7 results about "Prefrontal lobe" patented technology

The application discloses a transcranial electrical stimulation target parameter optimization method, system, device and computer readable storage medium, and belongs to the technical field of neural regulation and medical auxiliary equipment. The optimization method comprises the following steps: S1, acquiring a head medical image, and constructing a head finite element simulation model based on the medical image; S2, in the head finite element simulation model, defining a target stimulation brain area as a ventromedial prefrontal cortex area; S3, simulating transcranial electrical stimulation in the finite element simulation model, and through simulation calculation, taking the concentration of current density in the ventromedial prefrontal cortex area as an optimization target, and determining at least one transcranial electrical stimulation parameter; wherein the transcranial electrical stimulation parameter comprises an electrode position and / or an electrical stimulation waveform parameter. The optimization method changes the parameter selection from experience dependence to scientific calculation based on a biophysical model, improves the accuracy of the stimulation parameter, and thus realizes precise brain area targeted stimulation.

This invention belongs to the field of intelligent transportation and autonomous driving technology, and discloses a dynamic decision-making method and system for unprotected left turns of unmanned vehicles based on neuromorphic neural networks. The method constructs a traffic scene graph and introduces a neuromorphic neural network for prefrontal cortex-like collaborative spatial reasoning to generate scene-level semantic representations. Based on this, a structured left-turn action graph is constructed, and feasibility and risk assessments are performed on candidate driving behaviors. An action mask is generated to dynamically compress the decision space. Within the framework of a proximal policy optimization algorithm, a risk budget mechanism is combined to achieve an adaptive balance between safety and efficiency. Simultaneously, a scene graph memory is constructed, and historically successful strategies are reused through similarity retrieval to improve cross-scene generalization ability. This invention effectively solves the problems of excessively large decision space, unstable behavior, difficulty in balancing safety and efficiency, and insufficient generalization ability of existing unmanned vehicles in complex intersection scenarios, significantly improving the stability, safety, and adaptability of decision-making.

The application relates to the technical field of brain-computer interfaces, and discloses a brain-computer interface terminal device. The brain-computer interface terminal device comprises a flexible main body frame, a frontal lobe collection array, a dual-function ear clip module, a magnetic suction modular electrode and a master control integrated module; the frontal lobe collection array is arranged on the flexible main body frame and adopts a multi-point potential distribution design; the dual-function ear clip module integrates a reference electrode and an environmental noise sensor and is used for synchronously collecting brain electrical reference potential and environmental electromagnetic interference data; the magnetic suction modular electrode adopts a magnetic suction female buckle interface design to be compatible with dry electrodes and flexible patch electrodes and to realize plug and play; the master control integrated module is electrically connected with the frontal lobe collection array, the dual-function ear clip module and the magnetic suction modular electrode respectively, so as to realize brain electrical signal collection and interference elimination, adaptive adjustment of electrode collection parameters, dynamic switching of a collection channel and a sampling rate, linkage configuration of an electrode working mode and a collection point.

This invention belongs to the field of brain function testing technology, specifically disclosing a method and system for assessing care efficacy based on near-infrared super-scanning. This method uses a near-infrared brain functional imaging (fNIRS) system to simultaneously acquire light intensity data from the prefrontal, parietal, and occipital cortices of subjects performing cooperative cognitive tasks with caregivers, converting this data into oxygenated and deoxygenated hemoglobin concentrations for individual-level analysis. Brain region matching is completed, and interbrain synchronous activity is detected through transfer entropy analysis and combined power spectrum analysis to obtain the magnitude and directionality of interbrain synchronicity. Based on the magnitude and directionality of interbrain synchronicity, the level of care efficacy between patients with cognitive impairment and their caregivers is assessed. This technical solution utilizes super-scanning technology to analyze and obtain the level of care efficacy between patients with cognitive impairment and their caregivers, thereby facilitating focused observation and care for patients with cognitive impairment.

This invention discloses a control method for an intelligent flavor-customized popcorn machine based on multi-brain region signal interaction, solving the problems of existing devices' strong reliance on limb operation and poor scene adaptability. The device includes a popcorn machine main body, a 16-channel EEG acquisition device, and an STM32F103RBT6 main controller, etc., constructing a hierarchical control link through WIFI+I2C+SPI. It employs SSVEP frequency-phase joint modulation coding to achieve flavor / ingredient selection based on thought, decoded by the FB-CCA algorithm, achieving a recognition accuracy of ≥95%. Attention level is calculated using prefrontal cortex EEG signals, dynamically matching heating power. An integrated modular ingredient dispensing box enables automatic and precise ingredient dispensing, coupled with a smart touchscreen for status feedback and interaction, and also supports voice backup control. The device requires no limb operation, adapting to scenarios such as independent living for people with disabilities, attention training for children, and entertainment, achieving a fully closed-loop control of "thought-execution-feedback," with stable communication and convenient operation.

The application provides a right brain development kit based on the whole brain development cycle, which combines fetal period neural plasticity intervention and early childhood spatial cognition training. The kit includes a building block base, an instruction building block, a mobile terminal, an image recognition server and a development board. Pregnant mothers activate the prefrontal lobe cognitive brain area through visual-spatial geometry training (such as angle trajectory operation), and the neurotransmitter is transmitted through the placenta to promote fetal right brain development; in the early childhood, the teaching medium (such as the conductive drawing device) is controlled through the building block instruction to continue the spatial thinking training. The image recognition server automatically analyzes the building block instruction and compiles the control code to realize seamless connection of the fetal-early childhood right brain development, and significantly improve the spatial cognition, creativity and learning efficiency.

The present specification provides a lightweight brain function state evaluation device, method and system, wherein the device comprises: a portable head-mounted device provided with a detection electrode group corresponding to the prefrontal lobe, central region, parietal lobe and occipital lobe of the brain; a processing unit configured to determine a four-parameter feature set from a multi-channel electroencephalogram signal, the four-parameter feature set comprising a peak alpha frequency, a 1 / f spectrum slope, an alpha wave relative power and a theta wave relative power; and calculate a brain function state quantitative index value based on a preset mapping relationship according to the four-parameter feature set, the mapping relationship being such that when the four-parameter feature set is the same, a unique brain function state quantitative index value is output. The present scheme can simplify the device structure, simplify the device usage, reduce the device cost, and more scientifically, accurately and reliably evaluate the brain function state, thereby being more suitable for the needs of scenarios such as daily brain function detection and personal daily health management at home.