106 results about "Muscle activation" patented technology

Apparatus for muscle activation, comprising: at least one electrode (138, 140, 142, 144) adapted to deliver a neuromuscular stimulation (NMES) signal to a body portion (146); at least one controller (124) adapted to provide a NMES signal comprising a sequence of stimulation signals to said at least one electrode; and a mechanical motion element (300) coupled to at least one of said body portion and a mirror body portion, wherein said mechanical motion element is operatively coupled to said at least one controller and wherein said at least one controller controls said NMES signal in conjunction with said mechanical motion element.

A MIDI-compatible gesture synthesizer is provided for use with a conventional music synthesizer to create musically realistic<DEL-S DATE="20020416" ID="DEL-S-00001" / >ally<DEL-E ID="DEL-S-00001" / > sounding gestures. The gesture synthesizer is responsive to one or more user controllable input signals, and includes several transfer function models that may be user-selected. One transfer function models properties of muscles using Hill's force-velocity equation to describe the non-linearity of muscle activation. A second transfer function models the cyclic oscillation produced by opposing effects of two force sources representing the cyclic oppositional action of muscle systems. A third transfer function emulates the response of muscles to internal electrical impulses. A fourth transfer function provides a model representing and altering virtual trajectory of gestures. A fifth transfer function models visco-elastic properties of muscle response to simulated loads. The gesture synthesizer outputs <DEL-S DATE="20020416" ID="DEL-S-00002" / >MIDI-compatible<DEL-E ID="DEL-S-00002" / > continuous pitch data, tone volume and tone timbre information. The continuous pitch data is combined with discrete pitch data provided by the discrete pitch generator within the conventional synthesizer, and the combined signal is input to a tone generator, along with the tone volume and tone timbre information. The tone generator outputs tones that are user-controllable in real time during performance of a musical gesture.

The present invention relates to a method of treating a movement disorder in a patient, the method comprising administering a medicament comprising an effective amount of chemodenervating agent to the patient, wherein the patient is subjected to a muscle stimulation therapy, for example an movement therapy or an muscle activation therapy, and the medicament is administered prior to and / or during and / or after the movement therapy and a kit for the treatment of patients suffering from movement disorders comprising a medicament comprising an effective amount of a chemodenervating agent, and a device for carrying out automated movement therapy.

Embodiments provide techniques for automating control of electronic device. A first interactive game playing within the physical environment using one or more electronic devices is detected. Embodiments collect electromyogram data from one or more electromyography sensors within the physical environment and analyze the electromyogram data collected to determine muscle activations made by the user. Upon determining that the determined muscle activations made by the user match a predefined pattern of electromyography data, embodiments determine a gameplay action corresponding to the predefined pattern of electromyography data and transmit an instruction, to at least one of the one or more electronic devices within the physical environment, instructing the electronic device to perform the determined gameplay action.

The present invention relates to a device and system to measure and assess superficial skeletal muscle mechanical and neuromuscular contractile characteristics, and interpret the results to provide metrics with quantifiable and qualitative descriptors relating to muscle function. The present device provides a further type of mechanomyography and a new use for acceleromyography by measuring the mechanical muscle movement of an involuntary stimulated muscle from an automated electro-stimulation protocol to determine muscle contractile properties. Muscle twitch response during the latent, contraction and relaxation phase is measured using an array of multiple accelerometers on a sensor pad to assess and diagnose muscle. function from various measurements. This information is processed using algorithms to determine muscle function abnormalities, muscle activation patterns, muscle symmetry of lateral muscle pairs, muscle synchronization of antagonist muscle, muscle force, muscle acceleration, muscle speed, muscle tone, muscle fatigue, muscle power / torque and muscle efficiency.

An exercise feedback system monitors the performance of athletes wearing a garment with sensors while exercising. The sensors generate physiological data such as muscle activation data, heart rate data, or data describing the athlete's movement. The system extracts features from the physiological data and compares the features with reference exercise data to determine metrics of performance and biofeedback. Based on the physiological data, the system may also modify exercise training programs for the athlete. The exercise feedback system can display the biofeedback using visuals or audio, as well as modified exercise training programs, via the athlete's client device in real time while the athlete is exercising. By reviewing the biofeedback, the athlete may correct the athlete's exercise form to properly use the target muscles for the exercise, or change the certain workouts to personalize the training program.

An apparatus for muscle activation includes least one electrode adapted to deliver a neuromuscular stimulation (NMES) signal to a body portion. A controller provides a NMES signal comprising a sequence of stimulation signals to the electrode. A mechanical motion element coupled to the body portion and a mirror body portion is operatively coupled to the controller. The controller controls the NMES signal in conjunction with the mechanical motion element.

A system and method for animating a character with activation-driven muscle deformation. External loads can be estimated through an iterative joint torque estimation process, and the external loads reflected in a physical model. Kinematic motion and the physical model reflecting external loads can be used to estimate joint torques. Muscle activations can be determined from the joint torques, and a character can be animated with muscle deformation responsive to the muscle activations.

A system and method for animating a character with activation-driven muscle deformation. External loads can be estimated through an iterative joint torque estimation process, and the external loads reflected in a physical model. Kinematic motion and the physical model reflecting external loads can be used to estimate joint torques. Muscle activations can be determined from the joint torques, and a character can be animated with muscle deformation responsive to the muscle activations.

The invention discloses a commercial vehicle ride comfort assessment method based on electromyography measurement. The commercial vehicle ride comfort assessment method comprises the following steps: selecting main power-generating muscle of the upper and lower limbs of the bodies (in the getting on or off process) of tested persons as the candidate measurement muscle groups, and measuring the activation state of each piece of tested muscle of the candidate measurement muscle group of each tested person by adopting an electromyography measurement system of a multichannel physiological recorder; counting the activation degree of each piece of tested muscle of each tested person, thus obtaining the muscle activation degree average value of each piece of tested muscle; selecting the main muscle group of each tested person according to the muscle activation degree average value of each piece of tested muscle; setting the weight of the selected main muscle group; and determining the commercial vehicle ride comfort assessment function according to the weight. The method is convenient to operate, can quantify the index of the ride performance of the commercial vehicle, is low in cost, and is high in efficiency.

Embodiments provide techniques for automating control of electronic device. A first interactive game playing within the physical environment using one or more electronic devices is detected. Embodiments collect electromyogram data from one or more electromyography sensors within the physical environment and analyze the electromyogram data collected to determine muscle activations made by the user. Upon determining that the determined muscle activations made by the user match a predefined pattern of electromyography data, embodiments determine a gameplay action corresponding to the predefined pattern of electromyography data and transmit an instruction, to at least one of the one or more electronic devices within the physical environment, instructing the electronic device to perform the determined gameplay action.

Local swing leg control was developed that takes advantage of segment interactions to achieve robust leg placement under large disturbances while generating trajectories and joint torque patterns similar to those observed in human walking and running. The results suggest the identified control as a powerful alternative to existing swing leg controls in humanoid and rehabilitation robotics. Alternatively, a detailed neuromuscular model of the human swing leg was developed to embody the control with local muscle reflexes. The resulting reflex control robustly places the swing leg into a wide range of landing points observed in human walking and running, and it generates similar patterns of joint torques and muscle activations. The results suggest an alternative to existing swing leg controls in humanoid and rehabilitation robotics which does not require central processing.

An exercise feedback system monitors the performance of athletes wearing a garment with sensors while exercising. The sensors generate physiological data such as muscle activation data, heart rate data, or data describing the athlete's movement. The system extracts features from the physiological data and compares the features with reference exercise data to determine metrics of performance and biofeedback. Based on the physiological data, the system may also modify exercise training programs for the athlete. The exercise feedback system can display the biofeedback using visuals or audio, as well as modified exercise training programs, via the athlete's client device in real time while the athlete is exercising. By reviewing the biofeedback, the athlete may correct the athlete's exercise form to properly use the target muscles for the exercise, or change the certain workouts to personalize the training program.

A system for monitoring muscle activity of a biological subject, the system including at least one garment including a number of arrays of electrodes positioned on the garment so that when the garment is worn by a subject in use, the electrodes contact skin of the subject and generate electrical signals indicative of electrical potentials within respective muscles of the subject and at least one electronic processing device that processes signals from the electrodes in each electrode array to determine a muscle activation for parts of the respective muscles and uses the muscle activation to determine at least one muscle indicator indicative of muscle activity of the subject.

The invention discloses a detection method of a four-limb surface myoelectric axis. The detection method comprises the steps of determining the placing position of each electrode according to a determined limb plane and properly fixing each electrode; enabling each electrode to obtain a myoelectric signal with the vector direction according to the position and then calculating the myoelectric axisvector of the plane; constructing myoelectric vectors of multiple planes according to the myoelectric vector of each plane and therefore reconstructing and analyzing muscle activation and unbalance conditions of the upper limbs and the lower limbs on the 3D space axis and time axis. By means of the detection method of the four-limb surface myoelectric axis, the muscle activation and unbalance conditions of the upper limbs and the lower limbs can be reconstructed and analyzed on the 3D space axis and time axis, and an objective detection index is provided for muscle unbalance activation causedby clinical diseases or aging, disusing or the like.

The invention discloses a silent speech recognition method based on face and neck surface electromyography, and the method comprises the steps: carrying out the data preprocessing and feature extraction of surface electromyography signals collected by a high-density electrode array and discrete electrodes, obtaining a high-density sEMG image set and a channel sparse sEMG image set, and constructing a source domain database and a target domain database; then training the word classification deep neural network by using the source domain database, and completing the calibration of the network in the target domain database by using transfer learning; and if the test user expresses the words silently under the input of the discrete electrodes, wherein the calibrated network can complete word classification and realize silent speech recognition. According to the invention, the capability of capturing abundant muscle activation mode information of a high-density electrode array and the portability and easiness in wearing of discrete electrodes are considered, certain robustness is provided for slight electrode offset and cross-user conditions, and the performance of silent speech recognition under discrete electrode input is improved; and a new thought is provided for the silent speech recognition method.

The invention discloses a method for recognizing upper limb and hand rehabilitation training action of a stroke patient. The method comprises the following steps: performing blind source separation onelectromyographic signal data by using a non-negative matrix factorization model, and removing non-stationary muscle activation information to obtain a stable time-varying blind source separation result; performing further pattern recognition by using the factorized time-varying blind source separation result data to improve the stability and accuracy of recognition; and making learning featuresmaintain time and space characteristics at the same time through a CNN-RNN model. The CNN-RNN model does not require manual data feature extraction and screening, directly processes the data, automatically extracts the features and completes classification recognition, can realize end-to-end rehabilitation training action recognition analysis, and is combined with an attention layer for attentionweighting of a hidden state of a second layer in a two-layer two-way GRU layer to give a greater weight to data with a greater contribution degree, so that the data can play a greater role, and the accuracy of classification recognition is further improved.

There is provided an orthotic configured for muscle imbalance correction. The orthotic has a strapping configured for physically activating an undercompensating muscle group by physically pulling substantially in-line with muscle fibres of the undercompensating muscle group to assist muscle activation and physically deactivating an overcompensating muscle group by physically pulling and therefore compressing across muscle fibres of the overcompensating muscle group to provide muscle resistance. Examples of the undercompensating muscle group are at least one of the gluteus maximus, medius, and minimus, vastus medialis and vastus medialis oblique. Examples of the overcompensating muscle group are at least one of the tensor fascia latae and iliopsoas.

An offset weight bar is provided which operates with the lifter's neuro-fascial connections to increase muscle activation and recruitment of muscle groups. The offset weight bar includes a grip portion that is shaped in accordance with the meuro-fascial connections in the lifter's hands and arms. The offset weight bar also offsets the weight of the bar from the lifter's palm to a point out along the lifter's unfolded fingers. The shape of the offset weight bar operates with the offset of the weight from the palm to increase the lifter's muscle activation and muscle group recruitment in accordance with the lifter's neuro-fascial physiology.

The present disclosure describes devices, methods and systems for modifying or altering gait kinematics via sensory augmentation and / or modifying muscle activation patterns via augmented motor learning to slow the progression of and / or reduce the pain associated with knee OA, particularly during gait (e.g., walking, running, stair climbing, etc.). Sensors can be used to measure gait parameters andcharacteristics and muscle activation patterns. Stimulation can be provided to the individual in order to promote learning new gait kinematics and muscle activation patterns.

An impact alert system and method for reducing personal injury at vehicle impact, include at least one sensor arrangement adapted to monitor the surroundings of a vehicle, and to generate surrounding signals dependent thereon, a control unit adapted to receive the surrounding signals, and to evaluate the signals in order to predict an impact situation depending on the signals: The control unit is further adapted to, provided that an impact situation is predicted, determine the impact situation depending on the signals, and to determine an optimal muscle activation for an occupant for the impact situation, whereby the system is adapted to make an occupant in vehicle start achieve the optimal muscle activation before the impact situation.

A robotic system includes a robot adapted for moving a payload in proportional response to an input force from an operator, sensors adapted for measuring a predetermined set of operator input values, including the input force, and a controller. The controller determines a changing stiffness value of the operator using set of operator input values, and automatically adjusts a level of control sensitivity over the robot using the stiffness value. The input values include the input force, a muscle activation level of the operator, and a position of the operator. A method of controlling the robot includes measuring the operator input values using the plurality of sensors, processing the input values using the controller to thereby calculate the stiffness value, and automatically adjusting the level of control sensitivity over the robot using the stiffness value. A specific operator may be identified, with control sensitivity being adjusted based on the identity.

Systems and methods for treating a patient having symptoms of restless legs syndrome (RLS) or Periodic Limb Movement Disorder (PLMD) using high-frequency stimulation by applying a high-frequency pulsed electrostimulation therapy signal to a peroneal nerve or a branch thereof, where the therapy signal is above a motor threshold of a muscle innervated by the peroneal nerve or branch thereof. Surface EMG (sEMG) response to neurostimulation can be used to evaluate patient responsivity to neurostimulation, or to evaluate neurostimulation efficacy, such as to compare various neurostimulation parameter settings and to select between such settings to meet or balance between one or more goals. The sEMG response can be obtained with the muscle at rest, or during muscle activation.

Local swing leg control was developed that takes advantage of segment interactions to achieve robust leg placement under large disturbances while generating trajectories and joint torque patterns similar to those observed in human walking and running. The results suggest the identified control as a powerful alternative to existing swing leg controls in humanoid and rehabilitation robotics. Alternatively, a detailed neuromuscular model of the human swing leg was developed to embody the control with local muscle reflexes. The resulting reflex control robustly places the swing leg into a wide range of landing points observed in human walking and running, and it generates similar patterns of joint torques and muscle activations. The results suggest an alternative to existing swing leg controls in humanoid and rehabilitation robotics which does not require central processing.

A muscle activation system including: an inclined platform for a user to stand on; a rigid upper body user support frame attached to the inclined platform for supporting the upper body of a user standing on the inclined platform; a base, coupled to the inclined platform, the coupling allowing relative orientation motion between the base and inclined platform. The platform adapted to undergo a precession like motion around a central point so as to circumferentially move a user's upper body, when supported by the rigid upper body user support frame, substantially through an arc around a central point.

A therapeutic real time muscle proprioception posture correcting bra and method of manufacture thereof in the posture re-balance, shoulder and spine muscle rebalance, posture correction, occupation risk prevention, anti-aging, and athletic enhancement space. A bra that is uniquely designed, manufactured and fabric woven for proprioceptive posture rebalance, correction and athletic enhancement that allows for breathability, functionality, range of motion, and fashionability. The therapeutic posture correcting bra is uniquely designed and narrows the distance between shoulder blades from proprioceptive muscle retraction at least 5 mm secondarily providing shoulder and spine muscle activation and relaxation for improved physical wellness.