11 results about "Biofeedback training" patented technology

Provided are a multi-parameter group biofeedback training method, apparatus, and system, and a storage medium. The method includes: receiving a predetermined training program and a predetermined training prescription that are set in a training management module, the training program being a combination of individual trainings, and the training prescription being a combination of long-term, time-sequenced phased trainings or training programs; and presenting the training scenario to a subject based on the training or the training prescription to execute the training, and collecting in real-time physiological data and / or target indicator data selected for the training. The training prescription includes predetermined training programs for a plurality of phases and a transition rule between the training programs for the plurality of phases. The training program includes one or more training tasks in a predetermined execution sequence. Each training task has a corresponding training scenario.

Devices and methods for stimulation and modulation of brain activity using transcranial photobiomodulation (PBM) or brainwave or heart rate variability (HRV) biofeedback and analyzing and monitoring electroencephalographic (EEG) electrical activity evoked during, before and / or after neurocognitive tests using event-related potential (ERP) and evoked and induced EEG oscillations (ERO) measures in human users. Electroencephalography (EEG) and photobiomodulation (PBM) devices in the form of wearable apparatus with headphones for stimulating brain with PBM or using biofeedback training with concurrent EEG monitoring and evaluation of electrical activity generated by a person's brain during stimulation are described, along with description of methods for testing person's cognitive and physiological state during cognitive tests using the provided devices. PBM light is pulsed to stimulate an increase in targeted brain activity by providing additional energy to mitochondria and activating other photosensitive brain processes. PBM stimulation is combined with EEG sensors for detecting EEG responses during cognitive tests using event-related potentials (ERP) and evoked and induced EEG oscillations (ERO) for evaluation of user's cognitive status and treatment of functional outcomes.

Biofeedback training device for supporting trunk muscle activation, comprising a base element (1) with at least one sensor unit (2) for detecting a mechanical pressure effect by the user and an output unit coupled to the sensor unit (2) for generating a sensorily perceptible signal, characterized in that the output unit is configured to output a haptic signal by means of a vibration sensor (5) and / or an optical signal by means of at least one light source (6) when a predefined threshold value of the mechanical pressure effect is reached.

The present invention discloses a pelvic floor training device and training method based on heart rate variability biofeedback training. The pelvic floor training device based on heart rate variability biofeedback training provided by the present invention includes a host control module, an electrocardiogram signal acquisition module, an electrocardiogram signal analysis module, a biofeedback electrical stimulation module, and a breathing relaxation module; heart rate variability HRV is associated with pelvic floor training, and a training scheme is corresponding to the time domain analysis parameters and / or frequency domain analysis parameters of the electrocardiogram signal to provide users with a more accurate pelvic floor training effect. The pelvic floor training is achieved through the biofeedback electrical stimulation module, the breathing relaxation module, the intracavitary electrode, and the body surface electrode.

The invention provides a scoliosis biofeedback correction training chair which comprises a chair body, the chair body comprises a chair face, a backrest and a base, the backrest is connected to the upper portion of the rear side of the chair face, armrests are arranged on the two sides of the chair face, and the base is connected to the lower portion of the chair face; and the cushion assembly comprises two cushion bodies, two universal shafts and two vibration motors. When a patient uses the training chair, the patient sits on the cushion component on the chair surface of the chair main body, leans against the backrest, holds the armrests with both hands and steps on the pedal component at the bottom; the seat is provided with hip and foot training equipment at the same time, helps a patient to carry out pelvic inclination, hip bone unilateral training and lower limb training, mainly carries out biofeedback training on scoliosis of the lower body of the patient, and does not cause discomfort in the using process; the device is easy to operate, the training direction relates to pelvic bones, hips, feet and other parts which are difficult to design by ordinary equipment, and treatment on scoliosis is further improved.

The utility model relates to an adjustable air bag type pelvic floor muscle biofeedback trainer, and particularly relates to the technical field of medical apparatus and instruments. The adjustable air bag type pelvic floor muscle biofeedback trainer is composed of a medical silica gel air bag, a pressure regulating module, a pressure sensor, a main control unit and a display terminal. The air bag is provided with annular convex textures and is divided into a proximal chamber and a distal chamber; the pressure regulating module is connected with a micro air pump and an electromagnetic valve through a tee joint; a silicon piezoresistive sensor is embedded in a double air guide pipe to detect pressure in real time; the main control unit drives an air path and processes data, which are transmitted to the display terminal through SPI or wireless communication. The pneumatic structure realizes biomechanical feedback in the mechanical domain, and through independent regulation and control of the double chambers, dynamic adaptation of the air bag and rapid pressure response, the training precision and adaptability are improved, the biofeedback mechanism is converted from the electrophysiological domain to the mechanical domain, the "detection-feedback-regulation" closed loop is realized through the pneumatic structure innovation, a high cost-effective solution is provided for the pelvic floor rehabilitation field, and the hardware cost is reduced.

The invention discloses an ultrasonic myoelectricity biofeedback training system and method based on electroencephalogram signal guidance, and the system comprises an electrical stimulation module which is used for applying electrical stimulation to a target area; the ultrasonic module is used for applying ultrasonic waves to the target area; the parameter configuration module is used for configuring initial parameters of the electrical stimulation module and / or the ultrasonic module; the electric signal acquisition module is used for acquiring myoelectricity data and electroencephalogram data; the data processing and analyzing module is used for preprocessing and analyzing the myoelectricity data and the electroencephalogram data and starting and stopping or adjusting output parameters of the electrical stimulation module and the ultrasonic module according to an analysis result; and the control module is used for controlling the execution of the electrical stimulation module and the ultrasonic module. The system can feed back to a training system according to the real condition of a user, dynamically adjusts corresponding parameters, forms a feedback closed loop, and ensures that training treatment is more targeted and effective.

1. The name of the design product: biofeedback electrical stimulation instrument. 2. The use of the design product: used for collecting, analyzing and biofeedback training of the surface electromyogram of the patient's body, suitable for the auxiliary treatment of muscle dysfunction caused by nerve injury (including swallowing dysfunction and limb movement dysfunction). 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

Provided are a multi-parameter group biofeedback training method, apparatus and system, and a storage medium. The method comprises the following steps: receiving a training scheme and a training prescription preset in a training management module, wherein the training scheme and the training prescription are configured in training management, the configuration of the training management module comprises a training scenario, the training scheme is a combination of single training, and the training prescription is a combination of phased training or training schemes over an extended time period (S110); and displaying the training scenario to a participant according to the training or the training prescription so as to perform training, and collecting physiological data and / or target index data selected for the training in real time (S120). The training prescription comprises preset multiple stages of training schemes and a jump rule between the training schemes of the stages, and the training scheme comprises training tasks in a preset execution sequence, and each training task has a corresponding training scenario. The method can achieve standardized multi-parameter group biological training.

The invention discloses a post-stroke patient swallowing function evaluation and training instrument based on biofeedback, and belongs to the technical field of medical rehabilitation equipment. The device comprises a signal acquisition module, a signal processing module, a data analysis module, a feedback output module and a power management module. A 64-channel flexible electrode array is used for collecting electromyographic signals, a 9-axis inertial measurement unit is used for tracking six-degree-of-freedom movement of the throat, a double-channel microphone is used for collecting acoustic signals, and a double-channel pressure sensor is used for detecting pressure of tongue bones and thyroid cartilages. The electromyographic signals are reconstructed into a three-dimensional space-time thermodynamic diagram through radial basis function interpolation, and four modal data are fused through a deep learning model to achieve automatic swallowing phase recognition and anomaly detection. And visual, auditory and tactile three-channel real-time biological feedback training is provided. According to the invention, multi-dimensional accurate evaluation, multi-modal real-time feedback and intelligent adaptive training are realized, and the evaluation accuracy of the swallowing function and the rehabilitation training effect are improved.