149 results about "Muscle movement" patented technology

Methods and systems for evaluating a pathological condition include acquiring movement information, such as electromyogram (EMG) information, and sleep disordered breathing (SDB) information, and detecting the presence of a pathological condition using both movement and SDB information. Methods may involve sensing physiological signals including at least muscle movement signals. Sleep-related disorders are detected using the sensed physiological signals, the sleep-related disorders including at least an involuntary muscle movement disorder and sleep-disordered breathing. Methods and systems also provide for detecting and treating a sleep-related disorder using movement and SDB information. Cardiac, respiratory, nerve stimulation, drug, or a combination of such therapies may be delivered to treat a detected or diagnosed pathological condition.

A system and method that facilitates stimulating neural pathways, e.g., muscles and / or associated nerves, of a patient's body for the purpose of therapeutic medical treatment by rehabilitating weakened muscles and using neuroplasticity to retrain sequential muscle movements and / or to provide the ability to directly deliver functional motor movements. Use of the present invention is of particular value for treating a patient following a stroke. More particularly, such systems are characterized by a plurality of discrete devices, preferably battery powered but may alternatively include RF-powered devices as well or in combination, configured for implanting within a patient's body via injection, each device being configured to affect a parameter, e.g., via nerve and / or muscle stimulation and / or to sense a body parameter, e.g., temperature, O2 content, physical position, electrical potential, etc., that operate under control of a system controller that coordinates the sequential stimulation via wireless commands to the implanted devices.

A system for three-dimensional (3-D) facial animation, including a base 3-D surface model representing a human face, and a set of displacement fields representing surface motion patterns associated with muscle movements. Each displacement field is a displacement vector varying over vertices of the base surface model and an intensity variable. Both the base surface model and displacement fields are acquired from a live subject by 3-D acquisition. The data are acquired using a surface acquisition system, capable of measuring the coordinates of a set of points on the subject's face and reconstructing the facial surface as a surface model. The base surface model is acquired by reconstructing the surface of the subject's face in the neutral pose. Each displacement field is acquired by reconstructing the surface of the subject's face in a series of poses of a muscle movement at increasing intensities. This results in a sequence of surface models exhibiting the changing shape of the face over the progress of the muscle movement. The displacement field is derived by calculating displacements at each selected intensity value and then interpolating over the known displacements.

A motion tracking system enables faithful capture of subtle facial and eye motion using a surface electromyography (EMG) detection method to detect muscle movements and an electrooculogram (EOG) detection method to detect eye movements. Signals corresponding to the detected muscle and eye movements are used to control an animated character to exhibit the same movements performed by a performer. An embodiment of the motion tracking animation system comprises a plurality of pairs of EMG electrodes adapted to be affixed to a skin surface of a performer at plural locations corresponding to respective muscles, and a processor operatively coupled to the plurality of pairs of EMG electrodes. The processor includes programming instructions to perform the functions of acquiring EMG data from the plurality of pairs of EMG electrodes. The EMG data comprises electrical signals corresponding to muscle movements of the performer during a performance. The programming instructions further include processing the EMG data to provide a digital model of the muscle movements, and mapping the digital model onto an animated character. In another embodiment of the invention, a plurality of pairs of EOG electrodes are adapted to be affixed to the skin surface of the performer at locations adjacent to the performer's eyes. The processor is operatively coupled to the plurality of pairs of EOG electrodes and further includes programming instructions to perform the functions of acquiring EOG data from the plurality of pairs of EOG electrodes. The EOG data comprises electrical signals corresponding to eye movements of the performer during a performance. The programming instructions further provide processing of the EOG data and mapping of the processed EOG data onto the animated character. As a result, the animated character will exhibit the same muscle and eye movements as the performer.

A system and method for stabilizing unintentional muscle movements are disclosed. In a first aspect, a non-contact sensing system comprises a stabilization unit, at least one non-contact position sensor coupled to the stabilization unit, and a processing unit coupled to the at least one non-contact position sensor, wherein the processing unit transmits motion commands to the stabilization unit to cancel unintentional muscle movements. In a second aspect, the method comprises a processing unit of a non-contact sensing system receiving position data of a stabilization unit that is detected by at least one non-contact position sensor and filtering the position data to identify the unintentional muscle movements. The method includes modeling the position data to create a system model and determining motor commands based upon the system model to cancel the unintentional muscle movements.

Embodiments of the present invention provide a distributed computer system and a method for determining the quality of sleep of a sleeping user 340. The distributed computer system will determine the quality of sleep by detecting the changes in body posture of the sleeping user 340. The quality of sleep will be determined by the feature vectors associated with each posture of the sleeping user 340. The posture of the user will be determined by recording a body motion signal 200 caused by the mechanical and muscle movements of the body of the user.

A handheld device for canceling unintentional muscle movement. The device includes a base comprising a handgrip for a user to hold, a gripping element linked to the base for releasably connecting the handheld device to an object, a sensor that detects movement of the base, a controller linked to the sensor, and at least one actuator that operates under control of the controller to cause movement of the gripping element in a direction that at least partially counteracts the detected movement of the base.

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 accommodative intraocular lens (IOL) system is disclosed for insertion into an eye to provide accommodative vision, the system including a deformable air chamber filled with a transparent, low refractive index medium disposed between the first and second optics; and at least one haptic connected to the air chamber and configured to facilitate a change in the curvature of at least one surface of the chamber, such that when the lens system is positioned in an eye, cilliary muscle movements can alter the curvature of the air chamber and vary the overall lens power of the system.

The disclosed aerodynamic muscle motion simulation control platform comprises: three very same pieces of aerodynamic muscles connected to a central post and a fixed platform, a motion platform hinged to the muscles with uniform-distributed hinge points, and the central post to rigid connect with the fixed platform and hinge the motion platform through a central ball hinge with the hinge point on platform center to endow the motion platform two rotation DOF. Besides, the control system comprises an input conversion module, a controller, and an output drive amplification module. This invention is fit to different motion simulation.

A system and method for stabilizing a position of an object are disclosed. The system comprises a housing that includes a subsystem. The system also includes an attachment arm coupled to the housing. At least one first sensor is placed along the attachment arm, wherein the attachment arm is configured to receive the object thereto. In response to an unintentional muscle movement by a user that adversely affects the motion of the object, the subsystem stabilizes the position of the object. The method comprises providing a subsystem within a housing and coupling an attachment arm to the housing. The method also includes placing at least one first sensor along the attachment arm, wherein the attachment arm is configured to receive the object thereto. In response to an unintentional muscle movement by a user that adversely affects the motion of the object, the subsystem stabilizes the position of the object.

Stimulation system, comprising an implantable stimulation device (60), at least one implantable stimulation electrode (70) and at least one initializing sensor (40), whereby the initializing sensor (40) is configured to detect in the implanted state a voluntarily controlled muscle movement, a voluntarily induced brainwave or a voluntarily generated nerve pulse of a patient during the initial phase of a swallowing process and to generate a sensor signal in response thereto either continuously or in a clocked cycle or in response to the preceding and to send this signal to the stimulation device (60), and whereby the stimulation device (60) is configured to trigger the delivery of a stimulation pulse via the stimulation electrode (70) in response to such a sensor signal of the initializing sensor (40) which is based on a voluntarily initiated swallowing process.

A system and apparatus for enabling independent, highly reliable and accurate self-application of an anti-tremor means by a disabled patient, without requirement for application fixtures, wherein anti-tremor means comprises a single unit, self adhesive stimulation and recording electrode with an integrated supply of energy and a control unit, further comprising an alignment, and application means for applying said anti-tremor means configured to enable independently self application by a severely handicapped patient, wherein system and method for tremor reduction is by means of closed-loop functional electrical stimulation, including a sensor for sensing muscle movements, and Functional Electrical Stimulation (FES) apparatus for providing FES to a muscle, the FES apparatus being in communication with the sensor via a band pass filter for filtering around a tremor frequency to ignore slow movements and high frequency noise.

The invention discloses a muscle movement event recognition system and method. The system comprises a signal collection module, a signal processing module and a signal recognition module, the signal collection module is composed of an electromyogram collection module and an electroencephalogram collection module, the signal processing module performs signal processing on data collected by the signal collection module and performs event detection, and the signal recognition module recognizes, marks and classifies detected events. By the muscle movement event recognition system and method, effective electromyographic signals, namely electromyographic signal events can be marked efficiently in the field of neurophysiological detection and diagnosis, and marked electromyographic and electroencephalographic signal events can be analyzed and processed accurately, so that operating rate is increased substantially and operating time delay and equipment power consumption of the system are reduced.

A universal fitness apparatus for force resistance, postural, and balance exercises. A flange assembly is coupled to a longitudinal shaft. The flange assembly can comprise receptacles for receiving handles or it can itself comprise handles. A user can support herself with the handles while performing a variety of exercises that target multiple muscle groups. The height of the handles can be adjusted by sliding the flange assembly along the shaft. Alternatively, the flange assembly and shaft can be mounted to a height adjustable runner coupled to a longitudinal track. A pin and / or lock to hold the flange assembly and / or runner at a particular height can be provided. The flange assembly can be rotationally coupled to the shaft so that the user can move the handles while performing oblique muscle movements. The receptacles and / or the handles can be pivotally movable such that the handles can be stored in an upright position.

The invention relates to the technical field of sports medicine and provides a muscle force assessment method and device and a muscle rehabilitation training tracking and assessment method and system. The muscle force assessment method includes the steps that image collection: ultrasonic equipment is adopted for collecting a muscle contraction image video in the moving process of a patient in real time; image preprocessing: framing is performed on the collected muscle contraction image video, so that interesting image information is extracted and the image contrast is adjusted; motion field extraction: a motion assessment method is adopted for calculating a motion field of every two adjacent frames in the image, and the motion fields represent spatial-temporal changes of an image gray value in the x direction and the y direction; a muscular movement range curve is obtained: a quantized index is extracted from the motion fields, and the muscular movement range curve is calculated in a fitting mode and serves as a reference standard of muscle force assessment. The ultrasonic equipment is used for collecting the muscle image, the muscle assessment method and device are simple and visual, requirements for a doctor and the patient are relatively reduced, and the processes of assessing muscle force are simplified.

The invention discloses a wearable human upper limb muscle fatigue detection and training system based on multi-sensor data fusion. The system comprises a signal acquisition module, a data processingmodule, an alarm module and a human-computer interaction module. A surface electromyography sensor, a muscular sound sensor and a blood oxygen saturation sensor constitute a multi-sensor acquisition array which are worn on that measured upper limb part, and data fusion is carry out based on a weighted average method to synthetically calculate the muscle fatigue parameters of the upper limb, thereby greatly improving the detection accuracy of the muscle fatigue of the upper limb. If the parameter reaches the preset value, the system can give the fatigue alarm reminder. The system also has the function of muscle strength training, By collecting surface electromyography signals and muscle tone signals to judge human upper limb movements and muscle strength, and real-time monitoring muscle fatigue status, using wireless transmission mode to upload data to the human-computer interaction module, matching with the virtual game, make the upper limb muscle strength training process more interesting, and effectively improve its training effect.

A method and system for executing gesture based control of a vehicle system that include receiving at least one signal that pertains to at least one muscle movement from sensors disposed within a gear shift knob. The method and system also include determining at least one gesture based on the at least one signal. Additionally, the method and system include determining an interaction command with the vehicle system based on the at least one gesture. The method and system further include outputting the interaction command to the vehicle system.

The invention provides a combined surface myoelectricity and near infrared spectrum acquiring device. The combined surface myoelectricity and near infrared spectrum acquiring device comprises a signal acquiring module, a signal processing module, a power module and a wearing module, wherein the signal acquiring module is used for acquiring signals; the signal processing module is used for processing the signals; by using the wearing module, the combined surface myoelectricity and near infrared spectrum acquiring device is worn on a portion for acquiring the signals; and the signals comprise surface myoelectricity signals and near infrared spectrum signals. By using the combined surface myoelectricity and near infrared spectrum acquiring device, s EMG (electromyography) signals and near infrared spectrum signals which are generated during muscle movement can be simultaneously acquired; and by integrating characteristics of the s EMG signals and characteristics of the near infrared spectrum signals, influences of interference and noise on a man-machine interface can be reduced, so that the robustness of the man-machine interface is improved.

The invention relates to a motion tracking system enables faithful capture of subtle facial and eye motion using a surface electromyography (EMG) detection method to detect muscle movements and an electrooculogram (EOG) detection method to detect eye movements. Signals corresponding to the detected muscle and eye movements are used to control an animated character to exhibit the same movements performed by a performer. The motion tracking electrode is affixed to a skin surface of a performer at plural locations corresponding to respective muscles, and a processor operatively coupled to the plurality of pairs of EMG and EOG electrodes. The programming instructions further provide processing of the EOG data and mapping of the processed EOG data onto the animated character. As a result, the animated character will exhibit the same muscle and eye movements as the performer.