time, evaluating abnormal conditions of the training action, and giving early warning and prompt to relevant instructors. The application analyzes historical signal acquisition records in combination with multi-dimensional characteristics, monitors abnormal behaviors in the project training process in real time, gives early warning and prompt to instructors in a timely manner, and is helpful to reduce the risk of muscle injury of the user.

The invention is suitable for the technical field of meat processing, and provides an intelligent generation method and system for a slitting path of meat with bones, and the method comprises the steps: collecting three-dimensional point cloud, component distribution and meat block state data of the surface of meat with bones; constructing a three-dimensional skeleton model and a muscle contraction model; determining an obstacle avoidance area based on the skeleton model, and planning an initial slitting path in combination with the muscle fiber direction; and simulating a deformation process after cutting by using a muscle contraction model, adjusting path parameters according to expected displacement and shape change, and generating a final target slitting path. According to the method, meat block deformation caused by cutting can be accurately predicted and compensated, the slitting precision and finished product consistency are improved, and the method is suitable for an automatic meat processing system.

The invention provides a physiological and biochemical signal detection system based on a biosensor, and relates to the technical field of biosensors, and the system comprises a historical data module which is used for obtaining a historical sample motion image, a historical muscle contraction signal and a historical electromyographic signal; the historical feature module is used for determining a historical contraction signal feature vector and a historical electromyographic signal feature vector; the model data module is used for obtaining historical training generation images and historical training generation information; the loss function module is used for obtaining a training loss function of the signal analysis model; the model training module is used for obtaining a trained signal analysis model; the real-time signal module is used for acquiring a muscle contraction signal and an electromyographic signal at a set position; the real-time data module is used for acquiring a real-time training generation image and real-time training generation information; and the detection report module is used for generating a detection report. According to the invention, the real-time performance and accuracy of physiological and biochemical signal detection can be improved.

The invention discloses a muscle activity real-time analysis system and method based on electromyographic signals, and relates to the technical field of electromyographic signals, and the method comprises the steps: calling a signal collection record of user project training, extracting a corresponding sampling frequency, and obtaining a target sampling frequency; acquiring myoelectricity data of the user completing muscle contraction; decomposing the training item into a plurality of training actions, obtaining a reference vector set of each limb, and obtaining an effective time period of each training action; dividing the effective time period into a plurality of time windows, establishing a time domain function corresponding to the effective time period, and obtaining a target duration of each training action; training actions during current training are obtained, the abnormal conditions of the training actions are evaluated, and early warning prompt is given to related guidance personnel. According to the method, historical signal acquisition records are combined with multi-dimensional features for analysis, abnormal behaviors in the project training process are monitored in real time, early warning prompt is given to guidance personnel in time, and the muscle injury risk of the user can be reduced.

An example method of detecting speech includes receiving signals from one or more sensors of a wearable device worn by a user. The one or more sensors are configured to contact the head or face of the user and to detect at least one of the muscle contractions or vibrations associated with articulatory activity by the user. The method also includes determining speech corresponding to articulatory activity by the user based on the signals from the one or more sensors. For example, a user wearing smart glasses may silently mouth a command without producing audible sound, and the smart glasses may determine the speech based on muscle contractions and / or vibrations associated with the user's articulatory activity.