34 results about "Biceps brachii muscle" patented technology

A biceps curl machine includes: a resistance element; a user support; a first movement element comprising: a first column; and a first connecting element comprising a first pivot point such that the user support is able to pivot about a first axis associated with the first connecting element, wherein the first connecting element is movably coupled to the first column such that the first connecting element is able to move along a first path defined by the first column; and a second movement element comprising: a second column; and a second connecting element comprising a second pivot point such that the user support is able to pivot about a second axis associated with the second connecting element, wherein the second connecting element is movably coupled to the second column such that the second connecting element is able to move along a second path defined by the second column.

The invention discloses an obesity prediction system based on a BP neural network, and the system comprises a data collection module which collects the fat thickness of the biceps brachii muscle and abdomen of a testee through a diasonograph, and obtains the testee physique information corresponding to the fat thickness; an influence factor screening module which constructs a BP neural network, takes a training set and a reference set constructed by the fat thickness and the testee physique information as input, obtains the weight of each index in the training set and the reference set by adopting a back propagation method, and screens the indexes to obtain obesity influence factors; and a model construction and prediction module which carries out weighted reconstruction on the obesity influence factors, constructs a fat thickness prediction model, carries out fat thickness prediction on the obtained to-be-measured data, and obtains an obesity prediction result according to comparisonof a fat thickness prediction value and a fat thickness threshold. The relationship between the indexes and obesity is clearly indicated, the influence degree of each influence factor on the prediction result can be obtained, and the prediction accuracy is improved.

The invention relates to a wearable intelligent armband for muscle exercise monitoring and a muscle movement state monitoring method. A triceps sensor and a biceps sensor of the intelligent armband are connected to a wireless synchronous trigger device, and the triceps sensor and the biceps sensor are connected to a microprocessor, a microprocessor is coupled to an alarm device, the triceps sensorand the biceps sensor are placed on the surface of an annular elastic band, and the biceps sensor is located at the biceps of the arm, the triceps sensor is located at the triceps of the arm, and theannular elastic band is woven by the longitudinal elastic knitted fabric and the transverse elastic knitted fabric, the elasticity of the longitudinal elastic knitted fabric is greater than the elasticity of the transverse elastic knitted fabric, and the triceps sensor and the biceps sensor consist of a flexible force/position sensor and a three-axis acceleration sensor. The method shortens the detection time by automatic data acquisition and processing, and realizes the convenient and rapid monitoring of the upper arm muscle movement state.

The invention relates to the field of fitness equipment, in particular to multifunctional physical fitness equipment. The equipment comprises a base, and two stand columns are vertically arranged on the upper surface of one end of the base in a bilateral symmetry mode; a cross beam is arranged between the tops of the two stand columns, and a pull-up rod is arranged on the outer side of the cross beam. A plurality of fixing through holes are evenly distributed in the surfaces of the two stand columns in the height direction of the two stand columns, brackets are movably arranged on the two stand columns, and barbell rods are arranged on the brackets. The two stand columns are vertically arranged on the upper surface of one end of the base in a bilateral symmetry mode, a cross beam is arranged between the tops of the two stand columns, and pull-up rods are arranged on the outer side of the cross beam, so pull-up exercise can be carried out, latissimus dorsi and biceps brachii are exercised, and a training effect on many small muscle groups and forearm muscle groups around shoulder blades is also achieved. Barbell removing exercise can be conducted by placing barbell pieces at the twoends of the barbell rod, then upper limb muscles and waist and abdomen muscles are exercised, and the barbell is suitable for wide popularization.

The invention discloses physical exercise equipment for biceps brachii. The physical exercise equipment belongs to the technical field of sports equipment, and comprises a base, wherein grounding bases are integrally formed at the four corners of the base; a stand column A and a stand column B are integrally formed at the top part of the base; adjusting grooves are formed in the opposite sides ofthe stand column A and the stand column B in a concave mode; a grip is inserted into each adjusting groove in a sliding manner; protruding rods are fixedly connected to the opposite ends of the two grips; handles are connected to the two protruding rods in a threaded and sleeving mode; the two handles are fixedly connected by means of a connecting rod; adjusting motors are fixedly mounted at the top parts of the stand column A and the stand column B correspondingly; the driving ends of the adjusting motors extend into the adjusting grooves and are fixedly connected with adjusting rods; and thebottom ends of the adjusting rods are rotationally connected to the inner walls of the adjusting grooves. The physical exercise equipment solves the problems that existing biceps brachii physical exercise equipment is single in exercise mode and the exercise intensity cannot be adjusted, and has the advantage of being convenient to use.

The invention relates to a joint motion estimation method based on a myoelectricity and myotone model and unscented particle filtering. The method comprises the following steps: firstly, acquiring surface myoelectricity and muscle sound signals of biceps brachii muscle, triceps brachii muscle, radial brachii muscle, trapezius muscle, adductor muscle, anterior deltoid muscle, lateral deltoid muscleand pectoralis major muscle of an upper limb shoulder joint and an elbow joint of a human body in a synchronous continuous motion state, and respectively performing band-pass filtering processing; then, extracting Wilson amplitude and fuzzy entropy features of the surface myoelectricity and myotone signals; combining the physiological muscle model and joint kinematics through parameter substitution and simplification to form a joint motion model, and forming a measurement equation by using the extracted features to serve as feedback of the joint motion model to obtain a myoelectricity myotonestate space model; and finally, estimating the synchronous continuous motion of the shoulder joint and the elbow joint through an unscented particle filter algorithm. Compared with a traditional multi-joint synchronous continuous motion estimation method, the method has the advantage that the prediction precision and the real-time performance are obviously improved.

The invention discloses indoor upper-limb hand rehabilitation training equipment which comprises a mounting plate and a seat, wherein the seat is arranged on the mounting plate, a mounting table is mounted on the mounting plate and located behind the seat, and a swing structure and a stretching structure are mounted on the mounting table. The indoor upper-limb hand rehabilitation training equipment has the beneficial effects that arms of a patient are driven by the swing structure to perform chest expanding swing motion and forearm swing motion, the stretching structure is matched to perform stretching motion of hand big arm muscles, biceps brachii muscles and triceps brachii muscles are exercised, vertical stretching of the arm is performed, the motion mode of the arms is increased, bloodcirculation is promoted, and muscle memory is improved, so that arms of the patient can increase strength, the upper limb rehabilitation effect is achieved, and the indoor upper-limb hand rehabilitation training equipment is convenient to use.

The invention discloses a static surface electromyogram (sEMG) decomposition method. Aiming at the problem that a traditional sEMG decomposition method based on blind source separation cannot extract a small motion unit (MU), the method adopts a mode of combining multiple strategies to decompose the MU. The method comprises the following steps: firstly, acquiring an electric signal of biceps brachii muscle of a subject by adopting myoelectricity acquisition equipment, and performing preprocessing and channel expansion; and then the large MU is accurately decomposed through cyclic CKC, and the small MU is decomposed by combining an improved cyclic CKC method with a strict iteration strategy (Post-Processor) and a stripping strategy. Compared with the prior art, the method has the advantages that the decomposition yield and the decomposition precision of the MU are greatly improved, a good decomposition result can be obtained in a high-noise environment, and the robustness is high.

The hand exercise device comprises a chair, the chair comprises a seat plate and a back plate located on one side of the upper portion of the seat plate, arm exercise assemblies are symmetrically arranged on the two sides of the back plate, the arm exercise assemblies are located above the seat plate, and each arm exercise assembly comprises an upper arm assembly and a lower arm assembly. One side of the upper arm assembly is rotationally connected with a front arm assembly through a first rotating shaft, the side, away from the upper arm assembly, of the front arm assembly is rotationally connected with a hand assembly through a second rotating shaft, the front arm assembly comprises an extrusion assembly used for intermittently extruding a front arm muscle group, and the front arm assembly is matched with an upper arm assembly support. According to the arm bending device, the arm can be driven to bend, so that the biceps brachii muscle contracts, the extruding assembly extrudes the biceps brachii muscle, the hand assembly comprises a grabbing assembly used for being grabbed by the palm, the effect of exercising the arm muscle is achieved, the situation of myasthenia of old people is further relieved, and family and social burdens are reduced.

The invention provides a robot control method based on a Bayesian classifier. The robot control method comprises the steps that surface electromyography signals generated by arm movement are collected, and the collected surface electromyography signals generated by arm movement are subjected to amplification filtering preprocessing; the preprocessed surface electromyography signals generated by arm movement are divided into a training set and a testing set; the characteristics of the surface electromyography signals of the training set and the testing set are obtained; according to the characteristics of the surface electromyography signals of the training set, the prior probability of the characteristics of the surface electromyography signals of the training set is obtained; and the Bayesian classifier is utilized for conducting movement mode classification on arm movement. According to the robot control method, aiming at the characteristics of the surface electromyography signals, asurface electromyography signal collecting scheme is designed, the surface electromyography signals amplified by 240 times are obtained, and the randomness of the surface electromyography signals isreduced. On the basis of analyzing the corresponding relation between upper limb movement and related muscles, the biceps brachii and the triceps brachii of the upper limb on the right side are determined as the collecting positions of the two-channel surface electromyography signals, and the surface electromyography signals with good consistency are obtained.

The invention discloses a portable exercise device for exercising arm muscles, particularly biceps brachii muscles, relates to the technical field of exercise equipment, and mainly aims at solving the problem that an existing exercise device for exercising biceps brachii muscles is inconvenient to use. The device comprises a bearing mechanism, rotating mechanisms and an elastic rope group. The rotating mechanisms are located at the two ends of the bearing mechanism and comprise handles, rotating shafts and short rods, the centers of the handles are connected to the bearing mechanism through the rotating shafts, the short rods are connected to the two ends of the handles, and the two ends of the elastic rope group are connected to one ends of the short rods at the two ends of the bearing mechanism respectively. The two hands or the backs of the two hands upwards grasp the handle in the rotating mechanism, and the wrist is forcibly rotated anticlockwise or clockwise till that the wrist cannot rotate so that the purpose of training the upper arm muscle groups such as the biceps brachii or the triceps brachii is achieved, and the device has the characteristics of simple structure and convenience in use; and the problem that an existing exercising device used for exercising biceps brachii muscles is inconvenient to use is solved.

The invention discloses an exoskeleton robot power-assisted control system and method based on the fusion of myoelectric signals and inertial navigation signals, including: a sensor detection module used to detect the myoelectric signals of the biceps brachii of the upper limb of the human body and the movement of the human arm during the movement process. Attitude data; data acquisition and processing module, including real-time motion control system, analog signal output module, real-time motion control system obtains the current joint torque estimation value in real time through the torque estimation strategy based on electromyography The PID position control is carried out by the power control strategy based on the fusion of guide signals; finally, the power effect is quantitatively analyzed and measured based on the power effect evaluation module. The present invention uses a power-assisted control strategy based on the fusion of EMG signals and inertial navigation signals, which can output continuous control signals. more precise.

The invention provides a horizontal shoulder massaging machine, which belongs to the technical field of massaging instruments, and aims to improve the massaging effect of shoulders. The horizontal shoulder massaging machine comprises a lower shell, an upper shell and an elliptical frame, the two ends of the elliptical frame are fixed to the side walls of the two lower shells. The upper shell is arranged above the lower shell; hole cavities are formed in the lower shell and the upper shell; an electric telescopic rod is fixed to the inner wall of the lower shell, the output shaft end of the electric telescopic rod is fixed to the inner wall of the upper shell, a soft cushion is fixed to the inner wall of the lower shell, a cavity is formed in the upper shell, a first massage mechanism and asecond massage mechanism are arranged in the cavity, and a leather cushion is fixed to the inner wall of the upper shell. According to the horizontal shoulder massaging machine, through the cooperative use of the first massage mechanism and a supporting abutting block, biceps brachii muscle tendons at the neck and shoulders can be extruded and massaged, the aching pain of the biceps brachii muscle tendons is relieved, the massage purpose is achieved, and the comfort degree of a human body is improved.

The invention relates to the technical field of medical instruments, in particular to a sitting type chest and back rehabilitation training machine which comprises a bottom frame of an arc-shaped structure, a rear bottom beam is welded to one end of the bottom frame, and a front bottom beam distributed in a T-shaped structure is welded to the outer wall of the bottom of the other end, away from the rear bottom beam, of the bottom frame. A seat cushion is installed on the top outer wall, close to the front bottom beam, of the bottom frame through bolts, a backrest frame is welded to the center, close to the top outer wall of the seat cushion, of the bottom frame, a back cushion is installed outside the backrest frame through bolts, a headrest is arranged in the center of the top of the back cushion, and a first lug is welded to the bottom outer wall of the end, close to the rear bottom beam, of the bottom frame. The device has the advantages that the main function is designed for rehabilitation training for recovering chest and back muscle strength of a patient, muscle groups capable of being trained comprise anterior triceps muscle, pectoralis major muscle, triceps brachii muscle, latissimus dorsi muscle, biceps brachii muscle and the like, the device is simple in structure and convenient to use, the whole device is streamlined, the device conforms to human engineering, and the appearance is elegant and simple.