The present disclosure provides a vehicle control device, a vehicle control method and a head-up display apparatus. The vehicle control device includes: an extraction circuit used to extract brain wave signals of a user; and a control circuit used to determine whether the user is in an unsafe driving state according to the brain wave signals, and perform at least one of operations including issuing a warning reminder and controlling vehicle deceleration when determining that the user is in the unsafe driving state.

The present disclosure provides a vehicle control device, a vehicle control method and a head-up display apparatus. The vehicle control device includes: an extraction circuit used to extract brain wave signals of a user; and a control circuit used to determine whether the user is in an unsafe driving state according to the brain wave signals, and perform at least one of operations including issuing a warning reminder and controlling vehicle deceleration when determining that the user is in the unsafe driving state.

Systems and methods of analyzing user feedback in response to a cognition training program, including training at least one machine learning algorithm with a predefined dataset to predict a training success rate, wherein the pre-defined dataset includes previously received user feedback for users with known characteristics, receiving new user feedback, and determining a prediction of the Database training success rate with the at least one machine learning algorithm based on the received new user feedback.

The present disclosure provides a system for processing biological signals. The system may comprise a sensing module comprising one or more sensors for detecting at least one of a biological parameter of a subject and one or more biological signals of the subject, and an additional sensor for detecting ambient conditions associated with a surrounding environment of the subject. The system may comprise a signal processing module in communication with the sensing module, wherein the processing module is configured to aggregate and process data obtained using the one or more sensors to compute one or more markers for the subject. The system may comprise an output device optimization module in communication with the signal processing module and one or more output devices, wherein the output device optimization module is configured to control the output devices using the one or more computed markers and data obtained using the additional sensor.

The present disclosure provides a system for processing biological signals. The system may comprise a sensing module comprising one or more sensors for detecting at least one of a biological parameter of a subject and one or more biological signals of the subject, and an additional sensor for detecting ambient conditions associated with a surrounding environment of the subject. The system may comprise a signal processing module in communication with the sensing module, wherein the processing module is configured to aggregate and process data obtained using the one or more sensors to compute one or more markers for the subject. The system may comprise an output device optimization module in communication with the signal processing module and one or more output devices, wherein the output device optimization module is configured to control the output devices using the one or more computed markers and data obtained using the additional sensor.

In some examples, a processor is configured determine whether efficacy of therapy delivered by a medical device to the patient may have changed and generate a notification based on the determination. For example, a processor may be configured to determine whether a bioelectrical brain signal indicative of activity of a brain of a patient includes a biomarker that indicates efficacy of therapy delivered by a medical device to the patient may have changed, and generate notification based on determining the bioelectrical brain signal includes the biomarker. In some examples, the processor modifies the therapy delivered to the patient prior to generating the notification.

In some examples, a processor is configured determine whether efficacy of therapy delivered by a medical device to the patient may have changed and generate a notification based on the determination. For example, a processor may be configured to determine whether a bioelectrical brain signal indicative of activity of a brain of a patient includes a biomarker that indicates efficacy of therapy delivered by a medical device to the patient may have changed, and generate notification based on determining the bioelectrical brain signal includes the biomarker. In some examples, the processor modifies the therapy delivered to the patient prior to generating the notification.

A training and simulation assembly for the learning of deliberate control of a specified body part by a test subject contains an electrode cap, which has a number of electrodes, and an evaluation unit, which is configured to measure voltages present at the electrodes and to provide measurement results as EEG measurement data. The evaluation unit analyzes the EEG measurement data for the presence of a mental act and to determine a correspondence value, which indicates the correspondence of the EEG measurement data with reference values defined by the mental act. A control unit and a simulation unit are provided. The simulation unit stimulates the body of the test subject at a specified point of the body and/or to trigger a motion. The control unit controls the stimulation unit and the ability to apply an indicating stimulus to the body part by the stimulation unit.

A training and simulation assembly for the learning of deliberate control of a specified body part by a test subject contains an electrode cap, which has a number of electrodes, and an evaluation unit, which is configured to measure voltages present at the electrodes and to provide measurement results as EEG measurement data. The evaluation unit analyzes the EEG measurement data for the presence of a mental act and to determine a correspondence value, which indicates the correspondence of the EEG measurement data with reference values defined by the mental act. A control unit and a simulation unit are provided. The simulation unit stimulates the body of the test subject at a specified point of the body and/or to trigger a motion. The control unit controls the stimulation unit and the ability to apply an indicating stimulus to the body part by the stimulation unit.

The present disclosure relates to methods and systems for providing virtual feedback of a neural pattern to create a neural pathway corresponding to an action of an affected limb of a brain injury patient. Embodiments provide for detecting a neural pattern and determining a target action associated with the detected neural pattern. A virtual feedback is generated that includes a virtual action to be performed in a virtual representation of the affected limb. In embodiments, the brain injury may prevent the affected limb from performing the target action. The virtual representation of the affected limb is superimposed over a real-world presence of the affected limb such that the virtual representation is presented to the patient in lieu of the real-world presence, and the virtual action is performed in the virtual representation, such that the virtual action is presented to the patient in lieu of the target action in the real-world.