7 results about "Objective measurement" patented technology

Presented herein are substantially automated techniques that enable an electro-acoustic or other hearing prosthesis implanted in a recipient to use objective measurements to determine when the recipient is likely experiencing sound perception changes. Once one or more perception changes are detected, the hearing prosthesis may initiate one or more remedial actions to, for example, address the perception changes. As described further below, the one or more remedial actions may include adjustments to the recipient's operational map to reverse the one or more perception changes.

The application provides a flash fusion frequency detection device for objective measurement of human fatigue state, which at least comprises: the flash fusion frequency detection device (1) is integrated with a power line, a flash device (2) arranged on the surface of the flash fusion frequency detection device (1), and a detection result selection device (3) internally integrated with a flash frequency control module, a communication module, a storage module, a data processing module and a fatigue judgment module, and the fatigue condition of a detected person is determined through the judgment process of the data processing module and the fatigue judgment module under different conditions. The device can effectively prevent the subjective cheating behavior of the testee when detecting the flash fusion frequency of the human body, can finely manage the detection process, and can effectively reduce the deviation of the detection result caused by the misoperation of the detected person.

Intelligent distance and lane change assistance system for motor vehicles, comprising at least one radar sensor for measuring the distance and relative speed of a following vehicle, at least one camera unit for optically detecting following traffic, an electronic evaluation unit for calculating a safety parameter based on distance, relative speed and time-to-collision, an internal optical display element to indicate lane change readiness to the driver, and an external optical display element to indicate the traffic situation to following vehicles, wherein the evaluation unit automatically switches between at least two display levels depending on the safety parameter, wherein a red display signals an unsafe lane change due to insufficient distance of the following vehicle, and a green display indicates a safe lane change or a stable traffic situation.and wherein the system is designed such that the external display is controlled exclusively on the basis of objective measurement data determined by the sensors.

This invention provides a medical training system, comprising: a standardized feature library construction module, which breaks down target medical operations into multiple standard steps and defines a standard value range for each step; a competency standard library construction module, which defines multiple competency levels and associates them with corresponding target medical operations; a case provision module, which provides simulated clinical cases according to competency levels; an error recording module, which determines that an operation error is triggered when the monitored operation feature data deviates from the standard value range, and generates a personal error file; and a targeted training module, which, in response to a selection command, retrieves the training scenario of the operation error node and generates a specific training task for the operation error. Therefore, this invention establishes an objective, quantitative, and standardized operation evaluation system, transforming subjective operation evaluation into objective measurement, enabling graded judgment of operation compliance, reducing the subjectivity and variability of human evaluation, and improving the effectiveness of nurse training.

The invention discloses a scene awareness objective measurement method considering abnormal states, and relates to the field of human-intelligent interaction safety analysis. The method comprises four steps of experiment design and preparation, tested training and pre-experiment, formal data acquisition and monitoring, and data analysis and verification. Eye movement data before and after an abnormal state is collected through an eye movement tracking technology, a second-order transfer entropy index is innovatively introduced, parameters such as pupil variability and gaze entropy are combined, the relevance between eye movement parameters and scene awareness is verified through correlation analysis, and accurate quantitative evaluation of the scene awareness in the abnormal state is achieved. The method breaks through the limitation of a traditional measurement method, can truly reflect the real-time response of an operator to an abnormal state, provides support for the safety design and optimization of a man-machine system in the safety key fields of aviation, nuclear power and the like, and is remarkable in application value.

The invention provides a water turbine synchronous generator set carbon brush detection device and detection method, relates to the technical field of hydroelectric equipment detection, and solves the problem that installation parameters are out of control due to lack of objective measurement data of a carbon brush. The device comprises a data acquisition unit and a data processing display unit which are connected with each other, in the data acquisition unit, an outer shell is configured to be adaptively inserted into a brush holder of a water turbine synchronous generator set carbon brush, an angle sensor measures the relative inclination angle between the outer shell and the surface of a collecting ring, and a pressure sensor measures the pressure applied to the outer surface of the outer shell; in the data processing display unit, a controller receives and processes signals output by the angle sensor and the pressure sensor respectively, and a display module displays an angle measurement value and a pressure measurement value which are processed by the controller respectively. Accurate quantitative detection of the carbon brush installation angle and the spring pressure can be realized, so that field installation and debugging work is guided, and the operation reliability of a generator set is improved.

The application discloses an equivalent circuit parameter prediction method and device, equipment and a storage medium, and relates to the technical field of electrochemical analysis. The method comprises the following steps: based on an equivalent circuit parameter prediction model, processing unlabeled real impedance spectrum data to obtain predicted parameters and reconstructed impedance spectrum data determined based on the predicted parameters; based on the reconstructed impedance spectrum data and the unlabeled real impedance spectrum data, training the equivalent circuit parameter prediction model to obtain a target equivalent circuit parameter prediction model; and based on the target equivalent circuit parameter prediction model, predicting to-be-predicted impedance spectrum data to obtain target parameters of an equivalent circuit model corresponding to the to-be-predicted impedance spectrum data. In the foregoing manner, the dependence on real parameter labels is eliminated without any parameter labels, self-supervised training is achieved, the real spectrum of a reproduced objective measurement is taken as a target, and the prediction accuracy and reliability of the model are improved.